Genetic Signatures of Positive Selection in Human Populations Adapted to High Altitude in Papua New Guinea.
Papua New Guinea
archaic introgression. population genomics
high altitude
human adaptation
positive selection
Journal
Genome biology and evolution
ISSN: 1759-6653
Titre abrégé: Genome Biol Evol
Pays: England
ID NLM: 101509707
Informations de publication
Date de publication:
05 Aug 2024
05 Aug 2024
Historique:
accepted:
09
07
2024
medline:
22
8
2024
pubmed:
22
8
2024
entrez:
22
8
2024
Statut:
ppublish
Résumé
Papua New Guinea (PNG) hosts distinct environments mainly represented by the ecoregions of the Highlands and Lowlands that display increased altitude and a predominance of pathogens, respectively. Since its initial peopling approximately 50,000 years ago, inhabitants of these ecoregions might have differentially adapted to the environmental pressures exerted by each of them. However, the genetic basis of adaptation in populations from these areas remains understudied. Here, we investigated signals of positive selection in 62 highlanders and 43 lowlanders across 14 locations in the main island of PNG using whole-genome genotype data from the Oceanian Genome Variation Project (OGVP) and searched for signals of positive selection through population differentiation and haplotype-based selection scans. Additionally, we performed archaic ancestry estimation to detect selection signals in highlanders within introgressed regions of the genome. Among highland populations we identified candidate genes representing known biomarkers for mountain sickness (SAA4, SAA1, PRDX1, LDHA) as well as candidate genes of the Notch signaling pathway (PSEN1, NUMB, RBPJ, MAML3), a novel proposed pathway for high altitude adaptation in multiple organisms. We also identified candidate genes involved in oxidative stress, inflammation, and angiogenesis, processes inducible by hypoxia, as well as in components of the eye lens and the immune response. In contrast, candidate genes in the lowlands are mainly related to the immune response (HLA-DQB1, HLA-DQA2, TAAR6, TAAR9, TAAR8, RNASE4, RNASE6, ANG). Moreover, we find two candidate regions to be also enriched with archaic introgressed segments, suggesting that archaic admixture has played a role in the local adaptation of PNG populations.
Identifiants
pubmed: 39173139
pii: 7738829
doi: 10.1093/gbe/evae161
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© The Author(s) 2024. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.