Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows
Efficient feed utilization in dairy cows is crucial for economic and environmental reasons. The rumen microbiota plays a significant role in feed efficiency, but studies utilizing microbial data to predict host phenotype are limited. In this study, 87 primiparous Nordic Red dairy cows were ranked fo...
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MDPI AG
2023-04-01
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| Series: | Microorganisms |
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| Online Access: | https://www.mdpi.com/2076-2607/11/5/1116 |
| _version_ | 1797598966372630528 |
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| author | Miika Tapio Daniel Fischer Päivi Mäntysaari Ilma Tapio |
| author_facet | Miika Tapio Daniel Fischer Päivi Mäntysaari Ilma Tapio |
| author_sort | Miika Tapio |
| collection | DOAJ |
| description | Efficient feed utilization in dairy cows is crucial for economic and environmental reasons. The rumen microbiota plays a significant role in feed efficiency, but studies utilizing microbial data to predict host phenotype are limited. In this study, 87 primiparous Nordic Red dairy cows were ranked for feed efficiency during their early lactation based on residual energy intake, and the rumen liquid microbial ecosystem was subsequently evaluated using 16S rRNA amplicon and metagenome sequencing. The study used amplicon data to build an extreme gradient boosting model, demonstrating that taxonomic microbial variation can predict efficiency (r<sub>test</sub> = 0.55). Prediction interpreters and microbial network revealed that predictions were based on microbial consortia and the efficient animals had more of the highly interacting microbes and consortia. Rumen metagenome data was used to evaluate carbohydrate-active enzymes and metabolic pathway differences between efficiency phenotypes. The study showed that an efficient rumen had a higher abundance of glycoside hydrolases, while an inefficient rumen had more glycosyl transferases. Enrichment of metabolic pathways was observed in the inefficient group, while efficient animals emphasized bacterial environmental sensing and motility over microbial growth. The results suggest that inter-kingdom interactions should be further analyzed to understand their association with the feed efficiency of animals. |
| first_indexed | 2024-03-11T03:28:04Z |
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| institution | Directory Open Access Journal |
| issn | 2076-2607 |
| language | English |
| last_indexed | 2024-03-11T03:28:04Z |
| publishDate | 2023-04-01 |
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| series | Microorganisms |
| spelling | doaj.art-1b5f77be8f584a57986d5df52046a0012023-11-18T02:32:03ZengMDPI AGMicroorganisms2076-26072023-04-01115111610.3390/microorganisms11051116Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy CowsMiika Tapio0Daniel Fischer1Päivi Mäntysaari2Ilma Tapio3Genomics and Breeding, Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, FinlandApplied Statistical Methods, Natural Resources, Natural Resources Institute Finland (Luke), 31600 Jokioinen, FinlandAnimal Nutrition, Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, FinlandGenomics and Breeding, Production Systems, Natural Resources Institute Finland (Luke), 31600 Jokioinen, FinlandEfficient feed utilization in dairy cows is crucial for economic and environmental reasons. The rumen microbiota plays a significant role in feed efficiency, but studies utilizing microbial data to predict host phenotype are limited. In this study, 87 primiparous Nordic Red dairy cows were ranked for feed efficiency during their early lactation based on residual energy intake, and the rumen liquid microbial ecosystem was subsequently evaluated using 16S rRNA amplicon and metagenome sequencing. The study used amplicon data to build an extreme gradient boosting model, demonstrating that taxonomic microbial variation can predict efficiency (r<sub>test</sub> = 0.55). Prediction interpreters and microbial network revealed that predictions were based on microbial consortia and the efficient animals had more of the highly interacting microbes and consortia. Rumen metagenome data was used to evaluate carbohydrate-active enzymes and metabolic pathway differences between efficiency phenotypes. The study showed that an efficient rumen had a higher abundance of glycoside hydrolases, while an inefficient rumen had more glycosyl transferases. Enrichment of metabolic pathways was observed in the inefficient group, while efficient animals emphasized bacterial environmental sensing and motility over microbial growth. The results suggest that inter-kingdom interactions should be further analyzed to understand their association with the feed efficiency of animals.https://www.mdpi.com/2076-2607/11/5/1116ruminantsfeed efficiencyrumen bacteriametagenomicsprediction |
| spellingShingle | Miika Tapio Daniel Fischer Päivi Mäntysaari Ilma Tapio Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows Microorganisms ruminants feed efficiency rumen bacteria metagenomics prediction |
| title | Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows |
| title_full | Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows |
| title_fullStr | Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows |
| title_full_unstemmed | Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows |
| title_short | Rumen Microbiota Predicts Feed Efficiency of Primiparous Nordic Red Dairy Cows |
| title_sort | rumen microbiota predicts feed efficiency of primiparous nordic red dairy cows |
| topic | ruminants feed efficiency rumen bacteria metagenomics prediction |
| url | https://www.mdpi.com/2076-2607/11/5/1116 |
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