Molecular geneticists have known for about a decade that genomic structural variants can play important roles in the adaptation and speciation of both plants and animals, but their overall influence on the fitness of plant populations is poorly understood. That's partly because accurate population-level identification of structural variants requires analysis of multiple high-quality genome assemblies, which are not widely available.
In this study, the researchers investigated the fitness consequences of genomic structural variants in natural populations by analyzing and comparing chromosome-scale genome assemblies of 31 naturally occurring populations of Theobroma cacao, the long-lived tree species that is the source of chocolate. Among those 31 strains of cacao, they found more than 160,000 structural variants.
In findings published on Aug. 16 in the Proceedings of the National Academy of Sciences, the researchers reported that most structural variants are deleterious and thus constrain adaptation of the cacao plant. These detrimental effects likely arise as a direct result of impaired gene function and as an indirect result of suppressed gene recombination over long periods of time, they noted.
However, despite the overall detrimental effects, the study also identified individual structural variants bearing signatures of local adaptation, several of which are associated with genes differentially expressed between populations. Genes involved in pathogen resistance are among these candidates, highlighting the contribution of structural variants to this important local adaptation trait.
An exhaustive and painstaking comparison of the genomes of multiple strains of the cacao tree by a team of researchers has provided insights into the role genomic structural variants play in the regulation of gene expression and chromosome evolution, giving rise to the differences within populations of the plant.
The research, which has implications for plant genetics in general, would not have been possible before powerful computers made the high-resolution sequencing of genomes possible, affordable, and relatively fast, according to team member Mark Guiltinan, J. Franklin Styer Professor of Horticultural Botany, and professor of plant molecular biology in Penn State's College of Agricultural Sciences.
The genomes of different populations of cacao trees are 99.9% identical, but it's the structural variants in that one-tenth of 1% of their genomes that account for the plant's diversity in different regions and its adaptation to climate and various diseases. This study makes an association between structural variation and the ability of a plant to adapt to a local environment.
Overall, their findings provide important insight into processes underlying the fitness effects of structural variants in natural populations, the researchers pointed out. They suggest that structural variants influence gene expression, which likely impairs gene function and contributes to their detrimental effects. They also provided empirical support for a theoretical prediction that structural variants result in the suppression of gene recombination, making it less likely the plants can adapt to stressors.
Beyond revealing new empirical evidence for the evolutionary importance of structural variants in all plants, documenting the genomic differences and structural variants among the 31 strains of cacao provides a valuable resource for ongoing genetic and breeding studies for that valuable plant.
All cacao comes from the Amazon basin plants were collected a long time ago from the wild by collectors and they were cloned, so we have a permanent collection. Their genomes have been sequenced, and that represents a huge amount of work and data. As a result of this study, we know that structural variation is important to the survival of the plant, to the evolution of the plant, and especially to the adaptation of the plant to local conditions.
Journal Information: Genomic structural variants constrain and facilitate adaptation in natural populations of , the chocolate tree, Proceedings of the National Academy of Sciences (2021). doi.org/10.1073/pnas.2102914118