Evidence map›Paper›PMID 30866929›Full record

ArticleBMC biology2019

A multi-parent recombinant inbred line population of C. elegans allows identification of novel QTLs for complex life history traits.

Basten L Snoek, Rita J M Volkers, Harm Nijveen, Carola Petersen, Philipp Dirksen, Mark G Sterken, Rania Nakad, Joost A G Riksen, Philip Rosenstiel, Jana J Stastna and 4 more

Abstract read
In one paragraph

Article in BMC biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. bioRxiv : the preprint server for biology · 2026
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  5. Conservative evolution of genetic and genomic features inbioRxiv : the preprint server for biology · 2025
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  11. Plasticity of maternal environment-dependent expression-QTLs of tomato seeds.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
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  14. Review
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  16. Review
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  18. Frontiers in plant science · 2021
    Article
  19. Genetic Variation inMicroorganisms · 2020
    Review
  20. WormQTL2: an interactive platform for systems genetics in Caenorhabditis elegans.Database : the journal of biological databases and curation · 2020
    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

14 authors.

Basten L SnoekLaboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands. l.b.snoek@uu.nl.ORCID 0000-0001-5321-2996
Rita J M VolkersLaboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands.
Harm NijveenBioinformatics Group, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands.
Carola PetersenZoological Institute, University of Kiel, 24098, Kiel, Germany.
Philipp DirksenZoological Institute, University of Kiel, 24098, Kiel, Germany.
Mark G SterkenLaboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands.
Rania NakadZoological Institute, University of Kiel, 24098, Kiel, Germany.
Joost A G RiksenLaboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands.
Philip RosenstielInstitute for Clinical Molecular Biology, University of Kiel, 24098, Kiel, Germany.
Jana J StastnaBiomolecular Research Group, School of Human and Life Sciences, Canterbury Christ Church University, North Holmes Road, Canterbury, CT1 1QU, UK.
Bart P BraeckmanDepartment of Biology, Ghent University, K. L. Ledeganckstraat 35, B-9000, Ghent, Belgium.
Simon C HarveyBiomolecular Research Group, School of Human and Life Sciences, Canterbury Christ Church University, North Holmes Road, Canterbury, CT1 1QU, UK.
Hinrich SchulenburgZoological Institute, University of Kiel, 24098, Kiel, Germany. hschulenburg@zoologie.uni-kiel.de.
Jan E KammengaLaboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB, Wageningen, The Netherlands. jan.kammenga@wur.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe nematode Caenorhabditis elegans has been extensively used to explore the relationships between complex traits, genotypes, and environments. Complex traits can vary across different genotypes of a species, and the genetic regulators of trait variation can be mapped on the genome using quantitative trait locus (QTL) analysis of recombinant inbred lines (RILs) derived from genetically and phenotypically divergent parents. Most RILs have been derived from crossing two parents from globally distant locations. However, the genetic diversity between local C. elegans populations can be as diverse as between global populations and could thus provide means of identifying genetic variation associated with complex traits relevant on a broader scale.

resultsTo investigate the effect of local genetic variation on heritable traits, we developed a new RIL population derived from 4 parental wild isolates collected from 2 closely located sites in France: Orsay and Santeuil. We crossed these 4 genetically diverse parental isolates to generate a population of 200 multi-parental RILs and used RNA-seq to obtain sequence polymorphisms identifying almost 9000 SNPs variable between the 4 genotypes with an average spacing of 11 kb, doubling the mapping resolution relative to currently available RIL panels for many loci. The SNPs were used to construct a genetic map to facilitate QTL analysis. We measured life history traits such as lifespan, stress resistance, developmental speed, and population growth in different environments, and found substantial variation for most traits. We detected multiple QTLs for most traits, including novel QTLs not found in previous QTL analysis, including those for lifespan and pathogen responses. This shows that recombining genetic variation across C. elegans populations that are in geographical close proximity provides ample variation for QTL mapping.

conclusionTaken together, we show that using more parents than the classical two parental genotypes to construct a RIL population facilitates the detection of QTLs and that the use of wild isolates facilitates the detection of QTLs. The use of multi-parent RIL populations can further enhance our understanding of local adaptation and life history trade-offs.

Indexed as

Life History TraitsQuantitative Trait LociAnimalsCaenorhabditis elegansChromosome MappingGenetic LinkageGenotypeOrganisms, Genetically ModifiedC. elegansGenetic mapLife-historyMulti-parent RILsNatural variationQTL

Identifiers

PMID30866929
PMCPMC6417139

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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.