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

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.

Integrated metabolite profiling and transcriptome analysis reveals tissue-specific regulation of terpenoid biosynthesis in Artemisia argyi.

Artemisia argyi L. is a widely distributed medicinal plant in China. The major bioactive substances of essential oils extracted from leaves are terpenoids. Although many researches have studied the pharmacological effects of the essential oils, the tissue-specific accumulation of terpenoid biosynthesis and the regulatory networks in A. argyi are poorly understood. This study conducted an integrated metabolomic and transcriptomic analysis of roots, stems, and leaves to investigate the tissue-specific regulatory network of terpenoid biosynthesis in A. argyi. We identified 77 unigenes putatively involved in terpenoid backbone biosynthesis. Three rate-determining enzyme genes (DXS, DXR, and HDR) of the methylerythritol phosphate pathway were predominantly expressed in leaves, and strongly co-expressed with eight transcription factors (2 MYBs, 4 WRKYs, and 2 AP2s). An metabolite-transcript correlation analysis revealed 26 putative cytochrome P450s related to terpenoid metabolism in leaves. These results provide a foundation for the future metabolic engineering of useful terpenoids in A. argyi.

Genome-wide association study of the oil content in upland cotton (Gossypium hirsutum L.) and identification of GhPRXR1, a candidate gene for a stable QTLqOC-Dt5-1.

Cottonseed oil is one of the most important renewable resources for edible oil and biodiesel. To detect QTLs associated with cottonseed oil content (OC) and identify candidate genes that regulate oil biosynthesis, a panel of upland cotton germplasm lines was selected among those previously used to perform GWASs in China. In the present study, 13 QTLs associated with 53 common SNPs on 13 chromosomes were identified in multiple environments based on 15,369 polymorphic SNPs using the Cotton63 KSNP array. Of these, the OC QTL qOC-Dt5-1 delineated by nine SNPs occurred in a confidence interval of 4 SSRs with previously reported OC QTLs. A combined transcriptome and qRT-PCR analysis revealed that a peroxidase gene (GhPRXR1) was predominantly expressed during the middle-late stage (20-35 days post anthesis) of ovule development. The overexpression of GhPRXR1 in yeast significantly increased the OC by 20.01-37.25 %. Suppression of GhPRXR1 gene expression in the virus-induced gene-silenced cotton reduced the OC by 18.11%. Our results contribute to identifying more OC QTLs and verifying a candidate gene that influences cottonseed oil biosynthesis.

A genome-wide analysis of the phospholipid: diacylglycerol acyltransferase gene family in Gossypium.

BACKGROUND: Cotton (Gossypium spp.) is the most important natural fiber crop worldwide, and cottonseed oil is its most important byproduct. Phospholipid: diacylglycerol acyltransferase (PDAT) is important in TAG biosynthesis, as it catalyzes the transfer of a fatty acyl moiety from the sn-2 position of a phospholipid to the sn-3 position of sn-1, 2-diacylglyerol to form triacylglycerol (TAG) and a lysophospholipid. However, little is known about the genes encoding PDATs involved in cottonseed oil biosynthesis. RESULTS: A comprehensive genome-wide analysis of G. hirsutum, G. barbadense, G. arboreum, and G. raimondii herein identified 12, 11, 6 and 6 PDATs, respectively. These genes were divided into 3 subfamilies, and a PDAT-like subfamily was identified in comparison with dicotyledonous Arabidopsis. All GhPDATs contained one or two LCAT domains at the C-terminus, while most GhPDATs contained a preserved single transmembrane region at the N-terminus. A chromosomal distribution analysis showed that the 12 GhPDAT genes in G. hirsutum were distributed in 10 chromosomes. However, none of the GhPDATs was co-localized with quantitative trait loci (QTL) for cottonseed oil content, suggesting that their sequence variations are not genetically associated with the natural variation in cottonseed oil content. Most GhPDATs were expressed during the cottonseed oil accumulation stage. Ectopic expression of GhPDAT1d increased Arabidopsis seed oil content. CONCLUSIONS: Our comprehensive genome-wide analysis of the cotton PDAT gene family provides a foundation for further studies into the use of PDAT genes to increase cottonseed oil content through biotechnology.

A genome-wide analysis of the lysophosphatidate acyltransferase (LPAAT) gene family in cotton: organization, expression, sequence variation, and association with seed oil content and fiber quality.

BACKGROUND: Lysophosphatidic acid acyltransferase (LPAAT) encoded by a multigene family is a rate-limiting enzyme in the Kennedy pathway in higher plants. Cotton is the most important natural fiber crop and one of the most important oilseed crops. However, little is known on genes coding for LPAATs involved in oil biosynthesis with regard to its genome organization, diversity, expression, natural genetic variation, and association with fiber development and oil content in cotton. RESULTS: In this study, a comprehensive genome-wide analysis in four Gossypium species with genome sequences, i.e., tetraploid G. hirsutum- AD1 and G. barbadense- AD2 and its possible ancestral diploids G. raimondii- D5 and G. arboreum- A2, identified 13, 10, 8, and 9 LPAAT genes, respectively, that were divided into four subfamilies. RNA-seq analyses of the LPAAT genes in the widely grown G. hirsutum suggest their differential expression at the transcriptional level in developing cottonseeds and fibers. Although 10 LPAAT genes were co-localised with quantitative trait loci (QTL) for cottonseed oil or protein content within a 25-cM region, only one single strand conformation polymorphic (SSCP) marker developed from a synonymous single nucleotide polymorphism (SNP) of the At-Gh13LPAAT5 gene was significantly correlated with cottonseed oil and protein contents in one of the three field tests. Moreover, transformed yeasts using the At-Gh13LPAAT5 gene with the two sequences for the SNP led to similar results, i.e., a 25-31% increase in palmitic acid and oleic acid, and a 16-29% increase in total triacylglycerol (TAG). CONCLUSIONS: The results in this study demonstrated that the natural variation in the LPAAT genes to improving cottonseed oil content and fiber quality is limited; therefore, traditional cross breeding should not expect much progress in improving cottonseed oil content or fiber quality through a marker-assisted selection for the LPAAT genes. However, enhancing the expression of one of the LPAAT genes such as At-Gh13LPAAT5 can significantly increase the production of total TAG and other fatty acids, providing an incentive for further studies into the use of LPAAT genes to increase cottonseed oil content through biotechnology.