Understanding adaptation to environmental variation is fundamental to climate-resilient agriculture. Here, we analyzed a georeferenced collection of 167 Dioscorea accessions spanning a wide range of bioclimatic and biophysical variation, from dry sahelian environment to rainforest environment. Genome-wide association analyses revealed that the genetic architecture of environmental adaptation is largely driven by large-effect loci, although precipitation-related traits were associated with many small-effect loci. This mixed architecture could lead to multiple breeding strategies, including marker-assisted backcrossing and the targeted use of wild and semi-wild relatives. We identified a core collection of accessions that captures much of the genetic and environmental diversity, and highlighted accessions as potential parents for abiotic stress tolerance. Projections under future climate scenarios using genomic offset identified regions and accessions at elevated risk of maladaptation, as well as others with broad adaptive potentiality. Maximizing the use of available material may facilitate the development of climate-resilient cultivars. Plain Language Summary Yam is an ancient staple crop grown across the tropics, but there is still much room for plant breeders to understand how yam species adapt to their environments. We studied 167 wild and cultivated yam samples from West Africa, spanning dry Sahelian conditions to rainforest, exploring the relationship of these samples’ local climate and soil data. Adaptation appears shaped mainly by a handful of strong-effect genes, plus many small-effect genes tied to rainfall. We identified a smaller “core” set of samples capturing most of the genetic and environmental diversity, and flagged accessions especially promising as parents for breeding stress-tolerant yam. We also predicted which populations face the greatest risk under future climate change. Together, these findings give breeders practical tools for developing climate-resilient yam varieties from existing genebank collections.
B. Adhikari, R. Akakpo, Anna Halpin-McCormick et al.· bioRxiv· 0 citations
Hyacinth bean (Lablab purpureus (L.) Sweet), commonly known as lablab, is an underutilized legume with potential for improving food and nutritional security in smallholder farming systems. Although it is adapted to low-input and drought conditions, genetic improvement of lablab is constrained by limited knowledge of its genetic diversity, despite extensive germplasm collections. Moreover, additional diversity maintained in farmers’ fields is currently not well documented or conserved. This study assessed the genetic diversity and population structure in a global panel of 281 lablab accessions, including newly collected farmer cultivars from Tanzania. Genotype-by-sequencing yielded 15,125 high-quality single nucleotide polymorphisms (SNPs). Observed heterozygosity exceeded expected heterozygosity, suggesting partial outcrossing in this predominantly self-pollinating species. The bimodal distribution of individual heterozygosity, with two peaks corresponding to accessions exhibiting low (< 15%), and high (> 15%) heterozygosity, supports the possibility of partial outcrossing, which may be facilitated by insect pollination. Population structure analyses revealed seven distinct genetic clusters which were not correlated with geography, suggesting historical seed exchange and germplasm movement across regions. Tanzanian farmer collections harbor genetic variation that is not represented in local seedbanks, underscoring the significance of on-farm conservation and the need for future collection efforts. These findings pave the way for further genome research in marker-assisted breeding, which will contribute to future food security and sustainable livelihoods.
Elice Godson Lekasio, K. Mtei, X. Argout et al.· Genetic Resources and Crop E...· 0 citations
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