Biology subjects

Aguirre-Liguori, J. A.

Publications and source records attributed to Aguirre-Liguori, J. A..

7 recordsLinked to original sources

bioRxiv2026

The dynamics of introgression across an adaptive radiation: examining hybrid speciation and parallel adaptation in North American Vitis

Hybridization between species can contribute to parallel adaptive events and, in some cases, speciation. However, the prevalence of introgression is rarely measured across multiple species, meaning that it is rarely integrated with landscape-scale processes or connected to adaptive repeatability. Here, we analyzed whole-genome resequencing data from 639 accessions representing 48 Vitis species. Vitis is notable for the domesticated grapevine (V. vinifera), multiple economically important North American species, and as an example of a temperate adaptive radiation. Our dataset included population-level sampling for 19 species, from which we reconstructed individual- and species-level phylogenetic frameworks for the genus. The analyses uncovered widespread evidence of introgression, comprising [~]14% of the average Vitis genome. Introgression was associated with geographic distribution between species, and highly admixed individuals were more frequently found near ecological niche margins. Genetic analyses further indicated that previously recognized hybrid taxa, V. x doaniana and V. x champinii, likely represent hybrid swarms rather than distinct species. We also assessed patterns of adaptive repeatability across eight species with denser population sampling. For six of the eight species, most of the detected sweeps overlapped with sweeps in other species; on average, more recently diverged species shared more overlapping sweeps. Parallel sweep events were driven mostly by introgression, although a substantial fraction ([~]40%) was attributed to selection on ancestral standing variation. By integrating population genomic data across many species, this study highlights the central role of shared genetic variation across an adaptive radiation.

evolutionary biology↗

bioRxiv2024

Climate, population size, and dispersal influences mutational load across the landscape in Vitis arizonica

The interplay between genetics and the environment determines a populations ability to survive. Plants, being immobile, are particularly vulnerable to environmental shifts and must adapt to their local environment or face extinction. While considerable efforts have been devoted to identifying adaptive genetic variation and to model its relationship with climate, the role of deleterious variation has been largely overlooked. To address this gap, we studied the landscape genomics of Vitis arizonica, a grape species endemic to the American Southwest and a crop wild relative of the domesticated grapevine. We estimated mutational load, a component of genetic load, in 162 individuals sampled across the present species range and built temporal species distribution models (SDMs) to project the historical, present, and future distributions of V. arizonica to infer species range dynamics. Mutational load was highest for individuals at an inferred leading edge of range expansion. Using random forest regression (RF) models, we examined the relationship between mutational load and climatic variation. The RF models, which we transformed by a weighting method to account for correlated predictors, identified climatic variables, historical dispersion distances, and heterozygosity as high-ranking features. Our findings show that mutational load can be predicted and identifies features that contribute to load. These results provide a foundation for integrating mutational load into broader efforts to understand species adaptation and maladaptation in the face of climate change. SIGNIFICANCE STATEMENTThe accumulation of deleterious genetic variation (i.e., genetic load) in a genome can reduce organismal fitness and hinder adaptation to local conditions. While the genetic mechanisms contributing to genetic load have been well-studied, its interaction with environmental variation is less understood. Here we explored the relationship between climatic variation, species range, and genetic load in Vitis arizonica, a wild grape species native to the American Southwest. We identified associations between climatic variation and genetic load and built a machine learning model to predict genetic load under future climate scenarios. Our findings suggest that the species range will expand and that genetic load will slightly increase at the population level by the end of the century. This work enhances our understanding of the environmental factors influencing genetic load.

evolutionary biology↗

bioRxiv2022

Multigenic resistance to Xylella fastidiosa in wild grapes (Vitis sps.) and its implications within a changing climate

Xylella fastidiosa is a bacterium that infects crops like grapevines, coffee, almonds, citrus and olives, causing economically devastating damage. There is, however, little understanding of the genes that contribute to resistance, the genomic architecture of resistance, and the potential role of climate in shaping resistance, in part because major crops like grapevines (V. vinifera) are not resistant to the bacterium. Here we studied a wild grapevine species, Vitis arizonica, that segregates for resistance to X. fastidiosa. Using genome-wide association, we identified candidate genes that mediate the host response to X. fastidiosa infection. We uncovered evidence that resistance requires genes from multiple genomic regions, based on data from breeding populations and from additional Vitis species. We also inferred that resistance evolved more than once in the wild, suggesting that wild Vitis species may be a rich source for resistance alleles and mechanisms. Finally, resistance in V. arizonica was climate dependent, because individuals from low (< 10{degrees}C) temperature locations in the wettest quarter were typically susceptible to infection, likely reflecting a lack of pathogen pressure in these climates. Surprisingly, climate was nearly as effective a predictor of resistance phenotypes as some genetic markers. This work underscores that pathogen pressure is likely to increase with climate, but it also provides genetic insight and tools for breeding and transforming resistant crops.

genetics↗

bioRxiv2021

Climate Change, Crop Wild Relatives and Genomic Data: The persistence and agronomic utility of five Vitis species

Crop wild relatives (CWRs) have the capacity to contribute novel traits to agriculture. Given climate change, these contributions may be especially vital for the persistence of perennial crops, because perennials are often clonally propagated and consequently do not evolve rapidly. By studying the landscape genomics of samples from five Vitis CWRs (V. arizonica, V. mustangensis, V. riparia, V. berlandieri and V. girdiana) in the context of projected climate change, we addressed two goals. The first was to assess the relative potential of different CWR accessions to persist in the face of climate change. By integrating species distribution models with adaptive genetic variation, additional genetic features such as genomic load and a phenotype (resistance to Pierces Disease), we predicted that accessions from one species (V. mustangensis) are particularly well-suited to persist in future climates. The second goal was to identify which CWR accessions may contribute to bioclimatic adaptation for grapevine (V. vinifera) cultivation. To do so, we evaluated whether CWR accessions have the allelic capacity to persist if moved to locations where grapevines (V. vinifera) are cultivated in the United States. We identified six candidates from V. mustangensis and hypothesized that they may prove useful for contributing alleles that may mitigate climate impacts on viticulture. By identifying candidate germplasm, this work takes a conceptual step toward assessing the genomic and bioclimatic characteristics of CWRs.

evolutionary biology↗

bioRxiv2020

A wild Cucurbita genome reveals the role of structural variants and introgression in domestication

Despite their economic importance and well-characterized domestication syndrome, the genomic impact of domestication and the identification of variants underlying the domestication traits in Cucurbita species (pumpkins and squashes) is currently lacking. Cucurbita argyrosperma, also known as cushaw pumpkin or silver-seed gourd, is a Mexican crop consumed primarily for its seeds rather than fruit flesh. This makes it a good model to study Cucurbita domestication, as seeds were an essential component of early Mesoamerican diet and likely the first targets of human-guided selection in pumpkins and squashes. We obtained population-level data using tunable Genotype by Sequencing libraries for 192 individuals of the wild and domesticated subspecies of C. argyrosperma across Mexico. We also assembled the first wild Cucurbita genome at a chromosome level. Comparative genomic analyses revealed several structural variants and presence/absence of genes related to domestication. Our results indicate a monophyletic origin of this domesticated crop in the lowlands of Jalisco. We uncovered candidate domestication genes that are involved in the synthesis and regulation of growth hormones, plant defense mechanisms, flowering time and seed development. The presence of shared selected alleles with the closely related species Cucurbita moschata suggests domestication-related introgression between both taxa.

evolutionary biology↗

bioRxiv2020

Evaluation of the minimum sampling design for population genomic and microsatellite studies. An analysis based on wild maize.

Massive parallel sequencing is revolutionizing the field of molecular ecology by allowing to understand better the evolutionary history of populations and species, and to detect genomic regions that could be under selection. However, the needed economic and computational resources generate a tradeoff between the amount of loci that can be obtained and the number of populations or individuals that can be sequenced. In this work, we analyzed and compared two extensive genomic and one large microsatellite datasets consisting of empirical data. We generated different subsampling designs by changing the number of loci, individuals, populations and individuals per population to test for deviations in classic population genetics parameters (HS, FIS, FST) and landscape genetic tests (isolation by distance and environment, central abundance hypothesis). We also tested the effect of sampling different number of populations in the detection of outlier SNPs. We found that the microsatellite dataset is very sensitive to the number of individuals sampled when obtaining summary statistics. FIS was particularly sensitive to a low sampling of individuals in the genomic and microsatellite datasets. For the genomic datasets, we found that as long as many populations are sampled, few individuals and loci are needed. For all datasets we found that increasing the number of population sampled is important to obtain precise landscape genetic estimates. Finally, we corroborated that outlier tests are sensitive to the number of populations sampled. We conclude by proposing different sampling designs depending on the objectives.

genomics↗

bioRxiv2019

Climate change is predicted to disrupt patterns of local adaptation in wild and cultivated maize

Climate change is one of the most important threats to biodiversity and crop sustainability. The impact of climate change is often evaluated on the basis of expected changes in species geographical distributions. Genomic diversity, local adaptation, and migration are seldom integrated into projections of species responses to climate change. Here we predict that climate change will impact populations of two wild relatives of maize, the teosintes Zea mays ssp. mexicana and Z. mays ssp. parviglumis, by altering patterns of local adaptation and decreasing migration probabilities. These alterations appear to be geographically heterogeneous across populations, suggesting that the possible impacts of climate change will vary considerably among populations. This in spite that most populations exhibit high levels of genetic diversity and are predicted to lie within future suitable areas. The heterogeneous patterns of local adaptation uncovered in teosintes are also evident across maize landraces, which suggests that climate change may give way to future maladaptation of several landraces within currently cultivated areas, possibly leading to increased chances of production shocks under increased temperatures. The predicted alterations to habitat distribution, migration potential, and patterns of local adaptation in wild and cultivated maize, raises a red flag for the future of populations. This underscores the need for continued integration of agronomical practices, genomic data, and climate models to better understand the impacts of a rapidly changing climate on cultivated and wild species.

evolutionary biology↗