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dc.contributor.authorNa, Huimin
dc.contributor.authorZdraljevic, Stefan
dc.contributor.authorTanny, Robyn E.
dc.contributor.authorWalhout, Albertha J. M.
dc.contributor.authorAndersen, Erik C.
dc.date2022-08-11T08:09:56.000
dc.date.accessioned2022-08-23T16:49:52Z
dc.date.available2022-08-23T16:49:52Z
dc.date.issued2020-08-28
dc.date.submitted2020-09-29
dc.identifier.citation<p>Na H, Zdraljevic S, Tanny RE, Walhout AJM, Andersen EC. Natural variation in a glucuronosyltransferase modulates propionate sensitivity in a C. elegans propionic acidemia model. PLoS Genet. 2020 Aug 28;16(8):e1008984. doi: 10.1371/journal.pgen.1008984. PMID: 32857789; PMCID: PMC7482840. <a href="https://doi.org/10.1371/journal.pgen.1008984">Link to article on publisher's site</a></p>
dc.identifier.issn1553-7390 (Linking)
dc.identifier.doi10.1371/journal.pgen.1008984
dc.identifier.pmid32857789
dc.identifier.urihttp://hdl.handle.net/20.500.14038/41548
dc.description.abstractMutations in human metabolic genes can lead to rare diseases known as inborn errors of human metabolism. For instance, patients with loss-of-function mutations in either subunit of propionyl-CoA carboxylase suffer from propionic acidemia because they cannot catabolize propionate, leading to its harmful accumulation. Both the penetrance and expressivity of metabolic disorders can be modulated by genetic background. However, modifiers of these diseases are difficult to identify because of the lack of statistical power for rare diseases in human genetics. Here, we use a model of propionic acidemia in the nematode Caenorhabditis elegans to identify genetic modifiers of propionate sensitivity. Using genome-wide association (GWA) mapping across wild strains, we identify several genomic regions correlated with reduced propionate sensitivity. We find that natural variation in the putative glucuronosyltransferase GLCT-3, a homolog of human B3GAT, partly explains differences in propionate sensitivity in one of these genomic intervals. We demonstrate that loss-of-function alleles in glct-3 render the animals less sensitive to propionate. Additionally, we find that C. elegans has an expansion of the glct gene family, suggesting that the number of members of this family could influence sensitivity to excess propionate. Our findings demonstrate that natural variation in genes that are not directly associated with propionate breakdown can modulate propionate sensitivity. Our study provides a framework for using C. elegans to characterize the contributions of genetic background in models of human inborn errors in metabolism.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=32857789&dopt=Abstract">Link to Article in PubMed</a></p>
dc.rightsCopyright: © 2020 Na et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPropionates
dc.subjectCaenorhabditis elegans
dc.subjectGenome-wide association studies
dc.subjectQuantitative trait loci
dc.subjectGenomics
dc.subjectChromosome mapping
dc.subjectInborn errors of metabolism
dc.subjectHeredity
dc.subjectBiochemical Phenomena, Metabolism, and Nutrition
dc.subjectCellular and Molecular Physiology
dc.subjectCongenital, Hereditary, and Neonatal Diseases and Abnormalities
dc.subjectEnzymes and Coenzymes
dc.subjectGenetic Phenomena
dc.subjectGenetics and Genomics
dc.subjectNutritional and Metabolic Diseases
dc.subjectSystems and Integrative Physiology
dc.titleNatural variation in a glucuronosyltransferase modulates propionate sensitivity in a C. elegans propionic acidemia model
dc.typeJournal Article
dc.source.journaltitlePLoS genetics
dc.source.volume16
dc.source.issue8
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=5365&amp;context=oapubs&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/oapubs/4338
dc.identifier.contextkey19587007
refterms.dateFOA2022-08-23T16:49:52Z
html.description.abstract<p>Mutations in human metabolic genes can lead to rare diseases known as inborn errors of human metabolism. For instance, patients with loss-of-function mutations in either subunit of propionyl-CoA carboxylase suffer from propionic acidemia because they cannot catabolize propionate, leading to its harmful accumulation. Both the penetrance and expressivity of metabolic disorders can be modulated by genetic background. However, modifiers of these diseases are difficult to identify because of the lack of statistical power for rare diseases in human genetics. Here, we use a model of propionic acidemia in the nematode Caenorhabditis elegans to identify genetic modifiers of propionate sensitivity. Using genome-wide association (GWA) mapping across wild strains, we identify several genomic regions correlated with reduced propionate sensitivity. We find that natural variation in the putative glucuronosyltransferase GLCT-3, a homolog of human B3GAT, partly explains differences in propionate sensitivity in one of these genomic intervals. We demonstrate that loss-of-function alleles in glct-3 render the animals less sensitive to propionate. Additionally, we find that C. elegans has an expansion of the glct gene family, suggesting that the number of members of this family could influence sensitivity to excess propionate. Our findings demonstrate that natural variation in genes that are not directly associated with propionate breakdown can modulate propionate sensitivity. Our study provides a framework for using C. elegans to characterize the contributions of genetic background in models of human inborn errors in metabolism.</p>
dc.identifier.submissionpathoapubs/4338
dc.contributor.departmentProgram in Molecular Medicine
dc.contributor.departmentProgram in Systems Biology
dc.source.pagese1008984


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Copyright: © 2020 Na et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Except where otherwise noted, this item's license is described as Copyright: © 2020 Na et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.