Evidence map›Paper›PMID 30891252›Full record

ArticleRoyal Society open science2019

Towards population genomics in non-model species with large genomes: a case study of the marine zooplankton

Marvin Choquet, Irina Smolina, Anusha K S Dhanasiri, Leocadio Blanco-Bercial, Martina Kopp, Alexander Jueterbock, Arvind Y M Sundaram, Galice Hoarau

Abstract read
In one paragraph

Article in Royal Society open science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Generalizing Bayesian phylogenetics to infer shared evolutionary events.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
  7. Pseudoreplication in genomic-scale data sets.Molecular ecology resources · 2022
    Article
  8. Article
  9. Insights into the species evolution ofEcology and evolution · 2022
    Article
  10. Article
  11. Article
  12. Oceanic dispersal barriers in a holoplanktonic gastropod.Journal of evolutionary biology · 2021
    Article
  13. Article
  14. Article
  15. Article
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

8 authors.

Marvin ChoquetFaculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.ORCID 0000-0001-6719-2332
Irina SmolinaFaculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.ORCID 0000-0002-0205-7663
Anusha K S DhanasiriFaculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.
Leocadio Blanco-BercialBermuda Institute of Ocean Sciences, St George's, Bermuda.ORCID 0000-0003-0658-7183
Martina KoppFaculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.
Alexander JueterbockFaculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.ORCID 0000-0002-0659-3172
Arvind Y M SundaramNorwegian Sequencing Centre, Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.
Galice HoarauFaculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in next-generation sequencing technologies and the development of genome-reduced representation protocols have opened the way to genome-wide population studies in non-model species. However, species with large genomes remain challenging, hampering the development of genomic resources for a number of taxa including marine arthropods. Here, we developed a genome-reduced representation method for the ecologically important marine copepod

Indexed as

Calanus spp.genome reduced-representationsequence capture enrichment

Identifiers

PMID30891252
PMCPMC6408391

What OpenQuestion holds

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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.