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CHIIMP: An automated high-throughput microsatellite genotyping platform reveals greater allelic diversity in wild chimpanzees.
Barbian, Hannah J; Connell, Andrew Jesse; Avitto, Alexa N; Russell, Ronnie M; Smith, Andrew G; Gundlapally, Madhurima S; Shazad, Alexander L; Li, Yingying; Bibollet-Ruche, Frederic; Wroblewski, Emily E; Mjungu, Deus; Lonsdorf, Elizabeth V; Stewart, Fiona A; Piel, Alexander K; Pusey, Anne E; Sharp, Paul M; Hahn, Beatrice H.
  • Barbian HJ; Departments of Microbiology and Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania.
  • Connell AJ; Departments of Microbiology and Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania.
  • Avitto AN; Departments of Microbiology and Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania.
  • Russell RM; Departments of Microbiology and Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania.
  • Smith AG; Departments of Microbiology and Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania.
  • Gundlapally MS; Departments of Microbiology and Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania.
  • Shazad AL; Departments of Microbiology and Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania.
  • Li Y; Departments of Microbiology and Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania.
  • Bibollet-Ruche F; Departments of Microbiology and Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania.
  • Wroblewski EE; Department of Anthropology Washington University in St. Louis St. Louis Missouri.
  • Mjungu D; Gombe Stream Research Center Kigoma Tanzania.
  • Lonsdorf EV; Department of Psychology Franklin and Marshall College Lancaster Pennsylvania.
  • Stewart FA; School of Natural Sciences and Psychology Liverpool John Moores University Liverpool UK.
  • Piel AK; School of Natural Sciences and Psychology Liverpool John Moores University Liverpool UK.
  • Pusey AE; Department of Evolutionary Anthropology Duke University Durham North Carolina.
  • Sharp PM; Institute of Evolutionary Biology and Centre for Immunity Infection and Evolution University of Edinburgh Edinburgh UK.
  • Hahn BH; Departments of Microbiology and Medicine Perelman School of Medicine University of Pennsylvania Philadelphia Pennsylvania.
Ecol Evol ; 8(16): 7946-7963, 2018 Aug.
Article en En | MEDLINE | ID: mdl-30250675
ABSTRACT
Short tandem repeats (STRs), also known as microsatellites, are commonly used to noninvasively genotype wild-living endangered species, including African apes. Until recently, capillary electrophoresis has been the method of choice to determine the length of polymorphic STR loci. However, this technique is labor intensive, difficult to compare across platforms, and notoriously imprecise. Here we developed a MiSeq-based approach and tested its performance using previously genotyped fecal samples from long-term studied chimpanzees in Gombe National Park, Tanzania. Using data from eight microsatellite loci as a reference, we designed a bioinformatics platform that converts raw MiSeq reads into locus-specific files and automatically calls alleles after filtering stutter sequences and other PCR artifacts. Applying this method to the entire Gombe population, we confirmed previously reported genotypes, but also identified 31 new alleles that had been missed due to sequence differences and size homoplasy. The new genotypes, which increased the allelic diversity and heterozygosity in Gombe by 61% and 8%, respectively, were validated by replicate amplification and pedigree analyses. This demonstrated inheritance and resolved one case of an ambiguous paternity. Using both singleplex and multiplex locus amplification, we also genotyped fecal samples from chimpanzees in the Greater Mahale Ecosystem in Tanzania, demonstrating the utility of the MiSeq-based approach for genotyping nonhabituated populations and performing comparative analyses across field sites. The new automated high-throughput analysis platform (available at https//github.com/ShawHahnLab/chiimp) will allow biologists to more accurately and effectively determine wildlife population size and structure, and thus obtain information critical for conservation efforts.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2018 Tipo del documento: Article