Literature DB >> 35526222

Transcriptome analysis and identification of genes associated with oil accumulation in upland cotton.

Jikun Song1,2, Wenfeng Pei1,2, Nuohan Wang3, Jianjiang Ma2, Yue Xin2, Shuxian Yang2, Wei Wang1, Quanjia Chen1, Jinfa Zhang4, Jiwen Yu1,2, Man Wu2, Yanying Qu1.   

Abstract

Cotton is not only the most important fiber crop but also the fifth most important oilseed crop in the world because of its oil-rich seeds as a byproduct of fiber production. By comparative transcriptome analysis between two germplasms with diverse oil accumulation, we reveal pieces of the gene expression network involved in the process of oil synthesis in cottonseeds. Approximately, 197.16 Gb of raw data from 30 RNA sequencing samples with 3 biological replicates were generated. Comparison of the high-oil and low-oil transcriptomes enabled the identification of 7682 differentially expressed genes (DEGs). Based on gene expression profiles relevant to triacylglycerol (TAG) biosynthesis, we proposed that the Kennedy pathway (diacylglycerol acyltransferase-catalyzed diacylglycerol to TAG) is the main pathway for oil production, rather than the phospholipid diacylglycerol acyltransferase-mediated pathway. Using weighted gene co-expression network analysis, 5312 DEGs were obtained and classified into 14 co-expression modules, including the MEblack module containing 10 genes involved in lipid metabolism. Among the DEGs in the MEblack module, GhCYSD1 was identified as a potential key player in oil biosynthesis. The overexpression of GhCYSD1 in yeast resulted in increased oil content and altered fatty acid composition. This study may not only shed more light on the underlying molecular mechanism of oil accumulation in cottonseed oil, but also provide a set of new gene for potential enhancement of oil content in cottonseeds.
© 2022 Scandinavian Plant Physiology Society.

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Year:  2022        PMID: 35526222     DOI: 10.1111/ppl.13701

Source DB:  PubMed          Journal:  Physiol Plant        ISSN: 0031-9317            Impact factor:   4.500


  1 in total

1.  Genome-Wide Identification and Expression Analyses of the Cotton AGO Genes and Their Potential Roles in Fiber Development and Stress Response.

Authors:  Mingchuan Fu; Yizhen Chen; Hao Li; Liguo Wang; Renzhong Liu; Zhanji Liu
Journal:  Genes (Basel)       Date:  2022-08-20       Impact factor: 4.141

  1 in total

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