ArticleBMC plant biology2022
Unlocking the molecular basis of wheat straw composition and morphological traits through multi-locus GWAS.
Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Multi-locus genome-wide association study on the rheological traits in wheat flour dough.BMC genomics · 2026Article
- Genome-wide association study identifies consistent genomic loci for yield and nutritional quality in Ethiopian sorghum landraces.The plant genome · 2026Article
- Wheat straw decomposition constituents: a genome-wide association study and environmental influence analysis.Frontiers in plant science · 2026Article
- Dissecting the genetics of forage quality traits in soft red winter wheat in the U.S. southeast region.Frontiers in plant science · 2026Article
- Multi-locus genome-wide association mapping for major agronomic and yield-related traits in sorghum (Sorghum bicolor (L.) moench) landraces.BMC genomics · 2025Article
- Genome-wide association analysis of wheat stem traits using 55K microarrays.Frontiers in plant science · 2025Article
- Identifying a cell wall ideotype for increased soil carbon contents associated withFrontiers in plant science · 2025Article
- Simultaneous improvement of grain yield and grain protein concentration in durum wheat by using association tests and weighted GBLUP.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Genomics for Yield and Yield Components in Durum Wheat.Plants (Basel, Switzerland) · 2023Review
- Breeding effects on durum wheat traits detected using GWAS and haplotype block analysis.Frontiers in plant science · 2023Article
- Genetic approaches to exploit landraces for improvement ofFrontiers in plant science · 2023Review
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRapid reductions in emissions from fossil fuel burning are needed to curb global climate change. Biofuel production from crop residues can contribute to reducing the energy crisis and environmental deterioration. Wheat is a renewable source for biofuels owing to the low cost and high availability of its residues. Thus, identifying candidate genes controlling these traits is pivotal for efficient biofuel production. Here, six multi-locus genome-wide association (ML-GWAS) models were applied using 185 tetraploid wheat accessions to detect quantitative trait nucleotides (QTNs) for fifteen traits associated with biomass composition.
resultsAmong the 470 QTNs, only 72 identified by at least two models were considered as reliable. Among these latter, 16 also showed a significant effect on the corresponding trait (p.value < 0.05). Candidate genes survey carried out within 4 Mb flanking the QTNs, revealed putative biological functions associated with lipid transfer and metabolism, cell wall modifications, cell cycle, and photosynthesis. Four genes encoded as Cellulose Synthase (CeSa), Anaphase promoting complex (APC/C), Glucoronoxylan 4-O Methyltransferase (GXM) and HYPONASTIC LEAVES1 (HYL1) might be responsible for an increase in cellulose, and natural and acid detergent fiber (NDF and ADF) content in tetraploid wheat. In addition, the SNP marker RFL_Contig3228_2154 associated with the variation in stem solidness (Q.Scsb-3B) was validated through two molecular methods (High resolution melting; HRM and RNase H
conclusionsThe study provides new insights into the genetic basis of biomass composition traits on tetraploid wheat. The application of six ML-GWAS models on a panel of diverse wheat genotypes represents an efficient approach to dissect complex traits with low heritability such as wheat straw composition. The discovery of genes/genomic regions associated with biomass production and straw quality parameters is expected to accelerate the development of high-yielding wheat varieties useful for biofuel production.
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