{"title":"基于RNA测序技术的大豆转录组分析进展[Glycine max]","authors":"J. Min, Mykaela Wagner, Theoni Kasamias","doi":"10.5376/CMB.2021.11.0001","DOIUrl":null,"url":null,"abstract":"Soybean [Glycine max] is an important oil and food plant for both humans and animals. Recent development in RNA sequencing (RNA-seq) technology provides a cost effective approach to analyzing transcriptomes of plants at different developmental stages and in responses to different biotic and abiotic challenges. Currently there are over 5 000 RNA-seq datasets in soybean plants publicly available at SRA database in the National Center for Biotechnology Information (NCBI). Such a large number of RNA-seq datasets provide soybean researchers an opportunity as well as a challenge for fully exploring the data to understand soybean biology. A number of research articles have been published on applications of RNA-seq in transcriptome analysis of soybean plants, covering a wide range of topics including growth and development, plant mineral nutrients, responses to environmental stresses, pathogens and pests. In this work we compile and review recent advances of RNA-seq transcriptome analyses including profiling of differential gene expression, gene alternative splicing, and gene regulatory networks in soybean plants, with key findings excerpted from each individual published article.","PeriodicalId":74675,"journal":{"name":"Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- )","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Advances in Transcriptome Analyses Using RNA Sequencing Technology in Soybean Plants [Glycine max]\",\"authors\":\"J. Min, Mykaela Wagner, Theoni Kasamias\",\"doi\":\"10.5376/CMB.2021.11.0001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Soybean [Glycine max] is an important oil and food plant for both humans and animals. Recent development in RNA sequencing (RNA-seq) technology provides a cost effective approach to analyzing transcriptomes of plants at different developmental stages and in responses to different biotic and abiotic challenges. Currently there are over 5 000 RNA-seq datasets in soybean plants publicly available at SRA database in the National Center for Biotechnology Information (NCBI). Such a large number of RNA-seq datasets provide soybean researchers an opportunity as well as a challenge for fully exploring the data to understand soybean biology. A number of research articles have been published on applications of RNA-seq in transcriptome analysis of soybean plants, covering a wide range of topics including growth and development, plant mineral nutrients, responses to environmental stresses, pathogens and pests. In this work we compile and review recent advances of RNA-seq transcriptome analyses including profiling of differential gene expression, gene alternative splicing, and gene regulatory networks in soybean plants, with key findings excerpted from each individual published article.\",\"PeriodicalId\":74675,\"journal\":{\"name\":\"Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- )\",\"volume\":\"7 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- )\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5376/CMB.2021.11.0001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- )","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5376/CMB.2021.11.0001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advances in Transcriptome Analyses Using RNA Sequencing Technology in Soybean Plants [Glycine max]
Soybean [Glycine max] is an important oil and food plant for both humans and animals. Recent development in RNA sequencing (RNA-seq) technology provides a cost effective approach to analyzing transcriptomes of plants at different developmental stages and in responses to different biotic and abiotic challenges. Currently there are over 5 000 RNA-seq datasets in soybean plants publicly available at SRA database in the National Center for Biotechnology Information (NCBI). Such a large number of RNA-seq datasets provide soybean researchers an opportunity as well as a challenge for fully exploring the data to understand soybean biology. A number of research articles have been published on applications of RNA-seq in transcriptome analysis of soybean plants, covering a wide range of topics including growth and development, plant mineral nutrients, responses to environmental stresses, pathogens and pests. In this work we compile and review recent advances of RNA-seq transcriptome analyses including profiling of differential gene expression, gene alternative splicing, and gene regulatory networks in soybean plants, with key findings excerpted from each individual published article.