Global transcriptome analysis of subterranean pod and seed in peanut (Arachis hypogaea L.) unravels the complexity of fruit development under dark condition

Liu, H and Liang, X and Lu, Q and Li, H and Liu, H and Li, S and Varshney, R K and Hong, Y and Chen, X (2020) Global transcriptome analysis of subterranean pod and seed in peanut (Arachis hypogaea L.) unravels the complexity of fruit development under dark condition. Scientific Reports (TSI), 10 (1). pp. 1-12. ISSN 2045-2322

[img] PDF - Published Version
Download (3MB)

Abstract

Peanut pods develop underground, which is the most salient characteristic in peanut. However, its developmental transcriptome remains largely unknown. In the present study, we sequenced over one billion transcripts to explore the developmental transcriptome of peanut pod using Illumina sequencing. Moreover, we identified and quantified the abundances of 165,689 transcripts in seed and shell tissues along with a pod developmental gradient. The dynamic changes of differentially expressed transcripts (DETs) were described in seed and shell. Additionally, we found that photosynthetic genes were not only pronouncedly enriched in aerial pod, but also played roles in developing pod under dark condition. Genes functioning in photomorphogenesis showed distinct expression profiles along subterranean pod development. Clustering analysis unraveled a dynamic transcriptome, in which transcripts for DNA synthesis and cell division during pod expansion were transitioning to transcripts for cell expansion and storage activity during seed filling. Collectively, our study formed a transcriptional baseline for peanut fruit development under dark condition.

Item Type: Article
Divisions: Research Program : Genetic Gains
CRP: UNSPECIFIED
Uncontrolled Keywords: Groundnut, Genetics, Genomics
Subjects: Mandate crops > Groundnut
Others > Genetics and Genomics
Depositing User: Mr Arun S
Date Deposited: 08 Sep 2020 06:13
Last Modified: 04 Apr 2022 04:31
URI: http://oar.icrisat.org/id/eprint/11615
Official URL: https://doi.org/10.1038/s41598-020-69943-7
Projects: UNSPECIFIED
Funders: UNSPECIFIED
Acknowledgement: This study was subsidized by the Key-Area Research and Development Program of Guangdong Province (2020B020219003), National Natural Science Foundation of China (31771841, 31801401), Guangdong Basic and Applied Basic Research Foundation (2020A1515010021), National Key Research and Development Program (2018YFD0201009), Science and Technology Program of Guangzhou (201904010190), Open Fund of Guangdong Key Laboratory of Crop Genetic Improvement (2017B030314090), Natural Science Foundation of Guangdong Province (2017A030311007), Modern Agroindustry Technology Research System (CARS-13), Teamwork Projects Fund of Guangdong Natural Science Foundation (2017A030312004), Technology Special Fund of Guangdong Province Agriculture and Rural Affairs Department (2019KJ136-02), Special Fund for Scientific Innovation Strategy-Construction of High Level Academy of Agriculture Science (R2016PY-JX001, R2017YJ-YB2001, R2018PY-JX001, R2018QD-049, R2018QD-050, R2019PY-QF006).
Links:
    View Statistics

    Actions (login required)

    View Item View Item