中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An Integrated Bioinformatics Analysis Reveals Divergent Evolutionary Pattern of Oil Biosynthesis in High- and Low-Oil Plants

文献类型:期刊论文

作者Zhang L1; Wang SB1,2; Zhou L1,4; Zheng HQ5; Dunwell JM6; Zhang YM[*]1,2; Li QG3; Song J1; Hao YQ1
刊名PLOS ONE
出版日期2016
卷号11期号:5页码:e0154882
通讯作者soyzhang@njau.edu.cn ; soyzhang@mail.hzau.edu.cn
英文摘要Seed oils provide a renewable source of food, biofuel and industrial raw materials that is important for humans. Although many genes and pathways for acyl-lipid metabolism have been identified, little is known about whether there is a specific mechanism for high-oil content in high-oil plants. Based on the distinct differences in seed oil content between four high-oil dicots (20~50%) and three low-oil grasses (<3%), comparative genome, transcriptome and differential expression analyses were used to investigate this mechanism. Among 4,051 dicot-specific soybean genes identified from 252,443 genes in the seven species, 54 genes were shown to directly participate in acyl-lipid metabolism, and 93 genes were found to be associated with acyl-lipid metabolism. Among the 93 dicot-specific genes, 42 and 27 genes, including CBM20-like SBDs and GPT2, participate in carbohydrate degradation and transport, respectively. 40 genes highly up-regulated during seed oil rapid accumulation period are mainly involved in initial fatty acid synthesis, triacylglyceride assembly and oil-body formation, for example, ACCase, PP, DGAT1, PDAT1, OLEs and STEROs, which were also found to be differentially expressed between high- and low-oil soybean accessions. Phylogenetic analysis revealed distinct differences of oleosin in patterns of gene duplication and loss between high-oil dicots and low-oil grasses. In addition, seed-specific GmGRF5, ABI5 and GmTZF4 were predicted to be candidate regulators in seed oil accumulation. This study facilitates future research on lipid biosynthesis and potential genetic improvement of seed oil content.
收录类别SCI
资助信息This work was supported by the National Natural Science Foundation of China (grant 31571268), and Huazhong Agricultural University Scientific and Technological Self-innovation Foundation (Program No. 2014RC020).
语种英语
源URL[http://159.226.149.26:8080/handle/152453/9828]  
专题昆明动物研究所_遗传资源与进化国家重点实验室
作者单位1.State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, People's Republic of China
2.Statistical Genomics Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, People's Republic of China
3.State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, People's Republic of China
4.Institute of Biotechnology, Jiangsu Academy of Agricultural Science, Nanjing 210014, People's Republic of China
5.Department of Biology, McGill University, Montreal, Quebec H3A 1B1, Canada.
6.School of Agriculture, Policy and Development, University of Reading, Reading RG6 6AS, United Kingdom.
推荐引用方式
GB/T 7714
Zhang L,Wang SB,Zhou L,et al. An Integrated Bioinformatics Analysis Reveals Divergent Evolutionary Pattern of Oil Biosynthesis in High- and Low-Oil Plants[J]. PLOS ONE,2016,11(5):e0154882.
APA Zhang L.,Wang SB.,Zhou L.,Zheng HQ.,Dunwell JM.,...&Hao YQ.(2016).An Integrated Bioinformatics Analysis Reveals Divergent Evolutionary Pattern of Oil Biosynthesis in High- and Low-Oil Plants.PLOS ONE,11(5),e0154882.
MLA Zhang L,et al."An Integrated Bioinformatics Analysis Reveals Divergent Evolutionary Pattern of Oil Biosynthesis in High- and Low-Oil Plants".PLOS ONE 11.5(2016):e0154882.

入库方式: OAI收割

来源:昆明动物研究所

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