Evidence map›Paper›PMID 23269618›Full record

ArticleMolecular biology reports2013

Genetic diversity and population structure in wild Sichuan rhesus macaques.

Di Yan Li, Huai Liang Xu, Jessica Satkoski Trask, Qing Zhu, An Chun Cheng, David Glenn Smith, Debbie George, Long Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Di Yan LiCollege of Animal Science and Technology, Sichuan Agricultural University, Ya'an 625014, People's Republic of China.
Huai Liang Xu
Jessica Satkoski Trask
Qing Zhu
An Chun Cheng
David Glenn Smith
Debbie George
Long Zhang
Sichuan Agricultural University · CNUniversity of California, Davis · US

Funding

GENETIC MANAGEMENT OF MECAQUES BY DNA RFLP ANALYSISR24RR005090 · NCRR · UNIVERSITY OF CALIFORNIA DAVIS · PI SMITH, DAVID GLENN · 1988 to 2011
$3.7M
Development, Management and Use of a SNP Map for Rhesus MacaqueR24RR025871 · NCRR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SMITH, DAVID GLENN · 2009 to 2011
$1.6M
NCRR NIH HHS R24 RR005090NCRR NIH HHS R24 RR025871NCRR NIH HHS R24RR025871NCRR NIH HHS R24RR05090
6 · The paper itself

Abstract

Because wild rhesus macaque (Macaca mulatta) populations have suffered major declines, there is a growing need to characterize their genetic and population structure in order to protect the genetic integrity of this species. In this study, we genotyped a sample comprising 120 wild rhesus macaques from six sites in Sichuan Province for 30 nuclear microsatellite (STR) loci using an ABI 3130xl genetic analyzer. Bayesian analyses and PCA clearly differentiated monkeys from Heishui from those at other sites. The samples from all six sites exhibited high gene diversity suggesting that the Sichuan wild rhesus macaque populations are not threatened by a lack of genetic diversity. Deviation from Hardy-Weinberg equilibrium was more frequent in the Danba and Heishui populations. This may be due to the more fragmented habitat and less disturbance by humans in this area that foster greater subpopulation structuring than occurs in eastern China. We suggest that this population subdivision is the result of both long-term geographic barriers and human activity.

Indexed as

Genetics, PopulationGenetic VariationAnimalsChinaDNA, MitochondrialHaplotypesHumansMacaca mulattaPhylogenySpecies SpecificityDNA, Mitochondrial

Identifiers

PMID23269618
OpenAlexW2007532691

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.