Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 50

The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.

Microsatellite landscape evolutionary dynamics across 450 million years of vertebrate genome evolution

Adams, Richard H., Blackmon, Heath, Reyes-Velasco, Jacobo, Schield, Drew R., Card, Daren C., Andrew, Audra L., Waynewood, Nyimah, Castoe, Todd A.·2016·Genome

Abstract

The evolutionary dynamics of simple sequence repeats (SSRs or microsatellites) across the vertebrate tree of life remain largely undocumented and poorly understood. In this study, we analyzed patterns of genomic microsatellite abundance and evolution across 71 vertebrate genomes. The highest abundances of microsatellites exist in the genomes of ray-finned fishes, squamate reptiles, and mammals, while crocodilian, turtle, and avian genomes exhibit reduced microsatellite landscapes. We used comparative methods to infer evolutionary rates of change in microsatellite abundance across vertebrates and to highlight particular lineages that have experienced unusually high or low rates of change in genomic microsatellite abundance. Overall, most variation in microsatellite content, abundance, and evolutionary rate is observed among major lineages of reptiles, yet we found that several deeply divergent clades (i.e., squamate reptiles and mammals) contained relatively similar genomic microsatellite compositions. Archosauromorph reptiles (turtles, crocodilians, and birds) exhibit reduced genomic microsatellite content and the slowest rates of microsatellite evolution, in contrast to squamate reptile genomes that have among the highest rates of microsatellite evolution. Substantial branch-specific shifts in SSR content in primates, monotremes, rodents, snakes, and fish are also evident. Collectively, our results support multiple major shifts in microsatellite genomic landscapes among vertebrates.

Overview

Integrity signals

Registry

Crossref · 10.1139/gen-2015-0124

Cites

88 of 88 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 88 references

Research works printed but not linked: 4

  1. Clisson I., 2000, Am. J. Primatol., 50, 205, 10.1002/(SICI)1098-2345(200003)50:3<205::AID-AJP3>3.0.CO;2-Y · DOI
  2. FitzSimmons N.N., 1995, Mol. Biol. Evol., 12, 432
  3. 10.1554/0014-3820(2001)055[1717:MEIVIF]2.0.CO;2 · DOI
  4. 10.1554/05-130.1 · DOI

Cited by

Metadata

Authors
Adams, R. H., Blackmon, H., Reyes-Velasco, J., Schield, D. R., Card, D. C., Andrew, A. L., Waynewood, N., & Castoe, T. A.
Affiliations
  • Department of Biology, 501 S. Nedderman Dr., University of Texas at Arlington, TX 76019, USA.
  • Department of Ecology, Evolution & Behavior, 1987 Upper Buford Cir., University of Minnesota, Saint Paul, MN 55108-6097, USA.
Venue
Genome
Published
2016-05
Volume
59
Issue
5
Pages
295-310
ISSN
  • 0831-2796
  • 1480-3321
Cited by
50
References
88
Language
en
Licence
www.nrcresearchpress.com/page/about/CorporateTextAndDataMining (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.