Evidence map›Paper›PMID 28489073›Full record

ArticleHeredity2017

Genetic diversity and gene flow decline with elevation in montane mayflies.

N R Polato, M M Gray, B A Gill, C G Becker, K L Casner, A S Flecker, B C Kondratieff, A C Encalada, N L Poff, W C Funk and 1 more

Abstract read
In one paragraph

Article in Heredity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  20. Powerhouses in the cold: mitochondrial function during thermal acclimation in montane mayflies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
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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

11 authors.

N R PolatoDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.
M M GrayDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.
B A GillDepartment of Biology, Colorado State University, Fort Collins, Colorado, USA.
C G BeckerDepartamento de Zoologia, Universidade Estadual Paulista, Rio Claro, Brazil.
K L CasnerDepartment of Biology, Colorado State University, Fort Collins, Colorado, USA.
A S FleckerDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.
B C KondratieffDepartment of Biology, Colorado State University, Fort Collins, Colorado, USA.
A C EncaladaColegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Quito, Ecuador.
N L PoffDepartment of Biology, Colorado State University, Fort Collins, Colorado, USA.
W C FunkDepartment of Biology, Colorado State University, Fort Collins, Colorado, USA.
K R ZamudioDepartment of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Montane environments around the globe are biodiversity 'hotspots' and important reservoirs of genetic diversity. Montane species are also typically more vulnerable to environmental change than their low-elevation counterparts due to restricted ranges and dispersal limitations. Here we focus on two abundant congeneric mayflies (Baetis bicaudatus and B. tricaudatus) from montane streams over an elevation gradient spanning 1400 m. Using single-nucleotide polymorphism genotypes, we measured population diversity and vulnerability in these two species by: (i) describing genetic diversity and population structure across elevation gradients to identify mechanisms underlying diversification; (ii) performing spatially explicit landscape analyses to identify environmental drivers of differentiation; and (iii) identifying outlier loci hypothesized to underlie adaptive divergence. Differences in the extent of population structure in these species were evident depending upon their position along the elevation gradient. Heterozygosity, effective population sizes and gene flow all declined with increasing elevation, resulting in substantial population structure in the higher elevation species (B. bicaudatus). At lower elevations, populations of both species are more genetically similar, indicating ongoing gene flow. Isolation by distance was detected at lower elevations only, whereas landscape barriers better predicted genetic distance at higher elevations. At higher elevations, dispersal was restricted due to landscape effects, resulting in greater population isolation. Our results demonstrate differentiation over small spatial scales along an elevation gradient, and highlight the importance of preserving genetic diversity in more isolated high-elevation populations.

Indexed as

AltitudeGene FlowGenetics, PopulationGenetic VariationAnimalsColoradoEphemeropteraGenotypePolymorphism, Single Nucleotide

Identifiers

PMID28489073
PMCPMC5520546

What OpenQuestion holds

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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.