Integration of RNA-Seq profiling with genome-wide association study predicts candidate genes for oil accumulation in soybean

2020 ◽  
Vol 71 (12) ◽  
pp. 996
Author(s):  
Yuan Niu ◽  
Guoliang Zhang ◽  
Faxiang Wan ◽  
Yuan-Ming Zhang
Keyword(s):  
Oleic Acid ◽  
Association Study ◽  
Acid Content ◽  
Oil Content ◽  
Seed Oil ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Rna Seq ◽  
Oil Accumulation ◽  
Genome Wide

The most important objectives of soybean (Glycine max (L.) Merr.) breeding are to increase oil content and to improve oil quality. Although the biochemical processes of oil accumulation in oilseeds are very clear, knowledge of their underlying genetic mechanisms and regulation is limited. We performed RNA-Seq of soybean seeds from six accessions with high, medium and low seed oil contents. Through comparative genome analysis, promoter-enrichment study, and protein–protein interaction (PPI) analysis, 80 lipid-metabolism-related genes and 31 transcription factors were detected. The pathways of fatty acid elongation, desaturation and export from plastid (P = 2.53E-4), and triacylglycerol biosynthesis (P = 2.31E-8), were significantly over-represented in accessions with high total oil content. Further, in an integration analysis of RNA-Seq and a genome-wide association study (GWAS) database, 62 candidate genes were found to be associated with seed oil content, 73 with oleic acid content, and 83 with linolenic acid content. Of these, 60 genes were found to be involved mainly in metabolism of lipids (25), carbohydrates (24), and amino acids (11). Thirty are known oil-synthesis-related genes; LOX1, CYP93D1 and GPT2 for oil content, SAD and FAD2 for oleic acid, and FAD2, CYP89A6 and GPT2 for linolenic acid were detected twice. There were 22 genes found to be associated with at least two oil-related traits, and of 154 pairs of PPIs, two genes for each pair of 95 PPIs (62%) were found to be associated with various oil-related traits, indicating the genetic foundations of oil-related traits. Three transcription factor genes were found to be associated with oil-related traits: HRE2 (Glyma.10G016500), ERF12 (Glyma.13G236600) and WRKY6 (Glyma.15G110300). This study provides an efficient strategy for further discovery of mechanisms of oil composition and accumulation.

Pool-based genome-wide association study identified novel candidate regions on BTA9 and 14 for oleic acid percentage in Japanese Black cattle

2018 ◽  
Vol 89 (8) ◽  
pp. 1060-1066 ◽  
Author(s):  
Fuki Kawaguchi ◽  
Hiroto Kigoshi ◽  
Ayaka Nakajima ◽  
Yuta Matsumoto ◽  
Yoshinobu Uemoto ◽  
...  
Keyword(s):  
Oleic Acid ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Japanese Black Cattle ◽  
Genome Wide ◽  
Candidate Regions ◽  
Acid Percentage

scholarly journals Transcriptomic and Genome-wide Association Study Reveal Long Noncoding RNAs Responding to Nitrogen Deficiency in Maize

2020 ◽  
Author(s):  
PENG MA ◽  
Xiao Zhang ◽  
Bowen Luo ◽  
Zhen Chen ◽  
Xuan He ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Nitrogen Deficiency ◽  
Snp Array ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Genome Wide Association ◽  
Rna Seq ◽  
Genome Wide ◽  
A Genome

Abstract Background: Long noncoding RNAs (lncRNAs) play important roles in essential biological processes. However, our understanding of lncRNAs as competing endogenous RNAs (ceRNAs) and their responses to nitrogen stress is still limited.Results: Here, we surveyed the lncRNAs and miRNAs in maize inbred line P178 leaves and roots at the seedling stage under high-nitrogen and low-nitrogen conditions using lncRNA-Seq and small RNA-Seq. A total of 894 differentially expressed lncRNAs and 38 different miRNAs were identified. Co-expression analysis found two lncRNAs and four lncRNA-targets could competitively combine with ZmmiR159 and ZmmiR164, respectively. To dissect the genetic regulatory by which lncRNAs might enable adaptation to limited nitrogen availability. An association mapping panel containing a high-density single–nucleotide polymorphism (SNP) array (56,110 SNPs) combined with variable LN resistance-related phenotypes obtained from hydroponics was used for a genome-wide association study (GWAS). By combining GWAS and RNA-Seq, 170 differently expressed lncRNAs within the range of significant markers were screened. Moreover, 40 consistently LN-responsive genes including those involved in glutamine biosynthesis and nitrogen acquisition in root were identified. Transient expression assays in Nicotiana benthamiana demonstrated LNC_002923 could inhabit ZmmiR159-guided cleavage of Zm00001d015521. Conclusions: These lncRNAs containing trait-associated significant SNPs could consider to be related to root development and nutrient utilization. Taken together, the results of our study can provide new insights into the potential regulatory roles of lncRNAs in response to LN stress, and give valuable information for further screening of candidates as well as the improvement of maize regarding LN-responsive resistance.

scholarly journals Transcriptomic and genome-wide association study reveal long noncoding RNAs responding to nitrogen deficiency in maize

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Peng Ma ◽  
Xiao Zhang ◽  
Bowen Luo ◽  
Zhen Chen ◽  
Xuan He ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Nitrogen Deficiency ◽  
Snp Array ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
Genome Wide Association ◽  
Rna Seq ◽  
Genome Wide ◽  
A Genome

Abstract Background Long noncoding RNAs (lncRNAs) play important roles in essential biological processes. However, our understanding of lncRNAs as competing endogenous RNAs (ceRNAs) and their responses to nitrogen stress is still limited. Results Here, we surveyed the lncRNAs and miRNAs in maize inbred line P178 leaves and roots at the seedling stage under high-nitrogen (HN) and low-nitrogen (LN) conditions using lncRNA-Seq and small RNA-Seq. A total of 894 differentially expressed lncRNAs and 38 different miRNAs were identified. Co-expression analysis found that two lncRNAs and four lncRNA-targets could competitively combine with ZmmiR159 and ZmmiR164, respectively. To dissect the genetic regulatory by which lncRNAs might enable adaptation to limited nitrogen availability, an association mapping panel containing a high-density single–nucleotide polymorphism (SNP) array (56,110 SNPs) combined with variable LN tolerant-related phenotypes obtained from hydroponics was used for a genome-wide association study (GWAS). By combining GWAS and RNA-Seq, 170 differently expressed lncRNAs within the range of significant markers were screened. Moreover, 40 consistently LN-responsive genes including those involved in glutamine biosynthesis and nitrogen acquisition in root were identified. Transient expression assays in Nicotiana benthamiana demonstrated that LNC_002923 could inhabit ZmmiR159-guided cleavage of Zm00001d015521. Conclusions These lncRNAs containing trait-associated significant SNPs could consider to be related to root development and nutrient utilization. Taken together, the results of our study can provide new insights into the potential regulatory roles of lncRNAs in response to LN stress, and give valuable information for further screening of candidates as well as the improvement of maize resistance to LN stress.

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