Genetic load: genomic estimates and applications in non-model animals

Research output: Contribution to journal › Review › Research › peer-review

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Genetic load : genomic estimates and applications in non-model animals. / Bertorelle, Giorgio; Raffini, Francesca; Bosse, Mirte; Bortoluzzi, Chiara; Iannucci, Alessio; Trucchi, Emiliano; Morales, Hernan E.; van Oosterhout, Cock.

In: Nature Reviews Genetics, 2022, p. 492–503.

Research output: Contribution to journal › Review › Research › peer-review

Harvard

Bertorelle, G, Raffini, F, Bosse, M, Bortoluzzi, C, Iannucci, A, Trucchi, E, Morales, HE & van Oosterhout, C 2022, 'Genetic load: genomic estimates and applications in non-model animals', Nature Reviews Genetics, pp. 492–503. https://doi.org/10.1038/s41576-022-00448-x

APA

Bertorelle, G., Raffini, F., Bosse, M., Bortoluzzi, C., Iannucci, A., Trucchi, E., Morales, H. E., & van Oosterhout, C. (2022). Genetic load: genomic estimates and applications in non-model animals. Nature Reviews Genetics, 492–503. https://doi.org/10.1038/s41576-022-00448-x

Vancouver

Bertorelle G, Raffini F, Bosse M, Bortoluzzi C, Iannucci A, Trucchi E et al. Genetic load: genomic estimates and applications in non-model animals. Nature Reviews Genetics. 2022;492–503. https://doi.org/10.1038/s41576-022-00448-x

Author

Bertorelle, Giorgio ; Raffini, Francesca ; Bosse, Mirte ; Bortoluzzi, Chiara ; Iannucci, Alessio ; Trucchi, Emiliano ; Morales, Hernan E. ; van Oosterhout, Cock. / Genetic load : genomic estimates and applications in non-model animals. In: Nature Reviews Genetics. 2022 ; pp. 492–503.

Bibtex

@article{95367fa743ec40fe9b3bad36619258dc,
title = "Genetic load: genomic estimates and applications in non-model animals",
abstract = "Genetic variation, which is generated by mutation, recombination and gene flow, can reduce the mean fitness of a population, both now and in the future. This 'genetic load' has been estimated in a wide range of animal taxa using various approaches. Advances in genome sequencing and computational techniques now enable us to estimate the genetic load in populations and individuals without direct fitness estimates. Here, we review the classic and contemporary literature of genetic load. We describe approaches to quantify the genetic load in whole-genome sequence data based on evolutionary conservation and annotations. We show that splitting the load into its two components - the realized load (or expressed load) and the masked load (or inbreeding load) - can improve our understanding of the population genetics of deleterious mutations.The reduction in individual and mean population fitness induced by novel deleterious genetic variation is known as the genetic load. Bertorelle et al. review the definition of the genetic load and its components as well as the impact of whole-genome sequencing on the theoretical and applied study of the genetic load.",
keywords = "DELETERIOUS MUTATION LOAD, INBREEDING DEPRESSION, DRIFT LOAD, CONSERVATION MANAGEMENT, POPULATION DECLINE, EVOLUTION, SELECTION, HISTORY, ALLELES, EXTINCTION",
author = "Giorgio Bertorelle and Francesca Raffini and Mirte Bosse and Chiara Bortoluzzi and Alessio Iannucci and Emiliano Trucchi and Morales, {Hernan E.} and {van Oosterhout}, Cock",
year = "2022",
doi = "10.1038/s41576-022-00448-x",
language = "English",
pages = "492–503",
journal = "Nature Reviews. Genetics",
issn = "1471-0056",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Genetic load

T2 - genomic estimates and applications in non-model animals

AU - Bertorelle, Giorgio

AU - Raffini, Francesca

AU - Bosse, Mirte

AU - Bortoluzzi, Chiara

AU - Iannucci, Alessio

AU - Trucchi, Emiliano

AU - Morales, Hernan E.

AU - van Oosterhout, Cock

PY - 2022

Y1 - 2022

N2 - Genetic variation, which is generated by mutation, recombination and gene flow, can reduce the mean fitness of a population, both now and in the future. This 'genetic load' has been estimated in a wide range of animal taxa using various approaches. Advances in genome sequencing and computational techniques now enable us to estimate the genetic load in populations and individuals without direct fitness estimates. Here, we review the classic and contemporary literature of genetic load. We describe approaches to quantify the genetic load in whole-genome sequence data based on evolutionary conservation and annotations. We show that splitting the load into its two components - the realized load (or expressed load) and the masked load (or inbreeding load) - can improve our understanding of the population genetics of deleterious mutations.The reduction in individual and mean population fitness induced by novel deleterious genetic variation is known as the genetic load. Bertorelle et al. review the definition of the genetic load and its components as well as the impact of whole-genome sequencing on the theoretical and applied study of the genetic load.

AB - Genetic variation, which is generated by mutation, recombination and gene flow, can reduce the mean fitness of a population, both now and in the future. This 'genetic load' has been estimated in a wide range of animal taxa using various approaches. Advances in genome sequencing and computational techniques now enable us to estimate the genetic load in populations and individuals without direct fitness estimates. Here, we review the classic and contemporary literature of genetic load. We describe approaches to quantify the genetic load in whole-genome sequence data based on evolutionary conservation and annotations. We show that splitting the load into its two components - the realized load (or expressed load) and the masked load (or inbreeding load) - can improve our understanding of the population genetics of deleterious mutations.The reduction in individual and mean population fitness induced by novel deleterious genetic variation is known as the genetic load. Bertorelle et al. review the definition of the genetic load and its components as well as the impact of whole-genome sequencing on the theoretical and applied study of the genetic load.

KW - DELETERIOUS MUTATION LOAD

KW - INBREEDING DEPRESSION

KW - DRIFT LOAD

KW - CONSERVATION MANAGEMENT

KW - POPULATION DECLINE

KW - EVOLUTION

KW - SELECTION

KW - HISTORY

KW - ALLELES

KW - EXTINCTION

U2 - 10.1038/s41576-022-00448-x

DO - 10.1038/s41576-022-00448-x

M3 - Review

C2 - 35136196

SP - 492

EP - 503

JO - Nature Reviews. Genetics

JF - Nature Reviews. Genetics

SN - 1471-0056

ER -

ID: 297957152