Evidence map›Paper›PMID 31236247›Full record

ArticleEcology and evolution2019

Comparing Pool-seq, Rapture, and GBS genotyping for inferring weak population structure: The American lobster (

Yann Dorant, Laura Benestan, Quentin Rougemont, Eric Normandeau, Brian Boyle, Rémy Rochette, Louis Bernatchez

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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  4. Sampling strategies for genotyping common bean (Frontiers in plant science · 2024
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  16. A targeted genotyping-by-sequencing tool (Rapture) for genomics-assisted breeding in oat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  17. Review
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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

7 authors.

Yann DorantInstitut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Canada.ORCID https://orcid.org/0000-0002-7295-9398
Laura BenestanInstitut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Canada.
Quentin RougemontInstitut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Canada.ORCID https://orcid.org/0000-0003-2987-3801
Eric NormandeauInstitut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Canada.
Brian BoyleInstitut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Canada.
Rémy RochetteDepartment of Biology University of New Brunswick Saint John Canada.
Louis BernatchezInstitut de Biologie Intégrative et des Systèmes (IBIS) Université Laval Québec Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unraveling genetic population structure is challenging in species potentially characterized by large population size and high dispersal rates, often resulting in weak genetic differentiation. Genotyping a large number of samples can improve the detection of subtle genetic structure, but this may substantially increase sequencing cost and downstream bioinformatics computational time. To overcome this challenge, alternative, cost-effective sequencing approaches, namely Pool-seq and Rapture, have been developed. We empirically measured the power of resolution and congruence of these two methods in documenting weak population structure in nonmodel species with high gene flow comparatively to a conventional genotyping-by-sequencing (GBS) approach. For this, we used the American lobster (

Indexed as

GBSHomarusmarine genomicsPool‐seqpopulation geneticsRapture

Identifiers

PMID31236247
PMCPMC6580275

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.