Evidence map›Paper›PMID 29176629›Full record

ArticleScientific reports2017

Genomic data reveal a loss of diversity in two species of tuco-tucos (genus Ctenomys) following a volcanic eruption.

Jeremy L Hsu, Jeremy Chase Crawford, Mauro N Tammone, Uma Ramakrishnan, Eileen A Lacey, Elizabeth A Hadly

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 6 institutions in 3 countries.

Jeremy L HsuDepartment of Biology, Stanford University, Stanford, CA, USA. hsu@chapman.edu.
Jeremy Chase CrawfordMuseum of Vertebrate Zoology and Department of Integrative Biology, University of California, Berkeley, CA, USA.
Mauro N TammonePrograma de Estudios Aplicados a la Conservación (CENAC-PNNH, CONICET), Bariloche, Río Negro, Argentina.
Uma RamakrishnanNational Centre for Biological Sciences, Bangalore, India.
Eileen A LaceyMuseum of Vertebrate Zoology and Department of Integrative Biology, University of California, Berkeley, CA, USA.
Elizabeth A HadlyDepartment of Biology, Stanford University, Stanford, CA, USA.
Consejo Nacional de Investigaciones Científicas y Técnicas · ARMuseum of Vertebrate Zoology · USNational Centre for Biological Sciences · INPalo Alto Institute · USStanford University · USUniversity of California, Berkeley · US

Funding

Genome Sequencer FLXS10RR029668 · NCRR · UNIVERSITY OF CALIFORNIA BERKELEY · PI NGAI, JOHN J. · 2010 to 2010
$623k
Illumina Sequencer to Facilitate Functional Genomics at BerkeleyS10RR027303 · NCRR · UNIVERSITY OF CALIFORNIA BERKELEY · PI TAYLOR, JOHN W. · 2010 to 2010
$500k
NCRR NIH HHS S10 RR027303NCRR NIH HHS S10 RR029668
6 · The paper itself

Abstract

Marked reductions in population size can trigger corresponding declines in genetic variation. Understanding the precise genetic consequences of such reductions, however, is often challenging due to the absence of robust pre- and post-reduction datasets. Here, we use heterochronous genomic data from samples obtained before and immediately after the 2011 eruption of the Puyehue-Cordón Caulle volcanic complex in Patagonia to explore the genetic impacts of this event on two parapatric species of rodents, the colonial tuco-tuco (Ctenomys sociabilis) and the Patagonian tuco-tuco (C. haigi). Previous analyses using microsatellites revealed no post-eruption changes in genetic variation in C. haigi, but an unexpected increase in variation in C. sociabilis. To explore this outcome further, we used targeted gene capture to sequence over 2,000 putatively neutral regions for both species. Our data revealed that, contrary to the microsatellite analyses, the eruption was associated with a small but significant decrease in genetic variation in both species. We suggest that genome-level analyses provide greater power than traditional molecular markers to detect the genetic consequences of population size changes, particularly changes that are recent, short-term, or modest in size. Consequently, genomic analyses promise to generate important new insights into the effects of specific environmental events on demography and genetic variation.

Indexed as

Polymorphism, GeneticVolcanic EruptionsAnimalsRodentia

Identifiers

PMID29176629
PMCPMC5701162
OpenAlexW2770693626

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.