» Articles » PMID: 32312234

Genetic Dissection of Heat-responsive Physiological Traits to Improve Adaptation and Increase Yield Potential in Soft Winter Wheat

Overview
Journal BMC Genomics
Publisher Biomed Central
Specialty Genetics
Date 2020 Apr 22
PMID 32312234
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Climate change, including higher temperatures (HT) has a detrimental impact on wheat productivity and modeling studies predict more frequent heat waves in the future. Wheat growth can be impaired by high daytime and nighttime temperature at any developmental stage, especially during the grain filling stage. Leaf chlorophyll content, leaf greenness, cell membrane thermostability, and canopy temperature have been proposed as candidate traits to improve crop adaptation and yield potential of wheat under HT. Nonetheless, a significant gap exists in knowledge of genetic backgrounds associated with these physiological traits. Identifying genetic loci associated with these traits can facilitate physiological breeding for increased yield potential under high temperature stress condition in wheat.

Results: We conducted genome-wide association study (GWAS) on a 236 elite soft wheat association mapping panel using 27,466 high quality single nucleotide polymorphism markers. The panel was phenotyped for three years in two locations where heat shock was common. GWAS identified 500 significant marker-trait associations (MTAs) (p ≤ 9.99 × 10). Ten MTAs with pleiotropic effects detected on chromosomes 1D, 2B, 3A, 3B, 6A, 7B, and 7D are potentially important targets for selection. Five MTAs associated with physiological traits had pleiotropic effects on grain yield and yield-related traits. Seventy-five MTAs were consistently expressed over several environments indicating stability and more than half of these stable MTAs were found in genes encoding different types of proteins associated with heat stress.

Conclusions: We identified 500 significant MTAs in soft winter wheat under HT stress. We found several stable loci across environments and pleiotropic markers controlling physiological and agronomic traits. After further validation, these MTAs can be used in marker-assisted selection and breeding to develop varieties with high stability for grain yield under high temperature.

Citing Articles

Dissecting the genetic basis of fruiting efficiency for genetic enhancement of harvest index, grain number, and yield in wheat.

Shahi D, Guo J, Babar M, Pradhan S, Avci M, McBreen J BMC Plant Biol. 2025; 25(1):101.

PMID: 39856566 PMC: 11760100. DOI: 10.1186/s12870-025-06072-1.


A Genome-Wide Association Study Approach to Identify Novel Major-Effect Quantitative Trait Loci for End-Use Quality Traits in Soft Red Winter Wheat.

Subedi M, Bagwell J, Lopez B, Baik B, Babar M, Mergoum M Genes (Basel). 2024; 15(9).

PMID: 39336768 PMC: 11431581. DOI: 10.3390/genes15091177.


Identifying the physiological traits associated with DNA marker using genome wide association in wheat under heat stress.

Khan A, Ahmad M, Shani M, Khan M, Rahimi M, Tan D Sci Rep. 2024; 14(1):20134.

PMID: 39209932 PMC: 11362520. DOI: 10.1038/s41598-024-70630-0.


Discovering novel genomic regions explaining adaptation of bread wheat to conservation agriculture through GWAS.

Mazumder A, Yadav R, Kumar M, Babu P, Kumar N, Singh S Sci Rep. 2024; 14(1):16351.

PMID: 39013994 PMC: 11252282. DOI: 10.1038/s41598-024-66903-3.


Genome-wide association study for seedling heat tolerance under two temperature conditions in bread wheat (Triticum aestivum L.).

Fu C, Zhou Y, Liu A, Chen R, Yin L, Li C BMC Plant Biol. 2024; 24(1):430.

PMID: 38773371 PMC: 11107014. DOI: 10.1186/s12870-024-05116-2.


References
1.
Chenu K, Deihimfard R, Chapman S . Large-scale characterization of drought pattern: a continent-wide modelling approach applied to the Australian wheatbelt--spatial and temporal trends. New Phytol. 2013; 198(3):801-820. DOI: 10.1111/nph.12192. View

2.
Lechner E, Achard P, Vansiri A, Potuschak T, Genschik P . F-box proteins everywhere. Curr Opin Plant Biol. 2006; 9(6):631-8. DOI: 10.1016/j.pbi.2006.09.003. View

3.
Sukumaran S, Reynolds M, Sansaloni C . Genome-Wide Association Analyses Identify QTL Hotspots for Yield and Component Traits in Durum Wheat Grown under Yield Potential, Drought, and Heat Stress Environments. Front Plant Sci. 2018; 9:81. PMC: 5808252. DOI: 10.3389/fpls.2018.00081. View

4.
Wang W, Vinocur B, Shoseyov O, Altman A . Role of plant heat-shock proteins and molecular chaperones in the abiotic stress response. Trends Plant Sci. 2004; 9(5):244-52. DOI: 10.1016/j.tplants.2004.03.006. View

5.
Ogbonnaya F, Rasheed A, Okechukwu E, Jighly A, Makdis F, Wuletaw T . Genome-wide association study for agronomic and physiological traits in spring wheat evaluated in a range of heat prone environments. Theor Appl Genet. 2017; 130(9):1819-1835. DOI: 10.1007/s00122-017-2927-z. View