Literature DB >> 31363917

Comparative transcriptome analysis reveals higher expression of stress and defense responsive genes in dwarf soybeans obtained from the crossing of G. max and G. soja.

Yong-Wook Ban1,2, Neha Samir Roy1,3, Heejung Yang4, Hong-Kyu Choi5, Jin-Hyun Kim5, Prakash Babu2, Keon-Soo Ha6, Jin-Kwan Ham6, Kyong Cheul Park1, Ik-Young Choi7,8.   

Abstract

BACKGROUND: Plant height is an important component of plant architecture and significantly affects crop breeding practices and yield. Dwarfism in plants prevents lodging and therefore it's a desired trait in crops.
OBJECTIVE: To find differentially expressed genes to classify and understand the regulation of genes related to plant growth in mutant dwarf soybeans, which appeared in the F5 generation.
METHODS: We obtained a few segregated dwarf soybeans in the populations derived from the crossing of Glycine max var. Peking and Glycine soja var. IT182936 in an F5 RIL population. These dwarf soybeans may be useful genetic resources for plant breeders, geneticists and biologists. Using the Illumina high-throughput platform, transcriptomes were generated and compared among normal and dwarf soybeans in triplicate.
CONCLUSION: We found complex relationship of the expressed genes to plant growth. There were highly significantly up-/downregulated genes according to the comparison of gene expression in normal and dwarf soybeans. The genes related to disease and stress responses were found to be upregulated in dwarf soybeans. Such over-expression of disease resistance and other immune response genes can be targeted to understand how the immune genes regulate the response of plant growth. In addition, photosynthesis-related genes showed very low expression in dwarf lines. The transcriptome expression and genes classified as related to plant growth may be useful resources to researchers studying plant growth.

Entities:  

Keywords:  DEG; Dwarf; Growth; Soybean; Transcriptome

Mesh:

Year:  2019        PMID: 31363917     DOI: 10.1007/s13258-019-00846-2

Source DB:  PubMed          Journal:  Genes Genomics        ISSN: 1976-9571            Impact factor:   1.839


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