Evidence map›Paper›PMID 25469172›Full record

ArticleEvolutionary applications2014

Fine-scale genetic correlates to condition and migration in a wild cervid.

Joseph M Northrup, Aaron B A Shafer, Charles R Anderson, David W Coltman, George Wittemyer

Abstract read
In one paragraph

Article in Evolutionary applications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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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

5 authors.

Joseph M NorthrupDepartment of Fish, Wildlife, and Conservation Biology, Colorado State University Fort Collins, CO, USA.
Aaron B A ShaferDepartment of Evolutionary Biology, Evolutionary Biology Centre, Uppsala University Uppsala, Sweden.
Charles R AndersonMammals Research Section, Colorado Parks and Wildlife Grand Junction, CO, USA.
David W ColtmanDepartment of Biological Sciences, University of Alberta Edmonton, AB, Canada.
George WittemyerDepartment of Fish, Wildlife, and Conservation Biology, Colorado State University Fort Collins, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between genetic variation and phenotypic traits is fundamental to the study and management of natural populations. Such relationships often are investigated by assessing correlations between phenotypic traits and heterozygosity or genetic differentiation. Using an extensive data set compiled from free-ranging mule deer (Odocoileus hemionus), we combined genetic and ecological data to (i) examine correlations between genetic differentiation and migration timing, (ii) screen for mitochondrial haplotypes associated with migration timing, and (iii) test whether nuclear heterozygosity was associated with condition. Migration was related to genetic differentiation (more closely related individuals migrated closer in time) and mitochondrial haplogroup. Body fat was related to heterozygosity at two nuclear loci (with antagonistic patterns), one of which is situated near a known fat metabolism gene in mammals. Despite being focused on a widespread panmictic species, these findings revealed a link between genetic variation and important phenotypes at a fine scale. We hypothesize that these correlations are either the result of mixing refugial lineages or differential mitochondrial haplotypes influencing energetics. The maintenance of phenotypic diversity will be critical to enable the potential tracking of changing climatic conditions, and these correlates highlight the need to consider evolutionary mechanisms in management, even in widely distributed panmictic species.

Indexed as

genetic differentiationheterozygosity fitness correlationmigrationmule deermultilocus heterozygosityOdocoileus hemionussingle-locus heterozygositywildlife

Identifiers

PMID25469172
PMCPMC4211723

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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.