<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dobon B</submitter><funding>Agencia Estatal de Investigación</funding><funding>Ministerio de Economía, Industria y Competitividad, Gobierno de España</funding><funding>Secretaria d&amp;apos;Universitats i Recerca, Departament d&amp;apos;Economia i Coneixement, Generalitat de Catalunya</funding><funding>Ministerio de Educación, Cultura y Deporte</funding><funding>H2020 LEIT Nanotechnologies</funding><pagination>17</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6724310</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Determining the factors involved in the likelihood of a gene being under adaptive selection is still a challenging goal in Evolutionary Biology. Here, we perform an evolutionary analysis of the human metabolic genes to explore the associations between network structure and the presence and strength of natural selection in the genes whose products are involved in metabolism. Purifying and positive selection are estimated at interspecific (among mammals) and intraspecific (among human populations) levels, and the connections between enzymatic reactions are differentiated between incoming (in-degree) and outgoing (out-degree) links.&lt;h4>Results&lt;/h4>We confirm that purifying selection has been stronger in highly connected genes. Long-term positive selection has targeted poorl</pubmed_abstract><journal>Biology direct</journal><pubmed_title>Gene connectivity and enzyme evolution in the human metabolic network.</pubmed_title><pmcid>PMC6724310</pmcid><funding_grant_id>BFU2016-77961-P</funding_grant_id><funding_grant_id>210491758</funding_grant_id><funding_grant_id>GRC 2017 527 SGR 702</funding_grant_id><funding_grant_id>FPU13/06813</funding_grant_id><funding_grant_id>BIO2015–66960-C3–1-R</funding_grant_id><funding_grant_id>MDM-2014-0370</funding_grant_id><pubmed_authors>Dobon B</pubmed_authors><pubmed_authors>Montanucci L</pubmed_authors><pubmed_authors>Laayouni H</pubmed_authors><pubmed_authors>Pereto J</pubmed_authors><pubmed_authors>Bertranpetit J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Gene connectivity and enzyme evolution in the human metabolic network.</name><description>&lt;h4>Background&lt;/h4>Determining the factors involved in the likelihood of a gene being under adaptive selection is still a challenging goal in Evolutionary Biology. Here, we perform an evolutionary analysis of the human metabolic genes to explore the associations between network structure and the presence and strength of natural selection in the genes whose products are involved in metabolism. Purifying and positive selection are estimated at interspecific (among mammals) and intraspecific (among human populations) levels, and the connections between enzymatic reactions are differentiated between incoming (in-degree) and outgoing (out-degree) links.&lt;h4>Results&lt;/h4>We confirm that purifying selection has been stronger in highly connected genes. Long-term positive selection has targeted poorl</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Sep</publication><modification>2025-04-05T13:19:32.973Z</modification><creation>2019-09-14T07:06:19Z</creation></dates><accession>S-EPMC6724310</accession><cross_references><pubmed>31481097</pubmed><doi>10.1186/s13062-019-0248-7</doi></cross_references></HashMap>