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Jamsandekar, M.

Publications and source records attributed to Jamsandekar, M..

4 recordsLinked to original sources

Genomic Annotation Infrastructure (GAIn): Pipelines and Resource Repositories for Annotating Variants, Positions, and Regions

Interpretation of genomic variants, positions, and regions depends on reliable annotation--adding evidence such as predicted effect, conservation, population frequency, and gene-level context--yet the underlying resources are numerous, versioned, and assembly-specific. We present the Genomic Annotation Infrastructure (GAIn), a platform that generates transparent, reproducible annotations via declarative pipelines that define annotation tasks as ordered lists of components, called annotators, that produce annotation attributes using genomic resources from Genomic Resource Repositories (GRRs). We provide two public GRRs: a main repository containing more than 250 heterogeneous genomic resources, and a separate GRR-ENCODE repository containing resources derived from thousands of ENCODE (Encyclopedia of DNA Elements) project experiments. Users can use the annotation pipelines we made available, author custom annotation pipelines, and execute annotation tasks with these pipelines via GAIns web and command-line interfaces. The web interface can be used without any setup, but it relies on shared computational infrastructure and imposes limits on the size of annotation tasks. The command-line interface requires setup but supports arbitrarily large annotation tasks through simple-to-use parallelization and offers a broader set of features. For example, command-line GAIn can be extended by using custom GRRs or creating custom annotators via its plugin architecture. In addition, GAIns re-annotation feature, which updates annotations as they evolve, substantially simplifies maintaining annotations in a large genomics analysis project. GAIns resource management, explicit versioning, and pipeline abstraction provide an auditable, maintainable, and efficient foundation for modern genomic annotation across reference assemblies and use cases.

bioinformatics↗

Unheralded high MHC Class II polymorphism in the abundant Atlantic herring resolved by long-read sequencing

Major Histocompatibility Complex (MHC) genes are the most polymorphic in vertebrate genomes due to their important function of presenting a diversity of peptides from pathogens to initiate an adaptive immune response. Here, we have characterized MHC class II genes and explored their polymorphism and evolution in one of the most abundant vertebrates in the world, Atlantic herring (Clupea harengus). The vast population size and schooling behavior make Atlantic herring an attractive target for pathogens. Hence, we hypothesized that it would maintain exceptionally high MHC polymorphism. We used PacBio HiFi long-read whole genome sequencing data of 14 individuals from three different geographic regions in the Atlantic Ocean and Baltic Sea. The analysis identified nine MHC class II loci distributed across four chromosomes. We found two distinct lineages of class II genes, a highly polymorphic one denoted DA and a non-polymorphic DB lineage, arranged as alpha-beta gene pairs (DAA-DAB or DBA-DBB). The DA genes showed extremely high nucleotide diversity in exon 2, strong signatures of positive selection (dN/dS >> 1) as well as copy number variation. Structure prediction revealed that all highly polymorphic amino acid residues occurred in the predicted peptide binding cleft. Two of the most polymorphic loci showed distinct allelic groupings (supertypes), with high sequence similarity within supertypes and high sequence divergence between supertypes. Most of the haplotypes had genes from different supertypes, thus maintaining diverse class II repertoire in a single individual. There was also a highly significant nonrandom association of DAA and DAB alleles within supertypes, strongly suggesting coevolution of DAA and DAB alleles forming the peptide binding domain. This study reveals that the herring MHC class II genes are among the most, if not the most, polymorphic so far described in vertebrates. Their exceptional polymorphism surpasses that of human due to a larger gene repertoire, copy number variation, and pronounced sequence divergence among alleles. This unheralded polymorphism is most likely explained by the combined effects of the vast population size, minimizing genetic drift, and strong pathogen-driven balancing selection.

immunology↗

The origin and maintenance of supergenes contributing to ecological adaptation in Atlantic herring

Chromosomal inversions are associated with local adaptation in many species. However, questions regarding how they are formed, maintained and impact various other evolutionary processes remain elusive. Here, using a large genomic dataset of long-read and short-read sequencing, we ask these questions in one of the most abundant vertebrates on Earth, the Atlantic herring. This species has four megabase-sized inversions associated with ecological adaptation that correlate with water temperature. The S and N inversion alleles at these four loci dominate in the southern and northern parts, respectively, of the species distribution in the North Atlantic Ocean. By determining breakpoint coordinates of the four inversions and the structural variations surrounding them, we hypothesize that these inversions are formed by ectopic recombination between duplicated sequences immediately outside of the inversions. We show that these are old inversions (>1 MY), albeit formed after the split between Atlantic herring and its sister species, the Pacific herring. They are yet to reach mutation-flux equilibrium, but the large Ne of herring combined with the common occurrence of opposite homozygotes across the species distribution has allowed effective purifying selection to prevent accumulation of genetic load and repeats within the inversions.

evolutionary biology↗

The genetic architecture underlying ecological adaptation in Atlantic herring is not consistent with the infinitesimal model

Atlantic herring is widespread in North Atlantic and adjacent waters and is one of the most abundant vertebrates on earth. This species is well suited to explore genetic adaptation due to minute genetic differentiation at selectively neutral loci. Here we report hundreds of loci underlying ecological adaptation to different geographic areas and spawning conditions. Four of these represent megabase inversions confirmed by long read sequencing. The genetic architecture underlying ecological adaptation in the herring is in conflict with the infinitesimal model for complex traits because of the large shifts in allele frequencies at hundreds of loci under selection.

evolutionary biology↗