↓ Skip to main content

The demographic history and mutational load of African hunter-gatherers and farmers

Overview of attention for article published in Nature Ecology & Evolution, March 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
101 X users
facebook
1 Facebook page

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
112 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The demographic history and mutational load of African hunter-gatherers and farmers
Published in
Nature Ecology & Evolution, March 2018
DOI 10.1038/s41559-018-0496-4
Pubmed ID
Authors

Marie Lopez, Athanasios Kousathanas, Hélène Quach, Christine Harmant, Patrick Mouguiama-Daouda, Jean-Marie Hombert, Alain Froment, George H. Perry, Luis B. Barreiro, Paul Verdu, Etienne Patin, Lluís Quintana-Murci

Abstract

Understanding how deleterious genetic variation is distributed across human populations is of key importance in evolutionary biology and medical genetics. However, the impact of population size changes and gene flow on the corresponding mutational load remains a controversial topic. Here, we report high-coverage exomes from 300 rainforest hunter-gatherers and farmers of central Africa, whose distinct subsistence strategies are expected to have impacted their demographic pasts. Detailed demographic inference indicates that hunter-gatherers and farmers recently experienced population collapses and expansions, respectively, accompanied by increased gene flow. We show that the distribution of deleterious alleles across these populations is compatible with a similar efficacy of selection to remove deleterious variants with additive effects, and predict with simulations that their present-day additive mutation load is almost identical. For recessive mutations, although an increased load is predicted for hunter-gatherers, this increase has probably been partially counteracted by strong gene flow from expanding farmers. Collectively, our predicted and empirical observations suggest that the impact of the recent population decline of African hunter-gatherers on their mutation load has been modest and more restrained than would be expected under a fully recessive model of dominance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 101 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 24%
Researcher 19 17%
Student > Master 17 15%
Professor 8 7%
Other 6 5%
Other 17 15%
Unknown 18 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 36%
Biochemistry, Genetics and Molecular Biology 28 25%
Environmental Science 3 3%
Psychology 3 3%
Medicine and Dentistry 3 3%
Other 12 11%
Unknown 23 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 69. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 July 2019.
All research outputs
#624,959
of 25,562,515 outputs
Outputs from Nature Ecology & Evolution
#1,006
of 2,173 outputs
Outputs of similar age
#14,364
of 350,951 outputs
Outputs of similar age from Nature Ecology & Evolution
#49
of 92 outputs
Altmetric has tracked 25,562,515 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 148.6. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 350,951 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.