dc.contributor.author	Hamilton, Matthew G.
dc.contributor.author	Mekkawy, Wagdy
dc.contributor.author	Benzie, John A. H.
dc.contributor.funder	European Commission	en
dc.contributor.funder	United States Agency for International Development	en
dc.contributor.funder	International Fund for Agricultural Development	en
dc.contributor.funder	Consultative Group on International Agricultural Research (CGIAR)	en
dc.date.accessioned	2019-11-19T12:10:54Z
dc.date.available	2019-11-19T12:10:54Z
dc.date.issued	2019-04-29
dc.description.abstract	Catla catla (Hamilton) fertilised spawn was collected from the Halda, Jamuna and Padma rivers in Bangladesh from which approximately 900 individuals were retained as ‘candidate founders’ of a breeding population. These fish were fin-clipped and genotyped using the DArTseq platform to obtain, 3048 single nucleotide polymorphisms (SNPs) and 4726 silicoDArT markers. Using SNP data, individuals that shared no putative parents were identified using the program COLONY, i.e. 140, 47 and 23 from the Halda, Jamuna and Padma rivers, respectively. Allele frequencies from these individuals were considered as representative of those of the river populations, and genomic relationship matrices were generated. Then, half-sibling and full-sibling relationships between individuals were assigned manually based on the genomic relationship matrices. Many putative half-sibling and full-sibling relationships were found between individuals from the Halda and Jamuna rivers, which suggests that catla sampled from rivers as spawn are not necessarily representative of river populations. This has implications for the interpretation of past population genetics studies, the sampling strategies to be adopted in future studies and the management of broodstock sourced as river spawn in commercial hatcheries. Using data from individuals that shared no putative parents, overall multi-locus pairwise estimates of Wright’s fixation index (FST) were low (≤ 0.013) and the optimum number of clusters using unsupervised K-means clustering was equal to 1, which indicates little genetic divergence among the SNPs included in our study within and among river populations.	en
dc.description.status	Peer reviewed	en
dc.description.version	Published Version	en
dc.format.mimetype	application/pdf	en
dc.identifier.articleid	17	en
dc.identifier.citation	Hamilton, M.G., Mekkawy, W. and Benzie, J.A., 2019. Sibship assignment to the founders of a Bangladeshi Catla catla breeding population. Genetics Selection Evolution, 51(1), (17). DOI:10.1186/s12711-019-0454-x	en
dc.identifier.doi	10.1186/s12711-019-0454-x	en
dc.identifier.eissn	1297-9686
dc.identifier.endpage	8	en
dc.identifier.issn	0999-193X
dc.identifier.issued	1	en
dc.identifier.journaltitle	Genetics Selection Evolution	en
dc.identifier.startpage	1	en
dc.identifier.uri	https://hdl.handle.net/10468/9093
dc.identifier.volume	51	en
dc.language.iso	en	en
dc.publisher	BMC part of Springer Nature	en
dc.relation.uri	https://gsejournal.biomedcentral.com/articles/10.1186/s12711-019-0454-x
dc.rights	© The Author(s) 2019	en
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated	en
dc.subject	Bangladesh	en
dc.subject	Catla catla (Hamilton)	en
dc.subject	Breeding population	en
dc.title	Sibship assignment to the founders of a Bangladeshi Catla catla breeding population	en
dc.type	Article (peer-reviewed)	en

Sibship assignment to the founders of a Bangladeshi Catla catla breeding population

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