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Biology subjects

Emery, M.

Publications and source records attributed to Emery, M..

2 recordsLinked to original sources

Gene Family Complexity and Expression Divergence as a Mechanism of Adaptation In Coral

Gene family complexity and its influence on expression dynamics has long been theorized to be an important source of adaptation in natural systems through providing novel genetic material and influencing gene dosage. There is now growing empirical support for this theory; however, this process has only been demonstrated in a limited number of systems typically using recently diverged species or populations. In particular, examples of how this process operates in basal animals with deeper species splits has not been well explored. To address this issue, we investigated the evolution of gene family complexity in five species of common Caribbean coral. We demonstrate widespread divergence in gene repertoires owing to slow rates of gene turnover occurring along deep species splits. The resulting differences in gene family complexity involve numerous biologic processes, shedding light on to the selective forces that have influenced the evolution of each species. By coupling these findings with gene expression data, we show that increased gene family complexity promotes increased expression divergence between species, indicating an interplay between gene family complexity and expression divergence. Finally, we show that immune genes are evolving particularly fast demonstrating the importance of interactions with other organisms in the evolutionary history of Caribbean corals. Overall, these findings provide support for gene copy number change as an important evolutionary force in Caribbean corals, which may influence their ability to persist in a rapidly changing environment.

genomics

A novel framework for characterizing genomic haplotype diversity in the human immunoglobulin heavy chain locus

An incomplete ascertainment of genetic variation within the highly polymorphic immunoglobulin heavy chain locus (IGH) has hindered our ability to define genetic factors that influence antibody and B cell mediated processes. To date, methods for locus-wide genotyping of all IGH variant types do not exist. Here, we combine targeted long-read sequencing with a novel bioinformatics tool, IGenotyper, to fully characterize genetic variation within IGH in a haplotype-specific manner. We apply this approach to eight human samples, including a haploid cell line and two mother-father-child trios, and demonstrate the ability to generate high-quality assemblies (>98% complete and >99% accurate), genotypes, and gene annotations, including 2 novel structural variants and 16 novel gene alleles. We show that multiplexing allows for scaling of the approach without impacting data quality, and that our genotype call sets are more accurate than short-read (>35% increase in true positives and >97% decrease in false-positives) and array/imputation-based datasets. This framework establishes a foundation for leveraging IG genomic data to study population-level variation in the antibody response.

genomics