Now showing 1 - 10 of 20
  • 2015Journal Article
    [["dc.bibliographiccitation.artnumber","222"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Genomics"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Liedigk, Rasmus"],["dc.contributor.author","Kolleck, Jakob"],["dc.contributor.author","Böker, Kai O."],["dc.contributor.author","Meijaard, Erik"],["dc.contributor.author","Md-Zain, Badrul M."],["dc.contributor.author","Abdul-Latiff, Muhammad A. B."],["dc.contributor.author","Ampeng, Ahmad"],["dc.contributor.author","Lakim, Maklarin"],["dc.contributor.author","Abdul-Patah, Pazil"],["dc.contributor.author","Tosi, Anthony J."],["dc.contributor.author","Brameier, Markus"],["dc.contributor.author","Zinner, Dietmar"],["dc.contributor.author","Roos, Christian"],["dc.date.accessioned","2019-07-09T11:41:52Z"],["dc.date.available","2019-07-09T11:41:52Z"],["dc.date.issued","2015"],["dc.description.abstract","Abstract Background Long-tailed macaques (Macaca fascicularis) are an important model species in biomedical research and reliable knowledge about their evolutionary history is essential for biomedical inferences. Ten subspecies have been recognized, of which most are restricted to small islands of Southeast Asia. In contrast, the common long-tailed macaque (M. f. fascicularis) is distributed over large parts of the Southeast Asian mainland and the Sundaland region. To shed more light on the phylogeny of M. f. fascicularis, we sequenced complete mitochondrial (mtDNA) genomes of 40 individuals from all over the taxon’s range, either by classical PCR-amplification and Sanger sequencing or by DNA-capture and high-throughput sequencing. Results Both laboratory approaches yielded complete mtDNA genomes from M. f. fascicularis with high accuracy and/or coverage. According to our phylogenetic reconstructions, M. f. fascicularis initially diverged into two clades 1.70 million years ago (Ma), with one including haplotypes from mainland Southeast Asia, the Malay Peninsula and North Sumatra (Clade A) and the other, haplotypes from the islands of Bangka, Java, Borneo, Timor, and the Philippines (Clade B). The three geographical populations of Clade A appear as paraphyletic groups, while local populations of Clade B form monophyletic clades with the exception of a Philippine individual which is nested within the Borneo clade. Further, in Clade B the branching pattern among main clades/lineages remains largely unresolved, most likely due to their relatively rapid diversification 0.93-0.84 Ma. Conclusions Both laboratory methods have proven to be powerful to generate complete mtDNA genome data with similarly high accuracy, with the DNA-capture and high-throughput sequencing approach as the most promising and only practical option to obtain such data from highly degraded DNA, in time and with relatively low costs. The application of complete mtDNA genomes yields new insights into the evolutionary history of M. f. fascicularis by providing a more robust phylogeny and more reliable divergence age estimations than earlier studies."],["dc.identifier.doi","10.1186/s12864-015-1437-0"],["dc.identifier.pmid","25887664"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12486"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58534"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Mitogenomic phylogeny of the common long-tailed macaque (Macaca fascicularis fascicularis)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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  • 2010Journal Article
    [["dc.bibliographiccitation.issue","64"],["dc.bibliographiccitation.journal","BMC Research Notes"],["dc.bibliographiccitation.volume","3"],["dc.contributor.author","Brameier, Markus"],["dc.date.accessioned","2019-07-09T11:52:36Z"],["dc.date.available","2019-07-09T11:52:36Z"],["dc.date.issued","2010"],["dc.description.abstract","Background MicroRNAs (miRNAs) are negative regulators of gene expression in multicellular eukaryotes. With the recently completed sequencing of three primate genomes, the study of miRNA evolution within the primate lineage has only begun and may be expected to provide the genetic and molecular explanations for many phenotypic differences between human and non-human primates. Findings We scanned all three genomes of non-human primates, including chimpanzee (Pan troglodytes), orangutan (Pongo pygmaeus), and rhesus monkey (Macaca mulatta), for homologs of human miRNA genes. Besides sequence homology analysis, our comparative method relies on various postprocessing filters to verify other features of miRNAs, including, in particular, their precursor structure or their occurrence (prediction) in other primate genomes. Our study allows direct comparisons between the different species in terms of their miRNA repertoire, their evolutionary distance to human, the effects of filters, as well as the identification of common and species-specific miRNAs in the primate lineage. More than 500 novel putative miRNA genes have been discovered in orangutan that show at least 85 percent identity in precursor sequence. Only about 40 percent are found to be 100 percent identical with their human ortholog. Conclusion Homologs of human precursor miRNAs with perfect or near-perfect sequence identity may be considered to be likely functional in other primates. The computational identification of homologs with less similar sequence, instead, requires further evidence to be provided."],["dc.identifier.doi","10.1186/1756-0500-3-64"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/5689"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60232"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 2.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.0"],["dc.subject.ddc","610"],["dc.title","Genome-wide comparative analysis of microRNAs in three non-human primates"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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  • 2013Journal Article
    [["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Immunogenetics"],["dc.bibliographiccitation.volume","65"],["dc.contributor.author","Huchard, Elise"],["dc.contributor.author","Albrecht, Christina"],["dc.contributor.author","Schliehe-Diecks, Susanne"],["dc.contributor.author","Baniel, Alice"],["dc.contributor.author","Roos, Christian"],["dc.contributor.author","Kappeler, Peter M."],["dc.contributor.author","Brameier, Markus"],["dc.date.accessioned","2018-11-07T09:17:22Z"],["dc.date.available","2018-11-07T09:17:22Z"],["dc.date.issued","2013"],["dc.format.extent","905"],["dc.identifier.doi","10.1007/s00251-013-0737-2"],["dc.identifier.isi","000326923600009"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/28149"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.relation.issn","1432-1211"],["dc.relation.issn","0093-7711"],["dc.title","Large-scale MHC class II genotyping of a wild lemur population by next generation sequencing (vol 64, pg 895, 2012)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
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  • 2013-09-23Journal Article
    [["dc.bibliographiccitation.artnumber","e75063"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Brameier, Markus"],["dc.contributor.author","Ibing, Wiebke"],["dc.contributor.author","Höfer, Katharina"],["dc.contributor.author","Montag, Judith"],["dc.contributor.author","Stahl-Hennig, Christiane"],["dc.contributor.author","Motzkus, Dirk"],["dc.date.accessioned","2019-07-09T11:54:33Z"],["dc.date.available","2019-07-09T11:54:33Z"],["dc.date.issued","2013-09-23"],["dc.description.abstract","Recent evidence indicates that regulatory small non-coding RNAs are not only components of eukaryotic cells and vesicles, but also reside within a number of different viruses including retroviral particles. Using ultra-deep sequencing we have comprehensively analyzed the content of simian immunodeficiency virions (SIV), which were compared to mock-control preparations. Our analysis revealed that more than 428,000 sequence reads matched the SIV mac239 genome sequence. Among these we could identify 12 virus-derived small RNAs (vsRNAs) that were highly abundant. Beside known retrovirus-enriched small RNAs, like 7SL-RNA, tRNALys3 and tRNALys isoacceptors, we also identified defined fragments derived from small ILF3/NF90-associated RNA snaR-A14, that were enriched more than 50 fold in SIV. We also found evidence that small nucleolar RNAs U2 and U12 were underrepresented in the SIV preparation, indicating that the relative number or the content of co-isolated exosomes was changed upon infection. Our comprehensive atlas of SIV-incorporated small RNAs provides a refined picture of the composition of retrovirions, which gives novel insights into viral packaging."],["dc.format.extent","16"],["dc.identifier.doi","10.1371/journal.pone.0075063"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/9288"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60676"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY 2.5"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.5"],["dc.title","Mapping the Small RNA Content of Simian Immunodeficiency Virions (SIV)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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  • 2014Journal Article
    [["dc.bibliographiccitation.artnumber","600"],["dc.bibliographiccitation.journal","Frontiers in Immunology"],["dc.bibliographiccitation.volume","5"],["dc.contributor.author","Albrecht, Christina"],["dc.contributor.author","Brameier, Markus"],["dc.contributor.author","Hermes, Meike"],["dc.contributor.author","Ansari, Aftab A."],["dc.contributor.author","Walter, Lutz"],["dc.contributor.author","Malzahn, Dörthe"],["dc.date.accessioned","2018-11-07T09:32:24Z"],["dc.date.available","2018-11-07T09:32:24Z"],["dc.date.issued","2014"],["dc.description.abstract","Killer cell immunoglobulin-like receptors (KIR) regulate the activity of natural killer (NK) cells and have been shown to be associated with susceptibility to a number of human infectious diseases. Here, we analyzed NK cell function and genetic associations in a cohort of 52 rhesus macaques experimentally infected with SIVmac and subsequently stratified into high viral load (HVL) and low viral load (LVL) plasma viral loads at set point. This stratification coincided with fast (HVL) and slow (LVL) disease progression indicated by the disease course and critical clinical parameters including CD4+ T cell counts. HVL animals revealed sustained proliferation of NK cells but distinct loss of peripheral blood NK cell numbers and lytic function. Genetic analyses revealed that KIR genes 3DL05, 3DS05, and 3DL10 as well as 3DSW08, 3DLW03, and 3DSW09 are correlated, most likely due to underlying haplotypes. SIV-infection outcome associated with presence of transcripts for two inhibitory KIR genes (KIR3DL02, KIR3DL10) and three activating KIR genes (KIR3DSW08, KIR3DS02, KIR3DS05). Presence of KIR3DLO2 and KIR3DSW08 was associated with LVL outcome, whereas presence of KIR3DS02 was associated with HVL outcome. Furthermore, we identified epistasis between KIR and MHC class I alleles as the transcript presence of the correlated genes KIR3DL05, KIR3DS05, and KIR3DL10 increased HVL risk when Mamu-B 012 transcripts were also present or when Mamu-Al 001 transcripts were absent. These genetic associations were mirrored by changes in the numbers, the level of proliferation, and lytic capabilities of NK cells as well as overall survival time and gastro-intestinal tissue viral load."],["dc.description.sponsorship","NIH HHS [P51 OD011132]"],["dc.identifier.doi","10.3389/fimmu.2014.00600"],["dc.identifier.isi","000354531900001"],["dc.identifier.pmid","25506344"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11789"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31752"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Frontiers Media S.A."],["dc.relation.eissn","1664-3224"],["dc.relation.issn","1664-3224"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Progression to AIDS in SIV-infected rhesus macaques is associated with distinct KIR and MHC class 1 polymorphisms and NK cell dysfunction"],["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"]]
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  • 2012Journal Article
    [["dc.bibliographiccitation.artnumber","486"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Genomics"],["dc.bibliographiccitation.volume","13"],["dc.contributor.author","Montag, Judith"],["dc.contributor.author","Brameier, Markus"],["dc.contributor.author","Schmädicke, Ann-Christin"],["dc.contributor.author","Gilch, Sabine"],["dc.contributor.author","Schätzl, Hermann M."],["dc.contributor.author","Motzkus, Dirk"],["dc.date.accessioned","2019-07-09T11:53:50Z"],["dc.date.available","2019-07-09T11:53:50Z"],["dc.date.issued","2012"],["dc.description.abstract","Background Prion diseases are neurodegenerative diseases that are characterized by the conversion of the cellular prion protein (PrPc) into a pathogenic isoform (PrPSc). It is known that neurodegeneration is often accompanied by the disturbance of cholesterol homeostasis. We have recently identified a set of genes that were upregulated after prion infection of N2a neuronal cells (Bach et al., 2009). Results We have now used ultra-deep sequencing technology to profile all microRNAs (miRNA) that could be associated with this effect in these N2a cells. Using stringent filters and normalization strategies we identified a small set of miRNAs that were up- or downregulated upon prion infection. Using bioinformatic tools we predicted whether the downregulated miRNAs could target mRNAs that have been previously identified to enhance cholesterol synthesis in these cells. Application of this joint profiling approach revealed that nine miRNAs potentially target cholesterol-related genes. Four of those miRNAs are localized in a miRNA-dense cluster on the mouse X-chromosome. Among these, twofold downregulation of mmu-miR-351 and mmu-miR-542-5p was confirmed by qRT-PCR. The same miRNAs were predicted as putative regulators of the sterol regulatory element-binding factor 2 (Srebf2), the low-density lipoprotein receptor (Ldlr) or the IPP isomerase. Conclusions The results demonstrate that joined profiling by ultra-deep sequencing is highly valuable to identify candidate miRNAs involved in prion-induced dysregulation of cholesterol homeostasis."],["dc.identifier.doi","10.1186/1471-2164-13-486"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/8111"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60508"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 2.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.0"],["dc.title","A genome-wide survey for prion-regulated miRNAs associated with cholesterol homeostasis"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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  • 2013-05-22Journal Article
    [["dc.bibliographiccitation.artnumber","e64936"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Hermes, Meike"],["dc.contributor.author","Albrecht, Christina"],["dc.contributor.author","Schrod, Annette"],["dc.contributor.author","Brameier, Markus"],["dc.contributor.author","Walter, Lutz"],["dc.date.accessioned","2019-07-09T11:54:24Z"],["dc.date.available","2019-07-09T11:54:24Z"],["dc.date.issued","2013-05-22"],["dc.description.abstract","The expression of killer cell immunoglobulin-like receptors (KIR) on lymphocytes of rhesus macaques and other Old World monkeys was unknown so far. We used our recently established monoclonal anti-rhesus macaque KIR antibodies in multicolour flow cytometry for phenotypic characterization of KIR protein expression on natural killer (NK) cells and T cell subsets of rhesus macaques, cynomolgus macaques, hamadryas baboons, and African green monkeys. Similar to human KIR, we found clonal expression patterns of KIR on NK and T cell subsets in rhesus macaques and differences between individuals using pan-KIR3D antibody 1C7 and antibodies specific for single KIR. Similar results were obtained with lymphocytes from the other studied species. Notably, African green monkeys show only a low frequency of KIR3D expressed on CD8+ abT cells. Contrasting human NK cells are KIR-positive CD56bright NK cells and frequencies of KIR-expressing NK cells that are independent of the presence of their cognate MHC class I ligands in rhesus macaques. Interestingly, the frequency of KIR-expressing cells and the expression strength of KIR3D are correlated in cd T cells of rhesus macaques and CD8+ abT cells of baboons."],["dc.format.extent","10"],["dc.identifier.doi","10.1371/journal.pone.0064936"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/9109"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60652"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1932-6203"],["dc.rights","CC BY-NC-ND 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/3.0"],["dc.title","Expression Patterns of Killer Cell Immunoglobulin-Like Receptors (KIR) of NK-Cell and T-Cell Subsets in Old World Monkeys"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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  • 2015Journal Article
    [["dc.bibliographiccitation.firstpage","229"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Immunogenetics"],["dc.bibliographiccitation.lastpage","245"],["dc.bibliographiccitation.volume","67"],["dc.contributor.author","Pechouskova, Eva"],["dc.contributor.author","Dammhahn, Melanie"],["dc.contributor.author","Brameier, Markus"],["dc.contributor.author","Fichtel, Claudia"],["dc.contributor.author","Kappeler, Peter"],["dc.contributor.author","Huchard, Elise"],["dc.date.accessioned","2017-09-07T11:47:00Z"],["dc.date.available","2017-09-07T11:47:00Z"],["dc.date.issued","2015"],["dc.description.abstract","The polymorphism of immunogenes of the major histocompatibility complex (MHC) is thought to influence the functional plasticity of immune responses and, consequently, the fitness of populations facing heterogeneous pathogenic pressures. Here, we evaluated MHC variation (allelic richness and divergence) and patterns of selection acting on the two highly polymorphic MHC class II loci (DRB and DQB) in the endangered primate Madame Berthe's mouse lemur (Microcebus berthae). Using 454 pyrosequencing, we examined MHC variation in a total of 100 individuals sampled over 9 years in Kirindy Forest, Western Madagascar, and compared our findings with data obtained previously for its sympatric congener, the grey mouse lemur (Microcebus murinus). These species exhibit a contrasting ecology and demography that were expected to affect MHC variation and molecular signatures of selection. We found a lower allelic richness concordant with its low population density, but a similar level of allelic divergence and signals of historical selection in the rare feeding specialist M. berthae compared to the widespread generalist M. murinus. These findings suggest that demographic factors may exert a stronger influence than pathogen-driven selection on current levels of allelic richness in M. berthae. Despite a high sequence similarity between the two congeners, contrasting selection patterns detected at DQB suggest its potential functional divergence. This study represents a first step toward unravelling factors influencing the adaptive divergence of MHC genes between closely related but ecologically differentiated sympatric lemurs and opens new questions regarding potential functional discrepancy that would explain contrasting selection patterns detected at DQB."],["dc.identifier.doi","10.1007/s00251-015-0827-4"],["dc.identifier.gro","3150569"],["dc.identifier.pmid","25687337"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11625"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7345"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.issn","0093-7711"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject","Primates; Cheirogaleidae; Microcebus berthae; 454 pyrosequencing"],["dc.title","MHC class II variation in a rare and ecological specialist mouse lemur reveals lower allelic richness and contrasting selection patterns compared to a generalist and widespread sympatric congener"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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  • 2014Journal Article
    [["dc.bibliographiccitation.artnumber","176"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Evolutionary Biology"],["dc.bibliographiccitation.volume","14"],["dc.contributor.author","Liedigk, Rasmus"],["dc.contributor.author","Roos, Christian"],["dc.contributor.author","Brameier, Markus"],["dc.contributor.author","Zinner, Dietmar"],["dc.date.accessioned","2019-07-09T11:40:18Z"],["dc.date.available","2019-07-09T11:40:18Z"],["dc.date.issued","2014"],["dc.description.abstract","Background The evolutionary history of the Old World monkey tribe Papionini comprising the genera Macaca, Mandrillus, Cercocebus, Lophocebus, Theropithecus, Rungwecebus and Papio is still matter of debate. Although the African Papionini (subtribe Papionina) are generally considered to be the sister lineage to the Asian Papionini (subtribe Macacina), previous studies based on morphological data, nuclear or mitochondrial sequences have shown contradictory phylogenetic relationships among and within both subtribes. To further elucidate the phylogenetic relationships among papionins and to estimate divergence ages we generated mitochondrial genome data and combined them with previously published sequences. Results Our mitochondrial gene tree comprises 33 papionins representing all genera of the tribe except Rungwecebus. In contrast to most previous studies, the obtained phylogeny suggests a division of the Papionini into three main mitochondrial clades with similar ages: 1) Papio, Theropithecus, Lophocebus; 2) Mandrillus, Cercocebus; and 3) Macaca; the Mandrillus + Cercocebus clade appears to be more closely related to Macaca than to the other African Papionini. Further, we find paraphyletic relationships within the Mandrillus + Cercocebus clade as well as in Papio. Relationships among Theropithecus, Lophocebus and Papio remain unresolved. Divergence ages reveal initial splits within the three mitochondrial clades around the Miocene/Pliocene boundary and differentiation of Macaca species groups occurred on a similar time scale as those found between genera of the subtribe Papionina. Conclusion Due to the largely well-resolved mitochondrial phylogeny, our study provides new insights into the evolutionary history of the Papionini. Results show some contradictory relationships in comparison to previous analyses, notably the paraphyly within the Cercocebus + Mandrillus clade and three instead of only two major mitochondrial clades. Divergence ages among species groups of macaques are similar to those among African Papionini genera, suggesting that diversification of the mitochondrial genome is of a similar magnitude in both subtribes. However, since our mitochondrial tree represents just a single gene tree that most likely does not reflect the true species tree, extensive nuclear sequence data is required to illuminate the true species phylogeny of papionins and to trace possible ancient hybridization events among lineages."],["dc.identifier.doi","10.1186/s12862-014-0176-1"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58141"],["dc.language.iso","en"],["dc.title","Mitogenomics of the Old World monkey tribe Papionini"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2011Journal Article
    [["dc.bibliographiccitation.artnumber","216"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Evolutionary Biology"],["dc.bibliographiccitation.volume","11"],["dc.contributor.author","Markolf, Matthias"],["dc.contributor.author","Brameier, Markus"],["dc.contributor.author","Kappeler, Peter"],["dc.date.accessioned","2017-09-07T11:48:53Z"],["dc.date.available","2017-09-07T11:48:53Z"],["dc.date.issued","2011"],["dc.description.abstract","BACKGROUND:Although most taxonomists agree that species are independently evolving metapopulation lineages that should be delimited with several kinds of data, the taxonomic practice in Malagasy primates (Lemuriformes) looks quite different. Several recently described lemur species are based solely on evidence of genetic distance and diagnostic characters of mitochondrial DNA sequences sampled from a few individuals per location. Here we explore the validity of this procedure for species delimitation in lemurs using published sequence data.RESULTS:We show that genetic distance estimates and Population Aggregation Analysis (PAA) are inappropriate for species delimitation in this group of primates. Intra- and interspecific genetic distances overlapped in 14 of 17 cases independent of the genetic marker used. A simulation of a fictive taxonomic study indicated that for the mitochondrial D-loop the minimum required number of individuals sampled per location is 10 in order to avoid false positives via PAA.CONCLUSIONS:Genetic distances estimates and PAA alone should not be used for species delimitation in lemurs. Instead, several nuclear and sex-specific loci should be considered and combined with other data sets from morphology, ecology or behavior. Independent of the data source, sampling should be done in a way to ensure a quantitative comparison of intra- and interspecific variation of the taxa in question. The results of our study also indicate that several of the recently described lemur species should be reevaluated with additional data and that the number of good species among the currently known taxa is probably lower than currently assumed."],["dc.identifier.doi","10.1186/1471-2148-11-216"],["dc.identifier.gro","3150897"],["dc.identifier.pmid","21777472"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/6852"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7695"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.issn","1471-2148"],["dc.rights","CC BY 2.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.0"],["dc.title","On species delimitation: Yet another lemur species or just genetic variation?"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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