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Genome-wide Study of Drought Tolerance Traits in Wild Jujube

Overview
Journal BMC Plant Biol
Publisher Biomed Central
Specialty Biology
Date 2024 Oct 25
PMID 39448934
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Abstract

Background: Wild jujube trees in Ningxia, China, demonstrate exceptional drought tolerance. The identification of quantitative trait loci (QTLs) associated with drought resistance and linked genes could significantly enhance molecular breeding efforts for this species. This study involved the measurement of nine drought resistance indicators were measured in 150 wild jujube trees from five regions in Ningxia. Genome-wide association studies (GWAS) were carried out using a range of mixed linear models to pinpoint SNP markers linked to drought resistance.

Results: The coefficients of variation for the nine leaf traits in wild jujube trees ranged from 14.76 to 62.17%, with broad-sense heritability estimates falling between 0.84 and 0.99. Through GWAS analysis, a total of 12 significant SNPs and 162 potential genes associated with drought resistance were detected. This SNPs explained phenotypic variance ranging from 20.74 to 50.37%. Gene Ontology (GO) functional annotation highlighted five crucial candidate genes‒ZjMYB44, ZjUCLOC, ZjDnaJ50, ZjUCHL22 and ZjHSFB‒linked to drought tolerance in wild jujube. These genes demonstrated a positive correlation with drought tolerance within the wild jujube population.

Conclusions: Our findings indicate that these five genes likely play a pivotal role in conferring drought tolerance in wild jujubes. This study offers new insights to support the development of drought-resistant jujube varieties, thereby contributing to sustainable agricultural practices and bolstering food security in arid regions.

References
1.
Liu K, Muse S . PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinformatics. 2005; 21(9):2128-9. DOI: 10.1093/bioinformatics/bti282. View

2.
Maulana F, Ayalew H, Anderson J, Kumssa T, Huang W, Ma X . Genome-Wide Association Mapping of Seedling Heat Tolerance in Winter Wheat. Front Plant Sci. 2018; 9:1272. PMC: 6131858. DOI: 10.3389/fpls.2018.01272. View

3.
Liu M, Zhao J, Cai Q, Liu G, Wang J, Zhao Z . The complex jujube genome provides insights into fruit tree biology. Nat Commun. 2014; 5:5315. PMC: 4220462. DOI: 10.1038/ncomms6315. View

4.
Zhao D, Son J, Farooq M, Kim K . Identification of Candidate Gene for Internode Length in Rice to Enhance Resistance to Lodging Using QTL Analysis. Plants (Basel). 2021; 10(7). PMC: 8309285. DOI: 10.3390/plants10071369. View

5.
Lippert C, Listgarten J, Liu Y, Kadie C, Davidson R, Heckerman D . FaST linear mixed models for genome-wide association studies. Nat Methods. 2011; 8(10):833-5. DOI: 10.1038/nmeth.1681. View