Genetics Selection Evolution ( IF 4.1 ) Pub Date : 2023-04-11 , DOI: 10.1186/s12711-023-00800-7 Tuan V Nguyen 1 , Christy J Vander Jagt 1 , Jianghui Wang 1 , Hans D Daetwyler 1, 2 , Ruidong Xiang 1, 3 , Michael E Goddard 1, 3 , Loan T Nguyen 4 , Elizabeth M Ross 4 , Ben J Hayes 4 , Amanda J Chamberlain 1, 2 , Iona M MacLeod 1
Correction: Genetic Selection Evolution (2023) 55:9 https://doi.org/10.1186/s12711-023-00783-5
After publication of original article [1], the authors identified two errors in the paper.
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1.
Under the heading Building long‑read reference populations for SV discovery, phasing and imputation, point number 2, “Existing short read databases with many sequenced individuals would continue to be invaluable for imputation of small sequence variants (e.g., 1000 Bull Genomes Project now includes over 9000 genomes)”, there is an error in the number of genomes included in the current version 1000 Bull Genomes Project, i.e. the correct number is 6191 genomes in Run 9.
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2.
Reference 95 i.e. Lamb HJ, Hayes BJ, Randhawa IAS, Nguyen LT, Ross EM. Genomic prediction using low-coverage portable Nanopore sequencing. PLoS ONE. 2021;16:e0261274 cited in Table 1 for the polled allele in Brahman is incorrect. The correct reference 95 is supplied below:
Lamb HJ, Ross EM, Nguyen LT, Lyons RE, Moore SS, Hayes BJ. Characterization of the poll allele in Brahman cattle using long-read Oxford Nanopore sequencing. J Anim Sci. 2020;98:skaa127.
Nguyen TV, Vander Jagt CJ, Wang J, Daetwyler HD, Xiang R, Goddard ME, et al. In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants. Genet Sel Evol. 2023;55:9. https://doi.org/10.1186/s12711-023-00783-5.
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Authors and Affiliations
Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, 3083, Australia
Tuan V. Nguyen, Christy J. Vander Jagt, Jianghui Wang, Hans D. Daetwyler, Ruidong Xiang, Michael E. Goddard, Amanda J. Chamberlain & Iona M. MacLeod
School of Applied Systems Biology, La Trobe University, Bundoora, VIC, 3083, Australia
Hans D. Daetwyler & Amanda J. Chamberlain
Faculty of Veterinary & Agricultural Science, The University of Melbourne, Parkville, VIC, 3052, Australia
Ruidong Xiang & Michael E. Goddard
Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, 4072, Australia
Loan T. Nguyen, Elizabeth M. Ross & Ben J. Hayes
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Correspondence to Tuan V. Nguyen.
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Nguyen, T.V., Vander Jagt, C.J., Wang, J. et al. Correction: In it for the long run: perspectives on exploiting long-read sequencing in livestock for population scale studies of structural variants. Genet Sel Evol 55, 25 (2023). https://doi.org/10.1186/s12711-023-00800-7
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中文翻译:
更正:从长远来看:利用家畜长读长测序进行结构变异种群规模研究的观点
更正:遗传选择进化(2023)55:9 https://doi.org/10.1186/s12711-023-00783-5
在原始文章 [1] 发表后,作者发现了论文中的两个错误。
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1.
在为 SV 发现、定相和插补建立长读参考群体的标题下,第 2 点,“现有的包含许多测序个体的短读数据库对于小序列变异的插补将继续具有无可估量的价值(例如,1000 Bull Genomes Project 现在包括over 9000 genomes)”,当前版本1000 Bull Genomes Project中包含的基因组数量有错误,即Run 9中正确的数量是6191个基因组。
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2.
参考文献 95,即 Lamb HJ、Hayes BJ、Randhawa IAS、Nguyen LT、Ross EM。使用低覆盖率便携式纳米孔测序进行基因组预测。公共科学图书馆一号。2021;16:e0261274 在表 1 中引用的婆罗门轮询等位基因不正确。下面提供了正确的参考 95:
羔羊 HJ、Ross EM、Nguyen LT、Lyons RE、Moore SS、Hayes BJ。使用长读长牛津纳米孔测序法表征婆罗门牛的 poll 等位基因。J 动画科学。2020;98:skaa127。
Nguyen TV、Vander Jagt CJ、Wang J、Daetwyler HD、Xiang R、Goddard ME 等。从长远来看:利用牲畜的长读长测序进行结构变异的种群规模研究的观点。Genet Sel Evol。2023;55:9。https://doi.org/10.1186/s12711-023-00783-5。
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维多利亚州农业部,AgriBio,农业生物科学中心,Bundoora,VIC,3083,澳大利亚
Tuan V. Nguyen、Christy J. Vander Jagt、Jianghui Wang、Hans D. Daetwyler、Ruidong Xiang、Michael E. Goddard、Amanda J. Chamberlain 和 Iona M. MacLeod
拉筹伯大学应用系统生物学学院,Bundoora,VIC,3083,澳大利亚
Hans D. Daetwyler 和 Amanda J. Chamberlain
墨尔本大学兽医与农业科学学院,Parkville,VIC,3052,澳大利亚
向瑞东 & Michael E. Goddard
昆士兰农业和食品创新联盟,昆士兰大学,圣卢西亚,QLD,4072,澳大利亚
Loan T. Nguyen、Elizabeth M. Ross 和 Ben J. Hayes
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Nguyen, TV, Vander Jagt, CJ, Wang, J.等。更正:从长远来看:利用家畜长读长测序进行结构变异种群规模研究的观点。Genet Sel Evol 55 , 25 (2023)。https://doi.org/10.1186/s12711-023-00800-7
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