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Table 1 Fold change values of soybean genes affected by R. solani AG1-IA infection and involved in primary metabolism

From: An integrated RNAseq-1H NMR metabolomics approach to understand soybean primary metabolism regulation in response to Rhizoctonia foliar blight disease

Pathway

Gene ID

Gene annotationa

RNAseq Fold Changeb

qRT-PCR Fold Changec

(P value)

   

(P value)

12 h

24 h

Starch metabolism

GLYMA08G45210

Alpha-glucan phosphorylase (AGP)

0.305 (0.0196)

0.793 (0.3489)

0.574 (0.0216)

GLYMA04G01950

Alpha-amylase (AMY)

5.898 (0.0052)

1.059 (0.6037)

2.190 (<0.0001)

GLYMA15G10480

Beta-amylase (BAMY)

2.800 (0.0200)

1.523 (0.0854)

1.509 (0.0249)

Carbohydrate metabolism

GLYMA05G04290

Beta-fructofuranosidase (BFF) or invertase

39.717 (<0.0001)

0.909 (0.3517)

1.763 (0.0196)

GLYMA12G05780

Beta-glucosidase (BGLUC)

INFd (0.0319)

0.317 (0.0164)

INF (<0.0001)

TCA cycle

GLYMA19G01200

Formate dehydrogenase (FDH)

7.092 (0.0020)

1.080 (0.6075)

1.453 (0.0212)

GLYMA17G13730

Malate synthase (MLS)

10.718 (<0.0001)

1.249 (0.5463)

2.145 (0.0094)

GLYMA01G23790

Phosphenolpyruvate carboxykinase 1 (PEPC)

INF (0.0058)

INF (0.0487)

INF (<0.0001)

Amino acid metabolism

GLYMA03G04990

Alanine-glyoxylate transaminase (AGT)

10.792 (0.0201)

1.164 (0.7345)

2.592 (0.0003)

GLYMA02G39320

Asparagine synthetase (ASN)

INF (0.0038)

2.178 (0.0403)

2.159 (0.0277)

GLYMA01G24530

Delta 1-pyrroline-5-carboxylate synthase 2 (DPSC2)

INF (<0.0001)

4.450 (0.0424)

3.486 (0.0003)

GLYMA03G12240

Glutamate-5-kinase (G5K)

25.089 (0.0084)

1.289 (0.9217)

3.806 (0.0001)

GLYMA19G36620

Phenylalanine ammonia lyase 1 (PAL1)

6.144 (0.0095)

1.362 (0.1645)

2.588 (<0.0001)

Glutathione metabolism

GLYMA10G33650

Glutathione-S-transferase (GST)

INF (0.0200)

1.578 (0.3678)

8.812 (<0.0001)

  1. aGene annotations based on the SoyBase database
  2. bRNAseq fold change values based on pairwaise comparisons using the negative binomial test and an FDR correction <0.1 using Benjamini-Hochberg multiple corrections [87]
  3. cqRT-PCR fold changes based on [81] efficiencies and P values based on pairwise comparisons using Student’s t test comparisons
  4. dINF represents transcripts that were detected in infected samples, and not detected (below the detection threshold) in control samples
  5. Transcript changes were deemed statistically and biologically significant if P < 0.1 for RNAseq or P < 0.05 and fold changes were >1.5 or <−1.5
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BMC Plant Biology

ISSN: 1471-2229

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