Evidence map›Paper›PMID 29158556›Full record

ArticleNature ecology & evolution2018

Tetrad analysis in plants and fungi finds large differences in gene conversion rates but no GC bias.

Haoxuan Liu, Ju Huang, Xiaoguang Sun, Jing Li, Yingwen Hu, Luyao Yu, Gianni Liti, Dacheng Tian, Laurence D Hurst, Sihai Yang

Open access · greenAbstract read
In one paragraph

Article in Nature ecology & evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

42 citing papers in PubMed, 83 citations in OpenAlex.

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  8. The recombination landscape of introgression in yeast.bioRxiv : the preprint server for biology · 2024
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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

10 authors at 4 institutions in 3 countries.

Haoxuan LiuState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
Ju HuangState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
Xiaoguang SunState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
Jing LiInstitute for Research on Cancer and Aging, Nice (IRCAN), CNRS UMR7284, INSERM U1081, University of Nice Sophia Antipolis, Nice, France.ORCID http://orcid.org/0000-0001-5697-9527
Yingwen HuState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
Luyao YuState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
Gianni LitiInstitute for Research on Cancer and Aging, Nice (IRCAN), CNRS UMR7284, INSERM U1081, University of Nice Sophia Antipolis, Nice, France.ORCID http://orcid.org/0000-0002-2318-0775
Dacheng TianState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
Laurence D HurstThe Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK. bssldh@bath.ac.uk.ORCID http://orcid.org/0000-0002-1002-1054
Sihai YangState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China. sihaiyang@nju.edu.cn.ORCID http://orcid.org/0000-0002-7862-6412
Nanjing University · CNCentre National de la Recherche Scientifique · FRChina Pharmaceutical University · CNUniversity of Bath · GB

Funding

European Research Council 669207
6 · The paper itself

Abstract

GC-favouring gene conversion enables fixation of deleterious alleles, disturbs tests of natural selection and potentially explains both the evolution of recombination as well as the commonly reported intragenomic correlation between G+C content and recombination rate. In addition, gene conversion disturbs linkage disequilibrium, potentially affecting the ability to detect causative variants. However, the importance and generality of these effects is unresolved, not simply because direct analyses are technically challenging but also because previous within- and between-species discrepant results can be hard to appraise owing to methodological differences. Here we report results of methodologically uniform whole-genome sequencing of all tetrad products in Saccharomyces, Neurospora, Chlamydomonas and Arabidopsis. The proportion of polymorphic markers converted varies over three orders of magnitude between species (from 2% of markers converted in yeast to only ~0.005% in the two plants) with at least 87.5% of the variance in per tetrad conversion rates being between species. This is largely due to differences in recombination rate and median tract length. Despite three of the species showing a positive GC-recombination correlation, there is no significant net AT→GC conversion bias in any of the species, despite relatively high resolution in the two taxa (Saccharomyces and Neurospora) with relatively common gene conversion. The absence of a GC bias means that: (1) there should be no presumption that gene conversion is GC biased, or (2) that a GC-recombination correlation necessarily implies biased gene conversion, (3) K

Indexed as

Base CompositionGene ConversionArabidopsisChlamydomonasMeiosisNeurosporaSaccharomycesSpores, FungalWhole Genome Sequencing

Identifiers

PMID29158556
PMCPMC5733138
OpenAlexW2765226046

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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.