Literature DB >> 28746784

Whole-genome sequencing approaches for conservation biology: Advantages, limitations and practical recommendations.

Angela P Fuentes-Pardo1, Daniel E Ruzzante1.   

Abstract

Whole-genome resequencing (WGR) is a powerful method for addressing fundamental evolutionary biology questions that have not been fully resolved using traditional methods. WGR includes four approaches: the sequencing of individuals to a high depth of coverage with either unresolved or resolved haplotypes, the sequencing of population genomes to a high depth by mixing equimolar amounts of unlabelled-individual DNA (Pool-seq) and the sequencing of multiple individuals from a population to a low depth (lcWGR). These techniques require the availability of a reference genome. This, along with the still high cost of shotgun sequencing and the large demand for computing resources and storage, has limited their implementation in nonmodel species with scarce genomic resources and in fields such as conservation biology. Our goal here is to describe the various WGR methods, their pros and cons and potential applications in conservation biology. WGR offers an unprecedented marker density and surveys a wide diversity of genetic variations not limited to single nucleotide polymorphisms (e.g., structural variants and mutations in regulatory elements), increasing their power for the detection of signatures of selection and local adaptation as well as for the identification of the genetic basis of phenotypic traits and diseases. Currently, though, no single WGR approach fulfils all requirements of conservation genetics, and each method has its own limitations and sources of potential bias. We discuss proposed ways to minimize such biases. We envision a not distant future where the analysis of whole genomes becomes a routine task in many nonmodel species and fields including conservation biology.
© 2017 John Wiley & Sons Ltd.

Keywords:  Pool-seq; conservation biology; low-coverage sequencing; management; population genomics; whole-genome sequencing

Mesh:

Year:  2017        PMID: 28746784     DOI: 10.1111/mec.14264

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  49 in total

1.  Double-digest RAD-sequencing: do pre- and post-sequencing protocol parameters impact biological results?

Authors:  Tristan Cumer; Charles Pouchon; Frédéric Boyer; Glenn Yannic; Delphine Rioux; Aurélie Bonin; Thibaut Capblancq
Journal:  Mol Genet Genomics       Date:  2021-01-20       Impact factor: 3.291

2.  Measuring Genetic Differentiation from Pool-seq Data.

Authors:  Valentin Hivert; Raphaël Leblois; Eric J Petit; Mathieu Gautier; Renaud Vitalis
Journal:  Genetics       Date:  2018-07-30       Impact factor: 4.562

Review 3.  The long-term restoration of ecosystem complexity.

Authors:  David Moreno-Mateos; Antton Alberdi; Elly Morriën; Wim H van der Putten; Asun Rodríguez-Uña; Daniel Montoya
Journal:  Nat Ecol Evol       Date:  2020-04-13       Impact factor: 15.460

4.  Annotation of immune genes in the extinct thylacine (Thylacinus cynocephalus).

Authors:  Emma Peel; Stephen Frankenberg; Carolyn J Hogg; Andrew Pask; Katherine Belov
Journal:  Immunogenetics       Date:  2021-02-05       Impact factor: 2.846

5.  Multi-population puma connectivity could restore genomic diversity to at-risk coastal populations in California.

Authors:  Kyle D Gustafson; Roderick B Gagne; Michael R Buchalski; T Winston Vickers; Seth P D Riley; Jeff A Sikich; Jaime L Rudd; Justin A Dellinger; Melanie E F LaCava; Holly B Ernest
Journal:  Evol Appl       Date:  2022-01-27       Impact factor: 5.183

6.  Recapitulating whole genome based population genetic structure for Indian wild tigers through an ancestry informative marker panel.

Authors:  Anubhab Khan; Ranajit Das; Swathy M Krishna; Uma Ramakrishnan
Journal:  Heredity (Edinb)       Date:  2021-12-02       Impact factor: 3.821

7.  Characterization of a Y-specific duplication/insertion of the anti-Mullerian hormone type II receptor gene based on a chromosome-scale genome assembly of yellow perch, Perca flavescens.

Authors:  Romain Feron; Margot Zahm; Cédric Cabau; Christophe Klopp; Céline Roques; Olivier Bouchez; Camille Eché; Sophie Valière; Cécile Donnadieu; Pierrick Haffray; Anastasia Bestin; Romain Morvezen; Hervé Acloque; Peter T Euclide; Ming Wen; Elodie Jouano; Manfred Schartl; John H Postlethwait; Claire Schraidt; Mark R Christie; Wesley A Larson; Amaury Herpin; Yann Guiguen
Journal:  Mol Ecol Resour       Date:  2020-01-27       Impact factor: 7.090

8.  QTL mapping for Fusarium wilt resistance based on the whole-genome resequencing and their association with functional genes in Raphanus sativus.

Authors:  Yinbo Ma; Sushil Satish Chhapekar; Lu Lu; Xiaona Yu; Seungho Kim; Soo Min Lee; Tae Hyoung Gan; Gyung Ja Choi; Yong Pyo Lim; Su Ryun Choi
Journal:  Theor Appl Genet       Date:  2021-08-13       Impact factor: 5.699

9.  Linking genetic, morphological, and behavioural divergence between inland island and mainland deer mice.

Authors:  Joshua M Miller; Dany Garant; Charles Perrier; Tristan Juette; Joël W Jameson; Eric Normandeau; Louis Bernatchez; Denis Réale
Journal:  Heredity (Edinb)       Date:  2021-12-24       Impact factor: 3.821

10.  A novel nonlinear dimension reduction approach to infer population structure for low-coverage sequencing data.

Authors:  Miao Zhang; Yiwen Liu; Hua Zhou; Joseph Watkins; Jin Zhou
Journal:  BMC Bioinformatics       Date:  2021-06-26       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.