Using fecal microbiota as biomarkers for predictions of performance in the selective breeding process of pedigree broiler breeders
العنوان: | Using fecal microbiota as biomarkers for predictions of performance in the selective breeding process of pedigree broiler breeders |
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المؤلفون: | Irene Hanning, Isaac Rockafellow, Sandra Díaz-Sánchez, Ronald Okimoto, Eric J. Alm, Rachel Hawken, Allison Perrotta |
المصدر: | Digital.CSIC. Repositorio Institucional del CSIC instname PLoS ONE PLoS ONE, Vol 14, Iss 5, p e0216080 (2019) |
بيانات النشر: | Public Library of Science, 2019. |
سنة النشر: | 2019 |
مصطلحات موضوعية: | Physiology, Weight Gain, Poultry, Feces, RNA, Ribosomal, 16S, Medicine and Health Sciences, Gamefowl, Animal Management, Data Management, 0303 health sciences, Multidisciplinary, Bird Genetics, Microbiota, Microbial Genetics, Eukaryota, Agriculture, Genomics, Pedigree, Physiological Parameters, Medical Microbiology, Vertebrates, Medicine, medicine.symptom, Research Article, Microbial Taxonomy, Computer and Information Sciences, Animal feed, Science, Zoology, Microbial Genomics, Biology, Selective breeding, Feed conversion ratio, Microbiology, Birds, 03 medical and health sciences, medicine, Genetics, Animals, Microbiome, 030304 developmental biology, Taxonomy, Animal Performance, 030306 microbiology, Body Weight, Broiler, Organisms, Biology and Life Sciences, Animal Feed, Fowl, Amniotes, Microbial genetics, Weight gain, Chickens, Animal Genetics, Biomarkers, Selective Breeding |
الوصف: | Much work has been dedicated to identifying members of the microbial gut community that have potential to augment the growth rate of agricultural animals including chickens. Here, we assessed any correlations between the fecal microbiome, a proxy for the gut microbiome, and feed efficiency or weight gain at the pedigree chicken level, the highest tier of the production process. Because selective breeding is conducted at the pedigree level, our aim was to determine if microbiome profiles could be used to predict feed conversion or weight gain in order to improve selective breeding. Using 16s rRNA amplicon sequencing, we profiled the microbiomes of high and low weight gain (WG) birds and good and poor feed efficient (FE) birds in two pedigree lineages of broiler chickens. We also aimed to understand the dynamics of the microbiome with respect to maturation. A time series experiment was conducted, where fecal samples of chickens were collected at 6 points of the rearing process and the microbiome of these samples profiled. We identified OTUs differences at different taxonomic levels in the fecal community between high and low performing birds within each genetic line, indicating a specificity of the microbial community profiles correlated to performance factors. Using machine-learning methods, we built a classification model that could predict feed conversion performance from the fecal microbial community. With respect to maturation, we found that the fecal microbiome is dynamic in early life but stabilizes after 3 weeks of age independent of lineage. Our results indicate that the fecal microbiome profile can be used to predict feed conversion, but not weight gain in these pedigree lines. From the time series experiments, it appears that these predictions can be evaluated as early as 20 days of age. Our data also indicates that there is a genetic factor for the microbiome profile. Funding for this study was provided by Cobb-Vantress, Inc. Authors RH and RO are commercially affiliated with the funder. The funder provided support in the form of salaries for SDS, and RH and RO, employed by the funder had active roles in the study as stated in the authors’ contributions. |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::283c898a7f84504d581ca7a28ce23f8e http://hdl.handle.net/10261/217373 |
Rights: | OPEN |
رقم الانضمام: | edsair.doi.dedup.....283c898a7f84504d581ca7a28ce23f8e |
قاعدة البيانات: | OpenAIRE |
الوصف غير متاح. |