Evidence map›Paper›PMID 27099621›Full record

ArticleEvolutionary applications2016

Population genomics of the Anthropocene: urbanization is negatively associated with genome-wide variation in white-footed mouse populations.

Jason Munshi-South, Christine P Zolnik, Stephen E Harris

Abstract read
In one paragraph

Article in Evolutionary applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Cities of the Anthropocene: urban sustainability in an eco-evolutionary perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Land use as an effective factor on the occurrence of chromosomal diseases in Brazil.International journal of molecular epidemiology and genetics · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

3 authors.

Jason Munshi-SouthDepartment of Biological Sciences and the Louis Calder Center-Biological Field Station Fordham University Armonk NY USA.
Christine P ZolnikDepartment of Biological Sciences and the Louis Calder Center-Biological Field Station Fordham University Armonk NY USA.
Stephen E HarrisPh.D. Program in Ecology Evolutionary Biology and Behavior the Graduate Center of the City University of New York New York NY USA.

Funding

Adaptive Evolutionary Responses of White-footed Mice (Peromyscus leucopus) to UrbR15GM099055 · NIGMS · FORDHAM UNIVERSITY · PI MUNSHI-SOUTH, JASON · 2012 to 2012
$293k
NIGMS NIH HHS R15 GM099055
6 · The paper itself

Abstract

Urbanization results in pervasive habitat fragmentation and reduces standing genetic variation through bottlenecks and drift. Loss of genomewide variation may ultimately reduce the evolutionary potential of animal populations experiencing rapidly changing conditions. In this study, we examined genomewide variation among 23 white-footed mouse (Peromyscus leucopus) populations sampled along an urbanization gradient in the New York City metropolitan area. Genomewide variation was estimated as a proxy for evolutionary potential using more than 10 000 single nucleotide polymorphism (SNP) markers generated by ddRAD-Seq. We found that genomewide variation is inversely related to urbanization as measured by percent impervious surface cover, and to a lesser extent, human population density. We also report that urbanization results in enhanced genomewide differentiation between populations in cities. There was no pattern of isolation by distance among these populations, but an isolation by resistance model based on impervious surface significantly explained patterns of genetic differentiation. Isolation by environment modeling also indicated that urban populations deviate much more strongly from global allele frequencies than suburban or rural populations. This study is the first to examine loss of genomewide SNP variation along an urban-to-rural gradient and quantify urbanization as a driver of population genomic patterns.

Indexed as

ddRADSeqlandscape geneticsPeromyscuspopulation genomicsrapid evolutionsingle nucleotide polymorphismurbanization

Identifiers

PMID27099621
PMCPMC4831458

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.