ddRAD-seq reveals the genetic structure and detects signals of selection in Italian brown trout.


Journal

Genetics, selection, evolution : GSE
ISSN: 1297-9686
Titre abrégé: Genet Sel Evol
Pays: France
ID NLM: 9114088

Informations de publication

Date de publication:
31 Jan 2022
Historique:
received: 01 08 2021
accepted: 14 01 2022
entrez: 1 2 2022
pubmed: 2 2 2022
medline: 3 2 2022
Statut: epublish

Résumé

Brown trout is one of the most widespread fresh-water fish species in Europe. The evolutionary history of and phylogenetic relationships between brown trout populations are complex, and this is especially true for Italian populations, which are heavily influenced in different ways by stocking practices. The characterization of the genetic structure of Italian brown trout populations may give information on the risk of losing endemic Italian populations due to lack of genetic diversity or to admixture with stocking populations. The identification of signatures of selection, and the information deriving from dense genotyping data will help genotype-informed breeding programs. We used a ddRAD-seq approach to obtain more than 100,000 single nucleotide polymorphisms (SNPs), and to characterize the population structure and signatures of selection in 90 brown trout samples. Italian brown trout populations are genetically differentiated, although the stocking practices have introduced strong admixture in endemic Italian trout, especially with the Atlantic lineage. Most of the analysed populations showed high levels of kinship and inbreeding. We detected putative signatures of selection using different approaches, and investigated if the regions were enriched for functional categories. Several regions putatively under selection and characterized by a reduction in heterozygosity across all the studied populations are enriched for genes involved in the response to viral infections. Our results, which show evidence of admixture with the Atlantic lineage (commonly used for stocking), confirm the need for controlling stocking practices, in order to avoid the erosion of the endemic gene pool; given the apparently high levels of kinship and inbreeding in local populations, our results also show the need to take action for increasing gene diversity. In addition, we used the genetically-distinct lineages to detect signatures of selection and we identified putative signatures of selection in several regions associated with resistance to infectious diseases. These constitute candidate regions for the study of resistance to infections in wild and farmed trout.

Sections du résumé

BACKGROUND BACKGROUND
Brown trout is one of the most widespread fresh-water fish species in Europe. The evolutionary history of and phylogenetic relationships between brown trout populations are complex, and this is especially true for Italian populations, which are heavily influenced in different ways by stocking practices. The characterization of the genetic structure of Italian brown trout populations may give information on the risk of losing endemic Italian populations due to lack of genetic diversity or to admixture with stocking populations. The identification of signatures of selection, and the information deriving from dense genotyping data will help genotype-informed breeding programs. We used a ddRAD-seq approach to obtain more than 100,000 single nucleotide polymorphisms (SNPs), and to characterize the population structure and signatures of selection in 90 brown trout samples.
RESULTS RESULTS
Italian brown trout populations are genetically differentiated, although the stocking practices have introduced strong admixture in endemic Italian trout, especially with the Atlantic lineage. Most of the analysed populations showed high levels of kinship and inbreeding. We detected putative signatures of selection using different approaches, and investigated if the regions were enriched for functional categories. Several regions putatively under selection and characterized by a reduction in heterozygosity across all the studied populations are enriched for genes involved in the response to viral infections.
CONCLUSIONS CONCLUSIONS
Our results, which show evidence of admixture with the Atlantic lineage (commonly used for stocking), confirm the need for controlling stocking practices, in order to avoid the erosion of the endemic gene pool; given the apparently high levels of kinship and inbreeding in local populations, our results also show the need to take action for increasing gene diversity. In addition, we used the genetically-distinct lineages to detect signatures of selection and we identified putative signatures of selection in several regions associated with resistance to infectious diseases. These constitute candidate regions for the study of resistance to infections in wild and farmed trout.

Identifiants

pubmed: 35100964
doi: 10.1186/s12711-022-00698-7
pii: 10.1186/s12711-022-00698-7
pmc: PMC8805291
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8

Subventions

Organisme : university of udine
ID : START-UP 2018 Gensal
Organisme : university of udine
ID : SHORT-MISSION 2019 (PDM_VQR3_DI4A_MISSIONI)

Informations de copyright

© 2022. The Author(s).

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Auteurs

Gabriele Magris (G)

Department of Agricultural, Food, Environmental and Animal Sciences (Di4A), University of Udine, Via delle Scienze 206, 33100, Udine, Italy.
Istituto di Genomica Applicata, Via J. Linussio 51, 33100, Udine, Italy.

Fabio Marroni (F)

Department of Agricultural, Food, Environmental and Animal Sciences (Di4A), University of Udine, Via delle Scienze 206, 33100, Udine, Italy.
Istituto di Genomica Applicata, Via J. Linussio 51, 33100, Udine, Italy.

Edo D'Agaro (E)

Department of Agricultural, Food, Environmental and Animal Sciences (Di4A), University of Udine, Via delle Scienze 206, 33100, Udine, Italy.

Massimo Vischi (M)

Department of Agricultural, Food, Environmental and Animal Sciences (Di4A), University of Udine, Via delle Scienze 206, 33100, Udine, Italy.

Cristina Chiabà (C)

Department of Agricultural, Food, Environmental and Animal Sciences (Di4A), University of Udine, Via delle Scienze 206, 33100, Udine, Italy.

Davide Scaglione (D)

IGA Technology Services, s.r.l, Via J. Linussio 51, 33100, Udine, Italy.

James Kijas (J)

CSIRO, 306 Carmody Road, St Lucia, QLD, 4067, Australia.

Maria Messina (M)

Department of Agricultural, Food, Environmental and Animal Sciences (Di4A), University of Udine, Via delle Scienze 206, 33100, Udine, Italy.

Emilio Tibaldi (E)

Department of Agricultural, Food, Environmental and Animal Sciences (Di4A), University of Udine, Via delle Scienze 206, 33100, Udine, Italy.

Michele Morgante (M)

Department of Agricultural, Food, Environmental and Animal Sciences (Di4A), University of Udine, Via delle Scienze 206, 33100, Udine, Italy. michele.morgante@uniud.it.
Istituto di Genomica Applicata, Via J. Linussio 51, 33100, Udine, Italy. michele.morgante@uniud.it.

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Classifications MeSH