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
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.

Auteurs

Ram González-Buenfil (R)

Advanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.

Sofía Vieyra-Sánchez (S)

Advanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.

Consuelo D Quinto-Cortés (CD)

Advanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.

Stephen J Oppenheimer (SJ)

School of Anthropology, University of Oxford, Oxford, UK.

William Pomat (W)

Vector-Borne Diseases Unit, Papua New Guinea Institute of Medical Research, Madang, Papua New Guinea.

Moses Laman (M)

Vector-Borne Diseases Unit, Papua New Guinea Institute of Medical Research, Madang, Papua New Guinea.

Mayté C Cervantes-Hernández (MC)

Advanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.

Carmina Barberena-Jonas (C)

Advanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.

Kathryn Auckland (K)

The Centre for Human Genetics, University of Oxford, Oxford, UK.

Angela Allen (A)

Department of Molecular Haematology, MRC Weatherall Institute of Molecular Medicine, Headley Way, Headington, Oxford, OX3 9DS, UK.

Stephen Allen (S)

Department of Clinical Sciences,Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.

Maude E Phipps (ME)

Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Subang Jaya 47500, Selangor, Malaysia.

Emilia Huerta-Sanchez (E)

Center for Computational Molecular Biology, Brown University, Providence, RI 02912, USA.
Department of Ecology, Evolution and Organismal Biology, Brown University, Providence, RI 02912, USA.

Alexander G Ioannidis (AG)

Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA.
Department of Biomedical Data Science, Stanford Medical School, Stanford, CA, USA.

Alexander J Mentzer (AJ)

The Centre for Human Genetics, University of Oxford, Oxford, UK.

Andrés Moreno-Estrada (A)

Advanced Genomics Unit (UGA), Center for Research and Advanced Studies of the National Polytechnic Institute (Cinvestav), Irapuato, Guanajuato, Mexico.

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