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Yu Z, Cantet JM, Paz HA, Kaufman JD, Orellano MS, Ipharraguerre IR, Ríus AG. Heat stress-associated changes in the intestinal barrier, inflammatory signals, and microbiome communities in dairy calves. J Dairy Sci 2024; 107:1175-1196. [PMID: 37730180 DOI: 10.3168/jds.2023-23873] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/25/2023] [Indexed: 09/22/2023]
Abstract
Recent studies indicate that heat stress pathophysiology is associated with intestinal barrier dysfunction, local and systemic inflammation, and gut dysbiosis. However, inconclusive results and a poor description of tissue-specific changes must be addressed to identify potential intervention targets against heat stress illness in growing calves. Therefore, the objective of this study was to evaluate components of the intestinal barrier, pro- and anti-inflammatory signals, and microbiota community composition in Holstein bull calves exposed to heat stress. Animals (mean age = 12 wk old; mean body weight = 122 kg) penned individually in temperature-controlled rooms were assigned to (1) thermoneutral conditions (constant room temperature at 19.5°C) and restricted offer of feed (TNR, n = 8), or (2) heat stress conditions (cycles of room temperatures ranging from 20 to 37.8°C) along with ad libitum offer of feed (HS, n = 8) for 7 d. Upon treatment completion, sections of the jejunum, ileum, and colon were collected and snap-frozen immediately to evaluate gene and protein expression, cytokine concentrations, and myeloperoxidase activity. Digesta aliquots of the ileum, colon, and rectum were collected to assess bacterial communities. Plasma was harvested on d 2, 5, and 7 to determine cytokine concentrations. Overall, results showed a section-specific effect of HS on intestinal integrity. Jejunal mRNA expression of TJP1 was decreased by 70.9% in HS relative to TNR calves. In agreement, jejunal expression of heat shock transcription factor-1 protein, a known tight junction protein expression regulator, decreased by 48% in HS calves. Jejunal analyses showed that HS decreased concentrations of IL-1α by 36.6% and tended to decrease the concentration of IL-17A. Conversely, HS elicited a 3.5-fold increase in jejunal concentration of anti-inflammatory IL-36 receptor antagonist. Plasma analysis of pro-inflammatory cytokines showed that IL-6 decreased by 51% in HS relative to TNR calves. Heat stress alteration of the large intestine bacterial communities was characterized by increased genus Butyrivibrio_3, a known butyrate-producing organism, and changes in bacteria metabolism of energy and AA. A strong positive correlation between the rectal temperature and pro-inflammatory Eggerthii spp. was detected in HS calves. In conclusion, this work indicates that HS impairs the intestinal barrier function of jejunum. The pro- and anti-inflammatory signal changes may be part of a broader response to restore intestinal homeostasis in jejunum. The changes in large intestine bacterial communities favoring butyrate-producing organisms (e.g., Butyrivibrio spp.) may be part of a successful response to maintain the integrity of the colonic mucosa of HS calves. The alteration of intestinal homeostasis should be the target for heat stress therapies to restore biological functions, and, thus highlights the relevance of this work.
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Affiliation(s)
- Z Yu
- Department of Animal Science, University of Tennessee Institute of Agriculture, Knoxville, TN 37996
| | - J M Cantet
- Department of Animal Science, University of Tennessee Institute of Agriculture, Knoxville, TN 37996
| | - H A Paz
- Department of Pediatrics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205; Arkansas Children's Nutrition Center, Little Rock, AR 72202
| | - J D Kaufman
- Department of Animal Science, University of Tennessee Institute of Agriculture, Knoxville, TN 37996
| | - M S Orellano
- Centro de Investigaciones y Transferencia de Villa María, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Villa María, Villa María, Córdoba 5900, Argentina
| | - I R Ipharraguerre
- Institute of Human Nutrition and Food Science, University of Kiel, Kiel 24118, Germany
| | - A G Ríus
- Department of Animal Science, University of Tennessee Institute of Agriculture, Knoxville, TN 37996.
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Malheiros JM, Correia BSB, Ceribeli C, Bruscadin JJ, Diniz WJS, Banerjee P, da Silva Vieira D, Cardoso TF, Andrade BGN, Petrini J, Cardoso DR, Colnago LA, Bogusz Junior S, Mourão GB, Coutinho LL, Palhares JCP, de Medeiros SR, Berndt A, de Almeida Regitano LC. Ruminal and feces metabolites associated with feed efficiency, water intake and methane emission in Nelore bulls. Sci Rep 2023; 13:18001. [PMID: 37865691 PMCID: PMC10590413 DOI: 10.1038/s41598-023-45330-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 10/18/2023] [Indexed: 10/23/2023] Open
Abstract
The objectives of this study were twofold: (1) to identify potential differences in the ruminal and fecal metabolite profiles of Nelore bulls under different nutritional interventions; and (2) to identify metabolites associated with cattle sustainability related-traits. We used different nutritional interventions in the feedlot: conventional (Conv; n = 26), and by-product (ByPr, n = 26). Thirty-eight ruminal fluid and 27 fecal metabolites were significantly different (P < 0.05) between the ByPr and Conv groups. Individual dry matter intake (DMI), residual feed intake (RFI), observed water intake (OWI), predicted water intake (WI), and residual water intake (RWI) phenotypes were lower (P < 0.05) in the Conv group, while the ByPr group exhibited lower methane emission (ME) (P < 0.05). Ruminal fluid dimethylamine was significantly associated (P < 0.05) with DMI, RFI, FE (feed efficiency), OWI and WI. Aspartate was associated (P < 0.05) with DMI, RFI, FE and WI. Fecal C22:1n9 was significantly associated with OWI and RWI (P < 0.05). Fatty acid C14:0 and hypoxanthine were significantly associated with DMI and RFI (P < 0.05). The results demonstrated that different nutritional interventions alter ruminal and fecal metabolites and provided new insights into the relationship of these metabolites with feed efficiency and water intake traits in Nelore bulls.
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Affiliation(s)
| | | | - Caroline Ceribeli
- Institute of Chemistry, University of São Paulo/USP, São Carlos, São Paulo, Brazil
- Department of Food Science, University of Copenhagen, Copenhagen, Denmark
| | | | - Wellison J S Diniz
- Departament of Animal Sciences, Auburn University, Auburn, AL, 36849, USA
| | - Priyanka Banerjee
- Departament of Animal Sciences, Auburn University, Auburn, AL, 36849, USA
| | | | | | - Bruno Gabriel Nascimento Andrade
- Embrapa Southeast Livestock, São Carlos, São Paulo, Brazil
- Computer Science Department, Munster Technological University, MTU/ADAPT, Cork, Ireland
| | - Juliana Petrini
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
| | | | | | | | - Gerson Barreto Mourão
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
| | - Luiz Lehmann Coutinho
- Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, São Paulo, Brazil
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De La Guardia-Hidrogo VM, Paz HA. Bacterial community structure in the rumen and hindgut is associated with nitrogen efficiency in Holstein cows. Sci Rep 2023; 13:10721. [PMID: 37400555 DOI: 10.1038/s41598-023-37891-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 06/29/2023] [Indexed: 07/05/2023] Open
Abstract
Nitrogen efficiency (Neff; milk N/N intake) in dairy cows is limited and most of the consumed N is excreted in manure. Despite the crucial role of the gastrointestinal microbiome on N metabolism, associations between bacterial communities at different sections and Neff are not fully elucidated. Enhanced understanding of host-microbiome interactions can provide insights to improve Neff in dairy cows. Twenty-three Holstein cows were selected, and their Neff were determined using a N balance approach. From the cohort of cows, six cows were classified as low Neff and five cows as high Neff and their rumen and fecal bacterial communities were profiled using amplicon sequence variants (ASV) based on 16S rRNA gene sequencing. Then, relationships between differentially abundant bacterial features and Neff were evaluated. Neff in low and high cows averaged 22.8 and 30.3%, respectively. With similar N intake, high Neff cows wasted less N in manure compared to low Neff cows (P < 0.01, 11.0 ± 0.59 vs 14.3 ± 0.54 g of N/kg of milk). Rumen fermentation and plasma profiles were similar between Neff groups, but for plasma Gln which was greater (P = 0.02) in high compared to low Neff cows. In both rumen and feces, the phylogenetic composition of the bacterial communities was similar (P ≥ 0.65) between Neff groups, but differences were observed at the species -level (amplicon sequence variants). In the rumen, differentially abundant species from the genus Prevotella showed strong positive correlations with Neff, whereas in feces, differentially abundant species from the class Clostridia showed strong negative correlations with Neff. Our results revealed that Holstein cows with divergent Neff display distinctive bacterial community structure at the species-level in both the rumen and feces. Strong correlations between differentially abundant species and Neff in both sample sites, support the importance of the rumen bacterial composition on productive responses and suggest a more relevant role of the hindgut microbiome. Targeting both pre- and post-gastric bacterial communities may provide novel opportunities to enhance Neff in dairy cows.
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Affiliation(s)
| | - H A Paz
- Department of Animal and Dairy Sciences, Mississippi State University, Mississippi State, MS, USA.
- Department of Pediatrics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
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Costa-Roura S, Villalba D, Balcells J, De la Fuente G. First Steps into Ruminal Microbiota Robustness. Animals (Basel) 2022; 12:2366. [PMID: 36139226 PMCID: PMC9495070 DOI: 10.3390/ani12182366] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 09/01/2022] [Accepted: 09/07/2022] [Indexed: 11/16/2022] Open
Abstract
Despite its central role in ruminant nutrition, little is known about ruminal microbiota robustness, which is understood as the ability of the microbiota to cope with disturbances. The aim of the present review is to offer a comprehensive description of microbial robustness, as well as its potential drivers, with special focus on ruminal microbiota. First, we provide a briefing on the current knowledge about ruminal microbiota. Second, we define the concept of disturbance (any discrete event that disrupts the structure of a community and changes either the resource availability or the physical environment). Third, we discuss community resistance (the ability to remain unchanged in the face of a disturbance), resilience (the ability to return to the initial structure following a disturbance) and functional redundancy (the ability to maintain or recover initial function despite compositional changes), all of which are considered to be key properties of robust microbial communities. Then, we provide an overview of the currently available methodologies to assess community robustness, as well as its drivers (microbial diversity and network complexity) and its potential modulation through diet. Finally, we propose future lines of research on ruminal microbiota robustness.
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Wang K, Zhang H, Hu L, Zhang G, Lu H, Luo H, Zhao S, Zhu H, Wang Y. Characterization of the Microbial Communities along the Gastrointestinal Tract in Crossbred Cattle. Animals (Basel) 2022; 12:ani12070825. [PMID: 35405815 PMCID: PMC8997095 DOI: 10.3390/ani12070825] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/19/2022] [Accepted: 03/22/2022] [Indexed: 12/11/2022] Open
Abstract
Simple Summary Crossbreeding has been used worldwide to improve milk production, milk composition, and reproduction performance. Understanding the structure of the microbial communities in the gastrointestinal tract (GIT) of crossbred cattle is paramount for developing new livestock management technologies with an emphasis on nutrition and sustainability. In this study, we investigated the gastrointestinal microbiota of Simmental × Holstein crossbred cattle using 16s rRNA gene sequencing. Microbial communities in the small intestine had the lowest diversity of bacteria and highest diversity of bacterial functions, and three groups of GIT regions, including the stomach, small intestine, and large intestine were characterized by specific bacteria and bacterial functions. In summary, spatial heterogeneity of the microbiota was found across the GIT of crossbreeds, and specific microbial biomarkers were identified in different regions. Abstract The gastrointestinal microbiota greatly affects the health status and production performance of bovines. Presently, many studies have used high-throughput sequencing methods to investigate the gastrointestinal microbiome in bovines. However, the microbiome profile of crossbred cattle across the whole gastrointestinal tract (GIT) has not been thoroughly reported. In this study, the digesta at ten regions (including the rumen, reticulum, omasum, abomasum, duodenum, jejunum, ileum, cecum, colon, and rectum) of the GIT were collected in three Simmental × Holstein crossbred heifers aged 17 months, and microbial DNA was extracted and amplified for sequencing of the V3–V4 regions of the 16S rRNA gene. Functional orthologs of the microbiota genome were predicted and analyzed. We found that samples were categorized into three groups (the stomach, small intestine, and large intestine) by principal coordinate analysis (PCoA) based on Bray–Curtis dissimilarity in both the bacterial composition and functional profile. Samples from small intestine had the lowest alpha diversity of bacteria composition and highest alpha diversity of the functional composition. Three groups of GIT regions were characterized by several microbiome features. The stomach was characterized by Bacteroidetes and Fibrobacteres at the phylum level, and KEGG pathways related to the metabolism of cofactors and vitamins, glycan biosynthesis, and metabolism were enriched in the stomach. The small intestine was characterized by Actinobacteria and Patescibacteria at the phylum level, and KEGG pathways related to xenobiotics biodegradation and metabolism were enriched in the small intestine. The large intestine featured Ruminococcaceae, Rikenellaceae, and Bacteroidacea at the family level, and KEGG pathways, including steroid hormone biosynthesis, linoleic acid metabolism, and cysteine and methionine metabolism were enriched in the large intestine. The results of the current study revealed the spatial heterogeneity of microbiota across the GIT in Simmental × Holstein crossbreeds and identified microbial biomarkers of different regions. The results can provide useful information for the study of the gastrointestinal microbiome in bovines.
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Affiliation(s)
- Kai Wang
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (K.W.); (H.Z.); (L.H.); (G.Z.); (H.L.)
| | - Hailiang Zhang
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (K.W.); (H.Z.); (L.H.); (G.Z.); (H.L.)
| | - Lirong Hu
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (K.W.); (H.Z.); (L.H.); (G.Z.); (H.L.)
| | - Guoxing Zhang
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (K.W.); (H.Z.); (L.H.); (G.Z.); (H.L.)
| | - Haibo Lu
- Beijing SUNLON Biological Seed Industry Innovation Technology Limited Company, Beijing 101206, China;
| | - Hanpeng Luo
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (K.W.); (H.Z.); (L.H.); (G.Z.); (H.L.)
| | - Shanjiang Zhao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
| | - Huabin Zhu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China;
- Correspondence: (H.Z.); (Y.W.)
| | - Yachun Wang
- College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; (K.W.); (H.Z.); (L.H.); (G.Z.); (H.L.)
- Correspondence: (H.Z.); (Y.W.)
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