Jesús Valdés-Hernández, Josep M. Folch, Daniel Crespo-Piazuelo, Magí Passols, Cristina Sebastià, Lourdes Criado-Mesas, Anna Castelló, Armand Sánchez, Yuliaxis Ramayo-Caldas
{"title":"Correction: Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis","authors":"Jesús Valdés-Hernández, Josep M. Folch, Daniel Crespo-Piazuelo, Magí Passols, Cristina Sebastià, Lourdes Criado-Mesas, Anna Castelló, Armand Sánchez, Yuliaxis Ramayo-Caldas","doi":"10.1186/s12711-024-00885-8","DOIUrl":null,"url":null,"abstract":"<p><b>Correction: Genetics Selection Evolution (2024) 56:12</b><b>https://doi.org/10.1186/s12711-024-00882-x</b></p><p>After publication of original article [1], we noticed that two errors were introduced during production:</p><ol>\n<li>\n<span>(1)</span>\n<p>In the <b>Bioinformatic and statistical analyses</b> section, the corresponding information on the <b>X</b> and <b>Y</b> matrices has been removed in three places:</p>\n<p>The part “A regularized canonical correlation analysis (rCCA) was performed using the expression dataset of the 12,381 genes (matrix) and the 15 FA traits (matrix) measured on the 129 individuals. The rCCA multivariate approach is implemented in the mixOmics v6.14.1 package [12], which allows subsets of canonical variables that maximize the correlation between two datasets (“and”, respectively of sizes n × p and n × q) to be identified [22].”</p>\n<p>Should be “A regularized canonical correlation analysis (rCCA) was performed using the expression dataset of the 12,381 genes (matrix <b>Y</b>) and the 15 FA traits (matrix <b>X</b>) measured on the 129 individuals. The rCCA multivariate approach is implemented in the mixOmics v6.14.1 package [10], which allows to identify the subsets of canonical variables that maximize the correlation between two datasets (“<b>X</b> and <b>Y</b>”, respectively of sizes n × p and n × q) [22].”</p>\n</li>\n<li>\n<span>(2)</span>\n<p>In the Funding section, the following term “https://doi.org/” has been automatically added to the funding source in three places. In fact, the correct funding source should be “MCIN/AEI/10.13039/501100011033” and not “MCIN/AEI/https://doi.org/10.13039/501100011033”.</p>\n</li>\n</ol><ol data-track-component=\"outbound reference\"><li data-counter=\"1.\"><p>Valdés-Hernández J, Folch JM, Crespo-Piazuelo D, Passols M, Sebastià C, Criado-Mesas L, Castelló A, Sánchez A, Ramayo-Caldas Y. Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis. Genet Sel Evol. 2024;56:12. https://doi.org/10.1186/s12711-024-00882-x.</p><p>Article CAS PubMed PubMed Central Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><h3>Authors and Affiliations</h3><ol><li><p>Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Spain</p><p>Jesús Valdés-Hernández, Josep M. Folch, Magí Passols, Cristina Sebastià, Lourdes Criado-Mesas, Anna Castelló & Armand Sánchez</p></li><li><p>Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, Spain</p><p>Jesús Valdés-Hernández, Josep M. Folch, Cristina Sebastià, Anna Castelló & Armand Sánchez</p></li><li><p>Departament de Genètica i Millora Animal, Institut de Recerca y Tecnologia Agraroalimentàries (IRTA), Caldes de Montbui, Spain</p><p>Daniel Crespo-Piazuelo & Yuliaxis Ramayo-Caldas</p></li></ol><span>Authors</span><ol><li><span>Jesús Valdés-Hernández</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Josep M. Folch</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Daniel Crespo-Piazuelo</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Magí Passols</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Cristina Sebastià</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Lourdes Criado-Mesas</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Anna Castelló</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Armand Sánchez</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Yuliaxis Ramayo-Caldas</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Corresponding authors</h3><p>Correspondence to Jesús Valdés-Hernández or Yuliaxis Ramayo-Caldas.</p><h3>Publisher's Note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://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 in a credit line to the data.</p>\n<p>Reprints and permissions</p><img alt=\"Check for updates. 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al.</i> Correction: Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis. <i>Genet Sel Evol</i> <b>56</b>, 14 (2024). https://doi.org/10.1186/s12711-024-00885-8</p><p>Download citation<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><ul data-test=\"publication-history\"><li><p>Published<span>: </span><span><time datetime=\"2024-02-26\">26 February 2024</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s12711-024-00885-8</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button data-track=\"click\" data-track-action=\"get shareable link\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Get shareable link</button><p>Sorry, a shareable link is not 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After publication of original article [1], we noticed that two errors were introduced during production:
(1)
In the Bioinformatic and statistical analyses section, the corresponding information on the X and Y matrices has been removed in three places:
The part “A regularized canonical correlation analysis (rCCA) was performed using the expression dataset of the 12,381 genes (matrix) and the 15 FA traits (matrix) measured on the 129 individuals. The rCCA multivariate approach is implemented in the mixOmics v6.14.1 package [12], which allows subsets of canonical variables that maximize the correlation between two datasets (“and”, respectively of sizes n × p and n × q) to be identified [22].”
Should be “A regularized canonical correlation analysis (rCCA) was performed using the expression dataset of the 12,381 genes (matrix Y) and the 15 FA traits (matrix X) measured on the 129 individuals. The rCCA multivariate approach is implemented in the mixOmics v6.14.1 package [10], which allows to identify the subsets of canonical variables that maximize the correlation between two datasets (“X and Y”, respectively of sizes n × p and n × q) [22].”
(2)
In the Funding section, the following term “https://doi.org/” has been automatically added to the funding source in three places. In fact, the correct funding source should be “MCIN/AEI/10.13039/501100011033” and not “MCIN/AEI/https://doi.org/10.13039/501100011033”.
Valdés-Hernández J, Folch JM, Crespo-Piazuelo D, Passols M, Sebastià C, Criado-Mesas L, Castelló A, Sánchez A, Ramayo-Caldas Y. Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis. Genet Sel Evol. 2024;56:12. https://doi.org/10.1186/s12711-024-00882-x.
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Authors and Affiliations
Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Spain
Jesús Valdés-Hernández, Josep M. Folch, Magí Passols, Cristina Sebastià, Lourdes Criado-Mesas, Anna Castelló & Armand Sánchez
Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, Spain
Jesús Valdés-Hernández, Josep M. Folch, Cristina Sebastià, Anna Castelló & Armand Sánchez
Departament de Genètica i Millora Animal, Institut de Recerca y Tecnologia Agraroalimentàries (IRTA), Caldes de Montbui, Spain
Daniel Crespo-Piazuelo & Yuliaxis Ramayo-Caldas
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Valdés-Hernández, J., Folch, J.M., Crespo-Piazuelo, D. et al. Correction: Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis. Genet Sel Evol56, 14 (2024). https://doi.org/10.1186/s12711-024-00885-8
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更正:Genetics Selection Evolution (2024) 56:12https://doi.org/10.1186/s12711-024-00882-xAfter 原文[1]发表后,我们发现在制作过程中出现了两处错误:(1)在生物信息和统计分析部分,有三处删除了X和Y矩阵的相应信息:"使用129个个体的12,381个基因的表达数据集(矩阵)和15个FA性状(矩阵)进行了正则化典型相关分析(rCCA)。rCCA多元方法在mixOmics v6.14.1软件包[12]中实现,该软件包可识别出使两个数据集("和",分别为n×p和n×q)之间的相关性最大化的典型变量子集[22]。"应为 "利用在129个个体上测量的12,381个基因的表达数据集(矩阵Y)和15个FA性状(矩阵X)进行了正则化典型相关分析(rCCA)。rCCA 多变量方法是在 mixOmics v6.14.1 软件包[10]中实现的,该软件包可以找出使两个数据集("X 和 Y",分别为 n×p 和 n×q)之间的相关性最大化的典型变量子集[22]。"(2)在 "经费来源 "部分,有三处自动添加了以下术语 "https://doi.org/"。事实上,正确的经费来源应该是 "MCIN/AEI/10.13039/501100011033",而不是 "MCIN/AEI/https://doi.org/10.13039/501100011033"。Valdés-Hernández J, Folch JM, Crespo-Piazuelo D, Passols M, Sebastià C, Criado-Mesas L, Castelló A, Sánchez A, Ramayo-Caldas Y. Identification of candidate regulatory genes for intramuscular fatty acid composition in pigs by transcriptome analysis.Genet Sel Evol. 2024;56:12. https://doi.org/10.1186/s12711-024-00882-x.Article CAS PubMed PubMed Central Google Scholar Download references作者和单位植物和动物基因组学、农业基因组学研究中心(CRAG)、CSIC-IRTA-UAB-UB、Campus UAB、Bellaterra、西班牙Jesús Valdés-Hernández, Josep M.Folch, Magí Passols, Cristina Sebastià, Lourdes Criado-Mesas, Anna Castelló & Armand SánchezDepartament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, SpainJesús Valdés-Hernández, Josep M.Folch, Cristina Sebastià, Anna Castelló & Armand SánchezDepartament de Genètica i Millora Animal, Institut de Recerca y Tecnologia Agraroalimentàries (IRTA), Caldes de Montbui, SpainDaniel Crespo-Piazuelo & Yuliaxis Ramayo-Caldas作者Jesús Valdés-HernándezView author publications您还可以在PubMed Google ScholarJosep M.FolchView 作者发表作品您也可以在 PubMed Google ScholarDaniel Crespo-PiazueloView 作者发表作品您也可以在 PubMed Google ScholarMagí PassolsView 作者发表作品您也可以在 PubMed Google ScholarCristina SebastiàView 作者发表作品您也可以在 PubMed Google ScholarLourdes CriadoMesasView作者发表作品您也可以在PubMed Google Scholar中搜索该作者Anna CastellóView作者发表作品您也可以在PubMed Google Scholar中搜索该作者Armand SánchezView作者发表作品您也可以在PubMed Google Scholar中搜索该作者Yuliaxis Ramayo-CaldasView作者发表作品您也可以在PubMed Google Scholar中搜索该作者通信作者Jesús Valdés-Hernández或Yuliaxis Ramayo-Caldas。开放获取本文采用知识共享署名 4.0 国际许可协议进行许可,该协议允许以任何媒介或格式使用、共享、改编、分发和复制,只要您适当注明原作者和来源,提供知识共享许可协议的链接,并说明是否进行了修改。本文中的图片或其他第三方材料均包含在文章的知识共享许可协议中,除非在材料的署名栏中另有说明。如果材料未包含在文章的知识共享许可协议中,且您打算使用的材料不符合法律规定或超出许可使用范围,您需要直接从版权所有者处获得许可。如需查看该许可的副本,请访问 http://creativecommons.org/licenses/by/4.0/。除非在数据的贷方行另有说明,否则知识共享公共领域专用免责声明 (http://creativecommons.org/publicdomain/zero/1.0/) 适用于本文提供的数据。转载与许可引用本文Valdés-Hernández, J., Folch, J.M., Crespo-Piazuelo, D. et al. 更正:通过转录组分析鉴定猪肌肉内脂肪酸组成的候选调控基因。Genet Sel Evol 56, 14 (2024). https://doi.org/10.1186/s12711-024-00885-8Download citationPublished: 26 February 2024DOI: https://doi.org/10.1186/s12711-024-00885-8Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative.
期刊介绍:
Genetics Selection Evolution invites basic, applied and methodological content that will aid the current understanding and the utilization of genetic variability in domestic animal species. Although the focus is on domestic animal species, research on other species is invited if it contributes to the understanding of the use of genetic variability in domestic animals. Genetics Selection Evolution publishes results from all levels of study, from the gene to the quantitative trait, from the individual to the population, the breed or the species. Contributions concerning both the biological approach, from molecular genetics to quantitative genetics, as well as the mathematical approach, from population genetics to statistics, are welcome. Specific areas of interest include but are not limited to: gene and QTL identification, mapping and characterization, analysis of new phenotypes, high-throughput SNP data analysis, functional genomics, cytogenetics, genetic diversity of populations and breeds, genetic evaluation, applied and experimental selection, genomic selection, selection efficiency, and statistical methodology for the genetic analysis of phenotypes with quantitative and mixed inheritance.