Evidence map›Paper›PMID 21295484›Full record

ArticleCurrent biology : CB2011

High spontaneous rate of gene duplication in Caenorhabditis elegans.

Kendra J Lipinski, James C Farslow, Kelly A Fitzpatrick, Michael Lynch, Vaishali Katju, Ulfar Bergthorsson

Abstract read
In one paragraph

Article in Current biology : CB, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Article
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  10. Pangenomic analysis ofFrontiers in microbiology · 2023
    Article
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  15. Article
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  17. Review
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15 more citing papers are in PubMed but not listed here.

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

6 authors.

Kendra J LipinskiDepartment of Biology, University of New Mexico, Albuquerque, NM 87131, USA.
James C Farslow
Kelly A Fitzpatrick
Michael Lynch
Vaishali Katju
Ulfar Bergthorsson

Funding

UNM COBRE: THEORETICAL STUDY OF SPECIFICITY OF RNA SILENCING MECHANISMP20RR018754 · NCRR · UNIVERSITY OF NEW MEXICO · PI LOKER, ERIC SAMUEL · 2003 to 2011
$16.7M
The Rate and Molecular Spectrum of Spontaneous MutationsR01GM036827 · NIGMS · UNIVERSITY OF OREGON · PI LYNCH, MICHAEL R · 1988 to 2016
$5.7M
NCRR NIH HHS P20 RR018754NCRR NIH HHS P20-RR18754NIGMS NIH HHS R01 GM036827NIGMS NIH HHS R01-GM036827
6 · The paper itself

Abstract

Gene and genome duplications are the primary source of new genes and novel functions and have played a pivotal role in the evolution of genomic and organismal complexity. The spontaneous rate of gene duplication is a critical parameter for understanding the evolutionary dynamics of gene duplicates; yet few direct empirical estimates exist and differ widely. The presence of a large population of recently derived gene duplicates in sequenced genomes suggests a high rate of spontaneous origin, also evidenced by population genomic studies reporting rampant copy-number polymorphism at the intraspecific level. An analysis of long-term mutation accumulation lines of Caenorhabditis elegans for gene copy-number changes with array comparative genomic hybridization yields the first direct estimate of the genome-wide rate of gene duplication in a multicellular eukaryote. The gene duplication rate in C. elegans is quite high, on the order of 10(-7) duplications/gene/generation. This rate is two orders of magnitude greater than the spontaneous rate of point mutation per nucleotide site in this species and also greatly exceeds an earlier estimate derived from the frequency distribution of extant gene duplicates in the sequenced C. elegans genome.

Indexed as

AnimalsBiological EvolutionCaenorhabditis elegansChromosome MappingGene DeletionGene DuplicationGene Expression RegulationGenes, Duplicate

Identifiers

PMID21295484
PMCPMC3056611

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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.