Evidence map›Paper›PMID 40165081›Full record

ArticleBMC plant biology2025

Exploring genomic loci and candidate genes associated with drought tolerance indices in spring wheat evaluated under two levels of drought.

Mohamed Mosalam, Rahma A Nemr, Maha Aljabri, Alaa A Said, Mohamed El-Soda

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Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mohamed MosalamDepartment of Plant Breeding, Hochschule Geisenheim University, 65366, Geisenheim, Germany.
Rahma A NemrDepartment of Genetics, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt.
Maha AljabriDepartment of Biology, Faculty of Science, Umm Al-Qura University, Makkah, 21955, Saudi Arabia.
Alaa A SaidDepartment of Agronomy, Faculty of Agriculture, Sohag University, Sohag, Egypt.
Mohamed El-SodaDepartment of Genetics, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt. mohamed.elsoda@agr.cu.edu.eg.

Funding

Science, Technology & Innovation Funding Authority 25959
6 · The paper itself

Abstract

backgroundWheat is a major global crop, and increasing its productivity is essential to meet the growing population demand. However limited water resources is the primary constraint. This study aimed to identify genetic factors associated with drought tolerance using a diverse panel of 287 wheat genotypes evaluated under well-watered and drought-stressed conditions. Water Use Efficiency (WUE) and Grain Yield (GY), along with drought tolerance indices, were assessed. A genome-wide association study (GWAS) using 26,814 high-density SNP markers identified loci linked to these traits, with 768 SNPs showing significant associations. Additionally, genomic selection (GS) was performed using the rrBLUP model to predict trait performance across environments.

resultsAmong the 768 significant SNPs associated with the measured traits at -log10 (P) ≥ 3, 81 SNPs were mapped with a higher threshold -log10 (P) ≥ 4, indicating pleiotropic and QTL-by-environment interaction effects. Several novel and known genes, previously reported to have functions related to biotic and abiotic stresses response were linked to significant SNPs. Among the drought indices evaluated, stress tolerance index (STI), geometric mean productivity (GMP), and tolerance index (TOL) were the most reliable indicators for selecting stable, high-yielding genotypes under drought and control conditions. The same three indices exhibited high prediction values under the severe drought stress (SS) condition. Five genotypes were identified as promising candidates for breeding programs based on their superior drought tolerance, high grain yield, and nutritional value.

conclusionThis study provides valuable insights into the genetic basis of drought tolerance in wheat, highlighting key SNPs and genomic regions associated with improved water use efficiency and yield stability. The findings contribute to the development of drought-tolerant wheat varieties with optimized water utilization to achieve increased yield per unit of water at diverse water levels, ultimately contributing to sustainable agriculture and food security.

Indexed as

DroughtsGenes, PlantTriticumDrought ResistanceGenome-Wide Association StudyGenotypePolymorphism, Single NucleotideQuantitative Trait LociStress, PhysiologicalDrought indicesGenomic selectionGWASSpring wheat

Identifiers

PMID40165081
PMCPMC11959823

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.