Locke · Nature 2011 · Comparative genomics and population sequencing study · n=11 orang-utans (1 reference assembly + 10 resequenced genomes)

Comparative and demographic analysis of orang-utan genomes.

Cited 642 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Level 5 by design analogy; non-human comparative genomic and population genetics study.

PubMed 21270892 · doi:10.1038/nature09687 · record verified 2026-08-26

What was done

The authors generated a draft genome assembly for the Sumatran orang-utan (*Pongo abelii*) and short-read sequence data from ten additional individuals (five Sumatran *P. abelii* and five Bornean *Pongo pygmaeus*). They evaluated genome structural evolution (rearrangements, segmental duplications, gene family turnover rates, Alu retrotransposon activity, and neocentromere presence), scanned for positive selection across metabolic pathways, and modeled demographic history, including speciation timing and ancestral effective population sizes (N(e)).

What was found

The orang-utan genome showed substantially slower structural evolution than other great apes, marked by fewer rearrangements, reduced segmental duplications, lower gene family turnover, and quiescent Alu mobile elements. A polymorphic neocentromere was identified across both Pongo species. Positive selection signals were detected in pathways including glycolipid metabolism. Demographic modeling estimated the divergence between Sumatran and Bornean species at ~400,000 years ago. Sumatran orang-utans harbored higher genetic diversity and species-specific variation; following divergence, Sumatran N(e) expanded exponentially while Bornean N(e) contracted.

Why it matters

Sequencing the most phylogenetically distant great ape lineage establishes a critical baseline for hominid comparative genomics, demonstrates variable rates of structural genome evolution among primates, and provides reference diversity metrics to guide great ape conservation genetics.

Limits

The population resequencing sample was small (n = 5 per species), restricting resolution for rare variants and localized subpopulation structure. The abstract reports point estimates (e.g., 400,000-year divergence) without confidence intervals or assembly quality metrics (such as coverage depth or contig N50). Functional links between signals of positive selection in glycolipid metabolism pathways and observed low energy expenditure remain inferential without physiological or experimental validation.

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