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AuthorGillingham, Mark A. F.dc.contributor.author
AuthorMontero, B. Karinadc.contributor.author
AuthorWihelm, Kerstindc.contributor.author
AuthorGrudzus, Karadc.contributor.author
AuthorSommer, Simonedc.contributor.author
AuthorSantos, Pablo S. C.dc.contributor.author
Date of accession2022-11-28T10:53:43Zdc.date.accessioned
Available in OPARU since2022-11-28T10:53:43Zdc.date.available
Date of first publication2020-11-21dc.date.issued
AbstractAbstract Genotyping complex multigene families in novel systems is particularly challenging. Target primers frequently amplify simultaneously multiple loci leading to high PCR and sequencing artefacts such as chimeras and allele amplification bias. Most genotyping pipelines have been validated in nonmodel systems whereby the real genotype is unknown and the generation of artefacts may be highly repeatable. Further hindering accurate genotyping, the relationship between artefacts and genotype complexity (i.e. number of alleles per genotype) within a PCR remains poorly described. Here, we investigated the latter by experimentally combining multiple known major histocompatibility complex (MHC) haplotypes of a model organism (chicken, Gallus gallus, 43 artificial genotypes with 2–13 alleles per amplicon). In addition to well‐defined ‘optimal’ primers, we simulated a nonmodel species situation by designing ‘cross‐species’ primers based on sequence data from closely related Galliform species. We applied a novel open‐source genotyping pipeline (ACACIA; https://gitlab.com/psc_santos/ACACIA), and compared its performance with another, previously published pipeline (AmpliSAS). Allele calling accuracy was higher when using ACACIA (98.5% versus 97% and 77.8% versus 75% for the ‘optimal’ and ‘cross‐species’ data sets, respectively). Systematic allele dropout of three alleles owing to primer mismatch in the ‘cross‐species’ data set explained high allele calling repeatability (100% when using ACACIA) despite low accuracy, demonstrating that repeatability can be misleading when evaluating genotyping workflows. Genotype complexity was positively associated with nonchimeric artefacts, chimeric artefacts (nonlinearly by levelling when amplifying more than 4–6 alleles) and allele amplification bias. Our study exemplifies and demonstrates pitfalls researchers should avoid to reliably genotype complex multigene families.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseCC BY 4.0 Internationaldc.rights
Link to license texthttps://creativecommons.org/licenses/by/4.0/dc.rights.uri
Keywordallele dropoutdc.subject
Keywordamplicon genotypingdc.subject
Keywordhigh‐throughput sequencingdc.subject
Keywordmultigene familydc.subject
Keywordopen‐source genotyping pipelinedc.subject
KeywordPCR amplification biasdc.subject
Keywordsequencing biasdc.subject
Dewey Decimal GroupDDC 570 / Life sciencesdc.subject.ddc
LCSHAcàciadc.subject.lcsh
TitleA novel workflow to improve genotyping of multigene families in wildlife species: an experimental set‐up with a known model systemdc.title
Resource typeWissenschaftlicher Artikeldc.type
SWORD Date2021-02-15T12:01:48Zdc.date.updated
VersionpublishedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-46141dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-46217-0dc.identifier.urn
GNDMHCdc.subject.gnd
FacultyFakultät für Naturwissenschaftenuulm.affiliationGeneral
InstitutionInstitut für Evolutionsökologie und Naturschutzgenomikuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
DOI of original publication10.1111/1755-0998.13290dc.relation1.doi
Source - Title of sourceMolecular Ecology Resourcessource.title
Source - Place of publicationWileysource.publisher
Source - Volume21source.volume
Source - Issue3source.issue
Source - Year2020source.year
Source - From page982source.fromPage
Source - To page998source.toPage
Source - ISSN1755-098Xsource.identifier.issn
Source - eISSN1755-0998source.identifier.eissn
Bibliographyuulmuulm.bibliographie
Is Supplemented Byhttps://figshare.com/projects/ACACIA/66485dc.relation.isSupplementedBy
Is Supplemented Byhttps://gitlab.com/psc_santos/ACACIAdc.relation.isSupplementedBy
Is Supplemented Byhttps://gitlab.com/psc_santos/ACACIA/-/tags/V1.0dc.relation.isSupplementedBy
Is Supplemented Byhttps://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1755-0998.13290&file=men13290-sup-0001-supinfo.docxdc.relation.isSupplementedBy


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