PSXI-16 Using a multi-omics approach to decipher trans-10 shift biomarkers in ruminants

Abstract The trans-10 shift is a recognized deviation from the normal ruminal biohydrogenation (BH) pathways of the dietary polyunsaturated fatty acids (FA) in the rumen. This phenomenon leads to the formation of the harmful t10-18:1, which is detrimental to the health of the animal, instead of the beneficial t11-18:1, which has positive effects. The phenomenon known as the t10-shift has been observed in animals consuming diets that are high in starch but low in forage. Although consuming such similar diets, there exists a significant variability in t10-shift expression among animals. The reasons behind the t10-shift are not well understood. With the aim of finding biomarkers associated with t10-shift, this study utilized multiple levels of information, including lipidomics, metabolomics, and proteomics of ruminal contents. Rumen contents from male lambs (n = 16) distributed by two diets with distinct forage:concentrate ratios (20:80 and 80:20) were collected after 42 d on ad libitum feed. FA from rumen contents were prepared and analyzed by gas chromatography, metaproteomics analyzes were performed from rumen bacterial pellets using LC-MS/MS-based label-free quantification, and metabolomics analyzes were performed from rumen fluid supernatants using IMS-TOF technology. Multivariate analyses and correlations were performed using the Metaboanalyst R package. Several fatty acids, proteins, and metabolites showed a strong correlation with the proportion of t10-18:1 in rumen contents. Among fatty acids, 17:0, 14:0, a-15:0, and t15-18:1 were positively correlated, while t11-18:1, t11,c13-CLA and c9,t11-CLA showed negative correlation. The metabolites, thiamine aldehyde, mevinolinic acid, 2-hydroxy-2H-benzo[h]chromene-2-carboxylate, or biotin were positively correlated with t10-18:1, as well as proteins associated with gluconeogenesis, stress response or amino acid metabolism. This work provides, for the first time, a multi-level integrated view of t10-shift phenomena in sheep. Fundação para a Ciência e a Tecnologia (FCT) provided financial support through the research projects PTDC/CAL-ZOO/29654/2017 (RumOmics), PTDC/CAL-ZOO/4515/2021 (Gene2Rumen), UIDB/00276/2020 (CIISA), UIDB/04129/2020 (LEAF), and LA/P/0059/2020 (AL4Animals).

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Journal
Journal of Animal Science
Published
2024-09-01
DOI
https://doi.org/10.1093/jas/skae234.872
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
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article
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article

PSXI-16 Using a multi-omics approach to decipher trans-10 shift biomarkers in ruminants

Cármen Maria Lucas Pedro Garrine, Graeme T. Attwood, Susana P. Alves, Bernd Roschitzki et al.
Journal of Animal Science
Genetic Mapping and Diversity in Plants and Animals
article

PSXI-16 Using a multi-omics approach to decipher trans-10 shift biomarkers in ruminants

Cármen Maria Lucas Pedro Garrine, Graeme T. Attwood, Susana P. Alves, Bernd Roschitzki, André M. Almeida, Paolo Nanni, R.J.B. Bessa, Tatiane Fernandes, Endre Laczkó, Ana Cristina Vitor, Jonas Grossmann
article en

Abstract

Abstract The trans-10 shift is a recognized deviation from the normal ruminal biohydrogenation (BH) pathways of the dietary polyunsaturated fatty acids (FA) in the rumen. This phenomenon leads to the formation of the harmful t10-18:1, which is detrimental to the health of the animal, instead of the beneficial t11-18:1, which has positive effects. The phenomenon known as the t10-shift has been observed in animals consuming diets that are high in starch but low in forage. Although consuming such similar diets, there exists a significant variability in t10-shift expression among animals. The reasons behind the t10-shift are not well understood. With the aim of finding biomarkers associated with t10-shift, this study utilized multiple levels of information, including lipidomics, metabolomics, and proteomics of ruminal contents. Rumen contents from male lambs (n = 16) distributed by two diets with distinct forage:concentrate ratios (20:80 and 80:20) were collected after 42 d on ad libitum feed. FA from rumen contents were prepared and analyzed by gas chromatography, metaproteomics analyzes were performed from rumen bacterial pellets using LC-MS/MS-based label-free quantification, and metabolomics analyzes were performed from rumen fluid supernatants using IMS-TOF technology. Multivariate analyses and correlations were performed using the Metaboanalyst R package. Several fatty acids, proteins, and metabolites showed a strong correlation with the proportion of t10-18:1 in rumen contents. Among fatty acids, 17:0, 14:0, a-15:0, and t15-18:1 were positively correlated, while t11-18:1, t11,c13-CLA and c9,t11-CLA showed negative correlation. The metabolites, thiamine aldehyde, mevinolinic acid, 2-hydroxy-2H-benzo[h]chromene-2-carboxylate, or biotin were positively correlated with t10-18:1, as well as proteins associated with gluconeogenesis, stress response or amino acid metabolism. This work provides, for the first time, a multi-level integrated view of t10-shift phenomena in sheep. Fundação para a Ciência e a Tecnologia (FCT) provided financial support through the research projects PTDC/CAL-ZOO/29654/2017 (RumOmics), PTDC/CAL-ZOO/4515/2021 (Gene2Rumen), UIDB/00276/2020 (CIISA), UIDB/04129/2020 (LEAF), and LA/P/0059/2020 (AL4Animals).

Journal of Animal ScienceVol. 102(Supplement_3)
University of Lisbon (PT), ETH Zurich (CH), AgResearch (NZ), Département Santé Animale (FR), Centre for Research in Anthropology (PT)
Openalex Percentile: Top 83%
Genetic Mapping and Diversity in Plants and Animals
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