Cargando…
Genome Sequencing of Blacklip and Greenlip Abalone for Development and Validation of a SNP Based Genotyping Tool
Abalone breeding in southern Australia often involves the production of interspecies hybrids through crossing blacklip (Haliotos rubra) and greenlip (H. laevigata) parental populations. To assist applied breeding and investigate genetic divergence, this study applied genome sequencing and variant de...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328477/ https://www.ncbi.nlm.nih.gov/pubmed/30662453 http://dx.doi.org/10.3389/fgene.2018.00687 |
_version_ | 1783386648963186688 |
---|---|
author | Kijas, James Hamilton, Matthew Botwright, Natasha King, Harry McPherson, Luke Krsinich, Anton McWilliam, Sean |
author_facet | Kijas, James Hamilton, Matthew Botwright, Natasha King, Harry McPherson, Luke Krsinich, Anton McWilliam, Sean |
author_sort | Kijas, James |
collection | PubMed |
description | Abalone breeding in southern Australia often involves the production of interspecies hybrids through crossing blacklip (Haliotos rubra) and greenlip (H. laevigata) parental populations. To assist applied breeding and investigate genetic divergence, this study applied genome sequencing and variant detection to develop and validate a SNP genotyping tool. Skim short read Illumina sequencing was performed using 24 individuals from each of the two parental species and a hybrid population. Raw reads were assembled into three population specific pools (each 12–15 fold coverage), before mapping was performed against a draft greenlip abalone reference genome. Variant detection identified 22.4 M raw variants across the three populations (SNP and indels), suggesting they are highly heterozygous. First stage filtering defined a high quality SNP collection of 2.2 M variants independently called in each of the three populations. Second stage filtering identified a much smaller set of variants for assay design and genotyping using a validation set of 191 abalone of known population and pedigree. Comparison of allele frequency data revealed a high proportion of SNP (43%) had divergent allele frequency (< 0.2) between the two parental populations, suggesting they should have utility for parentage assignment. A maximum likelihood approach was used to successfully assign 105 of 105 progeny to their known true parent amongst a set of 86 candidate parents, confirming the genotyping tool has utility for applied breeding. Analysis of pairwise allele sharing successfully discriminated animals into populations, and PCA of genetic distance grouped the hybrid animals with intermediate values between the two parental populations. The findings present a library of DNA polymorphism of utility to breeding and ecological application, and begins to characterize the divergence separating two economically important aquaculture species. |
format | Online Article Text |
id | pubmed-6328477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63284772019-01-18 Genome Sequencing of Blacklip and Greenlip Abalone for Development and Validation of a SNP Based Genotyping Tool Kijas, James Hamilton, Matthew Botwright, Natasha King, Harry McPherson, Luke Krsinich, Anton McWilliam, Sean Front Genet Genetics Abalone breeding in southern Australia often involves the production of interspecies hybrids through crossing blacklip (Haliotos rubra) and greenlip (H. laevigata) parental populations. To assist applied breeding and investigate genetic divergence, this study applied genome sequencing and variant detection to develop and validate a SNP genotyping tool. Skim short read Illumina sequencing was performed using 24 individuals from each of the two parental species and a hybrid population. Raw reads were assembled into three population specific pools (each 12–15 fold coverage), before mapping was performed against a draft greenlip abalone reference genome. Variant detection identified 22.4 M raw variants across the three populations (SNP and indels), suggesting they are highly heterozygous. First stage filtering defined a high quality SNP collection of 2.2 M variants independently called in each of the three populations. Second stage filtering identified a much smaller set of variants for assay design and genotyping using a validation set of 191 abalone of known population and pedigree. Comparison of allele frequency data revealed a high proportion of SNP (43%) had divergent allele frequency (< 0.2) between the two parental populations, suggesting they should have utility for parentage assignment. A maximum likelihood approach was used to successfully assign 105 of 105 progeny to their known true parent amongst a set of 86 candidate parents, confirming the genotyping tool has utility for applied breeding. Analysis of pairwise allele sharing successfully discriminated animals into populations, and PCA of genetic distance grouped the hybrid animals with intermediate values between the two parental populations. The findings present a library of DNA polymorphism of utility to breeding and ecological application, and begins to characterize the divergence separating two economically important aquaculture species. Frontiers Media S.A. 2019-01-04 /pmc/articles/PMC6328477/ /pubmed/30662453 http://dx.doi.org/10.3389/fgene.2018.00687 Text en Copyright © 2019 Kijas, Hamilton, Botwright, King, McPherson, Krsinich and McWilliam. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Kijas, James Hamilton, Matthew Botwright, Natasha King, Harry McPherson, Luke Krsinich, Anton McWilliam, Sean Genome Sequencing of Blacklip and Greenlip Abalone for Development and Validation of a SNP Based Genotyping Tool |
title | Genome Sequencing of Blacklip and Greenlip Abalone for Development and Validation of a SNP Based Genotyping Tool |
title_full | Genome Sequencing of Blacklip and Greenlip Abalone for Development and Validation of a SNP Based Genotyping Tool |
title_fullStr | Genome Sequencing of Blacklip and Greenlip Abalone for Development and Validation of a SNP Based Genotyping Tool |
title_full_unstemmed | Genome Sequencing of Blacklip and Greenlip Abalone for Development and Validation of a SNP Based Genotyping Tool |
title_short | Genome Sequencing of Blacklip and Greenlip Abalone for Development and Validation of a SNP Based Genotyping Tool |
title_sort | genome sequencing of blacklip and greenlip abalone for development and validation of a snp based genotyping tool |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328477/ https://www.ncbi.nlm.nih.gov/pubmed/30662453 http://dx.doi.org/10.3389/fgene.2018.00687 |
work_keys_str_mv | AT kijasjames genomesequencingofblacklipandgreenlipabalonefordevelopmentandvalidationofasnpbasedgenotypingtool AT hamiltonmatthew genomesequencingofblacklipandgreenlipabalonefordevelopmentandvalidationofasnpbasedgenotypingtool AT botwrightnatasha genomesequencingofblacklipandgreenlipabalonefordevelopmentandvalidationofasnpbasedgenotypingtool AT kingharry genomesequencingofblacklipandgreenlipabalonefordevelopmentandvalidationofasnpbasedgenotypingtool AT mcphersonluke genomesequencingofblacklipandgreenlipabalonefordevelopmentandvalidationofasnpbasedgenotypingtool AT krsinichanton genomesequencingofblacklipandgreenlipabalonefordevelopmentandvalidationofasnpbasedgenotypingtool AT mcwilliamsean genomesequencingofblacklipandgreenlipabalonefordevelopmentandvalidationofasnpbasedgenotypingtool |