Evidence map›Paper›PMID 31346426›Full record

ArticleEcology and evolution2019

Genetic analysis suggests extensive gene flow within and between catchments in a common and ecologically significant dryland river shrub species;

Bruce Murray, Michael Reid, Samantha Capon, Shu-Biao Wu

Abstract read
In one paragraph

Article in Ecology and evolution, 2019. 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
–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

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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.

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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

4 authors.

Bruce MurrayGeography and Planning, Faculty of Humanities Arts and Social Sciences University of New England Armidale New South Wales Australia.ORCID https://orcid.org/0000-0002-4035-6197
Michael ReidGeography and Planning, Faculty of Humanities Arts and Social Sciences University of New England Armidale New South Wales Australia.ORCID https://orcid.org/0000-0002-3948-9347
Samantha CaponAustralian Rivers Institute Griffith University Nathan Queensland Australia.ORCID https://orcid.org/0000-0002-1975-553X
Shu-Biao WuSchool of Environmental and Rural Science University of New England Armidale New South Wales Australia.ORCID https://orcid.org/0000-0002-1790-6015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe conservation of plant species biodiversity has been identified as a crucial factor for the resilience of dryland ecosystems in the face of climate change and desertification. LOCATION: Northern Murray-Darling Basin, eastern Australia.

methodsA total of 122 individual plants from subpopulations located on rivers in four adjacent catchments were genotyped using 10 microsatellite markers. Microsatellite data were then analyzed using population genetic techniques to evaluate levels of gene flow and genetic structure and identify factors influencing dispersal.

resultsResults suggest high levels of gene flow between lignum subpopulations of the northern Murray-Darling Basin. AMOVA revealed small but significant differences between subpopulations, and STRUCTURE analysis did not detect meaningful structure when sampling information was not provided. However, when sampling information was supplied using the LOCPRIOR model, three genetic clusters were identified. All Lower Balonne subpopulations were assigned to cluster 1 while a number of the other subpopulations showed mixed ancestry. Weak relationships were identified between pairwise genetic distance and geographic as well as river distance, although the MAIN

conclusionsPatterns of genetic variation suggest frequent long-distance overland gene flow largely as a result of the movement of seeds via floodwater. Therefore, maintenance of natural variability in flow regime is key both to maintain conditions favorable to recruitment and to promote dispersal and gene flow across the landscape. However, given future climate change projections persistence may be more reliant on the species ability to endure long periods of drought between flood events.

Indexed as

dispersaldryland riversDuma florulentagene flowgenetic structurekeystone speciesmicrosatellitesriparian vegetation

Identifiers

PMID31346426
PMCPMC6635937

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