Journal article 1064 views 158 downloads
Transcriptomic response to aquaculture intensification in Nile tilapia
Evolutionary Applications, Volume: 12, Issue: 9, Pages: 1757 - 1771
Swansea University Authors: Tamsyn Uren Webster , Carlos Garcia De Leaniz , Sofia Consuegra del Olmo
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DOI (Published version): 10.1111/eva.12830
Abstract
To meet future global demand for fish protein, more fish will need to be farmed usingfewer resources, and this will require the selection of nonaggressive individuals thatperform well at high densities. Yet, the genetic changes underlying loss of aggressionand adaptation to crowding during aquacultu...
Published in: | Evolutionary Applications |
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ISSN: | 1752-4571 1752-4571 |
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2019
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URI: | https://cronfa.swan.ac.uk/Record/cronfa51134 |
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Yet, the genetic changes underlying loss of aggressionand adaptation to crowding during aquaculture intensification are largely unknown.We examined the transcriptomic response to aggression and crowding in Nile tilapia,one of the oldest and most widespread farmed fish, whose social structure shiftsfrom social hierarchies to shoaling with increasing density. A mirror test was usedto quantify aggression and skin darkening (a proxy for stress) of fish reared at lowand high densities, and gene expression in the hypothalamus was analysed amongthe most and least aggressive fish at each density. Fish reared at high density weredarker, had larger brains, were less active and less aggressive than those reared atlow density and had differentially expressed genes consistent with a reactive stress-copingstyle and activation of the hypothalamus–pituitary–interrenal (HPI) axis.Differences in gene expression among aggressive fish were accounted for by densityand the interaction between density and aggression levels, whereas for non-aggressivefish differences in gene expression were associated with individual variation inskin brightness and social stress. Thus, the response to crowding in Nile tilapia iscontext dependent and involves different neuro-endocrine pathways, depending onsocial status. 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2022-12-05T16:04:02.9899104 v2 51134 2019-07-18 Transcriptomic response to aquaculture intensification in Nile tilapia 3ea91c154926c86f89ea6a761122ecf6 0000-0002-0072-9745 Tamsyn Uren Webster Tamsyn Uren Webster true false 1c70acd0fd64edb0856b7cf34393ab02 0000-0003-1650-2729 Carlos Garcia De Leaniz Carlos Garcia De Leaniz true false 241f2810ab8f56be53ca8af23e384c6e 0000-0003-4403-2509 Sofia Consuegra del Olmo Sofia Consuegra del Olmo true false 2019-07-18 BGPS To meet future global demand for fish protein, more fish will need to be farmed usingfewer resources, and this will require the selection of nonaggressive individuals thatperform well at high densities. Yet, the genetic changes underlying loss of aggressionand adaptation to crowding during aquaculture intensification are largely unknown.We examined the transcriptomic response to aggression and crowding in Nile tilapia,one of the oldest and most widespread farmed fish, whose social structure shiftsfrom social hierarchies to shoaling with increasing density. A mirror test was usedto quantify aggression and skin darkening (a proxy for stress) of fish reared at lowand high densities, and gene expression in the hypothalamus was analysed amongthe most and least aggressive fish at each density. Fish reared at high density weredarker, had larger brains, were less active and less aggressive than those reared atlow density and had differentially expressed genes consistent with a reactive stress-copingstyle and activation of the hypothalamus–pituitary–interrenal (HPI) axis.Differences in gene expression among aggressive fish were accounted for by densityand the interaction between density and aggression levels, whereas for non-aggressivefish differences in gene expression were associated with individual variation inskin brightness and social stress. Thus, the response to crowding in Nile tilapia iscontext dependent and involves different neuro-endocrine pathways, depending onsocial status. Knowledge of genes associated with the response to crowding maypave the way for more efficient fish domestication, based on the selection of non-aggressiveindividuals with increasing tolerance to chronic stress necessary for aquacultureintensification. Journal Article Evolutionary Applications 12 9 1757 1771 1752-4571 1752-4571 aggression, aquaculture intensification, crowding, fish domestication, gene expression, HPI axis, stress response 31 10 2019 2019-10-31 10.1111/eva.12830 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2022-12-05T16:04:02.9899104 2019-07-18T19:11:18.0434851 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Deiene Rodriguez‐Barreto 1 Olivier Rey 2 Tamsyn Uren Webster 0000-0002-0072-9745 3 Giovanni Castaldo 4 Sonia Consuegra 5 Carlos Garcia De Leaniz 0000-0003-1650-2729 6 Sofia Consuegra del Olmo 0000-0003-4403-2509 7 0051134-25092019145810.pdf 51134.pdf 2019-09-25T14:58:10.0830000 Output 1092955 application/pdf Version of Record true 2019-09-24T00:00:00.0000000 Released under the terms of a Creative Commons Attribution License (CC-BY). true eng |
title |
Transcriptomic response to aquaculture intensification in Nile tilapia |
spellingShingle |
Transcriptomic response to aquaculture intensification in Nile tilapia Tamsyn Uren Webster Carlos Garcia De Leaniz Sofia Consuegra del Olmo |
title_short |
Transcriptomic response to aquaculture intensification in Nile tilapia |
title_full |
Transcriptomic response to aquaculture intensification in Nile tilapia |
title_fullStr |
Transcriptomic response to aquaculture intensification in Nile tilapia |
title_full_unstemmed |
Transcriptomic response to aquaculture intensification in Nile tilapia |
title_sort |
Transcriptomic response to aquaculture intensification in Nile tilapia |
author_id_str_mv |
3ea91c154926c86f89ea6a761122ecf6 1c70acd0fd64edb0856b7cf34393ab02 241f2810ab8f56be53ca8af23e384c6e |
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3ea91c154926c86f89ea6a761122ecf6_***_Tamsyn Uren Webster 1c70acd0fd64edb0856b7cf34393ab02_***_Carlos Garcia De Leaniz 241f2810ab8f56be53ca8af23e384c6e_***_Sofia Consuegra del Olmo |
author |
Tamsyn Uren Webster Carlos Garcia De Leaniz Sofia Consuegra del Olmo |
author2 |
Deiene Rodriguez‐Barreto Olivier Rey Tamsyn Uren Webster Giovanni Castaldo Sonia Consuegra Carlos Garcia De Leaniz Sofia Consuegra del Olmo |
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To meet future global demand for fish protein, more fish will need to be farmed usingfewer resources, and this will require the selection of nonaggressive individuals thatperform well at high densities. Yet, the genetic changes underlying loss of aggressionand adaptation to crowding during aquaculture intensification are largely unknown.We examined the transcriptomic response to aggression and crowding in Nile tilapia,one of the oldest and most widespread farmed fish, whose social structure shiftsfrom social hierarchies to shoaling with increasing density. A mirror test was usedto quantify aggression and skin darkening (a proxy for stress) of fish reared at lowand high densities, and gene expression in the hypothalamus was analysed amongthe most and least aggressive fish at each density. Fish reared at high density weredarker, had larger brains, were less active and less aggressive than those reared atlow density and had differentially expressed genes consistent with a reactive stress-copingstyle and activation of the hypothalamus–pituitary–interrenal (HPI) axis.Differences in gene expression among aggressive fish were accounted for by densityand the interaction between density and aggression levels, whereas for non-aggressivefish differences in gene expression were associated with individual variation inskin brightness and social stress. Thus, the response to crowding in Nile tilapia iscontext dependent and involves different neuro-endocrine pathways, depending onsocial status. Knowledge of genes associated with the response to crowding maypave the way for more efficient fish domestication, based on the selection of non-aggressiveindividuals with increasing tolerance to chronic stress necessary for aquacultureintensification. |
published_date |
2019-10-31T19:45:55Z |
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11.04748 |