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Canalda-Baltrons, A.

Publications and source records attributed to Canalda-Baltrons, A..

2 recordsLinked to original sources

Structural variation shapes regulatory and evolutionary diversity at the HLA locus

The human leukocyte antigen (HLA) region is among the most polymorphic loci in the human genome and plays a central role in immune function, yet the contribution of structural variation to its genetic and regulatory diversity remains poorly characterised. Using 460 phased, near-complete human genome assemblies from globally diverse populations, we systematically mapped structural variation and gene content across the HLA locus. We show that the HLA region contains substantially more structural variation than any other region of chromosome 6. At the HLA class II locus, all individuals could be assigned to one of 13 distinct HLA-DR-DQ structural haplotypes, whereas the HLA-A region comprised four major haplotypes, which we found to be interspersed among non-human primate lineages. These structural haplotypes exhibit marked differences in population frequency and show increasing allelic diversity over European prehistory. Integration of Iso-Seq and RNA-Seq data revealed that structural haplotypes are associated with differences in HLA gene expression, suggesting that structural variation directly influences immune gene regulation. Together, our results identify structural variation as a key and previously underappreciated contributor to HLA regulatory diversity, with broad functional and evolutionary implications for human immunity. Manuscript summaryStructural variation drives HLA haplotype diversity and gene expression differences across global human populations.

bioinformatics↗

Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance

Structural variants (SVs) are increasingly recognized as key drivers of bacterial evolution, yet their role has not been explored thoroughly. This is due to limitations in traditional short-read sequencing and linear reference-based analyses, which can miss complex structural changes. Tuberculosis (TB), a disease caused by Mycobacterium tuberculosis (Mtb), remains a major global health concern. In this study, we harness long-read sequencing technologies and genome graph tools to construct a Mtb pangenome reference graph (PRG) from 859 high-quality, diverse, long-read assemblies. To enable accurate genotyping of SVs leveraging the PRG, we developed miniwalk, a tool that outperforms a traditional linear genome-based approach in precision for SV detection. We characterize patterns of structural variation genome-wide, revealing a virulence-associated ESX-5 deletion to be recurrent across the phylogeny, and fixed in a sub-lineage of L4. Systematic screens for additional genes that are recurrently affected by SVs implicated those related to metal homeostasis, including a copper exporter fixed in the widely distributed L1.2.1 sub-lineage. Lastly, we genotyped 41,134 isolates and found SVs putatively associated with resistance to various first and second-line drugs. These findings underscore the broader role of SVs in shaping Mtb diversity, highlighting their importance in both understanding evolution and designing strategies to combat drug-resistant TB.

genomics↗