Genome-wide association analysis reveals new loci for leaf water status, biomass and plant architectural traits in bread wheat under rainfed conditions
Drought during reproductive development and grain filling is a major constraint to bread wheat productivity in rainfed environments. In the present study, we employed genome-wide association analysis in an untapped diversity panel of wheat genotypes relevant to natural dryland conditions. A total of 186 genotypes were evaluated for drought-related physiological, biomass, and architectural traits under terminal rainfed stress in Azerbaijan. Relative water content, plant height, fresh weight, dry weight, flag leaf length, and flag leaf width were assessed at the milk ripening stage. These data were subjected to genome-wide association analysis using 19,737 SNP markers to identify loci and epistatic interactions involved in the determination of these traits. The panel showed broad phenotypic variation and significant genotypic effects for all traits, with broad-sense heritability ranging from 0.991 for plant height to 0.385 for flag leaf width. GWAS identified a major locus for relative water content on chromosome 2D at SNP marker AX-86184518, which explained 11.94% of the genotypic variation. Candidate-gene analysis highlighted the proximal WEB-family-like gene TraesCS2D03G1001000 as the main candidate gene. Plant height showed strong additive loci, mainly on chromosomes 2A and 4A, whereas biomass and flag leaf traits showed suggestive additive loci and epistatic interactions. These findings provide candidate loci and interaction patterns in the genetic make-up of essential traits, which may facilitate indirect selection in breeding new varieties.
Maize grain yield is frequently constrained by water scarcity, particularly in tropical regions characterized by irregular rainfall patterns. Dissecting the genetic basis of drought-related traits remains challenging because their expression is strongly influenced by environmental conditions. In this study, we applied a multi-environment multi-locus genome-wide association study (MEML-GWAS) to identify genomic regions associated with drought-related traits in tropical maize. The association panel comprised 190 inbred lines from the Embrapa breeding program, which were genotyped with 500,108 GBS-derived SNPs, and crossed with two tester lines. Phenotypic data corresponded to the performance of the testcross hybrids, divided in Dent and Flint heterotic groups, evaluated across two years at two locations in Brazil under well-watered and water-stressed conditions. Traits analyzed included grain yield, anthesis-silking interval, female and male flowering time, and plant and ear height. Drought stress reduced grain yield by approximately 50% and increased the anthesis-silking interval by about two days. A total of 179 significant SNP-trait associations were detected, of which 166 showed significant SNP-by-environment interaction effects, while 13 displayed stable effects across environments. Several associations were detected specifically under water-stressed conditions, highlighting genomic regions potentially involved in drought adaptation. Functional annotation revealed candidate genes previously implicated in abiotic stress responses, including ZmTIP1, which encodes an S-acyltransferase regulating root hair development and drought tolerance. Among the novel candidate genes, GRMZM2G159125, encoding a phospholipase D, emerged as a particularly promising candidate due to its strong association with grain yield and its role in membrane lipid signaling pathways related to stress responses. Although a few associations overlapped genomic regions previously reported for drought tolerance in maize, most loci represent potentially novel genetic factors that may contribute to improving drought resilience in tropical maize breeding programs.
Carina de Oliveira Anoni, Kaio Olímpio das Graças Dias, Martin P. Boer et al.· G3· 0 citations
Water deficit is a major constraint on pepper (Capsicum annuum) yield, yet the genetic architecture of reproductive-stage drought tolerance remains poorly resolved. We phenotyped a Balkan C. annuum diversity panel (n = 133) and an interspecific backcross inbred line (BIL) population (n = 76) under well-watered (WW) and water-stress (WS) conditions. WS was applied from anthesis of the second truss as a stepwise reduction in irrigation volume relative to WW (30% for 7 days, then 60% thereafter), maintained for 90 days across the reproductive period. We assessed yield components, soluble solids, and stress-tolerance (STI) and stress-susceptibility (SSI) indices. Genome-wide association study (GWAS) identified 104 SNP-trait associations (P < 1×10-5), and QTL mapping detected 38 significant QTLs (1,000 permutations, α = 0.01), with the QTL intervals defined at LOD ≥ 8. Integrating GWAS and QTL mapping under WS revealed overlapping loci on chromosomes 5 and 6, harboring two consensus intergenic SNPs associated with yield components and soluble solids. Haplotype analysis linked chromosome 5 alleles to higher fruit number and soluble solids. At chromosome 6, the G allele at SNP 6_28348737 was enriched in tolerant lines for fruit number. These regions harbor candidate genes for reproductive development and stress response, including GREEN RIPE-LIKE1 (GRL1), CYP77A19, Endoglucanase-like, and FLOWERING PROMOTING FACTOR 1 (FPF1), possibly through cis-regulatory variation. Together, these results advance understanding of the genetic basis of pepper yield under drought and identify candidate breeding markers.
Avanish Rai, Emil Vatov, Alicja Wieteska Georgieva et al.· Journal of Experimental Bota...· 0 citations
Optimizing leaf morphology is essential for improving maize plant architecture, plant density tolerance, and yield. Leaf length is a key agronomic trait controlled by complex genetic mechanisms. In this study, upper leaf length (ULL), ear leaf length (ELL) and lower leaf length (DLL) were evaluated across two environments using a multiparent RIL population derived from crosses between the temperate inbred line Ye107 and three tropical inbred lines. Combined with high-density GBS markers, genome-wide association study (GWAS) and QTL mapping were integrated to dissect the genetic basis of leaf length.
Leaf length traits exhibited high heritability (54.85%–76.85%). A total of 133 significant SNPs were identified by GWAS, and 13 candidate regions were detected by QTL localization, among which
ql1-17
explained 12.10% of the phenotypic variation. Joint analysis revealed multiple colocalized regions on chromosomes 1, 6 and 8, resulting in the identification of three key candidate genes
ZmHUA2 (Zm00001d029223)
,
ZmCAMTA5 (Zm00001d025235)
, and
ZmPAT16 (Zm00001d038367)
. Haplotype and qRT-PCR analyses showed that favorable haplotypes from tropical parents significantly increased leaf length, and these genes exhibited high expression specificity in the leaf elongation region.
This study elucidates the complex genetic architecture of leaf length in temperate × tropical hybrid populations. Through integrated analyses, we identified key genomic loci and prioritized three candidate genes, particularly
ZmHUA2 (Zm00001d029223)
and
ZmCAMTA5 (Zm00001d025235)
. These findings provide valuable genomic resources and favorable alleles for marker-assisted selection, establishing a robust theoretical and practical foundation for maize ideotype breeding aimed at optimizing leaf morphology to enhance yield potential under high-density planting conditions.
Haoran Lyu, F. Jiang, Yuxiang Luo et al.· BMC Plant Biology· 0 citations
The genetic architecture and core candidate genes for shoot length (SL) and root length (RL) at the germination stage are dissected and seven core candidate genes for SL and 13 for RL are identified, including three pleiotropic genes regulating both traits.