Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

Evolution, expression and functional analysis of cultivated allotetraploid cotton DIR genes

BMC Plant Biology volume 21, Article number: 89 (2021) Cite this article

Abstract

Background

Dirigent (DIR) proteins mediate regioselectivity and stereoselectivity during lignan biosynthesis and are also involved in lignin, gossypol and pterocarpan biosynthesis. This gene family plays a vital role in enhancing stress resistance and in secondary cell-wall development, but systematical understanding is lacking in cotton.

Results

In this study, 107 GbDIRs and 107 GhDIRs were identified in Gossypium barbadense and Gossypium hirsutum, respectively. Most of these genes have a classical gene structure without intron and encode proteins containing a signal peptide. Phylogenetic analysis showed that cotton DIR genes were classified into four distinct subfamilies (a, b/d, e, and f). Of these groups, DIR-a and DIR-e were evolutionarily conserved, and segmental and tandem duplications contributed equally to their formation. In contrast, DIR-b/d mainly expanded by recent tandem duplications, accompanying with a number of gene clusters. With the rapid evolution, DIR-b/d-III was a Gossypium-specific clade involved in atropselective synthesis of gossypol. RNA-seq data highlighted GhDIRs in response to Verticillium dahliae infection and suggested that DIR gene family could confer Verticillium wilt resistance. We also identified candidate DIR genes related to fiber development in G. barbadense and G. hirsutum and revealed their differential expression. To further determine the involvement of DIR genes in fiber development, we overexpressed a fiber length-related gene GbDIR78 in Arabidopsis and validated its function in trichomes and hypocotyls.

Conclusions

These findings contribute novel insights towards the evolution of DIR gene family and provide valuable information for further understanding the roles of DIR genes in cotton fiber development as well as in stress responses.

Background

The genus Gossypium contains at least 46 diploids and five well-established allotetraploids. Two allotetraploid species, G. hirsutum and G. barbadense, have been cultivated worldwide, which originated from one hybridization event between A-genome (resembling G. arboreum or G. herbaceum) and D-genome (resembling G. raimondii) progenitors around 1–2 million years ago (MYA) [1, 2]. G. hirsutum accounts for more than 90% of the global cotton production because of its high yield, whereas G. barbadense is characterized by its superior fiber properties. Cotton faces biotic and abiotic stresses during its growth; in addition, improved fiber quality became an urgent need to address the challenges of synthetic fiber industry. The most economic and effective strategy is to develop genetically modified cultivars that not only enhance resistance against environmental stresses but also improve fiber quality. Thus, it is important to mine candidate genes and explain their mechanisms.

Dirigent (from Latin dirigere, to guide or align) protein was first isolated from Forsythia intermedia and mediated regioselective and stereoselective coupling of two coniferyl alcohol-derived radicals during (+)-pinoresinol biosynthesis [3]. After that, (+)-pinoresinol-forming DIR proteins have been cloned from several seed-bearing plants, such as Thuja plicata [4], Schisandra chinensis [5], Pisum sativum [6], Linum usitatissimum [7] and Glycine max [8]. Additionally, (−)-pinoresinol-forming DIR proteins from Arabidopsis thaliana [5] and Linum usitatissimum [7] were also isolated and characterized. Lignin also derives from monolignol polymerization but is optically inactive. Although molecular mechanisms remain obscure, DIR proteins have been involved in lignin biosynthesis [9,10,11]. Besides the monolignol metabolism, a few cotton DIR proteins were proposed to mediate the formation of (+)-gossypol by atropselective coupling of hemigossypol radicals [12, 13]. DIR proteins typically lack a catalytically active center, but some members in leguminous plants, with isoflavanol dehydratase activity, can produce pterocarpans [14].

Having the various biochemical functions, DIR proteins play important roles in stress responses, especially in plant defense against pathogens. The expression of PsDRR206 in pea pod tissue was induced by Fusarium solani infection, and its metabolite functioned as phytoalexin [6]. Overexpression of GmDIR22 in soybean can increase total lignan accumulation and enhance plant resistance to Phytophthora sojae [8]. Pepper plants with the silencing of CaDIR7 are more susceptible to Phytophthora capsici, NaCl and mannitol stresses [15]. Cotton plants with the overexpression of GhDIR1 showed an increased lignin content and displayed more resistance to Verticillium dahliae [11]. Besides defense responses, DIR proteins also presented other kinds of physiological functions such as Casparian strip formation [10] and pod dehiscence [16].

Ralph and colleagues performed a phylogenetic analysis of 150 DIR proteins from the seed plant division and suggested the presence of six distinct DIR subfamilies, DIR-a and five DIR-like subfamilies (b/d, c, e, f and g) [17]. After that, DIR gene family has been systematically studied in several vascular plants, and some stress-induced genes [15, 18,19,20] or SCW-related genes [21, 22] were identified. Understanding the functions of DIR genes would be a practicable approach to enhance stress resistance of cotton and to improve fiber properties, but no comprehensive understanding has been provided in cotton until now. There are only a few V. dahliae-responsive DIR genes in literatures, and fiber development-related DIR genes remain to be identified. Recently, a series of Gossypium whole-genome sequences has been released, which makes it possible to analyze gene family at a genome-wide level in cotton. In the present study, we firstly identified the DIR gene family members in cultivated allotetraploid cotton, G. barbadense and G. hirsutum, and analyzed their evolution. Their expression patterns in response to V. dahliae infection and during cotton fiber development were systematically investigated. Furthermore, the functional analysis of GbDIR78 in Arabidopsis revealed its role in cell elongation. Our findings will further the understanding of this elusive gene family and provide candidate DIR genes for both defense response and fiber development.

Results

Identification, characterization and phylogenetic analysis of DIR genes

We identified 107 GbDIR genes (GbDIR1-GbDIR107) in G. barbadense and 107 GhDIR genes (GhDIR1-GhDIR107) in G. hirsutum (Table 1; Additional file 8: Table S1 and S2). To understand the evolutionary relationships, a neighbor-joining (NJ) phylogenetic tree was constructed using the coding sequences of 107 GbDIRs, 107 GhDIRs, 25 AtDIRs (Arabidopsis thaliana), 44 LuDIRs (Linum usitatissimum), 49 OsDIRs (Oryza sativa) and 35 PDIRs (Picea spp.) (Additional file 8: Table S3). As shown in Fig. 1, DIR genes were clearly divided into six subfamilies, designated as DIR-a, DIR-b/d, DIR-c, DIR-e, DIR-f and DIR-g. The topological structure is essentially in agreement with previous reports [17, 19, 21, 23]. Among these subfamilies, DIR-a consisted of 8 GbDIRs, 7 GhDIRs, 5 AtDIRs, 6 LuDIRs, 7 OsDIRs and 12 PDIRs, indicating a highly-conserved ancient clade. The largest group DIR-b/d consisted of 81 GbDIRs, 82 GhDIRs, 14 AtDIRs, 28 LuDIRs, 10 OsDIRs and 12 PDIRs, showing that DIR-b/d has expanded considerably in allotetraploid cotton. In contrast, DIR-f only included 5 GbDIRs, 4 GhDIRs, 3LuDIRs and 11 PDIRs, probably due to gene losses in Arabidopsis thaliana and Oryza sativa. DIR-e contained 13 GbDIRs, 14 GhDIRs, 6 AtDIRs, 6 LuDIRs, 3 OsDIRs but no PDIRs, suggesting a possible angiosperm-specific clade. DIR-c and DIR-g might be unique to monocotyledons, for they only contained OsDIRs. To validate the phylogenetic relationships, we reconstructed two phylogenetic trees using DIR protein sequences of G. barbadense and G. hirsutum (Additional file 1: Figure S1). The evolutionary relationships were highly consistent with that in Fig. 1. Furthermore, these DIR protein sequences were submitted to MEME to discover conserved motifs. As shown in Additional file 1: Figure S1, the adjacent clades carried similar motifs.

Table 1 Summary of DIR genes in G. barbadense and G. hirsutum
Full size table
Fig. 1
figure 1

Phylogenetic relationships of DIR genes from G. barbadense, G. hirsutum, A. thaliana, L. usitatissimum, O. sativa and Picea. The phylogenetic tree was constructed by MEGA 7.0 using the neighbor-joining (NJ) method with 1000 bootstrap replicates. Bootstrap values > 50% are shown by blue solid circles on the branches, and their sizes reflect the reliability

Full size image

Most cotton DIR genes (especially members in DIR-a, DIR-e and DIR-f) held a classical gene structure without intron (Additional file 1: Figure S1). Notably, the DIR-b/d clade showed variable gene structures, indicating lower selection constraints. About 77% of GbDIRs and 82% of GhDIRs encoded proteins containing a signal peptide (Additional file 8: Table S1 and S2). As expected, subcellular localization prediction showed that they were mainly located in the extracellular space. In spite of having a signal peptide, several DIR proteins belonging to DIR-b/d were directed to the vacuole. In addition, DIR proteins located in the nucleus or the peroxisome were observed; the unexpected localization might signify novel functions. We also scanned cotton DIR protein sequences for N-glycosylation sites to explore their solubility and stability. Interestingly, DIR-e genes had much fewer N-glycosylation sites (Table 1), displaying the evolution and divergence of cotton DIR gene family.

Chromosomal distribution, duplication and evolution

To determine the chromosomal distribution of cotton DIR genes, we marked their physical locations on chromosomes based on their annotation information (Additional file 2: Figure S2). All the 107 GhDIRs were mapped to 24 of the total 26 chromosomes (i.e. except At06 and Dt06). The gene number varied from 1 to 15 across these chromosomes. Specifically, GhDIRs belonging to DIR-b/d were enriched on chromosomes At01, At04, At11, Dt01, Dt04 and Dt11, while DIR-e genes were mainly located on At10 and Dt10. Gene clusters were frequently observed, indicating a number of tandem duplication events. Because of the short divergence time, GbDIRs and GhDIRs were extremely similar in chromosomal distribution. GbDIRs were located on chromosomes except Dt02, At06 and Dt06, and the gene number ranged from 1 to 13. Six genes (GbDIR29 and GbDIR103-GbDIR107) were not mapped because of the incomplete location information.

To analyze the expansion of cotton DIR gene family, we identified segmental and tandem duplications in G. barbadense and G. hirsutum. The numbers of segmentally duplicated DIR genes and tandemly duplicated DIR genes were 13 and 31, respectively, in G. barbadense and 18 and 41 in G. hirsutum (Table 1; Fig. 2a and b; Additional file 8: Table S4 and S5). Obviously, tandem duplication as the major impetus drove the expansion of cotton DIR gene family, corresponding to the above-mentioned gene clusters. Ks (substitution per synonymous site) values can be used to estimate the occurrence time of gene duplications and then to identify whole-genome duplication (WGD) events. Ks ranges of 0.4–0.6 (corresponding to Gossypium-specific WGD around 16.6 MYA) and 1.5–1.9 (corresponding to the paleo-hexaploidization event shared by eudicots around 130.8 MYA) were observed in G. raimondii [24]. Moreover, Ks peak of 0.03 accounts for the divergence between A-genome and D-genome progenitors [25]. Here we also calculated the Ks values of gene duplications to analyze their occurrence time; the LPB method was selected because its results were just in line with expectations (Additional file 8: Table S4 and S5). As shown in Fig. 2, Ks values of GbDIR14/GbDIR41, GbDIR79/GbDIR99 and GhDIR13/GhDIR41 were 0.60, 0.41 and 0.58, respectively, indicating that these three segmental duplications might be generated from Gossypium-specific polyploidization. The other segmental duplications were inferred to arise from the paleo-hexaploidization event, for their Ks values were in or near 1.5–1.9. Interestingly, segmentally duplicated DIR genes were mainly retained from the ancestral WGD event rather than the recent one, suggesting some evolutionarily conserved genes. Ks values of the tandem duplications ranged from 0.02 to 2.92 in G. barbadense and from 0.03 to 2.68 in G. hirsutum. Most of the tandem duplications had Ks value less than 0.5, showing a recent expansion of cotton DIR gene family. The lacking Ks values of 0.5–1.0 might mean gene losses and/or translocations due to chromosome re-packaging processes following polyploidization. Besides, some tandem duplications with Ks > 1.0 were observed, suggesting that these genes were quite stable.

Fig. 2
figure 2

Duplication events among DIR genes. a Segmental and tandem duplications in G. barbadense. Green and blue lines indicate segmental duplications within At- and Dt-subgenome, respectively. Red lines indicate tandem duplications. Ks values are displayed next to the lines. Orange lines link homologous genes between At- and Dt-subgenome. b Segmental and tandem duplications in G. hirsutum. c The expansion of cotton DIR gene family. The phylogenetic tree consists of 107 GbDIRs, 107 GhDIRs and 23 reported DIRs (in a white font). Track i marks segmental duplications, while tracks ii, iii, iv and v mark tandem duplications with Ks ranges of 0.0–0.2, 0.2–0.6, 0.6–1.9 and 1.9–3.0, respectively

Full size image

To further reveal evolutionary history of cotton DIR gene family, we integrated the duplication events with a phylogenetic tree containing 107 GbDIRs, 107 GhDIRs and 23 reported DIRs (Fig. 2c; Additional file 8: Table S6). Track i marked segmental duplications, while tracks ii, iii, iv and v (with artificially-created Ks ranges of 0.0–0.2, 0.2–0.6, 0.6–1.9 and 1.9–3.0, respectively) labeled tandem duplications. The values 0.6 and 1.9 referred to above-mentioned 0.4–0.6 and 1.5–1.9, respectively, and a cluster of Ks values around 0.1 set up the Ks range of 0.0–0.2 (Additional file 8: Table S4 and S5). The DIR-a clade, mainly involved in lignan biosynthesis, was basically established before the Gossypium-specific WGD event (Fig. 2c). Similarly, DIR-e was also a relatively ancient clade because of the lack of recent duplications. Clearly, DIR-b/d has experienced rapid expansion due to recent tandem duplications; we believed DIR-b/d-I, −II and -III arose in turn in evolution. Among them, DIR-b/d-I covered tandem duplications and segmental duplications, forming a transition clade. DIR-b/d-II and the right half of DIR-b/d-III, lacking traces of duplication events, might have undergone large-scale gene losses and/or translocations. The left half of DIR-b/d-III, involved in the atropselective synthesis of gossypol, emerged recently due to tandem duplications. In addition, DIR-f was obviously inactive in cotton evolution (Table 1).

The Ka/Ks ratio is a measure of selective pressure on proteins, and Ka/Ks > 1, = 1 and < 1 indicate positive selection (or molecular adaptation), neutral evolution, and purifying selection (or selective constraints), respectively. Here we calculated the Ka/Ks ratio for all the duplicated DIR gene pairs (Additional file 8: Table S4 and S5). Interestingly, those three gene pairs generated from Gossypium-specific WGD (i.e. GbDIR14/GbDIR41, GbDIR79/GbDIR99 and GhDIR13/GhDIR41) showed Ka/Ks ratios > 1, implying that positive selection might contribute to their surviving from gene losses and/or translocations. Ka/Ks ratios of the other segmentally duplicated DIR gene pairs were fairly low (0.14–0.35 in G. barbadense and 0.14–0.34 in G. hirsutum), suggesting the conserved functions due to purifying selection (Additional file 3: Figure S3a and S3b). Moreover, tandemly duplicated gene pairs belonging to DIR-a and DIR-e also showed very small Ka/Ks values (0.11–0.38 in G. barbadense and 0.13–0.39 in G. hirsutum), further showing the conservation of these two clades. In contrast, gene pairs in the DIR-b/d-III clade held larger Ka/Ks values (0.51–1.74 in G. barbadense and 0.53–1.04 in G. hirsutum), indicating weaker selective constraints (Additional file 3: Figure S3c and S3d). The moderate selection pressure might result in the rapid expansion of DIR-b/d-III.

Evolutionary history of cotton DIR gene family

To further verify the evolution of cotton DIR gene family, we constructed a phylogenetic tree consisting of 488 DIR genes from eight dicotyledonous species sharing a common paleo-hexaploid ancestor (Fig. 3a; Additional file 8: Table S7). After the paleo-hexaploidization event, Arabidopsis thaliana and Glycine max have severally undergone two rounds of WGD events, while no WGDs have been identified in Vitis vinifera and Theobroma cacao [26,27,28,29]. Moreover, the Gossypium genus has experienced lineage-specific WGD, divergence and hybridization. As shown in Fig. 3a, we identified 33, 54, 25, 32, 63, 67, 107 and 107 DIR genes in Vitis vinifera, Glycine max, Arabidopsis thaliana, Theobroma cacao, G. arboreum, G. raimondii, G. barbadense and G. hirsutum, respectively. We assigned these DIR genes to distinct clades (Fig. 3b). Although they underwent different rounds of WGDs, these species were quite consistent in the number of DIR-a genes; G. barbadense and G. hirsutum, as tetraploid species, displayed DIR-a genes twice as many as the others. Similarly, apart from soybean, DIR-e was stable across species. Thus, DIR-a and DIR-e might have been set up before the divergence of Rosids, corresponding to the results inferred from the duplication events. In the above analysis, we found that DIR-f was evolutionarily inactive in G. barbadense and G. hirsutum. As expected, G. arboreum, G. raimondii, Arabidopsis thaliana and Theobroma cacao, belonging to Malvids, possessed less DIR-f genes. In particular, Arabidopsis thaliana lost the DIR-f clade during its evolution. DIR-b/d-I existed in all the eight species, DIR-b/d-II was absent in grape and soybean, and DIR-b/d-III was lineage-specific in cotton. Clearly, DIR-b/d-I, −II and -III really appeared in turn in evolution. It has been shown that DIR-b/d-III displayed two distinct clades and that the left clade arose later than the right. As shown in Fig. 3c, most genes in the left clade of DIR-b/d-III were in the collinear blocks, suggesting that DIR-b/d-III was established before the divergence of cotton species. The chromosome reciprocal translocation between At04 and At05 was also observed, which has been confirmed recently [30].

Fig. 3
figure 3

Evolutionary history of cotton DIR gene family. a Phylogenetic relationships of DIR genes from V. vinifera, G. max, A. thaliana, T. cacao, G. arboreum, G. raimondii, G. barbadense and G. hirsutum. b DIR genes were assigned to distinct clades. The figures in circles stand for the number of genes. c The collinearity among multiple Gossypium genomes. Lines between chromosomes show orthologous genes

Full size image

Expression patterns and transcriptional regulation

Studies have shown that DIR proteins are implicated in lignan, lignin and gossypol biosynthesis, which are all part of plant defense responses against pathogens. To investigate the role of cotton DIR genes in disease resistance, the expression patterns of GhDIRs were analyzed in response to V. dahliae and water (the check group) using a Verticillium wilt-resistant cultivar. As a result, about one quarter of GhDIRs were highly expressed in the check group (Fig. 4). For the “gossypol clade” (the left half of DIR-b/d-III), almost half of the members showed a fairly high expression level, indicating its importance in plant pre-formed defense. Once the seedlings were inoculated with V. dahliae, most of the highly expressed GhDIRs were dramatically down-regulated. It seems that V. dahliae can weaken the functions of DIR genes by disturbing their expression to colonize cotton hosts. These down-regulated genes should be an important resource to understand plant-pathogen interaction. To verify the intriguing expression patterns, we also analyzed V. dahliae- and water-responsive expression of GhDIRs at 12 hpi in six other cultivars, and the log2(fold-change) values were presented in a heatmap (Additional file 4: Figure S4). After inoculation with V. dahliae, the cultivars S1 and S2 exhibited the largest number of down-regulated DIR genes, corresponding to their lowest Verticillium wilt resistance. In contrast with S1 and S2, the cultivars T3 and T4 showed more up-regulated genes in the DIR-a and DIR-e clades, and thus showed higher Verticillium wilt tolerance. Unlike T3, T4, S1 and S2, the cultivars T1 and T2 displayed quite a number of up-regulated DIR genes following inoculation with V. dahliae. Despite having different patterns in different cultivars, DIR genes might have contributed to cotton Verticillium wilt resistance.

Fig. 4
figure 4

Circular heatmap depicting the expression patterns of GhDIRs in response to V. dahliae and water (CK). RNA-seq data were generated from the roots of four-week-old cotton seedlings. Panel i shows up-regulated genes after inoculation with V. dahliae (compared with the CK group), while panel ii shows down-regulated genes. Panel iii shows V. dahliae- and water-responsive expression levels. The original FPKM values were provided as Additional file 8: Table S11

Full size image

Considering that lignin/lignin-like phenolics can affect cotton fiber quality, we analyzed the expression patterns of DIR genes during cotton fiber development (Fig. 5). As shown, the expression profiles in G. barbadense (Pima90–53 and Hai7124) were similar to that in G. hirsutum (HY405 and ND13), exhibiting low expression levels in the DIR-e, DIR-f and DIR-b/d-III clades. Several genes belonging to DIR-b/d-II (GbDIR25, GbDIR71 and GbDIR107 in G. barbadense; GhDIR27, GhDIR28, GhDIR75 and GhDIR76 in G. hirsutum) were preferentially expressed in cotton fibers of 20, 25 and 30 DPA, indicating potential functions in secondary wall development. GbDIR78 and GhDIR35 which were part of DIR-b/d-I showed high transcript levels in the fibers of 5, 10 and 15 DPA, suggesting their importance during cotton fiber elongation. Furthermore, GbDIR78 and GhDIR35 were highly homologous but differentially expressed. Two DIR-a genes GhDIR12 and GhDIR36 were highly expressed during secondary wall thickening, whereas their orthologous genes GbDIR13 and GbDIR35 exhibited quite low expression levels. The differential expression might have contributed to the different fiber quality between these two species.

Fig. 5
figure 5

Expression patterns of DIR genes in cotton fibers. a Expression data from G. barbadense cultivars Pima90–53 (i) and Hai7124 (ii). b Expression data from G. hirsutum cultivars HY405 (iii) and ND13 (iv). 0–30 correspond to the number of days post-anthesis. The original RPKM values were provided as Additional file 8: Table S13 and S14

Full size image

Transcription factor binding sites (TFBS) provide cues for transcriptional regulation. A total of 266 JASPAR matrices were selected and fetched to identify potential TFBS in the promoter regions of GbDIRs and GhDIRs (Additional file 8: Table S8). Despite the biased JASPAR database and the strict threshold, TFBS were widely detected, including hormone-activated signaling pathway (ABA, IAA, ETH, GA, JA and SA), response to abiotic stresses (drought, salt and temperature), response to biotic stresses, and plant cell wall development (Fig. 6; Additional file 5: Figure S5; Additional file 8: Table S9 and S10). In the DIR-a, DIR-e and DIR-f clades, GhDIR33, GhDIR36, GhDIR78, GhDIR80, GhDIR86 and GhDIR92 had no TFBS related to ABA signal transduction and showed little or no expression in the roots of cotton seedlings (Fig. 4); the others tended to be highly expressed, indicating the probable regulatory roles of ABA signaling in root-specific gene expression. Four DIR-b/d-II genes GhDIR27, GhDIR28, GhDIR75 and GhDIR76 were highly expressed in cotton fibers. Despite having extremely close phylogenetic relationships with these four genes, GhDIR6 and GhDIR64 exhibited quite low expression levels (Fig. 5b). One cause may be the lack of TFBS in their promoter regions (Fig. 6). Similarly, GbDIR6 and GbDIR60 differed from GbDIR25, GbDIR71 and GbDIR107 in TFBS occurrences and in transcript levels (Fig. 5a; Additional file 5: Figure S5). As another example, GhDIR36 carried more IAA-responsive TFBS than GbDIR35, corresponding to their differential expression in cotton fibers (Fig. 5; Additional file 6: Figure S6a). Considering that GbDIR13 and GhDIR12 differed in transcript levels in cotton fibers but owned similar TFBS (Fig. 5; Additional file 6: Figure S6b), their trans-acting TFs were analyzed. As shown, some TFs associated with IAA signaling, ETH signaling or plant cell wall development exhibited higher expression levels in G. hirsutum than in G. barbadense.

Fig. 6
figure 6

Identification of TFBS in the promoter regions of GhDIRs. A total of 266 JASPAR matrices were selected. FIMO was used to identify potential sites with a threshold of p-value < 1E-5. Histograms represent the number of TFBS in each category

Full size image

Functional characterization of GbDIR78 in Arabidopsis

RNA-seq data showed GbDIR78 was preferentially expressed during cotton fiber elongation and that GbDIR78 and GhDIR35 differed in transcript levels, implying the involvement of GbDIR78 in cell elongation. To further identify its functions, the ORF of GbDIR78 driven by a 35S promoter was transformed into A. thaliana plants. Two transgenic T3 lines OE2 and OE3 were generated, and the stable expression of GbDIR78 was confirmed by Real-time PCR and Western blot (Fig. 7a and b). Arabidopsis leaf trichomes can serve as a useful experimental system to dissect cotton fiber development because they partly share regulatory mechanisms [31,32,33,34]. Here, trichomes from the fifth rosette leaves of OE2, OE3 and WT plants were measured, and then we discovered that the transgenic plants owned significantly longer trichomes (Fig. 7c and d). Moreover, dark-grown hypocotyls were utilized to determine the role of GbDIR78 in cell elongation because their growth resulted from cell elongation rather than division [35, 36]. As a result, the seedlings of OE2 and OE3, compared with WT seedlings, showed significantly longer hypocotyls (Fig. 7e and f). As expected, the longer epidermal cells were observed in the hypocotyls of transgenic plants in a microscopic inspection (Fig. 7g). These results indicate that GbDIR78 can promote cell elongation and might have contributed to cotton fiber development.

Fig. 7
figure 7

Functional characterization of GbDIR78 in Arabidopsis. a Expression of GbDIR78 in the transgenic Arabidopsis, tested with qRT-PCR. b Western blot of GbDIR78 in the transgenic Arabidopsis. c-d Arabidopsis with overexpression of GbDIR78, compared with wild type, showed longer leaf trichomes. In the box plots, the median, upper and lower quartiles, and the range of normal values are denoted by the center line, box limits, and whiskers, respectively. n indicates the number of measured trichomes. The significance of difference was analyzed with two tailed t test. e-f Arabidopsis with overexpression of GbDIR78, compared with wild type, showed significantly longer dark-grown hypocotyls. g Microscopic inspection of hypocotyl epidermal cells. i-vi indicate the ends of epidermal cells. The original, unprocessed images were provided as Additional file 9

Full size image

Discussion

Type b/d group expanded considerably and evolved rapidly in cotton

Gene duplication events (tandem, segmental/whole-genome or by transposition) have provided raw evolution materials and meanwhile built up various types of gene families. Among them, tandem and segmental duplications (from unequal crossing-over and infrequent polyploidy, respectively) are fully thought out in the evolution of plant gene families [37, 38]. In the present study, the expansion of DIR-b/d was mainly due to tandem duplications (Fig. 2 and Table 1). As a result, a number of gene clusters were generated, and the chromosomes At01, At04, At11, Dt01, Dt04 and Dt11 contained only DIR-b/d genes (Additional file 2: Figure S2). Interestingly, the heterogeneous gene clusters including DIR-b/d-II and DIR-b/d-III members were observed on chromosomes At01 and Dt01, which provided clues about the initial generation of DIR-b/d-III. DIR-b/d genes accounted for 75.7% in G. barbadense and 76.6% in G. hirsutum, while 34.3, 20.4, 50.0 and 56.8% in spruce, rice, pepper and flax, respectively [15, 17, 19, 21]. Also, as shown in Fig. 3b, the proportion of DIR-b/d genes in cotton was much larger than that in Vitis vinifera, Glycine max, Arabidopsis thaliana and Theobroma cacao. All these results showed a Gossypium-specific expansion of DIR-b/d. Given the rare segmental duplication events in plant genomes, tandem duplication has been proposed as a proper mechanism to cope with rapidly changing environments [39, 40]. Therefore, the rapid expansion of DIR-b/d might be a plant adaptive evolution against biotic and abiotic stresses. For example, a cluster of high-density genes located on chromosome At04 was involved in gossypol biosynthesis (Additional file 2: Figure S2) and might have contributed to plant defense responses against pathogens and pests. Moreover, tandem duplication acts different contribution across species; tandemly duplicated DIR genes are abundant in Medicago truncatula and Oryza sativa but scarce in Capsicum annuum [15, 19, 20]. To explore why tandem duplications promoted the rapid expansion of DIR-b/d, we compared the strength of selection acting on tandemly duplicated genes (Additional file 3: Figure S3c and S3d). Compared with the genes in DIR-a and DIR-e, tandemly duplicated genes in DIR-b/d, especially DIR-b/d-III, showed larger Ka/Ks values, which meant weaker purifying selection and greater evolutionary rates. In other words, the relaxed selective constraints might have accelerated neofunctionalization corresponding to the occurrence of “gossypol clade”. Moreover, this may be one reason for the rapid expansion of cotton DIR-b/d subfamily. Considering that the calculated Ka/Ks values were averaged over sites and time, positive selection might have worked at individual sites or in a short period, which benefitted the retention of gene duplicates. In brief, perhaps to cope with environmental challenges, the DIR-b/d clade expanded considerably and evolved rapidly in allotetraploid cotton. The tandemly arrayed DIR genes should also be candidate resistance resources in breeding programs.

DIRs may substantially affect cotton fiber development

Lignin, deposited mostly in the secondary cell walls of vascular plants, contributes to water transport, mechanical support and plant stress responses. Besides, the deposition of lignin in cell walls can repress cell growth due to the decreased extensibility. In cotton fibers, lignin has been neglected for the low concentrations. However, in recent years, studies suggest that lignin-like phenolics may substantially affect cotton fiber quality [41,42,43]. Given the involvement of DIR genes in lignin biosynthesis, we analyzed their expression patterns during cotton fiber development. A DIR-b/d-II “SCW clade” was observed in G. hirsutum, consisting of GhDIR27, GhDIR28, GhDIR75 and GhDIR76 (Fig. 5b). Being highly expressed during secondary wall thickening, they might affect lignin deposition in cotton fibers. After analyzing QTLs reported for fiber quality traits, GhDIR27 and GhDIR28 fell in qFS-c4–1, a stable QTL across multiple environments controlling fiber strength [44]. Also, two other QTLs for fiber strength (qFS-C4–3 and qFS04.1) and one QTL controlling fiber micronaire (qFM-Chr4–3) were detected at almost the same region [45,46,47]. Interestingly, GhDIR27 and GhDIR28 also fell in qFL04.1, a QTL conferring fiber length [48]. Thus, it is reasonable to speculate that this clade might regulate lignin biosynthesis and affect fiber development. Similarly, “SCW clade” was also observed in G. barbadense (Fig. 5a). However, GbDIR27 and GbDIR70 (orthologous to GhDIR28 and GhDIR75, respectively) showed quite low expression levels, which might explain in part different fiber properties between the two cotton species. DIR-a genes are widely considered to mediate lignan biosynthesis (Additional file 8: Table S6). In particular, a soybean DIR-a protein GmPdh1 was inferred to affect the pattern of lignin deposition by considering its expression patterns and its promotion to pod dehiscence [16]. It reminds us of that the loss-of-function mutation of AtPrR1 (pinoresinol reductase) results in alterations in lignin levels, lignin structure and tissue-specific lignin distribution [49]; there may be an association between lignan biosynthesis and lignin deposition. In the present study, two DIR-a genes GhDIR12 and GhDIR36 broadly similar to GmPdh1 were highly expressed during secondary cell wall thickening (Fig. 5b). However, their orthologous genes (GbDIR13 and GbDIR35, respectively) exhibited little expression in cotton fibers (Fig. 5a). It is interesting to investigate whether GhDIR12 and GhDIR36 can negatively regulate fiber quality by enhancing lignin biosynthesis. Unlike the above-mentioned genes, GhDIR35 was preferentially expressed during fiber elongation. It belonged to the DIR-b/d-I clade and fell in qFL08.1, a stable QTL for fiber length [50]. GbDIR78, highly homologous to GhDIR35, showed a higher transcript level. Moreover, the overexpression of GbDIR78 in Arabidopsis plants can promote cell elongation (Fig. 7). Therefore, GbDIR78 and GhDIR35 may play an important role in cotton fiber elongation, and their differential expression might have contributed to the different fiber properties.

GbDIR78 promotes cell elongation possibly by regulating phenylpropanoid metabolism

GbDIR78 can promote cell elongation in Arabidopsis plants, but the mechanisms need to be discussed. Being preferentially expressed during cotton fiber elongation, GbDIR78 is not likely able to participate in lignin biosynthesis. A soybean gene GmDIR22 can effectively direct lignan biosynthesis in vitro and in vivo [8]. GbDIR78 was quite close to GmDIR22 in phylogenetic tree (Fig. 2c), implying that GbDIR78 may also be involved in lignan biosynthesis. Moreover, when transiently expressed in onion epidermal cells, GbDIR78 entered the secretory pathway and was mainly retained in the plasma membrane (Additional file 7: Figure S7), which is partly similar to the subcellular localization of GmDIR22. However, DIR proteins are targeted to the cell wall when involved in lignin biosynthesis [9, 10]. Thus, we reasonably speculate that GbDIR78 participates in lignan biosynthesis. Slightly confusingly, the reported cotton GhDIR1 gene shares close evolutional relationships with GbDIR78, but the overexpression of GhDIR1 in cotton can enhance lignification [11]. This could be explained in terms of the association between lignan and lignin biosynthesis [49].

Apoplast ROS (reactive oxygen species) signaling is crucial for cell elongation [51], but at high concentrations ROS become toxic, causing cell wall stiffening [52]. The cell walls of Arabidopsis plants overexpressing GbDIR78 may be at moderate ROS concentrations, because some (neo)lignans can act against oxidative damage [53]. Given that lignans compete with flavonoids for phenylalanine precursors [54, 55], the metabolic flux towards lignans can result in a reduction of flavonoid biosynthesis. Flavonoids (especially flavonols) have been shown to inhibit polar auxin transport [56]. Thus, in GbDIR78-overexpressed Arabidopsis plants, auxin transport (in an apical-basal axis) may be elevated compared with WT plants. To sum up, the longer trichomes and hypocotyls in the transgenic Arabidopsis plants might be due to moderate ROS levels and higher auxin accumulation. In cotton fibers, appropriate ROS levels are important for cell elongation [57, 58]. Also, some flavonoids play a negative impact on cotton fiber development [59]. Thus, the metabolic flux from flavonoids into lignans should be a novel alternative way to improve cotton fiber quality.

Conclusions

In summary, we performed a genome-wide analysis of DIR gene family in G. barbadense and G. hirsutum. Our study clearly demonstrates how segmental and tandem duplications contribute to the expansion of cotton DIR gene family and highlights a Gossypium-specific clade involved in atropselective synthesis of gossypol. We also suggest that DIR genes can not only confer Verticillium wilt resistance but also affect cotton fiber development. In addition, the fact that GbDIR78 can promote cell elongation in Arabidopsis plants paves an alternative way to improve cotton fiber properties. Our results provide useful insights into the evolutionary history, expression patterns, transcriptional regulation, and functional analysis of Gossypium DIR genes.

Methods

Plant materials and growth conditions

G. barbadense cv. Pima90–53 [60] and Hai7124 [61], with superior fiber quality, and G. hirsutum cv. HY405 and ND13, with moderate fiber quality, were grown at an experimental field in Baoding (38°45′N, 115°29′E) during the growing season (late April to late October). Field management followed routine farming methods. G. hirsutum cultivars with different resistance to V. dahliae infection used in this study are as follows: a resistant cultivar ND601 [62], four tolerant cultivars (AusSiV2, Xinmian33B, Nongdamian7 and Nongdamian8), two susceptible cultivars (Handan333 and Xiangmian18). The Verticillium wilt resistance was assessed on the basis of observations at a disease nursery over several years. In V. dahliae-responsive expression experiments, the seedlings of these cultivars were grown in 50% Hoagland’s solution under environmental conditions of 28 °C/25 °C (day/night), 16-h photoperiod, and 80% relative humidity. The solution was changed every four days in order to ensure the healthy growth of seedlings. Four-week-old cotton seedlings were infected with V. dahliae strain Linxi2–1 as described by Wang et al. [63]. Most of the above-mentioned cultivars were collected and preserved, with the appropriate permissions, by the National Medium-term Gene Bank of Cotton in China, including Pima90–53 (M210080, introduced from USA), Hai7124 (M210054; Jiangsu, China), AusSiV2 (M131662, introduced from Australia), Xinmian33B (M112566, introduced from USA), Nongdamian7 (M110598; Hebei, China), Nongdamian8 (M110599; Hebei, China), Handan333 (M112751; Hebei, China) and Xiangmian18 (M114752; Hunan, China). The other three cultivars HY405, ND13 and ND601 were collected, from Hebei Province in China, by Hebei Agricultural University, and their accession numbers were G100937, G100728 and G100729, respectively. All necessary permissions for planting and investigating these cultivars were obtained from Hebei Agricultural University and the National Medium-term Gene Bank of Cotton in China, and the collection and research of these cultivars have complied with the Convention on the Trade in Endangered Species of Wild Fauna and Flora. A. thaliana Columbia wild-type plants (Col-0) and transgenic plants were cultivated in pots containing sterile vermiculite in a greenhouse (22 °C, 16-h photoperiod, and 70% relative humidity). Hoagland’s nutrient solution was added weekly.

Sequence sources

The genomic data of G. raimondii (JGI_221_v2.1) [64], G. arboretum (CRI_v2) [65], G. hirsutum (ZJU_TM-1_V2.1) and G. barbadense (ZJU_Hai7124_V1.1) [61] were downloaded from CottonFGD [66]. The V. vinifera (12X) [27] and T. cacao (Criollo_cocoa_genome_V2) [29] genomes were downloaded from Ensembl Plants [67], and the G. max (Wm82.a2.v1) [28] genome was downloaded from Phytozome [68]. The DIR genes of above-mentioned species were identified in this study. The DIR sequences of A. thaliana [23], L. usitatissimum [21], O. sativa [19] and Picea [17] were retrieved from TAIR (http://www.arabidopsis.org/), Phytozome (https://phytozome.jgi.doe.gov/pz/portal.html), Rice Genome Annotation Project (http://www.rice.plantbiology.msu.edu/), and NCBI (http://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/), respectively.

Identification and characterization of DIR proteins

The sequence alignments of DIR gene family (PF03018) were downloaded from Pfam [69]. The candidate DIR proteins were identified using HMMER 3.0 [70] and confirmed with the Batch CD-Search service [71]. N-glycosylation sites were identified using NetNglyc 1.0 (http://www.cbs.dtu.dk/services/NetNGlyc/). Signal peptide prediction was performed with SignalP 5.0 [72]. YLoc served for predicting subcellular localization [73]. The protein length, molecular weight and isoelectric point were investigated by a native Perl script.

Gene structure, chromosomal distribution, conserved motifs and phylogenetic analysis

The exon-intron information and gene location information were fetched from gene annotation files and subsequently visualized using TBtools [74]. MEME was employed to search conserved motifs, with a limit of 15 motifs and other default parameters [75]. The phylogenetic trees were constructed by MEGA 7.0 using the neighbor-joining (NJ) method with 1000 bootstrap replications [76] and then displayed with the online iTOL tool [77].

Gene duplication and the calculation of Ka, Ks and Ka/Ks values

Segmental and tandem duplications were detected by MCScanX with default parameters [78]. The duplication events were fetched and then displayed with TBtools [74]. Homologous genes between At- and Dt-subgenome were determined using the bidirectional best hit method in BLAST. We used ParaAT [79] to construct protein-coding DNA alignments. Then the paired sequences were used to calculate Ka, Ks and Ka/Ks values using KaKs_Calculator with the LPB method [80].

RNA-seq data

A Verticillium wilt-resistant G. hirsutum cultivar ND601 and a highly aggressive defoliating V. dahliae strain Linxi2–1 were used in V. dahliae-responsive expression analysis. The roots of four-week-old seedlings infected by V. dahliae were collected independently at 2, 6, 12, 24 and 48 h post-inoculation (hpi), while the roots of seedlings inoculated with distilled water, as control, were also collected at the corresponding time points. For each time point, two biological replicates were generated. Frozen roots were ground mechanically to a fine powder in liquid nitrogen. Then total RNA was isolated using an RNAprep pure Plant Kit (TIANGEN, Beijing, China), following the manufacturer’s instructions. For RNA-seq, strand-specific cDNA libraries were prepared at the Novogene Bioinformatics Institute, Beijing, China. An Illumina Hiseq 4000 platform was then used for sequencing, and 150 bp paired-end reads were generated. Then gene expression levels were calculated using FPKM (Fragments Per Kilobase of exon model per Million mapped reads). Finally, log2(1 + FPKM) values after averaging two replicates were displayed. Similarly, four Verticillium wilt-tolerant G. hirsutum cultivars AusSiV2, Xinmian33B, Nongdamian7 and Nongdamian8 (termed as T1, T2, T3 and T4, respectively, during the current study) and two susceptible cultivars Handan333 and Xiangmian18 (termed as S1 and S2, respectively) were used for expression experiments. RNA-seq samples were generated at 12 hpi in the same way described above. To highlight expression changes, we showed fold-change values with log2 transformation. The fold change is the ratio of 1 + FPKM (treatment) to 1 + FPKM (control). In addition, G. barbadense cultivars Pima90–53 and Hai7124, and G. hirsutum cultivars HY405 and ND13 were employed in fiber development-related expression analysis. For each cultivar, cotton bolls were harvested independently at 0, 5, 10, 15, 20, 25 and 30 days post-anthesis (DPA). For each time point, samples from multiple cotton bolls were collected and pooled to minimize variations. Finally, 28 libraries (generated from ovules of 0 DPA, and fibers of 5, 10, 15, 20, 25 and 30 DPA) were used to produce 125 bp paired-end reads on a HiSeq 2500 platform. RPKM (Reads Per Kilobase of exon model per Million mapped reads) was applied to estimate expression levels, and we finally showed log2(1 + RPKM) values.

Promoter analysis

The promoter sequences (2000-bp upstream of ATG) of DIR genes were extracted from genomes of G. barbadense and G. hirsutum. According to Gene Ontology annotations, a total of 266 JASPAR matrices (transcription factor binding profiles) were selected and then fetched, including hormone-activated signaling pathway (ABA, IAA, ETH, GA, JA and SA), response to abiotic stresses (drought, salt and temperature), response to biotic stresses, and plant cell wall development [81]. For each JASPAR matrix, FIMO was used to scan promoter sequences for matches with a strict threshold of p-value <1E-5 [82]. The potential transcription factor binding sites (TFBS) were counted according to their classification information. Finally, we showed the results using iTOL [77].

Functional analysis of GbDIR78

The coding sequence of GbDIR78 (from Pima90–53) was amplified and inserted into the Gateway pDONR207 vector to form an entry clone. Then the coding sequence was recombined into the Gateway pGWB414 vector to generate an overexpression (OE) construct under the control of CaMV 35S promoter. The OE construct was transformed into A. thaliana (Col-0) through Agrobacterium-mediated plant transformation. Transgenic plants were identified using 50 μg/ml kanamycin screening (1/2 MS medium) and PCR detection. Two transgenic T3 lines OE2 and OE3 were generated, and the stable expression of GbDIR78 was confirmed by Real-time PCR and Western blot (HA-Tag). Decolorized by ethanol, the fifth rosette leaves of four-week-old wild type (WT) and OE plants were photographed with an Olympus BX51 microscope (Tokyo, Japan), and the longest branch was measured using the ImageJ software for each of about 150 legible trichomes in each line [83]. To observe dark-grown hypocotyls, the seeds of A. thaliana were sterilized and then grown in vertical plates (1/2 MS medium, 0.9% agar and pH 5.8) under the conditions of 22 °C and continuous darkness. Five-day-old WT and OE seedlings were harvested and then photographed with a professional Epson V800 scanner (Nagano, Japan). Their hypocotyls were subsequently measured using the ImageJ software [83]. To observe the epidermal cells of the hypocotyls, the seedlings used above were stained with propidium iodide (PI) and then photographed using an Olympus FV10i laser scanning microscope (Tokyo, Japan). Two-tailed t test (p-value) was conducted using the GraphPad Prism software (San Diego, CA, USA). To examine the subcellular localization of GbDIR78, its coding sequence was recombined into the Gateway pEarleyGate103 vector, which can express target protein with a C-terminal GFP fusion. A plasmid expressing GFP alone served as a control. GbDIR78-GFP fusion protein and GFP were transiently expressed in onion epidermal cells by a Bio-Rad PDS-1000/He system (Hercules, CA, USA). Then the transformed cells were monitored with an Olympus BX51 microscope (Tokyo, Japan) after incubating on MS agar medium for 24 h (22 °C, continuous darkness).

Availability of data and materials

The data that support the findings of this study are included in this published article and its additional files. The RNA-seq data are available in the Genome Sequence Archive (https://bigd.big.ac.cn/gsa; accession number: CRA003811, CRA003789 and CRA002927) or from the corresponding author on reasonable request.

Abbreviations

MYA:

Million years ago

Ks:

Synonymous substitutions per synonymous site

Ka:

Nonsynonymous substitutions per nonsynonymous site

WGD:

Whole-genome duplication

TFBS:

Transcription factor binding sites

ABA:

Abscisic acid

IAA:

Indole-3-acetic acid

ETH:

Ethylene

GA:

Gibberellic acid

JA:

Jasmonic acid

SA:

Salicylic acid

WT:

Wild type

OE:

Overexpression

ROS:

Reactive oxygen species

hpi:

hours post-inoculation

DPA:

Days post-anthesis

QTL:

Quantitative trait locus

References

  1. Wendel JF. New World tetraploid cottons contain Old World cytoplasm. Proc Natl Acad Sci U S A. 1989;86:4132–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Grover CE, Gallagher JP, Jareczek JJ, Page JT, Udall JA, Gore MA, Wendel JF. Re-evaluating the phylogeny of allopolyploid Gossypium L. Mol Phylogenet Evol. 2015;92:45–52.

    Article  PubMed  Google Scholar 

  3. Davin LB, Wang H, Crowell AL, Bedgar DL, Martin DM, Sarkanen S, Lewis NG. Stereoselective bimolecular phenoxy radical coupling by an auxiliary (dirigent) protein without an active center. Science. 1997;275(5298):362–7.

    Article  CAS  PubMed  Google Scholar 

  4. Kim MK, Jeon JH, Fujita M, Davin LB, Lewis NG. The western red cedar (Thuja plicata) 8-8′ DIRIGENT family displays diverse expression patterns and conserved monolignol coupling specificity. Plant Mol Biol. 2002;49(2):199–214.

    Article  CAS  PubMed  Google Scholar 

  5. Kim KW, Moinuddin SG, Atwell KM, Costa MA, Davin LB, Lewis NG. Opposite stereoselectivities of dirigent proteins in Arabidopsis and schizandra species. J Biol Chem. 2012;287(41):33957–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Seneviratne HK, Dalisay DS, Kim KW, Moinuddin SG, Yang H, Hartshorn CM, Davin LB, Lewis NG. Non-host disease resistance response in pea (Pisum sativum) pods: biochemical function of DRR206 and phytoalexin pathway localization. Phytochemistry. 2015;113:140–8.

    Article  CAS  PubMed  Google Scholar 

  7. Dalisay DS, Kim KW, Lee C, Yang H, Rübel O, Bowen BP, Davin LB, Lewis NG. Dirigent protein-mediated lignan and cyanogenic glucoside formation in flax seed: integrated omics and maldi mass spectrometry imaging. J Nat Prod. 2015;78(6):1231–42.

    Article  CAS  PubMed  Google Scholar 

  8. Li N, Zhao M, Liu T, Dong L, Cheng Q, Wu J, Wang L, Chen X, Zhang C, Lu W, et al. A novel soybean dirigent gene GmDIR22 contributes to promotion of lignan biosynthesis and enhances resistance to phytophthora sojae. Front Plant Sci. 2017;8:1185.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Burlat V, Kwon M, Davin LB, Lewis NG. Dirigent proteins and dirigent sites in lignifying tissues. Phytochemistry. 2001;57(6):883–97.

    Article  CAS  PubMed  Google Scholar 

  10. Hosmani PS, Kamiya T, Danku J, Naseer S, Geldner N, Guerinot ML, Salt DE. Dirigent domain-containing protein is part of the machinery required for formation of the lignin-based Casparian strip in the root. Proc Natl Acad Sci U S A. 2013;110(35):14498–503.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Shi H, Liu Z, Zhu L, Zhang C, Chen Y, Zhou Y, Li F, Li X. Overexpression of cotton (Gossypium hirsutum) dirigent1 gene enhances lignification that blocks the spread of Verticillium dahliae. Acta Biochim Biophys Sin. 2012;44(7):555–64.

    Article  CAS  PubMed  Google Scholar 

  12. Effenberger I, Zhang B, Li L, Wang Q, Liu Y, Klaiber I, Pfannstiel J, Wang Q, Schaller A. Dirigent proteins from cotton (Gossypium sp.) for the atropselective synthesis of gossypol. Angew Chem. 2015;54(49):14660–3.

    Article  CAS  Google Scholar 

  13. Effenberger I, Harport M, Pfannstiel J, Klaiber I, Schaller A. Expression in Pichia pastoris and characterization of two novel dirigent proteins for atropselective formation of gossypol. Appl Microbiol Biotechnol. 2017;101(5):2021–32.

    Article  CAS  PubMed  Google Scholar 

  14. Uchida K, Akashi T, Aoki T. The missing link in leguminous pterocarpan biosynthesis is a dirigent domain-containing protein with isoflavanol dehydratase activity. Plant Cell Physiol. 2017;58(2):398–408.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Khan A, Li R, Sun J, Ma F, Zhang H, Jin J, Ali M, Haq SU, Wang J, Gong Z. Genome-wide analysis of dirigent gene family in pepper (Capsicum annuum L.) and characterization of CaDIR7 in biotic and abiotic stresses. Sci Rep. 2018;8(1):5500.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. Funatsuki H, Suzuki M, Hirose A, Inaba H, Yamada T, Hajika M, Komatsu K, Katayama T, Sayama T, Ishimoto M, et al. Molecular basis of a shattering resistance boosting global dissemination of soybean. Proc Natl Acad Sci U S A. 2014;111(50):17797–802.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Ralph SG, Jancsik S, Bohlmann J. Dirigent proteins in conifer defense II: extended gene discovery, phylogeny, and constitutive and stress-induced gene expression in spruce (Picea spp.). Phytochemistry. 2007;68(14):1975–91.

    Article  CAS  PubMed  Google Scholar 

  18. Thamil Arasan SK, Park JI, Ahmed NU, Jung HJ, Hur Y, Kang KK, Lim YP, Nou IS. Characterization and expression analysis of dirigent family genes related to stresses in Brassica. Plant Physiol Biochem. 2013;67:144–53.

    Article  CAS  PubMed  Google Scholar 

  19. Liao Y, Liu S, Jiang Y, Hu C, Zhang X, Cao X, Xu Z, Gao X, Li L, Zhu J, et al. Genome-wide analysis and environmental response profiling of dirigent family genes in rice (Oryza sativa). Genes Genomics. 2016;39(1):47–62.

    Article  CAS  Google Scholar 

  20. Song M, Peng X. Genome-wide identification and characterization of DIR genes in Medicago truncatula. Biochem Genet. 2019;57(4):487–506.

    Article  CAS  PubMed  Google Scholar 

  21. Corbin C, Drouet S, Markulin L, Auguin D, Lainé É, Davin LB, Cort JR, Lewis NG, Hano C. A genome-wide analysis of the flax (Linum usitatissimum L.) dirigent protein family: from gene identification and evolution to differential regulation. Plant Mol Biol. 2018;97:73–101.

    Article  CAS  PubMed  Google Scholar 

  22. Cheng X, Su X, Muhammad A, Li M, Zhang J, Sun Y, Li G, Jin Q, Cai Y, Lin Y. Molecular characterization, evolution, and expression profiling of the dirigent (DIR) family genes in Chinese white pear (Pyrus bretschneideri). Front Genet. 2018;9:136.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Paniagua C, Bilkova A, Jackson P, Dabravolski S, Riber W, Didi V, Houser J, Gigli-Bisceglia N, Wimmerova M, Budinska E, et al. Dirigent proteins in plants: modulating cell wall metabolism during abiotic and biotic stress exposure. J Exp Bot. 2017;68(13):3287–301.

    Article  CAS  PubMed  Google Scholar 

  24. Wang K, Wang Z, Li F, Ye W, Wang J, Song G, Yue Z, Cong L, Shang H, Zhu S, et al. The draft genome of a diploid cotton Gossypium raimondii. Nat Genet. 2012;44(10):1098–103.

    Article  CAS  PubMed  Google Scholar 

  25. Zhang T, Hu Y, Jiang W, Fang L, Guan X, Chen J, Zhang J, Saski CA, Scheffler BE, Stelly DM, et al. Sequencing of allotetraploid cotton (Gossypium hirsutum L. acc. TM-1) provides a resource for fiber improvement. Nat Biotechnol. 2015;33(5):531–7.

    Article  CAS  PubMed  Google Scholar 

  26. The Arabidopsis Genome Initiative. Analysis of the genome sequence of the flowering plant Arabidopsis thaliana. Nature. 2000;408:796–815.

    Article  Google Scholar 

  27. Jaillon O, Aury JM, Noel B, Policriti A, Clepet C, Casagrande A, Choisne N, Aubourg S, Vitulo N, Jubin C, et al. The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla. Nature. 2007;449(7161):463–7.

    Article  CAS  PubMed  Google Scholar 

  28. Schmutz J, Cannon SB, Schlueter J, Ma J, Mitros T, Nelson W, Hyten DL, Song Q, Thelen JJ, Cheng J, et al. Genome sequence of the palaeopolyploid soybean. Nature. 2010;463(7278):178–83.

    Article  CAS  PubMed  Google Scholar 

  29. Argout X, Salse J, Aury JM, Guiltinan MJ, Droc G, Gouzy J, Allegre M, Chaparro C, Legavre T, Maximova SN, et al. The genome of Theobroma cacao. Nat Genet. 2011;43(2):101–8.

    Article  CAS  PubMed  Google Scholar 

  30. Yang Z, Ge X, Yang Z, Qin W, Sun G, Wang Z, Li Z, Liu J, Wu J, Wang Y, et al. Extensive intraspecific gene order and gene structural variations in upland cotton cultivars. Nat Commun. 2019;10(1):2989.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  31. Serna L, Martin C. Trichomes: different regulatory networks lead to convergent structures. Trends Plant Sci. 2006;11(6):274–80.

    Article  CAS  PubMed  Google Scholar 

  32. Guan X, Yu N, Shangguan X, Wang S, Lu S, Wang L, Chen X. Arabidopsis trichome research sheds light on cotton fiber development mechanisms. Chin Sci Bull. 2007;52(13):1734–41.

    Article  CAS  Google Scholar 

  33. Guan X, Pang M, Nah G, Shi X, Ye W, Stelly DM, Chen ZJ. miR828 and miR858 regulate homoeologous MYB2 gene functions in Arabidopsis trichome and cotton fibre development. Nat Commun. 2014;5:3050.

    Article  PubMed  CAS  Google Scholar 

  34. Ma Z, He S, Wang X, Sun J, Zhang Y, Zhang G, Wu L, Li Z, Liu Z, Sun G, et al. Resequencing a core collection of upland cotton identifies genomic variation and loci influencing fiber quality and yield. Nat Genet. 2018;50(6):803–13.

    Article  CAS  PubMed  Google Scholar 

  35. Gendreau E, Traas J, Desnos T, Grandjean O, Caboche M, Hofte H. Cellular basis of hypocotyl growth in Arabidopsis thaliana. Plant Physiol. 1997;114:295–305.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Boron AK, Vissenberg K. The Arabidopsis thaliana hypocotyl, a model to identify and study control mechanisms of cellular expansion. Plant Cell Rep. 2014;33(5):697–706.

    Article  CAS  PubMed  Google Scholar 

  37. Babushok DV, Ostertag EM, Kazazian HH Jr. Current topics in genome evolution: molecular mechanisms of new gene formation. Cell Mol Life Sci. 2007;64(5):542–54.

    Article  CAS  PubMed  Google Scholar 

  38. Cannon SB, Mitra A, Baumgarten A, Young ND, May G. The roles of segmental and tandem gene duplication in the evolution of large gene families in Arabidopsis thaliana. BMC Plant Biol. 2004;4(1):10.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Rizzon C, Ponger L, Gaut BS. Striking similarities in the genomic distribution of tandemly arrayed genes in Arabidopsis and rice. PLoS Comput Biol. 2006;2(9):e115.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. Hanada K, Zou C, Lehti-Shiu MD, Shinozaki K, Shiu SH. Importance of lineage-specific expansion of plant tandem duplicates in the adaptive response to environmental stimuli. Plant Physiol. 2008;148(2):993–1003.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Fan L, Shi W, Hu W, Hao X, Wang D, Yuan H, Yan H. Molecular and biochemical evidence for phenylpropanoid synthesis and presence of wall-linked phenolics in cotton fibers. J Integr Plant Biol. 2009;51(7):626–37.

    Article  CAS  PubMed  Google Scholar 

  42. Han L, Li Y, Wang H, Wu X, Li C, Luo M, Wu S, Kong Z, Pei Y, Jiao G, et al. The dual functions of WLIM1a in cell elongation and secondary wall formation in developing cotton fibers. Plant Cell. 2013;25(11):4421–38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Gao Z, Sun W, Wang J, Zhao C, Zuo K. GhbHLH18 negatively regulates fiber strength and length by enhancing lignin biosynthesis in cotton fibers. Plant Sci. 2019;286:7–16.

    Article  CAS  PubMed  Google Scholar 

  44. Zhang Z, Ge Q, Liu A, Li J, Gong J, Shang H, Shi Y, Chen T, Wang Y, Palanga KK, et al. Construction of a high-density genetic map and its application to QTL identification for fiber strength in upland cotton. Crop Sci. 2017;57(2):774–88.

    Article  CAS  Google Scholar 

  45. Jamshed M, Jia F, Gong J, Palanga KK, Shi Y, Li J, Shang H, Liu A, Chen T, Zhang Z, et al. Identification of stable quantitative trait loci (QTLs) for fiber quality traits across multiple environments in Gossypium hirsutum recombinant inbred line population. BMC Genomics. 2016;17:197.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  46. Tang S, Teng Z, Zhai T, Fang X, Liu F, Liu D, Zhang J, Liu D, Wang S, Zhang K. Construction of genetic map and QTL analysis of fiber quality traits for upland cotton (Gossypium hirsutum L.). Euphytica. 2015;201(2):195–213.

    Article  CAS  Google Scholar 

  47. Shang L, Wang Y, Wang X, Liu F, Abduweli A, Cai S, Li Y, Ma L, Wang K, Hua J. Genetic analysis and QTL detection on fiber traits using two recombinant inbred lines and their backcross populations in upland cotton. G3 (Bethesda). 2016;6(9):2717–24.

    Article  Google Scholar 

  48. Tan Z, Fang X, Tang S, Zhang J, Liu D, Teng Z, Li L, Ni H, Zheng F, Liu D, et al. Genetic map and QTL controlling fiber quality traits in upland cotton (Gossypium hirsutum L.). Euphytica. 2014;203(3):615–28.

    Article  Google Scholar 

  49. Zhao Q, Zeng Y, Yin Y, Pu Y, Jackson LA, Engle NL, Martin MZ, Tschaplinski TJ, Ding SY, Ragauskas AJ, et al. Pinoresinol reductase 1 impacts lignin distribution during secondary cell wall biosynthesis in Arabidopsis. Phytochemistry. 2015;112:170–8.

    Article  CAS  PubMed  Google Scholar 

  50. Tan Z, Zhang Z, Sun X, Li Q, Sun Y, Yang P, Wang W, Liu X, Chen C, Liu D, et al. Genetic map construction and fiber quality QTL mapping using the CottonSNP80K array in upland cotton. Front Plant Sci. 2018;9:225.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Waszczak C, Carmody M, Kangasjarvi J. Reactive oxygen species in plant signaling. Annu Rev Plant Biol. 2018;69:209–36.

    Article  CAS  PubMed  Google Scholar 

  52. Mnich E, Bjarnholt N, Eudes A, Harholt J, Holland C, Jorgensen B, Larsen FH, Liu M, Manat R, Meyer AS, et al. Phenolic cross-links: building and de-constructing the plant cell wall. Nat Prod Rep. 2020;37:919–61.

    Article  CAS  PubMed  Google Scholar 

  53. Niculaes C, Morreel K, Kim H, Lu F, McKee LS, Ivens B, Haustraete J, Vanholme B, Rycke RD, Hertzberg M, et al. Phenylcoumaran benzylic ether reductase prevents accumulation of compounds formed under oxidative conditions in poplar xylem. Plant Cell. 2014;26(9):3775–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Besseau S, Hoffmann L, Geoffroy P, Lapierre C, Pollet B, Legrand M. Flavonoid accumulation in Arabidopsis repressed in lignin synthesis affects auxin transport and plant growth. Plant Cell. 2007;19(1):148–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Gill US, Uppalapati SR, Gallego-Giraldo L, Ishiga Y, Dixon RA, Mysore KS. Metabolic flux towards the (iso)flavonoid pathway in lignin modified alfalfa lines induces resistance against Fusarium oxysporum f. sp. medicaginis. Plant Cell Environ. 2018;41(9):1997–2007.

    CAS  PubMed  Google Scholar 

  56. Peer WA, Murphy AS. Flavonoids and auxin transport: modulators or regulators? Trends Plant Sci. 2007;12(12):556–63.

    Article  CAS  PubMed  Google Scholar 

  57. Hovav R, Udall JA, Chaudhary B, Hovav E, Flagel L, Hu G, Wendel JF. The evolution of spinnable cotton fiber entailed prolonged development and a novel metabolism. PLoS Genet. 2008;4(2):e25.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  58. Tang W, Tu L, Yang X, Tan J, Deng F, Hao J, Guo K, Lindsey K, Zhang X. The calcium sensor GhCaM7 promotes cotton fiber elongation by modulating reactive oxygen species (ROS) production. New Phytol. 2014;202(2):509–20.

    Article  CAS  PubMed  Google Scholar 

  59. Tan J, Tu L, Deng F, Hu H, Nie Y, Zhang X. A genetic and metabolic analysis revealed that cotton fiber cell development was retarded by flavonoid naringenin. Plant Physiol. 2013;162(1):86–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Wang X, Ma J, Wang W, Zheng Y, Zhang G, Liu C, Ma Z. Construction and characterization of the first bacterial artificial chromosome library for the cotton species Gossypium barbadense L. Genome. 2006;49(11):1393–8.

    Article  CAS  PubMed  Google Scholar 

  61. Hu Y, Chen J, Fang L, Zhang Z, Ma W, Niu Y, Ju L, Deng J, Zhao T, Lian J, et al. Gossypium barbadense and Gossypium hirsutum genomes provide insights into the origin and evolution of allotetraploid cotton. Nat Genet. 2019;51(4):739–48.

    Article  CAS  PubMed  Google Scholar 

  62. Yang J, Zhang Y, Wang X, Wang W, Li Z, Wu J, Wang G, Wu L, Zhang G, Ma Z. HyPRP1 performs a role in negatively regulating cotton resistance to V. dahliae via the thickening of cell walls and ROS accumulation. BMC Plant Biol. 2018;18(1):339.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Wang F, Ma Y, Yang C, Zhao P, Yao Y, Jian G, Luo Y, Xia G. Proteomic analysis of the sea-island cotton roots infected by wilt pathogen Verticillium dahliae. Proteomics. 2011;11(22):4296–309.

    Article  CAS  PubMed  Google Scholar 

  64. Paterson AH, Wendel JF, Gundlach H, Guo H, Jenkins J, Jin D, Llewellyn D, Showmaker KC, Shu S, Udall J, et al. Repeated polyploidization of Gossypium genomes and the evolution of spinnable cotton fibres. Nature. 2012;492(7429):423–7.

    Article  CAS  PubMed  Google Scholar 

  65. Du X, Huang G, He S, Yang Z, Sun G, Ma X, Li N, Zhang X, Sun J, Liu M, et al. Resequencing of 243 diploid cotton accessions based on an updated a genome identifies the genetic basis of key agronomic traits. Nat Genet. 2018;50(6):796–802.

    Article  CAS  PubMed  Google Scholar 

  66. Zhu T, Liang C, Meng Z, Sun G, Meng Z, Guo S, Zhang R. CottonFGD: an integrated functional genomics database for cotton. BMC Plant Biol. 2017;17(1):101.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  67. Bolser D, Staines DM, Pritchard E, Kersey P. Ensembl plants: integrating tools for visualizing, mining, and analyzing plant genomics data. Methods Mol Biol. 2016;1374:115–40.

    Article  CAS  PubMed  Google Scholar 

  68. Goodstein DM, Shu S, Howson R, Neupane R, Hayes RD, Fazo J, Mitros T, Dirks W, Hellsten U, Putnam N, et al. Phytozome: a comparative platform for green plant genomics. Nucleic Acids Res. 2012;40(D1):D1178–86.

    Article  CAS  PubMed  Google Scholar 

  69. Finn RD, Bateman A, Clements J, Coggill P, Eberhardt RY, Eddy SR, Heger A, Hetherington K, Holm L, Mistry J, et al. Pfam: the protein families database. Nucleic Acids Res. 2014;42(D1):D222–30.

    Article  CAS  PubMed  Google Scholar 

  70. Finn RD, Clements J, Eddy SR. HMMER web server: interactive sequence similarity searching. Nucleic Acids Res. 2011;39(suppl_2):W29–37.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. Lu S, Wang J, Chitsaz F, Derbyshire MK, Geer RC, Gonzales NR, Gwadz M, Hurwitz DI, Marchler GH, Song JS, et al. CDD/SPARCLE: the conserved domain database in 2020. Nucleic Acids Res. 2020;48(D1):D265–8.

    Article  CAS  PubMed  Google Scholar 

  72. Almagro Armenteros JJ, Tsirigos KD, Sonderby CK, Petersen TN, Winther O, Brunak S, von Heijne G, Nielsen H. SignalP 5.0 improves signal peptide predictions using deep neural networks. Nat Biotechnol. 2019;37(4):420–3.

    Article  CAS  PubMed  Google Scholar 

  73. Briesemeister S, Rahnenfuhrer J, Kohlbacher O. YLoc--an interpretable web server for predicting subcellular localization. Nucleic Acids Res. 2010;38(suppl_2):W497–502.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Chen C, Chen H, Zhang Y, Thomas HR, Frank MH, He Y, Xia R. TBtools: an integrative toolkit developed for interactive analyses of big biological data. Mol Plant. 2020;13(8):1194–202.

    Article  CAS  PubMed  Google Scholar 

  75. Bailey TL, Boden M, Buske FA, Frith M, Grant CE, Clementi L, Ren J, Li WW, Noble WS. MEME SUITE: tools for motif discovery and searching. Nucleic Acids Res. 2009;37(suppl_2):W202–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33(7):1870–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Letunic I, Bork P. Interactive tree of life (iTOL) v4: recent updates and new developments. Nucleic Acids Res. 2019;47(W1):W256–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. Wang Y, Tang H, Debarry JD, Tan X, Li J, Wang X, Lee TH, Jin H, Marler B, Guo H, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012;40(7):e49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Zhang Z, Xiao J, Wu J, Zhang H, Liu G, Wang X, Dai L. ParaAT: a parallel tool for constructing multiple protein-coding DNA alignments. Biochem Biophys Res Commun. 2012;419(4):779–81.

    Article  CAS  PubMed  Google Scholar 

  80. Zhang Z, Li J, Zhao X, Wang J, Wong GK, Yu J. KaKs_Calculator: calculating Ka and Ks through model selection and model averaging. Genomics Proteomics Bioinformatics. 2006;4(4):259–63.

    Article  CAS  PubMed  Google Scholar 

  81. Khan A, Fornes O, Stigliani A, Gheorghe M, Castro-Mondragon JA, van der Lee R, Bessy A, Cheneby J, Kulkarni SR, Tan G, et al. JASPAR 2018: update of the open-access database of transcription factor binding profiles and its web framework. Nucleic Acids Res. 2018;46(D1):D260–6.

    Article  CAS  PubMed  Google Scholar 

  82. Grant CE, Bailey TL, Noble WS. FIMO: scanning for occurrences of a given motif. Bioinformatics. 2011;27(7):1017–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Collins TJ. ImageJ for microscopy. Biotechniques. 2007;43:S25–30.

    Article  Google Scholar 

Download references

Acknowledgements

The authors are grateful to worldwide colleagues for releasing cotton genomic data.

Funding

This study was financially supported by the National Major Science and Technology Program (2016ZX08005003–005), the Outstanding Youth Fund of Hebei Province (Grant C2019204365) and the China Agriculture Research System (CARS15–03). The funding bodies played no role in research design, data analysis, and manuscript preparation.

Author information

Author notes

  1. Zhengwen Liu and Xingfen Wang contributed equally to this work.

Authors and Affiliations

  1. State Key Laboratory of North China Crop Improvement and Regulation, North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, 071001, China

    Zhengwen Liu, Xingfen Wang, Zhengwen Sun, Yan Zhang, Chengsheng Meng, Bin Chen, Guoning Wang, Huifeng Ke, Jinhua Wu, Yuanyuan Yan, Liqiang Wu, Zhikun Li, Jun Yang, Guiyin Zhang & Zhiying Ma

Authors
  1. Zhengwen Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xingfen Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhengwen Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Chengsheng Meng
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Bin Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Guoning Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Huifeng Ke
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Jinhua Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Yuanyuan Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Liqiang Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Zhikun Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Jun Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Guiyin Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Zhiying Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

ZM and GZ conceived the project. ZL and XW performed the research and analyzed the data. ZS, YZ, CM and YY contributed to the bioinformatics analysis. BC, GW and JW collected the RNA-seq samples. HK, LW, ZKL and JY helped in growing experimental materials. ZL and XW wrote the manuscript. ZM and GZ revised the manuscript. All authors have read and approved the manuscript.

Corresponding authors

Correspondence to Guiyin Zhang or Zhiying Ma.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: Figure S1

. Phylogenetic relationships, motif analysis and gene structure of GbDIRs (a) and GhDIRs (b). Fifteen distinct motifs were identified with MEME software. Exons and introns are represented by green boxes and black lines, respectively. The conserved domain regions are colored in yellow

Additional file 2: Figure S2

. Chromosomal distribution of GbDIRs (a) and GhDIRs (b). Tandemly duplicated genes are colored in red and linked by red lines

Additional file 3: Figure S3

. Ka/Ks values for segmental duplications among GbDIRs (a) and GhDIRs (b), and for tandem duplications among GbDIRs (c) and GhDIRs (d). Tandemly duplicated DIR-b/d-III genes are colored in red, while DIR-a and DIR-e genes are colored in blue

Additional file 4: Figure S4

. Expression patterns of GhDIRs from Verticillium wilt tolerant and susceptible cultivars (a-f). Red boxes indicate up-regulated genes after inoculation with V. dahliae (compared with the CK group), while blue boxes indicate down-regulated genes. The figures in boxes represent log2(fold-change) values corresponding to color gradients. (g) The disease index at 20 dpi. T and S represent tolerant and susceptible G. hirsutum cultivars, respectively. The original FPKM values were provided as Additional file 8: Table S12

Additional file 5: Figure S5

. Identification of TFBS in the promoter regions of GbDIRs

Additional file 6: Figure S6

. The potential mechanisms causing the differential expression. (a) GhDIR36 carried more IAA-responsive TFBS than GbDIR35. (b) Although GbDIR13 and GhDIR12 carried similar TFBS, the trans-acting TFs exhibited higher expression levels in G. hirsutum than in G. barbadense

Additional file 7: Figure S7

. Subcellular localization of GFP alone or GbDIR78-GFP fusion protein in onion epidermal cells

Additional file 8: Table S1

. Characteristics of 107 GbDIR proteins. Table S2. Characteristics of 107 GhDIR proteins. Table S3. List of DIR genes used in the phylogenetic tree. Table S4. Ka, Ks and Ka/Ks values calculated for homologous DIR gene pairs in Gossypium barbadense. Table S5. Ka, Ks and Ka/Ks values calculated for homologous DIR gene pairs in Gossypium hirsutum. Table S6. List of DIRs with biochemical and/or physiological functions in literatures. Table S7. List of DIR genes identified in Gossypium arboreum, Gossypium raimondii, Glycine max, Theobroma cacao and Vitis vinifera. Table S8. JASPAR matrices used to identify potential TFBS. Table S9. List of motif occurrences in Gossypium barbadense. Table S10. List of motif occurrences in Gossypium hirsutum. Table S11. FPKM values of DIR genes in response to Verticillium dahliae and water in Gossypium hirsutum cultivar ND601. Table S12. FPKM values of DIR genes in response to Verticillium dahliae and water in six Gossypium hirsutum cultivars. Table S13. RPKM values of DIR genes during cotton fiber development in Gossypium barbadense. Table S14. RPKM values of DIR genes during cotton fiber development in Gossypium hirsutum

Additional file 9.

The original, unprocessed images

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, Z., Wang, X., Sun, Z. et al. Evolution, expression and functional analysis of cultivated allotetraploid cotton DIR genes. BMC Plant Biol 21, 89 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s12870-021-02859-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12870-021-02859-0

Keywords

BMC Plant Biology

ISSN: 1471-2229

Contact us