Review

Advances in Transcriptome Analyses Using RNA Sequencing Technology in Soybean Plants [Glycine max]  

Jack Min , Mykaela Wagner , Theoni Kasamias
Department of Biological Sciences, Youngstown State University, OH 44555
Author    Correspondence author
Computational Molecular Biology, 2020, Vol. 10, No. 1   
Received: 21 Apr., 2020    Accepted: 23 Apr., 2020    Published: 24 Apr., 2020
© 2020 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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. Currenlty there are over 10,000 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.  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 articles.

Keywords
Soybean; Glycine max; transcriptome; RNA-sequencing; Gene expression; Alternative splicing

(The advance publishing of the abstract of this manuscript does not mean final published, the end result whether or not published will depend on the comments of peer reviewers and decision of our editorial board.)
Computational Molecular Biology
• Volume 10
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. Soybean
. Glycine max
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