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Predictive blood biomarkers of sheep pregnancy and litter size
Early detection of sheep pregnancy and the prediction of how many lambs a pregnant ewe delivers affects sheep farmers in a number of ways, most notably with regard to feed management, lambing rate, and sheep/lamb health. The standard practice for direct detection of sheep pregnancy and litter size (...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209467/ https://www.ncbi.nlm.nih.gov/pubmed/35725997 http://dx.doi.org/10.1038/s41598-022-14141-w |
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author | Goldansaz, Seyed Ali Markus, Susan Plastow, Graham Wishart, David S. |
author_facet | Goldansaz, Seyed Ali Markus, Susan Plastow, Graham Wishart, David S. |
author_sort | Goldansaz, Seyed Ali |
collection | PubMed |
description | Early detection of sheep pregnancy and the prediction of how many lambs a pregnant ewe delivers affects sheep farmers in a number of ways, most notably with regard to feed management, lambing rate, and sheep/lamb health. The standard practice for direct detection of sheep pregnancy and litter size (PLS) is ultrasonography. However, this approach has a number of limitations. Indirect measurement of PLS using blood biomarkers could offer a simpler, faster and earlier route to PLS detection. Therefore, we undertook a large-scale metabolomics study to identify and validate predictive serum biomarkers of sheep PLS. We conducted a longitudinal experiment that analyzed 131 serum samples over five timepoints (from seven days pre-conception to 70 days post-conception) from six commercial flocks in Alberta and Ontario, Canada. Using LC–MS/MS and NMR, we identified and quantified 107 metabolites in each sample. We also identified three panels of serum metabolite biomarkers that can predict ewe PLS as early as 50 days after breeding. These biomarkers were then validated in separate flocks consisting of 243 animals yielding areas-under-the-receiver-operating-characteristic-curve (AU-ROC) of 0.81–0.93. The identified biomarkers could lead to the development of a simple, low-cost blood test to measure PLS at an early stage of pregnancy, which could help optimize reproductive management on sheep farms. |
format | Online Article Text |
id | pubmed-9209467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92094672022-06-22 Predictive blood biomarkers of sheep pregnancy and litter size Goldansaz, Seyed Ali Markus, Susan Plastow, Graham Wishart, David S. Sci Rep Article Early detection of sheep pregnancy and the prediction of how many lambs a pregnant ewe delivers affects sheep farmers in a number of ways, most notably with regard to feed management, lambing rate, and sheep/lamb health. The standard practice for direct detection of sheep pregnancy and litter size (PLS) is ultrasonography. However, this approach has a number of limitations. Indirect measurement of PLS using blood biomarkers could offer a simpler, faster and earlier route to PLS detection. Therefore, we undertook a large-scale metabolomics study to identify and validate predictive serum biomarkers of sheep PLS. We conducted a longitudinal experiment that analyzed 131 serum samples over five timepoints (from seven days pre-conception to 70 days post-conception) from six commercial flocks in Alberta and Ontario, Canada. Using LC–MS/MS and NMR, we identified and quantified 107 metabolites in each sample. We also identified three panels of serum metabolite biomarkers that can predict ewe PLS as early as 50 days after breeding. These biomarkers were then validated in separate flocks consisting of 243 animals yielding areas-under-the-receiver-operating-characteristic-curve (AU-ROC) of 0.81–0.93. The identified biomarkers could lead to the development of a simple, low-cost blood test to measure PLS at an early stage of pregnancy, which could help optimize reproductive management on sheep farms. Nature Publishing Group UK 2022-06-20 /pmc/articles/PMC9209467/ /pubmed/35725997 http://dx.doi.org/10.1038/s41598-022-14141-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Goldansaz, Seyed Ali Markus, Susan Plastow, Graham Wishart, David S. Predictive blood biomarkers of sheep pregnancy and litter size |
title | Predictive blood biomarkers of sheep pregnancy and litter size |
title_full | Predictive blood biomarkers of sheep pregnancy and litter size |
title_fullStr | Predictive blood biomarkers of sheep pregnancy and litter size |
title_full_unstemmed | Predictive blood biomarkers of sheep pregnancy and litter size |
title_short | Predictive blood biomarkers of sheep pregnancy and litter size |
title_sort | predictive blood biomarkers of sheep pregnancy and litter size |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9209467/ https://www.ncbi.nlm.nih.gov/pubmed/35725997 http://dx.doi.org/10.1038/s41598-022-14141-w |
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