Detection and mapping of mtDNA SNPs in Atlantic salmon using high throughput DNA sequencing

Abstract Background Approximately half of the mitochondrial genome inherent within 546 individual Atlantic salmon ( Salmo salar ) derived from across the species' North Atlantic range, was selectively amplified with a novel combination of standard PCR and pyro-sequencing in a single run using 4...

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Published in:BMC Genomics
Main Authors: Olafsdottir Gudbjorg, Magnusdottir Steinunn, de Leaniz Carlos, Knox David, Consuegra Sonia, Bjornsdottir Snaedis, Tompsett Scott, Olafsson Kristinn, Fridjonsson Olafur, Verspoor Eric, Hjorleifsdottir Sigridur
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2011
Subjects:
Online Access:https://doi.org/10.1186/1471-2164-12-179
https://doaj.org/article/7f674ba8a1e141369ef8b19cc31c97c5
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spelling ftdoajarticles:oai:doaj.org/article:7f674ba8a1e141369ef8b19cc31c97c5 2023-05-15T15:31:12+02:00 Detection and mapping of mtDNA SNPs in Atlantic salmon using high throughput DNA sequencing Olafsdottir Gudbjorg Magnusdottir Steinunn de Leaniz Carlos Knox David Consuegra Sonia Bjornsdottir Snaedis Tompsett Scott Olafsson Kristinn Fridjonsson Olafur Verspoor Eric Hjorleifsdottir Sigridur 2011-04-01T00:00:00Z https://doi.org/10.1186/1471-2164-12-179 https://doaj.org/article/7f674ba8a1e141369ef8b19cc31c97c5 EN eng BMC http://www.biomedcentral.com/1471-2164/12/179 https://doaj.org/toc/1471-2164 doi:10.1186/1471-2164-12-179 1471-2164 https://doaj.org/article/7f674ba8a1e141369ef8b19cc31c97c5 BMC Genomics, Vol 12, Iss 1, p 179 (2011) Biotechnology TP248.13-248.65 Genetics QH426-470 article 2011 ftdoajarticles https://doi.org/10.1186/1471-2164-12-179 2022-12-31T04:34:43Z Abstract Background Approximately half of the mitochondrial genome inherent within 546 individual Atlantic salmon ( Salmo salar ) derived from across the species' North Atlantic range, was selectively amplified with a novel combination of standard PCR and pyro-sequencing in a single run using 454 Titanium FLX technology (Roche, 454 Life Sciences). A unique combination of barcoded primers and a partitioned sequencing plate was employed to designate each sequence read to its original sample. The sequence reads were aligned according to the S. salar mitochondrial reference sequence (NC_001960.1), with the objective of identifying single nucleotide polymorphisms (SNPs). They were validated if they met with the following three stringent criteria: (i) sequence reads were produced from both DNA strands; (ii) SNPs were confirmed in a minimum of 90% of replicate sequence reads; and (iii) SNPs occurred in more than one individual. Results Pyrosequencing generated a total of 179,826,884 bp of data, and 10,765 of the total 10,920 S. salar sequences (98.6%) were assigned back to their original samples. The approach taken resulted in a total of 216 SNPs and 2 indels, which were validated and mapped onto the S. salar mitochondrial genome, including 107 SNPs and one indel not previously reported. An average of 27.3 sequence reads with a standard deviation of 11.7 supported each SNP per individual. Conclusion The study generated a mitochondrial SNP panel from a large sample group across a broad geographical area, reducing the potential for ascertainment bias, which has hampered previous studies. The SNPs identified here validate those identified in previous studies, and also contribute additional potentially informative loci for the future study of phylogeography and evolution in the Atlantic salmon. The overall success experienced with this novel application of HT sequencing of targeted regions suggests that the same approach could be successfully applied for SNP mining in other species. Article in Journal/Newspaper Atlantic salmon North Atlantic Salmo salar Directory of Open Access Journals: DOAJ Articles Indel’ ENVELOPE(35.282,35.282,66.963,66.963) BMC Genomics 12 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Biotechnology
TP248.13-248.65
Genetics
QH426-470
spellingShingle Biotechnology
TP248.13-248.65
Genetics
QH426-470
Olafsdottir Gudbjorg
Magnusdottir Steinunn
de Leaniz Carlos
Knox David
Consuegra Sonia
Bjornsdottir Snaedis
Tompsett Scott
Olafsson Kristinn
Fridjonsson Olafur
Verspoor Eric
Hjorleifsdottir Sigridur
Detection and mapping of mtDNA SNPs in Atlantic salmon using high throughput DNA sequencing
topic_facet Biotechnology
TP248.13-248.65
Genetics
QH426-470
description Abstract Background Approximately half of the mitochondrial genome inherent within 546 individual Atlantic salmon ( Salmo salar ) derived from across the species' North Atlantic range, was selectively amplified with a novel combination of standard PCR and pyro-sequencing in a single run using 454 Titanium FLX technology (Roche, 454 Life Sciences). A unique combination of barcoded primers and a partitioned sequencing plate was employed to designate each sequence read to its original sample. The sequence reads were aligned according to the S. salar mitochondrial reference sequence (NC_001960.1), with the objective of identifying single nucleotide polymorphisms (SNPs). They were validated if they met with the following three stringent criteria: (i) sequence reads were produced from both DNA strands; (ii) SNPs were confirmed in a minimum of 90% of replicate sequence reads; and (iii) SNPs occurred in more than one individual. Results Pyrosequencing generated a total of 179,826,884 bp of data, and 10,765 of the total 10,920 S. salar sequences (98.6%) were assigned back to their original samples. The approach taken resulted in a total of 216 SNPs and 2 indels, which were validated and mapped onto the S. salar mitochondrial genome, including 107 SNPs and one indel not previously reported. An average of 27.3 sequence reads with a standard deviation of 11.7 supported each SNP per individual. Conclusion The study generated a mitochondrial SNP panel from a large sample group across a broad geographical area, reducing the potential for ascertainment bias, which has hampered previous studies. The SNPs identified here validate those identified in previous studies, and also contribute additional potentially informative loci for the future study of phylogeography and evolution in the Atlantic salmon. The overall success experienced with this novel application of HT sequencing of targeted regions suggests that the same approach could be successfully applied for SNP mining in other species.
format Article in Journal/Newspaper
author Olafsdottir Gudbjorg
Magnusdottir Steinunn
de Leaniz Carlos
Knox David
Consuegra Sonia
Bjornsdottir Snaedis
Tompsett Scott
Olafsson Kristinn
Fridjonsson Olafur
Verspoor Eric
Hjorleifsdottir Sigridur
author_facet Olafsdottir Gudbjorg
Magnusdottir Steinunn
de Leaniz Carlos
Knox David
Consuegra Sonia
Bjornsdottir Snaedis
Tompsett Scott
Olafsson Kristinn
Fridjonsson Olafur
Verspoor Eric
Hjorleifsdottir Sigridur
author_sort Olafsdottir Gudbjorg
title Detection and mapping of mtDNA SNPs in Atlantic salmon using high throughput DNA sequencing
title_short Detection and mapping of mtDNA SNPs in Atlantic salmon using high throughput DNA sequencing
title_full Detection and mapping of mtDNA SNPs in Atlantic salmon using high throughput DNA sequencing
title_fullStr Detection and mapping of mtDNA SNPs in Atlantic salmon using high throughput DNA sequencing
title_full_unstemmed Detection and mapping of mtDNA SNPs in Atlantic salmon using high throughput DNA sequencing
title_sort detection and mapping of mtdna snps in atlantic salmon using high throughput dna sequencing
publisher BMC
publishDate 2011
url https://doi.org/10.1186/1471-2164-12-179
https://doaj.org/article/7f674ba8a1e141369ef8b19cc31c97c5
long_lat ENVELOPE(35.282,35.282,66.963,66.963)
geographic Indel’
geographic_facet Indel’
genre Atlantic salmon
North Atlantic
Salmo salar
genre_facet Atlantic salmon
North Atlantic
Salmo salar
op_source BMC Genomics, Vol 12, Iss 1, p 179 (2011)
op_relation http://www.biomedcentral.com/1471-2164/12/179
https://doaj.org/toc/1471-2164
doi:10.1186/1471-2164-12-179
1471-2164
https://doaj.org/article/7f674ba8a1e141369ef8b19cc31c97c5
op_doi https://doi.org/10.1186/1471-2164-12-179
container_title BMC Genomics
container_volume 12
container_issue 1
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