-
Je něco špatně v tomto záznamu ?
A novel transcriptome-derived SNPs array for tench (Tinca tinca L.)
G. Kumar, J. Langa, I. Montes, D. Conklin, M. Kocour, K. Kohlmann, A. Estonba,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2006
Free Medical Journals
od 2006
Public Library of Science (PLoS)
od 2006
PubMed Central
od 2006
Europe PubMed Central
od 2006
ProQuest Central
od 2006-12-01
Open Access Digital Library
od 2006-01-01
Open Access Digital Library
od 2006-01-01
Open Access Digital Library
od 2006-10-01
Medline Complete (EBSCOhost)
od 2008-01-01
Nursing & Allied Health Database (ProQuest)
od 2006-12-01
Health & Medicine (ProQuest)
od 2006-12-01
Public Health Database (ProQuest)
od 2006-12-01
ROAD: Directory of Open Access Scholarly Resources
od 2006
- MeSH
- chov MeSH
- Cyprinidae klasifikace genetika MeSH
- druhová specificita MeSH
- fylogeneze MeSH
- genetické markery MeSH
- genom MeSH
- genová ontologie MeSH
- jednonukleotidový polymorfismus MeSH
- populační genetika MeSH
- rybářství MeSH
- transkriptom MeSH
- zvířata MeSH
- Check Tag
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika MeSH
Tench (Tinca tinca L.) has great economic potential due to its high rate of fecundity and long-life span. Population genetic studies based on allozymes, microsatellites, PCR-RFLP and sequence analysis of genes and DNA fragments have revealed the presence of Eastern and Western phylogroups. However, the lack of genomic resources for this species has complicated the development of genetic markers. In this study, the tench transcriptome and genome were sequenced by high-throughput sequencing. A total of 60,414 putative SNPs were identified in the tench transcriptome using a computational pipeline. A set of 96 SNPs was selected for validation and a total of 92 SNPs was validated, resulting in the highest conversion and validation rate for a non-model species obtained to date (95.83%). The validated SNPs were used to genotype 140 individuals belonging to two tench breeds (Tabor and Hungarian), showing low (FST = 0.0450) but significant (<0.0001) genetic differentiation between the two tench breeds. This implies that set of validated SNPs array can be used to distinguish the tench breeds and that it might be useful for studying a range of associations between DNA sequence and traits of importance. These genomic resources created for the tench will provide insight into population genetics, conservation fish stock management, and aquaculture.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19044933
- 003
- CZ-PrNML
- 005
- 20200113081505.0
- 007
- ta
- 008
- 200109s2019 xxu f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1371/journal.pone.0213992 $2 doi
- 035 __
- $a (PubMed)30889192
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Kumar, Girish $u Research Institute of Fish Culture and Hydrobiology, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in Ceske Budejovice, Czech Republic.
- 245 12
- $a A novel transcriptome-derived SNPs array for tench (Tinca tinca L.) / $c G. Kumar, J. Langa, I. Montes, D. Conklin, M. Kocour, K. Kohlmann, A. Estonba,
- 520 9_
- $a Tench (Tinca tinca L.) has great economic potential due to its high rate of fecundity and long-life span. Population genetic studies based on allozymes, microsatellites, PCR-RFLP and sequence analysis of genes and DNA fragments have revealed the presence of Eastern and Western phylogroups. However, the lack of genomic resources for this species has complicated the development of genetic markers. In this study, the tench transcriptome and genome were sequenced by high-throughput sequencing. A total of 60,414 putative SNPs were identified in the tench transcriptome using a computational pipeline. A set of 96 SNPs was selected for validation and a total of 92 SNPs was validated, resulting in the highest conversion and validation rate for a non-model species obtained to date (95.83%). The validated SNPs were used to genotype 140 individuals belonging to two tench breeds (Tabor and Hungarian), showing low (FST = 0.0450) but significant (<0.0001) genetic differentiation between the two tench breeds. This implies that set of validated SNPs array can be used to distinguish the tench breeds and that it might be useful for studying a range of associations between DNA sequence and traits of importance. These genomic resources created for the tench will provide insight into population genetics, conservation fish stock management, and aquaculture.
- 650 _2
- $a zvířata $7 D000818
- 650 _2
- $a chov $7 D001947
- 650 _2
- $a Cyprinidae $x klasifikace $x genetika $7 D003530
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a rybářství $7 D005398
- 650 _2
- $a genová ontologie $7 D063990
- 650 _2
- $a genetické markery $7 D005819
- 650 _2
- $a populační genetika $7 D005828
- 650 _2
- $a genom $7 D016678
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a fylogeneze $7 D010802
- 650 _2
- $a jednonukleotidový polymorfismus $7 D020641
- 650 _2
- $a druhová specificita $7 D013045
- 650 _2
- $a transkriptom $7 D059467
- 651 _2
- $a Česká republika $7 D018153
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Langa, Jorge $u Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa-Bilbao, Bizkaia, Spain.
- 700 1_
- $a Montes, Iratxe $u Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa-Bilbao, Bizkaia, Spain.
- 700 1_
- $a Conklin, Darrell $u Department of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, San Sebastian, Gipuzkoa, Spain. IKERBASQUE, Basque Foundation for Science, Bilbao, Bizkaia, Spain.
- 700 1_
- $a Kocour, Martin $u Research Institute of Fish Culture and Hydrobiology, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in Ceske Budejovice, Czech Republic.
- 700 1_
- $a Kohlmann, Klaus $u Department of Aquaculture and Ecophysiology, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany.
- 700 1_
- $a Estonba, Andone $u Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa-Bilbao, Bizkaia, Spain.
- 773 0_
- $w MED00180950 $t PloS one $x 1932-6203 $g Roč. 14, č. 3 (2019), s. e0213992
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/30889192 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20200109 $b ABA008
- 991 __
- $a 20200113081837 $b ABA008
- 999 __
- $a ok $b bmc $g 1483202 $s 1083606
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2019 $b 14 $c 3 $d e0213992 $e 20190319 $i 1932-6203 $m PLoS One $n PLoS One $x MED00180950
- LZP __
- $a Pubmed-20200109