Ontology type: schema:ScholarlyArticle Open Access: True
2018-01
AUTHORSHaoxuan Liu, Ju Huang, Xiaoguang Sun, Jing Li, Yingwen Hu, Luyao Yu, Gianni Liti, Dacheng Tian, Laurence D. Hurst, Sihai Yang
ABSTRACTGC-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 a/K s tests should be unaffected in these species and (4) it is unlikely that gene conversion explains the evolution of recombination. More... »
PAGES164-173
http://scigraph.springernature.com/pub.10.1038/s41559-017-0372-7
DOIhttp://dx.doi.org/10.1038/s41559-017-0372-7
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1092756120
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/29158556
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Genetics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Arabidopsis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Base Composition",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Chlamydomonas",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Gene Conversion",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Meiosis",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Neurospora",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Saccharomyces",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Spores, Fungal",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Whole Genome Sequencing",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China"
],
"type": "Organization"
},
"familyName": "Liu",
"givenName": "Haoxuan",
"id": "sg:person.01275150401.12",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01275150401.12"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China"
],
"type": "Organization"
},
"familyName": "Huang",
"givenName": "Ju",
"id": "sg:person.0606152261.05",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606152261.05"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China"
],
"type": "Organization"
},
"familyName": "Sun",
"givenName": "Xiaoguang",
"id": "sg:person.01260003715.07",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260003715.07"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nice Sophia Antipolis University",
"id": "https://www.grid.ac/institutes/grid.10737.32",
"name": [
"Institute for Research on Cancer and Aging, Nice (IRCAN), CNRS UMR7284, INSERM U1081, University of Nice Sophia Antipolis, Nice, France"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Jing",
"id": "sg:person.01005604150.07",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005604150.07"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China"
],
"type": "Organization"
},
"familyName": "Hu",
"givenName": "Yingwen",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China"
],
"type": "Organization"
},
"familyName": "Yu",
"givenName": "Luyao",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nice Sophia Antipolis University",
"id": "https://www.grid.ac/institutes/grid.10737.32",
"name": [
"Institute for Research on Cancer and Aging, Nice (IRCAN), CNRS UMR7284, INSERM U1081, University of Nice Sophia Antipolis, Nice, France"
],
"type": "Organization"
},
"familyName": "Liti",
"givenName": "Gianni",
"id": "sg:person.01140234414.73",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01140234414.73"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China"
],
"type": "Organization"
},
"familyName": "Tian",
"givenName": "Dacheng",
"id": "sg:person.0776303701.43",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776303701.43"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Bath",
"id": "https://www.grid.ac/institutes/grid.7340.0",
"name": [
"The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK"
],
"type": "Organization"
},
"familyName": "Hurst",
"givenName": "Laurence D.",
"id": "sg:person.01317740641.96",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317740641.96"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Nanjing University",
"id": "https://www.grid.ac/institutes/grid.41156.37",
"name": [
"State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China"
],
"type": "Organization"
},
"familyName": "Yang",
"givenName": "Sihai",
"id": "sg:person.01323715325.96",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323715325.96"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1371/journal.pgen.1005189",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000706742"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg761",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001449759",
"https://doi.org/10.1038/nrg761"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg761",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001449759",
"https://doi.org/10.1038/nrg761"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/gb-2004-5-7-r45",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005662809",
"https://doi.org/10.1186/gb-2004-5-7-r45"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tig.2008.10.011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005873881"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.109.105049",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008696227"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1534/genetics.109.105049",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008696227"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1004106",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009676932"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rspb.1993.0071",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010389589"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/35072078",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010639988",
"https://doi.org/10.1038/35072078"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/35072078",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010639988",
"https://doi.org/10.1038/35072078"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/hmg/ddi232",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011631367"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng0204-114",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012941774",
"https://doi.org/10.1038/ng0204-114"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng0204-114",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012941774",
"https://doi.org/10.1038/ng0204-114"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1003538",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013051992"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1000661",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013705928"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg1947",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014726283",
"https://doi.org/10.1038/nrg1947"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg1947",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014726283",
"https://doi.org/10.1038/nrg1947"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1242/jcs.004945",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1014985358"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1003932",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017647395"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature14649",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018240475",
"https://doi.org/10.1038/nature14649"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1004941",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018279875"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s002510050593",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018541606",
"https://doi.org/10.1007/s002510050593"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/mst056",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019652690"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1067799",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021591890"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s13059-014-0566-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022128970",
"https://doi.org/10.1186/s13059-014-0566-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s13059-014-0566-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022128970",
"https://doi.org/10.1186/s13059-014-0566-0"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.41.4.215",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024870856"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1006044",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024960861"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s13059-014-0549-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025641370",
"https://doi.org/10.1186/s13059-014-0549-1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s13059-014-0549-1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025641370",
"https://doi.org/10.1186/s13059-014-0549-1"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gad.9.21.2684",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025938336"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0960-9822(94)00045-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026901286"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev-genom-082908-150001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026989609"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng.3306",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027402866",
"https://doi.org/10.1038/ng.3306"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.7554/elife.04637",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028299490"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/oxfordjournals.molbev.a004176",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028648806"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/gbe/evs052",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028966430"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0912629107",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028999865"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-59745-527-5_1",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030109212",
"https://doi.org/10.1007/978-1-59745-527-5_1"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng1287",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032060880",
"https://doi.org/10.1038/ng1287"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng1287",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032060880",
"https://doi.org/10.1038/ng1287"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gr.107524.110",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032096953"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msi241",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032174274"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0092-8674(01)00416-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033658057"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.44.5.378",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035210956"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.molcel.2008.07.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035553481"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1001115",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036492671"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1000186",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037098772"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/bioinformatics/btp324",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038266369"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pgen.1002905",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042507593"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1371/journal.pbio.1000026",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042561829"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg2712",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042715454",
"https://doi.org/10.1038/nrg2712"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nrg2712",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042715454",
"https://doi.org/10.1038/nrg2712"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ncb2451",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043828862",
"https://doi.org/10.1038/ncb2451"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0908774107",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044757318"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng.3068",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045382099",
"https://doi.org/10.1038/ng.3068"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cell.2012.06.030",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046158343"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature07135",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047460817",
"https://doi.org/10.1038/nature07135"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/mst220",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048632371"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10577-007-1140-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050010730",
"https://doi.org/10.1007/s10577-007-1140-3"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.97.21.11383",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050209233"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.7554/elife.01426",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051016892"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng.3669",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052228744",
"https://doi.org/10.1038/ng.3669"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cell.2007.05.035",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053658022"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s001667230002454x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053910657"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1017/s001667230002454x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1053910657"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/280418",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058590541"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/323251",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058624086"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/340734",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058638745"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/427268",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058715102"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msw226",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1059923331"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.121.3147.605",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062465287"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3791/1274",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071422247"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1075216825",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/molbev/msx189",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1090537154"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-01",
"datePublishedReg": "2018-01-01",
"description": "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\u2192GC 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 a/K s tests should be unaffected in these species and (4) it is unlikely that gene conversion explains the evolution of recombination.",
"genre": "research_article",
"id": "sg:pub.10.1038/s41559-017-0372-7",
"inLanguage": [
"en"
],
"isAccessibleForFree": true,
"isFundedItemOf": [
{
"id": "sg:grant.5050656",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1284474",
"issn": [
"2397-334X"
],
"name": "Nature Ecology & Evolution",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "2"
}
],
"name": "Tetrad analysis in plants and fungi finds large differences in gene conversion rates but no GC bias",
"pagination": "164-173",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"cd27f4586ee6e4cea3f55acb1970b829cd831883735b993e45581445cc3355d7"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"29158556"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101698577"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1038/s41559-017-0372-7"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1092756120"
]
}
],
"sameAs": [
"https://doi.org/10.1038/s41559-017-0372-7",
"https://app.dimensions.ai/details/publication/pub.1092756120"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T19:04",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8678_00000493.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41559-017-0372-7"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41559-017-0372-7'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41559-017-0372-7'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41559-017-0372-7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41559-017-0372-7'
This table displays all metadata directly associated to this object as RDF triples.
388 TRIPLES
21 PREDICATES
104 URIs
30 LITERALS
18 BLANK NODES