Literature DB >> 31873020

Fecal Metabolomics as a Novel Noninvasive Method for Short-Term Stress Monitoring in Beef Cattle.

Azzurra Valerio1, Luca Casadei1, Alessandro Giuliani2, Mariacristina Valerio1.   

Abstract

Traditional measures of short-term stress response such as fecal glucocorticoid metabolites (FGM) are widely used in controlled settings to quantify the intensity of stimulation to which cattle are exposed. However, FGMs present several methodological and interpretation pitfalls when applied on animals in free-ranging conditions. In this study, we proposed an NMR-based fecal metabolomics strategy for noninvasive stress detection in beef cattle. Using a longitudinal sample collection, we monitored the changes in the fecal metabolome and FGM concentrations before and after an acute stressful event. Our results showed that while the fecal metabolome changed as a function of stress (p < 0.001), the mean concentrations of FGM did not change (Levene's test: F-ratio: 0.87, p-value: 0.44). Furthermore, we showed that the interanimal variability observed in the stress response was correlated with the individual fecal microbiota. This result was in line with recent findings, indicating the gut microbiome as a crucial mediator of stress response. We conclude that NMR-based fecal metabolomics proved to be a reliable methodology to assess stress response and that its future applicability to studies for stress monitoring in range animals may be more appropriate than FGM analysis.

Entities:  

Keywords:  16S rRNA; 1H NMR spectrometry; beef cattle (Bos taurus); fecal glucocorticoids; fecal metabolome; gut microbiome; metabolomic fingerprinting; stress response

Mesh:

Year:  2020        PMID: 31873020     DOI: 10.1021/acs.jproteome.9b00655

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  5 in total

1.  Detecting the effects of predator-induced stress on the global metabolism of an ungulate prey using fecal metabolomic fingerprinting.

Authors:  Azzurra Valerio; C Steven Borrego; Luigi Boitani; Luca Casadei; Alessandro Giuliani; Robert B Wielgus; Stephanie L Simek; Mariacristina Valerio
Journal:  Sci Rep       Date:  2021-03-17       Impact factor: 4.379

Review 2.  Applications of Omics Technology for Livestock Selection and Improvement.

Authors:  Dibyendu Chakraborty; Neelesh Sharma; Savleen Kour; Simrinder Singh Sodhi; Mukesh Kumar Gupta; Sung Jin Lee; Young Ok Son
Journal:  Front Genet       Date:  2022-06-02       Impact factor: 4.772

3.  House feeding pattern increased male yak fertility by improving gut microbiota and serum metabolites.

Authors:  Yanbin Zhu; Xin Li; Guangming Sun
Journal:  Front Vet Sci       Date:  2022-09-02

4.  Comparative untargeted metabolome analysis of ruminal fluid and feces of Nelore steers (Bos indicus).

Authors:  Jessica Moraes Malheiros; Banny Silva Barbosa Correia; Caroline Ceribeli; Daniel Rodrigues Cardoso; Luiz Alberto Colnago; Stanislau Bogusz Junior; James Mark Reecy; Gerson Barreto Mourão; Luiz Lehmann Coutinho; Julio Cesar Pascale Palhares; Alexandre Berndt; Luciana Correia de Almeida Regitano
Journal:  Sci Rep       Date:  2021-06-17       Impact factor: 4.379

5.  Taxonomy and Functional Diversity in the Fecal Microbiome of Beef Cattle Reared in Brazilian Traditional and Semi-Intensive Production Systems.

Authors:  Patricia Spoto Corrêa; Carolina Rodriguez Jimenez; Lucas William Mendes; Caroline Rymer; Partha Ray; Luciana Gerdes; Vagner Ovani da Silva; Elisabete Aparecida De Nadai Fernandes; Adibe Luiz Abdalla; Helder Louvandini
Journal:  Front Microbiol       Date:  2021-12-08       Impact factor: 5.640

  5 in total

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