Mountain gorilla genomes reveal the impact of long-term population decline and inbreeding

Yali Xue(Wellcome Sanger Institute), Javier Prado-Martinez(Institut de Biologia Evolutiva), Peter H. Sudmant(University of Washington), Vagheesh M. Narasimhan(University of Cambridge), Qasim Ayub(Wellcome Sanger Institute), Michał Szpak(Wellcome Sanger Institute), Peter Frandsen(University of Copenhagen), Yuan Chen(Wellcome Sanger Institute), Bryndís Yngvadóttir(Wellcome Sanger Institute), D.N. Cooper(Cardiff University), Marc de Manuel(Institut de Biologia Evolutiva), Jessica Hernández-Rodríguez(Institut de Biologia Evolutiva), Irene Lobón(Institut de Biologia Evolutiva), Hans R. Siegismund(University of Copenhagen), Luca Pagani(Wellcome Sanger Institute), Michael A. Quail(Wellcome Sanger Institute), Christina Hvilsom(Copenhagen Zoo), Antoine Mudakikwa(Rwanda Development Board), Evan E. Eichler(Howard Hughes Medical Institute), Michael R. Cranfield(Gorilla Doctors), Tomàs Marquès‐Bonet(Institut de Biologia Evolutiva), Chris Tyler‐Smith(Wellcome Sanger Institute), Aylwyn Scally(University of Cambridge)
Science
April 9, 2015
Cited by 512Open Access
Full Text

Abstract

Mountain gorillas are an endangered great ape subspecies and a prominent focus for conservation, yet we know little about their genomic diversity and evolutionary past. We sequenced whole genomes from multiple wild individuals and compared the genomes of all four Gorilla subspecies. We found that the two eastern subspecies have experienced a prolonged population decline over the past 100,000 years, resulting in very low genetic diversity and an increased overall burden of deleterious variation. A further recent decline in the mountain gorilla population has led to extensive inbreeding, such that individuals are typically homozygous at 34% of their sequence, leading to the purging of severely deleterious recessive mutations from the population. We discuss the causes of their decline and the consequences for their future survival.


Related Papers

No related papers found

Powered by citation graph analysis