Biology subjects

Vigouroux, y.

Publications and source records attributed to Vigouroux, y..

4 recordsLinked to original sources

bioRxiv2026

Managing the genetic diversity of Dioscorea yams for adaptation to climate change

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.

plant biology↗

bioRxiv2025

Evolution of crop phenotypic spaces through domestication

O_LIWe used domestication as an in vivo replicated experiment to investigate how divergent selection has shaped the evolution of multivariate phenotypic spaces. C_LIO_LIWe measured 11 to 57 qualitative and quantitative traits in 13 species, either unique or shared between species, and established a framework for cross-species comparisons. C_LIO_LIOur results revealed significant convergence that translated into a cross-species domestication syndrome. Most species exhibited a reduction of the multivariate phenotypic space during domestication. We brought evidence that Near Infrared spectra measured on leaves reflect phenotypic evolution unrelated with domestication, enabling its use as a control for sampling effects across species. Building on this, we developed a multivariate Phenotypic Divergence Index (mPDI) to rank species by the extent of phenotypic divergence under domestication. We found a high disjunction of wild and domestic phenotypic spaces in all species. Neither the mPDI nor the relative size of wild versus domestic multivariate phenotypic spaces was influenced by the domestication timing or mating system. Lastly, we observed a progressive decoupling of trait correlations with increasing time since domestication. C_LIO_LIIn addition to introducing a new index that can be applied for cross-species comparisons, our study uncovers recurring patterns shared among species, pointing to general principles underlying plant domestication. C_LI

evolutionary biology↗

bioRxiv2023

A quantitative theory for genomic offset statistics

Genomic offset statistics predict the maladaptation of populations to rapid habitat alteration based on association of genotypes with environmental variation. Despite substantial evidence for empirical validity, genomic offset statistics have well-identified limitations, and lack a theory that would facilitate interpretations of predicted values. Here, we clarified the theoretical relationships between genomic offset statistics and unobserved fitness traits controlled by environmentally selected loci, and proposed a geometric measure to predict fitness after rapid change in local environment. he predictions of our theory were verified in computer simulations and in empirical data on African pearl millet (Cenchrus americanus) obtained from a common garden experiment. Our results proposed a unified perspective on genomic offset statistics, and provided a theoretical foundation necessary when considering their potential application in conservation management in the face of environmental change.

evolutionary biology↗

bioRxiv2022

FrangiPANe, a tool for creating a panreference using left behind reads

We present here FrangiPANe, a pipeline developed to build panreference using short reads through a map-then-assemble strategy. Applying it to 248 African rice genomes using an improved CG14 reference genome, we identified an average of 8 Mb of new sequences and 5,290 new contigs per individual. In total, 1.4 G of new sequences, consisting of 1,306,676 contigs, were assembled. We validated 97.7% of the contigs of the TOG5681 cultivar individual assembly from short reads on a newly long reads genome assembly of the same TOG5681 cultivar. FrangiPANe also allowed the anchoring of 31.5% of the new contigs within the CG14 reference genome, with a 92.5% accuracy at 2kb span. We annotated in addition 3,252 new genes absent from the reference. FrangiPANe was developed as a modular and interactive application to simplify the construction of a panreference using the map-then-assemble approach. It is available as a Docker image containing (i) a Jupyter notebook centralizing codes, documentation and interactive visualization of results, (ii) python scripts and (iii) all the software and libraries requested for each step of the analysis. We foreseen our approach will help leverage large-scale illumina dataset for pangenome studies in GWAS or detection of selection.

plant biology↗