Knorr, Christophe

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Falker-Gieske, Clemens"],["dc.contributor.author","Knorr, Christoph"],["dc.contributor.author","Tetens, Jens"],["dc.date.accessioned","2020-12-10T18:11:09Z"],["dc.date.available","2020-12-10T18:11:09Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1038/s41598-019-53901-z"],["dc.identifier.eissn","2045-2322"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16737"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73908"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Blood transcriptome analysis in a buck-ewe hybrid and its parents"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","54"],["dc.bibliographiccitation.journal","BMC Genetics"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Chen, K. F."],["dc.contributor.author","Knorr, C."],["dc.contributor.author","Bornemann-Kolatzki, K."],["dc.contributor.author","Ren, Jun"],["dc.contributor.author","Huang, L. S."],["dc.contributor.author","Rohrer, G. A."],["dc.contributor.author","Brenig, Bertram"],["dc.date.accessioned","2018-11-07T10:54:16Z"],["dc.date.available","2018-11-07T10:54:16Z"],["dc.date.issued","2005"],["dc.description.abstract","Background: In the last few years, microsatellites have become the most popular molecular marker system and have intensively been applied in genome mapping, biodiversity and phylogeny studies of livestock. Compared to single nucleotide polymorphism (SNP) as another popular marker system, microsatellites reveal obvious advantages. They are multi-allelic, possibly more polymorphic and cheaper to genotype. Calculations showed that a multi-allelic marker system always has more power to detect Linkage Disequilibrium (LD) than does a di-allelic marker system [1]. Traditional isolation methods using partial genomic libraries are time-consuming and cost-intensive. In order to directly generate microsatellites from large-insert libraries a sequencing approach with repeat-containing oligonucleotides is introduced. Results: Seventeen porcine microsatellite markers were isolated from eleven PAC clones by targeted oligonucleotide-mediated microsatellite identification (TOMMI), an improved efficient and rapid flanking sequence-based approach for the isolation of STS-markers. With the application of TOMMI, an average of 1.55 (CA/GT) microsatellites per PAC clone was identified. The number of alleles, allele size distribution, polymorphism information content (PIC), average heterozygosity (H-T), and effective allele number (N-E) for the STS-markers were calculated using a sampling of 336 unrelated animals representing fifteen pig breeds (nine European and six Chinese breeds). Sixteen of the microsatellite markers proved to be polymorphic (2 to 22 alleles) in this heterogeneous sampling. Most of the publicly available (porcine) microsatellite amplicons range from approximately 80 bp to 200 bp. Here, we attempted to utilize as much sequence information as possible to develop STS-markers with larger amplicons. Indeed, fourteen of the seventeen STS-marker amplicons have minimal allele sizes of at least 200 bp. Thus, most of the generated STS-markers can easily be integrated into multilocus assays covering a broader separation spectrum. Linkage mapping results of the markers indicate their potential immediate use in QTL studies to further dissect trait associated chromosomal regions. Conclusion: The sequencing strategy described in this study provides a targeted, inexpensive and fast method to develop microsatellites from large-insert libraries. It is well suited to generate polymorphic markers for selected chromosomal regions, contigs of overlapping clones and yields sufficient high quality sequence data to develop amplicons greater than 250 bases."],["dc.identifier.doi","10.1186/1471-2156-6-54"],["dc.identifier.isi","000233969100001"],["dc.identifier.pmid","16287508"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/4425"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/49528"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Biomed Central Ltd"],["dc.relation.issn","1471-2156"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Targeted oligonucleotide-mediated microsatellite identification (TOMMI) from large-insert library clones"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","71"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Genetics Selection Evolution"],["dc.bibliographiccitation.volume","49"],["dc.contributor.author","Yang, Bin"],["dc.contributor.author","Cui, Leilei"],["dc.contributor.author","Perez-Enciso, Miguel"],["dc.contributor.author","Traspov, Aleksei"],["dc.contributor.author","Crooijmans, Richard P. M. A."],["dc.contributor.author","Zinovieva, Natalia"],["dc.contributor.author","Schook, Lawrence B."],["dc.contributor.author","Archibald, Alan"],["dc.contributor.author","Gatphayak, Kesinee"],["dc.contributor.author","Knorr, Christophe"],["dc.contributor.author","Triantafyllidis, Alex"],["dc.contributor.author","Alexandri, Panoraia"],["dc.contributor.author","Semiadi, Gono"],["dc.contributor.author","Hanotte, Olivier"],["dc.contributor.author","Dias, Deodália"],["dc.contributor.author","Dovč, Peter"],["dc.contributor.author","Uimari, Pekka"],["dc.contributor.author","Iacolina, Laura"],["dc.contributor.author","Scandura, Massimo"],["dc.contributor.author","Groenen, Martien A. M."],["dc.contributor.author","Huang, Lusheng"],["dc.contributor.author","Megens, Hendrik-Jan"],["dc.date.accessioned","2020-12-10T18:38:50Z"],["dc.date.available","2020-12-10T18:38:50Z"],["dc.date.issued","2017"],["dc.description.abstract","Abstract Background Pigs were domesticated independently in Eastern and Western Eurasia early during the agricultural revolution, and have since been transported and traded across the globe. Here, we present a worldwide survey on 60K genome-wide single nucleotide polymorphism (SNP) data for 2093 pigs, including 1839 domestic pigs representing 122 local and commercial breeds, 215 wild boars, and 39 out-group suids, from Asia, Europe, America, Oceania and Africa. The aim of this study was to infer global patterns in pig domestication and diversity related to demography, migration, and selection. Results A deep phylogeographic division reflects the dichotomy between early domestication centers. In the core Eastern and Western domestication regions, Chinese pigs show differentiation between breeds due to geographic isolation, whereas this is less pronounced in European pigs. The inferred European origin of pigs in the Americas, Africa, and Australia reflects European expansion during the sixteenth to nineteenth centuries. Human-mediated introgression, which is due, in particular, to importing Chinese pigs into the UK during the eighteenth and nineteenth centuries, played an important role in the formation of modern pig breeds. Inbreeding levels vary markedly between populations, from almost no runs of homozygosity (ROH) in a number of Asian wild boar populations, to up to 20% of the genome covered by ROH in a number of Southern European breeds. Commercial populations show moderate ROH statistics. For domesticated pigs and wild boars in Asia and Europe, we identified highly differentiated loci that include candidate genes related to muscle and body development, central nervous system, reproduction, and energy balance, which are putatively under artificial selection. Conclusions Key events related to domestication, dispersal, and mixing of pigs from different regions are reflected in the 60K SNP data, including the globalization that has recently become full circle since Chinese pig breeders in the past decades started selecting Western breeds to improve local Chinese pigs. Furthermore, signatures of ongoing and past selection, acting at different times and on different genetic backgrounds, enhance our insight in the mechanism of domestication and selection. The global diversity statistics presented here highlight concerns for maintaining agrodiversity, but also provide a necessary framework for directing genetic conservation."],["dc.identifier.doi","10.1186/s12711-017-0345-y"],["dc.identifier.eissn","1297-9686"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15167"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/77448"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","BioMed Central"],["dc.relation.haserratum","/handle/2/81577"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Genome-wide SNP data unveils the globalization of domesticated pigs"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","247"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Sexual development : genetics, molecular biology, evolution, endocrinology, embryology, and pathology of sex determination and differentiation"],["dc.bibliographiccitation.lastpage","256"],["dc.bibliographiccitation.volume","6"],["dc.contributor.author","Lühmann, L. M."],["dc.contributor.author","Knorr, C."],["dc.contributor.author","Hörstgen-Schwark, G."],["dc.contributor.author","Wessels, S."],["dc.date.accessioned","2019-07-09T11:54:02Z"],["dc.date.available","2019-07-09T11:54:02Z"],["dc.date.issued","2012"],["dc.description.abstract","This study for the first time screens microsatellite markers for associations with the temperature-dependent sex of Oreochromis niloticus. Previous studies revealed markers on linkage groups (LG) 1, 3, and 23 to be linked to the phenotypic sex of Oreochromis spp. at normal rearing temperatures. Moreover, candidate genes for sex determination and differentiation have been mapped to these linkage groups. Here, 6 families of a temperature-treated genetically all-female (XX) F(1)-population were genotyped for 21 microsatellites on the 3 LGs. No population-wide QTL (quantitative trait loci) or marker trait associations could be detected. However, family-specific QTL were found on LG 1 flanked by UNH995 and UNH104, on LG 3 at the position of GM213, and on LG 23 next to GM283. Moreover, family-specific single marker associations for UNH995 and UNH104 on LG 1, GM213 on LG 3, as well as for UNH898 and GM283 on LG 23 were detected. Yet, marker trait associations could not explain the temperature-dependent sex of all fish in the respective families. The molecular cue for the temperature-dependent sex in Nile tilapia might partially coincide with allelic variants at major and minor genetic sex determining factors. Moreover, additional QTL contributing to variable liabilities towards temperature might persist on other LGs."],["dc.identifier.doi","10.1159/000339705"],["dc.identifier.fs","587929"],["dc.identifier.pmid","22797471"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8361"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60556"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1661-5433"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","First evidence for family-specific QTL for temperature-dependent sex reversal in Nile tilapia (Oreochromis niloticus)."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Genetics Selection Evolution"],["dc.bibliographiccitation.volume","52"],["dc.contributor.author","Yang, Bin"],["dc.contributor.author","Cui, Leilei"],["dc.contributor.author","Perez-Enciso, Miguel"],["dc.contributor.author","Traspov, Aleksei"],["dc.contributor.author","Crooijmans, Richard P. M. A."],["dc.contributor.author","Zinovieva, Natalia"],["dc.contributor.author","Schook, Lawrence B."],["dc.contributor.author","Archibald, Alan"],["dc.contributor.author","Gatphayak, Kesinee"],["dc.contributor.author","Knorr, Christophe"],["dc.contributor.author","Triantafyllidis, Alex"],["dc.contributor.author","Alexandri, Panoraia"],["dc.contributor.author","Semiadi, Gono"],["dc.contributor.author","Hanotte, Olivier"],["dc.contributor.author","Dias, Deodália"],["dc.contributor.author","Dovč, Peter"],["dc.contributor.author","Uimari, Pekka"],["dc.contributor.author","Iacolina, Laura"],["dc.contributor.author","Scandura, Massimo"],["dc.contributor.author","Groenen, Martien A. M."],["dc.contributor.author","Huang, Lusheng"],["dc.contributor.author","Megens, Hendrik-Jan"],["dc.date.accessioned","2021-04-14T08:25:16Z"],["dc.date.available","2021-04-14T08:25:16Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1186/s12711-020-00549-3"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17367"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/81577"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-399"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","1297-9686"],["dc.relation.iserratumof","/handle/2/77448"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Correction to: Genome-wide SNP data unveils the globalization of domesticated pigs"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","erratum_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1491"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","Asian-Australasian Journal of Animal Sciences"],["dc.bibliographiccitation.lastpage","1500"],["dc.bibliographiccitation.volume","32"],["dc.contributor.author","Charoensook, Rangsun"],["dc.contributor.author","Gatphayak, Kesinee"],["dc.contributor.author","Brenig, Bertram"],["dc.contributor.author","Knorr, Christoph"],["dc.date.accessioned","2020-12-10T18:48:00Z"],["dc.date.available","2020-12-10T18:48:00Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.5713/ajas.18.0832"],["dc.identifier.eissn","1976-5517"],["dc.identifier.issn","1011-2367"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16466"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78977"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Genetic diversity analysis of Thai indigenous pig population using microsatellite markers"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]