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The Genome of Okra () Provides Insights into Its Genome Evolution and High Nutrient Content

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Journal Hortic Res
Date 2023 Aug 9
PMID 37554345
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Abstract

Okra () is an important vegetable crop with high nutritional value. However, the mechanism underlying its high nutrient content remains poorly understood. Here, we present a chromosome-scale genome of okra with a size of 1.19 Gb. Comparative genomics analysis revealed the phylogenetic status of , as well as whole-genome duplication (WGD) events that have occurred widely across the Malvaceae species. We found that okra has experienced three additional WGDs compared with the diploid cotton , resulting in a large chromosome number (2n = 130). After three WGDs, okra has undergone extensive genomic deletions and retained substantial numbers of genes related to secondary metabolite biosynthesis and environmental adaptation, resulting in significant differences between okra and in the gene families related to cellulose synthesis. Combining transcriptomic and metabolomic analysis, we revealed the relationship between gene expression and metabolite content change across different okra developmental stages. Furthermore, the sinapic acid/S-lignin biosynthesis-related gene families have experienced remarkable expansion in okra, and the expression of key enzymes involved in the sinapic acid/S-lignin biosynthesis pathway vary greatly across developmental periods, which partially explains the differences in metabolite content across the different stages. Our study gains insights into the comprehensive evolutionary history of Malvaceae species and the genetic basis that underlies the nutrient content changes in okra, which will facilitate the functional study and genetic improvement of okra varieties.

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References
1.
Huang G, Wu Z, Percy R, Bai M, Li Y, Frelichowski J . Genome sequence of Gossypium herbaceum and genome updates of Gossypium arboreum and Gossypium hirsutum provide insights into cotton A-genome evolution. Nat Genet. 2020; 52(5):516-524. PMC: 7203013. DOI: 10.1038/s41588-020-0607-4. View

2.
Chen C, Chen H, Zhang Y, Thomas H, Frank M, He Y . TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Mol Plant. 2020; 13(8):1194-1202. DOI: 10.1016/j.molp.2020.06.009. View

3.
Haas B, Delcher A, Mount S, Wortman J, Smith Jr R, Hannick L . Improving the Arabidopsis genome annotation using maximal transcript alignment assemblies. Nucleic Acids Res. 2003; 31(19):5654-66. PMC: 206470. DOI: 10.1093/nar/gkg770. View

4.
Li Y, Yang Z, Zhang Y, Guo J, Liu L, Wang C . The roles of HD-ZIP proteins in plant abiotic stress tolerance. Front Plant Sci. 2022; 13:1027071. PMC: 9598875. DOI: 10.3389/fpls.2022.1027071. View

5.
Emms D, Kelly S . OrthoFinder: phylogenetic orthology inference for comparative genomics. Genome Biol. 2019; 20(1):238. PMC: 6857279. DOI: 10.1186/s13059-019-1832-y. View