Your browser doesn't support javascript.
loading
Non-invasive real-time genomic monitoring of the critically endangered kakapo.
Urban, Lara; Miller, Allison K; Eason, Daryl; Vercoe, Deidre; Shaffer, Megan; Wilkinson, Shaun P; Jeunen, Gert-Jan; Gemmell, Neil J; Digby, Andrew.
Afiliação
  • Urban L; Department of Anatomy, University of Otago, Dunedin, New Zealand.
  • Miller AK; Helmholtz Pioneer Campus, Helmholtz Zentrum Muenchen, Neuherberg, Germany.
  • Eason D; Helmholtz AI, Helmholtz Zentrum Muenchen, Neuherberg, Germany.
  • Vercoe D; Technical University of Munich, School of Life Sciences, Freising, Germany.
  • Shaffer M; Department of Anatomy, University of Otago, Dunedin, New Zealand.
  • Wilkinson SP; Kakapo Recovery Programme, Department of Conservation, Invercargill, New Zealand.
  • Jeunen GJ; Kakapo Recovery Programme, Department of Conservation, Invercargill, New Zealand.
  • Gemmell NJ; Wilderlab NZ Ltd, Wellington, New Zealand.
  • Digby A; Wilderlab NZ Ltd, Wellington, New Zealand.
Elife ; 122023 Dec 28.
Article em En | MEDLINE | ID: mdl-38153986
ABSTRACT
We used non-invasive real-time genomic approaches to monitor one of the last surviving populations of the critically endangered kakapo (Strigops habroptilus). We first established an environmental DNA metabarcoding protocol to identify the distribution of kakapo and other vertebrate species in a highly localized manner using soil samples. Harnessing real-time nanopore sequencing and the high-quality kakapo reference genome, we then extracted species-specific DNA from soil. We combined long read-based haplotype phasing with known individual genomic variation in the kakapo population to identify the presence of individuals, and confirmed these genomically informed predictions through detailed metadata on kakapo distributions. This study shows that individual identification is feasible through nanopore sequencing of environmental DNA, with important implications for future efforts in the application of genomics to the conservation of rare species, potentially expanding the application of real-time environmental DNA research from monitoring species distribution to inferring fitness parameters such as genomic diversity and inbreeding.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Papagaios / DNA Ambiental Limite: Animals / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Papagaios / DNA Ambiental Limite: Animals / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article