1
|
Wang H, Wang Q, Tan X, Wang J, Zhang J, Zheng M, Zhao G, Wen J. Estimation of genetic variability and identification of regions under selection based on runs of homozygosity in Beijing-You Chickens. Poult Sci 2022; 102:102342. [PMID: 36470032 PMCID: PMC9719870 DOI: 10.1016/j.psj.2022.102342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 11/08/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
The genetic composition of populations is the result of a long-term process of selection and adaptation to specific environments and ecosystems. Runs of homozygosity (ROHs) are homozygous segments of the genome where the 2 haplotypes inherited from the parents are identical. The detection of ROH can be used to describe the genetic variability and quantify the level of inbreeding in an individual. Here, we investigated the occurrence and distribution of ROHs in 40 Beijing-You Chickens from the random breeding population (BJY_C) and 40 Beijing-You Chickens from the intramuscular fat (IMF) selection population (BJY_S). Principal component analysis (PCA) and maximum likelihood (ML) analyses showed that BJY_C was completely separated from the BJY_S. The nucleotide diversity of BJY_C was higher than that of BJY_S, and the decay rate of LD of BJY_C was faster. The ROHs were identified for a total of 7,101 in BJY_C and 9,273 in BJY_S, respectively. The ROH-based inbreeding estimate (FROH) of BJY_C was 0.079, which was significantly lower than that of BJY_S (FROH = 0.114). The results were the same as the estimates of the inbreeding coefficients calculated based on homozygosity (FHOM), the correlation between uniting gametes (FUNI), and the genomic relationship matrix (FGRM). Additionally, the distribution and number of ROH islands in chromosomes of BJY_C and BJY_S were significantly different. The ROH islands of BJY_S that included genes associated with lipid metabolism and fat deposition, such as CIDEA and S1PR1, were absent in BJY_C. However, GPR161 was detected in both populations, which is a candidate gene for the formation of the unique five-finger trait in Beijing-You chickens. Our findings contributed to the understanding of the genetic diversity of random or artificially selected populations, and allowed the accurate monitoring of population inbreeding using genomic information, as well as the detection of genomic regions that affect traits under selection.
Collapse
Affiliation(s)
- Hailong Wang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Qiao Wang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Xiaodong Tan
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Jie Wang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Jin Zhang
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Maiqing Zheng
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Guiping Zhao
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China
| | - Jie Wen
- Chinese Academy of Agricultural Science, State Key Laboratory of Animal Nutrition, Beijing 100193, China.
| |
Collapse
|
2
|
Stabilizing selection on Atlantic cod supergenes through a millennium of extensive exploitation. Proc Natl Acad Sci U S A 2022; 119:2114904119. [PMID: 35165196 PMCID: PMC8872764 DOI: 10.1073/pnas.2114904119] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/04/2022] [Indexed: 12/21/2022] Open
Abstract
Ecological disruption due to human impacts is evident worldwide, and a key to mitigation lies in characterizing the underlying mechanisms of species and ecosystem stability. Here we show that three extensive “supergenes” are maintained in Atlantic cod by stabilizing selection, tying these genes to the persistence of a keystone species distributed across the northern Atlantic Ocean. Removal of this species has caused severe ecosystem reshuffling in several areas of its range. Genomic inference of historic stock sizes further shows that cod has been under pressure in the North Sea system since the Viking period, in line with zooarchaeological records. Expansion of fisheries in Northern Europe through the past millennium is well documented and supports the inferred long-term declines. Life on Earth has been characterized by recurring cycles of ecological stasis and disruption, relating biological eras to geological and climatic transitions through the history of our planet. Due to the increasing degree of ecological abruption caused by human influences many advocate that we now have entered the geological era of the Anthropocene, or “the age of man.” Considering the ongoing mass extinction and ecosystem reshuffling observed worldwide, a better understanding of the drivers of ecological stasis will be a requisite for identifying routes of intervention and mitigation. Ecosystem stability may rely on one or a few keystone species, and the loss of such species could potentially have detrimental effects. The Atlantic cod (Gadus morhua) has historically been highly abundant and is considered a keystone species in ecosystems of the northern Atlantic Ocean. Collapses of cod stocks have been observed on both sides of the Atlantic and reported to have detrimental effects that include vast ecosystem reshuffling. By whole-genome resequencing we demonstrate that stabilizing selection maintains three extensive “supergenes” in Atlantic cod, linking these genes to species persistence and ecological stasis. Genomic inference of historic effective population sizes shows continued declines for cod in the North Sea–Skagerrak–Kattegat system through the past millennia, consistent with an early onset of the marine Anthropocene through industrialization and commercialization of fisheries throughout the medieval period.
Collapse
|
3
|
O’Donnell TP, Sullivan TJ. Low-coverage whole-genome sequencing reveals molecular markers for spawning season and sex identification in Gulf of Maine Atlantic cod ( Gadus morhua, Linnaeus 1758). Ecol Evol 2021; 11:10659-10671. [PMID: 34367604 PMCID: PMC8328444 DOI: 10.1002/ece3.7878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 06/17/2021] [Accepted: 06/18/2021] [Indexed: 11/28/2022] Open
Abstract
Atlantic cod (Gadus morhua, Linnaeus 1758) in the western Gulf of Maine are managed as a single stock despite several lines of evidence supporting two spawning groups (spring and winter) that overlap spatially, while exhibiting seasonal spawning isolation. Low-coverage whole-genome sequencing was used to evaluate the genomic population structure of Atlantic cod spawning groups in the western Gulf of Maine and Georges Bank using 222 individuals collected over multiple years. Results indicated low total genomic differentiation, while also showing strong differentiation between spring and winter-spawning groups at specific regions of the genome. Guided regularized random forest and ranked F ST methods were used to select panels of single nucleotide polymorphisms (SNPs) that could reliably distinguish spring and winter-spawning Atlantic cod (88.5% assignment rate), as well as males and females (95.0% assignment rate) collected in the western Gulf of Maine. These SNP panels represent a valuable tool for fisheries research and management of Atlantic cod in the western Gulf of Maine that will aid investigations of stock production and support accuracy of future assessments.
Collapse
Affiliation(s)
| | - Timothy J. Sullivan
- Gloucester Marine Genomics InstituteGloucesterMAUSA
- USDA – National Institute of Food and AgricultureKansas CityMOUSA
| |
Collapse
|
4
|
Johansen T, Besnier F, Quintela M, Jorde PE, Glover KA, Westgaard J, Dahle G, Lien S, Kent MP. Genomic analysis reveals neutral and adaptive patterns that challenge the current management regime for East Atlantic cod Gadus morhua L. Evol Appl 2020; 13:2673-2688. [PMID: 33294016 PMCID: PMC7691467 DOI: 10.1111/eva.13070] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 07/12/2020] [Accepted: 07/13/2020] [Indexed: 01/03/2023] Open
Abstract
Challenging long-held perceptions of fish management units can help to protect vulnerable stocks. When a fishery consisting of multiple genetic stocks is managed as a single unit, overexploitation and depletion of minor genetic units can occur. Atlantic cod (Gadus morhua) is an economically and ecologically important marine species across the North Atlantic. The application of new genomic resources, including SNP arrays, allows us to detect and explore novel structure within specific cod management units. In Norwegian waters, coastal cod (i.e. those not undertaking extensive migrations) are divided into two arbitrary management units defined by ICES: one between 62° and 70°N (Norwegian coastal cod; NCC) and one between 58° and 62°N (Norwegian coastal south; NCS). Together, these capture a fishery area of >25,000 km2 containing many spawning grounds. To assess whether these geographic units correctly represent genetic stocks, we analysed spawning cod of NCC and NCS for more than 8,000 SNPs along with samples of Russian White Sea cod, north-east Arctic cod (NEAC: the largest Atlantic stock), and outgroup samples representing the Irish and Faroe Sea's. Our analyses revealed large differences in spatial patterns of genetic differentiation across the genome and revealed a complex biological structure within NCC and NCS. Haplotype maps from four chromosome sets show regional specific SNP indicating a complex genetic structure. The current management plan dividing the coastal cod into only two management units does not accurately reflect the genetic units and needs to be revised. Coastal cod in Norway, while highly heterogenous, is also genetically distinct from neighbouring stocks in the north (NEAC), west (Faroe Island) and the south. The White Sea cod are highly divergent from other cod, possibly yielding support to the earlier notion of subspecies rank.
Collapse
Affiliation(s)
| | | | | | | | - Kevin A. Glover
- Institute of Marine Research (IMR)BergenNorway
- Department of BiologyUniversity of BergenBergenNorway
| | | | - Geir Dahle
- Institute of Marine Research (IMR)BergenNorway
- Department of BiologyUniversity of BergenBergenNorway
| | - Sigbjørn Lien
- Department of Animal and Aquaculture SciencesFaculty of BiosciencesCentre for Integrative GeneticsNorwegian University of Life SciencesÅsNorway
| | - Matthew P. Kent
- Department of Animal and Aquaculture SciencesFaculty of BiosciencesCentre for Integrative GeneticsNorwegian University of Life SciencesÅsNorway
| |
Collapse
|
5
|
Otterå H, Johansen T, Folkvord A, Dahle G, Solvang Bingh MK, Westgaard JI, Glover KA. The pantophysin gene and its relationship with survival in early life stages of Atlantic cod. ROYAL SOCIETY OPEN SCIENCE 2020; 7:191983. [PMID: 33204437 PMCID: PMC7657904 DOI: 10.1098/rsos.191983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 09/21/2020] [Indexed: 06/11/2023]
Abstract
Genetic markers are widely used in fisheries management around the world. While the genetic structure and markers selected are usually based on samples from the wild, very few controlled experiments have been carried out to investigate possible differences in influence on traits between markers. Here we examine the bi-allelic gene pantophysin (Pan I), widely used in the management of Atlantic cod, in a series of in vitro crosses under a range of temperatures. It has been proposed that this gene, or another tightly linked gene, may be under strong divergent selection. Resolving this issue is essential in order to interpret results when using this gene marker for stock management. We found no evidence of departure from the expected 1 : 2 : 1 Mendelian ratio for any of the three genotypes during the egg stage, while both the 6 and 12°C temperature regimes in tank experiments favoured the survival of the Pan IAA genotype. No difference in genotype survival was, however, found in a more natural mesocosm environment. Collectively, these results suggest that for the early life stages of Atlantic cod, and under the current experimental conditions, there is no strong consistent influence of Pan I genotype on survival. The results also emphasize the importance of varied experimental studies to verify the importance of environmental factors influencing genotype selection.
Collapse
Affiliation(s)
- Håkon Otterå
- Institute of Marine Research, POB 1870, 5817 Bergen, Norway
| | - Torild Johansen
- Institute of Marine Research, Tromsø Division, Framsenteret 9296 Tromsø, Norway
| | - Arild Folkvord
- Institute of Marine Research, POB 1870, 5817 Bergen, Norway
- Department of Biological Sciences, University of Bergen, Thormøhlensgt. 53, 5020Bergen
| | - Geir Dahle
- Institute of Marine Research, POB 1870, 5817 Bergen, Norway
| | | | - Jon-Ivar Westgaard
- Institute of Marine Research, Tromsø Division, Framsenteret 9296 Tromsø, Norway
| | - Kevin A. Glover
- Institute of Marine Research, POB 1870, 5817 Bergen, Norway
- Department of Biological Sciences, University of Bergen, Thormøhlensgt. 53, 5020Bergen
| |
Collapse
|
6
|
Wenne R, Bernaś R, Kijewska A, Poćwierz-Kotus A, Strand J, Petereit C, Plauška K, Sics I, Árnyasi M, Kent MP. SNP genotyping reveals substructuring in weakly differentiated populations of Atlantic cod (Gadus morhua) from diverse environments in the Baltic Sea. Sci Rep 2020; 10:9738. [PMID: 32546719 PMCID: PMC7298039 DOI: 10.1038/s41598-020-66518-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 05/11/2020] [Indexed: 01/02/2023] Open
Abstract
Atlantic cod (Gadus morhua) is one of the most important fish species in northern Europe for several reasons including its predator status in marine ecosystems, its historical role in fisheries, its potential in aquaculture and its strong public profile. However, due to over-exploitation in the North Atlantic and changes in the ecosystem, many cod populations have been reduced in size and genetic diversity. Cod populations in the Baltic Proper, Kattegat and North Sea have been analyzed using a species specific single nucleotide polymorphism (SNP) array. Using a subset of 8,706 SNPs, moderate genetic differences were found between subdivisions in three traditionally delineated cod management stocks: Kattegat, western and eastern Baltic. However, an FST measure of population differentiation based on allele frequencies from 588 outlier loci for 2 population groups, one including 5 western and the other 4 eastern Baltic populations, indicated high genetic differentiation. In this paper, differentiation has been demonstrated not only between, but also within western and eastern Baltic cod stocks for the first time, with salinity appearing to be the most important environmental factor influencing the maintenance of cod population divergence between the western and eastern Baltic Sea.
Collapse
Affiliation(s)
- Roman Wenne
- Institute of Oceanology, Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland.
| | - Rafał Bernaś
- Department of Migratory Fishes in Rutki, Inland Fisheries Institute, Olsztyn, 10-719, Poland
| | - Agnieszka Kijewska
- Institute of Oceanology, Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland
| | - Anita Poćwierz-Kotus
- Institute of Oceanology, Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland
| | - Jakob Strand
- Arctic Research Centre, Department of Bioscience, Aarhus University, Frederiksborgvej 399, 4000, Roskilde, Denmark
| | - Christoph Petereit
- GEOMAR, Helmholtz Centre for Ocean Research Kiel, Research Division 3: Marine Ecology, Research Unit: Evolutionary Ecology of Marine Fishes, Düsternbrooker Weg 20, 24105, Kiel, Germany
- Bruno-Lorenzen-Schule Schleswig, Spielkoppel 6, 24837, Schleswig, Germany
| | - Kęstas Plauška
- Fisheries Service under the Ministry of Agriculture Division of Fisheries Research & Science, Smiltynes 1, 91001, Klaipeda, Lithuania
| | - Ivo Sics
- Institute of Food Safety, Animal Health and Environment "BIOR", Riga, Latvia
| | - Mariann Árnyasi
- Centre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences (IHA), Faculty of Life Sciences (BIOVIT), Norwegian University of Life Sciences (NMBU), PO Box, 5003, Aas, Norway
| | - Matthew P Kent
- Centre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences (IHA), Faculty of Life Sciences (BIOVIT), Norwegian University of Life Sciences (NMBU), PO Box, 5003, Aas, Norway
| |
Collapse
|