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Gao Q, Wang Y, Li J, Bai G, Liu L, Zhong R, Ma T, Pan H, Zhang H. Supplementation of multi-enzymes alone or combined with inactivated Lactobacillus benefits growth performance and gut microbiota in broilers fed wheat diets. Front Microbiol 2022; 13:927932. [PMID: 35979486 PMCID: PMC9376439 DOI: 10.3389/fmicb.2022.927932] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
The effects of multi-enzymes mixture supplementation or combination with inactivated Lactobacillus on growth performance, intestinal barrier, and cecal microbiota were investigated in broilers at the age of 15-42 days fed a wheat-based diet. A total of 576 broilers (12 broilers/cage; n = 12) were used and divided into four groups and randomly allotted to four experimental diets throughout grower (15-28 days of age) and finisher (29-42 days of age) phases. Diets consisted of a corn-soybean meal-based diet (BD), a wheat-soybean meal-based diet (WD), and WD supplemented multi-enzymes (WED) or combined with inactivated Lactobacillus (WEPD). The results showed that the average daily gain (ADG) and body weight (BW) were reduced in broilers fed WD diet compared with those fed BD diet during the grower period (P < 0.05). Broilers in the WED or WEPD group had higher ADG and BW during the grower period (P < 0.05) and had a lower feed-to-gain ratio (F/G) compared to broilers in the WD group during the grower and overall periods (P < 0.05). Improved expression of intestinal barrier genes (claudin-1, ZO-1, and mucin-2) was observed in WEPD compared to the BD or WD group (P < 0.05). Compared to the BD group, the WD group decreased the abundance of Oscillospira, norank_f__Erysipelotrichaceae, and Peptococcus, which are related to anti-inflammatory function and BW gain. The WD also increased Bifidobacterium and some short-chain fatty acid (SCFA)-producing bacteria (Anaerotruncus, Blautia, and Oscillibacter), and Barnesiella, which were presumed as "harmful microbes" [false discovery rate (FDR) < 0.05]. WED and WEPD groups, respectively, improved Bilophila and Eubacterium_hallii_group compared with those in the WD group (FDR < 0.05). In addition, the Enterococcus abundance was reduced in the WEPD group compared to the WD group (FDR < 0.05). Higher acetate and total SCFA concentrations were observed (P < 0.05) among broilers who received a WD diet. Compared with the WD group, the WED or WEPD group further increased cecal propionate content (P < 0.05) and tended to improve butyrate concentration. These results suggested that supplemental multi-enzymes alone and combined with inactivated Lactobacillus could improve the growth performance based on the wheat-based diet and offer additional protective effects on the intestinal barrier function of broilers.
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Affiliation(s)
- Qingtao Gao
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yanchun Wang
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Jiaheng Li
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
- Precision Livestock and Nutrition Unit, Gembloux Agro-Bio Tech, Liège University, Gembloux, Belgium
| | - Guosong Bai
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lei Liu
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ruqing Zhong
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Teng Ma
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongbin Pan
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Science, College of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Hongfu Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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102
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Zhang X, Akhtar M, Chen Y, Ma Z, Liang Y, Shi D, Cheng R, Cui L, Hu Y, Nafady AA, Ansari AR, Abdel-Kafy ESM, Liu H. Chicken jejunal microbiota improves growth performance by mitigating intestinal inflammation. MICROBIOME 2022; 10:107. [PMID: 35836252 PMCID: PMC9284917 DOI: 10.1186/s40168-022-01299-8] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 06/05/2022] [Indexed: 12/11/2022]
Abstract
BACKGROUND Intestinal inflammation is prevalent in chicken, which results in decreased growth performance and considerable economic losses. Accumulated findings established the close relationship between gut microbiota and chicken growth performance. However, whether gut microbiota impacts chicken growth performance by lessening intestinal inflammation remains elusive. RESULTS Seven-weeks-old male and female chickens with the highest or lowest body weights were significantly different in breast and leg muscle indices and average cross-sectional area of muscle cells. 16S rRNA gene sequencing indicated Gram-positive bacteria, such as Lactobacilli, were the predominant species in high body weight chickens. Conversely, Gram-negative bacteria, such as Comamonas, Acinetobacter, Brucella, Escherichia-Shigella, Thermus, Undibacterium, and Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium were significantly abundant in low body weight chickens. Serum lipopolysaccharide (LPS) level was significantly higher in low body weight chickens (101.58 ± 5.78 ng/mL) compared with high body weight chickens (85.12 ± 4.79 ng/mL). The expression of TLR4, NF-κB, MyD88, and related inflammatory cytokines in the jejunum was significantly upregulated in low body weight chickens, which led to the damage of gut barrier integrity. Furthermore, transferring fecal microbiota from adult chickens with high body weight into 1-day-old chicks reshaped the jejunal microbiota, mitigated inflammatory response, and improved chicken growth performance. CONCLUSIONS Our findings suggested that jejunal microbiota could affect chicken growth performance by mitigating intestinal inflammation. Video Abstract.
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Affiliation(s)
- Xiaolong Zhang
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Muhammad Akhtar
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Yan Chen
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Ziyu Ma
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Yuyun Liang
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Deshi Shi
- Department of Preventive Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Ranran Cheng
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Lei Cui
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Yafang Hu
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Abdallah A. Nafady
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
| | - Abdur Rahman Ansari
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
- Section of Anatomy and Histology, Department of Basic Sciences, College of Veterinary and Animal Sciences (CVAS) Jhang, University of Veterinary and Animal Sciences (UVAS), Lahore, Pakistan
| | - El-Sayed M. Abdel-Kafy
- Animal Production Research Institute (APRI), Agricultural Research Center (ARC), Ministry of Agriculture, Giza, Egypt
| | - Huazhen Liu
- Department of Basic Veterinary Medicine, College of Animal Science and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070 Hubei China
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103
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Chen Y, Xia Z, Li H. Metagenomic comparison of gut communities between hawksbills (Eretmochelys imbricata) and green sea turtles (Chelonia mydas). Arch Microbiol 2022; 204:450. [PMID: 35780445 DOI: 10.1007/s00203-022-03073-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 06/07/2022] [Accepted: 06/13/2022] [Indexed: 11/29/2022]
Abstract
The gut microbiota is closely linked to host nutrition, immunity, and health. Here, metagenomic analysis was conducted to elucidate the taxonomic and functional diversity of gut communities from hawksbills and green sea turtles. In terms of diversity and abundance, the gut microbiota of herbivorous green sea turtles showed a higher bacterial diversity and richness than that of hawksbills. Firmicutes dominated in all groups; however, the phylum Proteobacteria showed a higher relative abundance in hawksbills. Several metabolic pathways displayed broad prevalence and high relative abundances in the two sea turtle populations. Antibiotic resistance genes (ARGs) responsible for resistance to glycopeptide and tetracycline were the most abundant in all samples. In ARGs, the subtype macB was the most abundant in the two different sea turtle populations; however, evgS, bcrA, and efrA were more abundant in the green sea turtles, while in the hawksbills, tetT and tetB(P) were more abundant. Among mobile genetic elements (MGEs), the abundance of 16 MGE types showed a significant difference between the two sea turtle populations. MGE type transposase and plasmid were the most abundant in the two sea turtle populations. Additionally, gene functions were enriched in carbohydrate esterases, glycoside hydrolases, and polysaccharide lyases in the green sea turtles, whereas genes related to glycosyltransferases and auxiliary activities were highly abundant in hawksbills. These metagenomic profiles provide further insights into the microbial diversities of the two types of sea turtles and provide valuable information for future conservation efforts.
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Affiliation(s)
- Yuan Chen
- School of Life Science, Huizhou University, No. 46 Yanda Road, Huizhou, 516007, China
| | - Zhongrong Xia
- Guangdong Huidong Sea Turtle National Nature Reserve Administration, Huidong, 516359, Guangdong, China
| | - Hongwei Li
- School of Life Science, Huizhou University, No. 46 Yanda Road, Huizhou, 516007, China.
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104
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Dynamic description of temporal changes of gut microbiota in broilers. Poult Sci 2022; 101:102037. [PMID: 35901643 PMCID: PMC9334346 DOI: 10.1016/j.psj.2022.102037] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 06/19/2022] [Accepted: 06/22/2022] [Indexed: 12/09/2022] Open
Abstract
The diversity of bacteria and fungi in the gut microbiota of commercial broilers that raised in cages from hatch to the end of the production cycle were examined by an analysis of 3,592 and 3,899 amplicon sequence variants (ASVs), respectively. More than 90% sequences in bacterial communities were related to Firmicutes and Proteobacteria. More than 90% sequences in fungal communities were related to Ascomycota, Basidiomycota, and Glomeromycota. A statistical analysis of the microbiota composition succession showed that age was one of the main factors affecting the intestinal microbial communities of broilers. The increasingly complex community succession of transient microbiota occurred along with an increase of age. This dynamic change was observed to be similar between bacteria and fungi. The gut microbiota had a special structure in the first 3 d after birth of broiler. The microbiota structure was quite stable in the period of rapid skeletal growth (d 14–21), and then changed significantly in the period of rapid gaining weight (d 35–42), thus indicating the composition of gut microbiota in broilers had unique structures at different developmental stages. We observed that several bacteria and fungi occupied key functions in the gut microbiota of broilers, suggesting that the gut homeostasis of broilers might be affected by losses of bacteria and fungi via altering interactions between microbiota. This study aimed to provide a data basis for manipulating the microbiota at different developmental stages, in order to improve production and the intestinal health of broilers.
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105
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Dehau T, Ducatelle R, Immerseel FV, Goossens E. Omics technologies in poultry health and productivity - part 1: current use in poultry research. Avian Pathol 2022; 51:407-417. [PMID: 35675291 DOI: 10.1080/03079457.2022.2086447] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
In biology, molecular terms with the suffix "-omics" refer to disciplines aiming at the collective characterization of pools of molecules derived from different layers (DNA, RNA, proteins, metabolites) of living organisms using high-throughput technologies. Such omics analyses have been widely implemented in poultry research in recent years. This first part of a bipartite review on omics technologies in poultry health and productivity examines the use of multiple omics and multi-omics techniques in poultry research. More specific present and future applications of omics technologies, not only for the identification of specific diagnostic biomarkers, but also for potential future integration in the daily monitoring of poultry production, are discussed in part 2. Approaches based on omics technologies are particularly used in poultry research in the hunt for genetic markers of economically important phenotypical traits in the host, and in the identification of key bacterial species or functions in the intestinal microbiome. Integrative multi-omics analyses, however, are still scarce. Host physiology is investigated via genomics together with transcriptomics, proteomics and metabolomics techniques, to understand more accurately complex production traits such as disease resistance and fertility. The gut microbiota, as a key player in chicken productivity and health, is also a main subject of such studies, investigating the association between its composition (16S rRNA gene sequencing) or function (metagenomics, metatranscriptomics, metaproteomics, metabolomics) and host phenotypes. Applications of these technologies in the study of other host-associated microbiota and other host characteristics are still in their infancy.
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Affiliation(s)
- Tessa Dehau
- Livestock Gut Health Team (LiGHT) Ghent, Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Richard Ducatelle
- Livestock Gut Health Team (LiGHT) Ghent, Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Filip Van Immerseel
- Livestock Gut Health Team (LiGHT) Ghent, Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Evy Goossens
- Livestock Gut Health Team (LiGHT) Ghent, Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
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106
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Ramírez GA, Keshri J, Vahrson I, Garber AI, Berrang ME, Cox NA, González-Cerón F, Aggrey SE, Oakley BB. Cecal Microbial Hydrogen Cycling Potential Is Linked to Feed Efficiency Phenotypes in Chickens. Front Vet Sci 2022; 9:904698. [PMID: 35799838 PMCID: PMC9255636 DOI: 10.3389/fvets.2022.904698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 05/19/2022] [Indexed: 11/24/2022] Open
Abstract
In chickens, early life exposure to environmental microbes has long-lasting impacts on gastrointestinal (GI) microbiome development and host health and growth, via mechanisms that remain uncharacterized. In this study, we demonstrated that administrating a fecal microbiome transplant (FMT) from adults to day-of-hatch chicks results in significantly higher body mass of birds and decreased residual feed intake (RFI), implying enhanced feed efficiency, at 6 weeks of age. To assess the potential mechanisms through which FMT affects adult bird phenotype, we combined 16 S rRNA gene amplification, metagenomic, and comparative genomic approaches to survey the composition and predicted activities of the resident microbiome of various GI tract segments. Early life FMT exposure had a long-lasting significant effect on the microbial community composition and function of the ceca but not on other GI segments. Within the ceca of 6-week-old FMT birds, hydrogenotrophic microbial lineages and genes were most differentially enriched. The results suggest that thermodynamic regulation in the cecum, in this case via hydrogenotrophic methanogenic and sulfur-cycling lineages, potentially serving as hydrogen sinks, may enhance fermentative efficiency and dietary energy harvest capacity. Our study provides a specific mechanism of action through which early-life microbiome transplants modulate market-relevant phenotypes in poultry and, thereby, may represent a significant advance toward microbiome-focused sustainable agriculture.
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Affiliation(s)
- Gustavo Antonio Ramírez
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA, United States
- Leon H. Charney School of Marine Sciences, Haifa University, Haifa, Israel
| | - Jitendra Keshri
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA, United States
| | - Isabella Vahrson
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA, United States
| | - Arkadiy I. Garber
- School of Life Sciences, Arizona State University, Tempe, AZ, United States
| | - Mark E. Berrang
- Poultry Microbiological Safety and Processing Research Unit, USDA Agricultural Research Service, Athens, GA, United States
| | - Nelson A. Cox
- Poultry Microbiological Safety and Processing Research Unit, USDA Agricultural Research Service, Athens, GA, United States
| | - Fernando González-Cerón
- Departamento de Zootecnia, Chapingo Autonomous University, Estado de Mexico, Mexico
- NutriGenomics Laboratory, Department of Poultry Science, University of Georgia, Athens, GA, United States
| | - Samuel E. Aggrey
- NutriGenomics Laboratory, Department of Poultry Science, University of Georgia, Athens, GA, United States
| | - Brian B. Oakley
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA, United States
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107
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Dai D, Qi GH, Wang J, Zhang HJ, Qiu K, Wu SG. Intestinal microbiota of layer hens and its association with egg quality and safety. Poult Sci 2022; 101:102008. [PMID: 35841638 PMCID: PMC9289868 DOI: 10.1016/j.psj.2022.102008] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 06/05/2022] [Accepted: 06/08/2022] [Indexed: 12/27/2022] Open
Abstract
The intestinal microbiota has attracted tremendous attention in the field of the poultry industry due to its critical role in the modulation of nutrient utilization, immune system, and consequently the improvement of the host health and production performance. Accumulating evidence implies intestinal microbiota of laying hens is a potential mediator to improve the prevalent issues in terms of egg quality decline in the late phase of laying production. However, the regulatory effect of intestinal microbiota on egg quality in laying hens remains elusive, which requires consideration of microbial baseline composition and succession during their long lifespans. Notable, although Firmicutes, Bacteroidetes, and Proteobacteria form the vast majority of intestinal microbiota in layer hens, dynamic intestinal microbiota succession occurs throughout all laying periods. In addition to the direct effects on egg safety, intestinal microbiota and its metabolites such as short-chain fatty acids, bile acids, and tryptophan derivatives, are suggested to indirectly modulate egg quality through the microbiota-gut-liver/brain-reproductive tract axis. These findings can extend our understanding of the crosstalk between intestinal microbiota and the host to improve egg quality and safety. This paper reviews the compositions of intestinal microbiota in different physiological stages of laying hens and their effects on egg quality and proposes that intestinal microbiota may become a potential target for modulating egg quality and safety by nutritional strategies in the future.
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Affiliation(s)
- Dong Dai
- Laboratory of Quality & Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture & Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Guang-Hai Qi
- Laboratory of Quality & Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture & Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jing Wang
- Laboratory of Quality & Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture & Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Hai-Jun Zhang
- Laboratory of Quality & Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture & Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Kai Qiu
- Laboratory of Quality & Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture & Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shu-Geng Wu
- Laboratory of Quality & Safety Risk Assessment for Animal Products on Feed Hazards (Beijing) of the Ministry of Agriculture & Rural Affairs, Institute of Feed Research, Chinese Academy of Agricultural Sciences, Beijing 100081, China
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108
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Farkas V, Csitári G, Menyhárt L, Such N, Pál L, Husvéth F, Rawash MA, Mezőlaki Á, Dublecz K. Microbiota Composition of Mucosa and Interactions between the Microbes of the Different Gut Segments Could Be a Factor to Modulate the Growth Rate of Broiler Chickens. Animals (Basel) 2022; 12:ani12101296. [PMID: 35625142 PMCID: PMC9137591 DOI: 10.3390/ani12101296] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/05/2022] [Accepted: 05/16/2022] [Indexed: 12/16/2022] Open
Abstract
Simple Summary The microbial communities inhabiting the gastrointestinal tract (GIT) of chickens are essential for the gut homeostasis, metabolism, and health status of the host animal. Previous studies exploring the relationship between chicken growth performance and gut microbiota focused mostly on gut content and excreta samples, neglecting the mucosa that promotes colonisation by distinct groups of microorganisms. These observations emphasised the importance of studying the variations between the bacterial communities of the lumen and mucosa throughout the different sections of the GIT. The novelty of this study is that we have evaluated the microbial communities of the jejunum chymus, jejunum mucosa, and caecum chymus of broiler chickens with different growth rates. Besides the bacteriota composition, the interactions between the bacteria were also evaluated. We have confirmed that the microbiota composition is influenced mostly by the sampling place. However, some body weight (BW)-related changes and interactions have also been found. In these cases, the mucosa seems to play a crucial role. Abstract The study reported here aimed to determine whether correlations can be found between the intestinal segment-related microbiota composition and the different growing intensities of broiler chickens. The bacterial community structures of three intestinal segments (jejunum chymus—JC, jejunum mucosa—JM, caecum chymus—CC) from broiler chickens with low body weight (LBW) and high body weight (HBW) were investigated. Similar to the previous results in most cases, significant differences were found in the bacteriota diversity and composition between the different sampling places. However, fewer body weight (BW)-related differences were detected. In the JM of the HBW birds, the Bacteroidetes/Firmicutes ratio (B/F) was also higher. At the genus level significant differences were observed between the BW groups in the relative abundance of Enterococcus, mainly in the JC; Bacteroides and Ruminococcaceae UCG-010, mainly in the JM; and Ruminococcaceae UCG-013, Negativibacillus, and Alistipes in the CC. These genera and others (e.g., Parabacteroides and Fournierella in the JM; Butyricoccus, Ruminiclostridium-9, and Bilophila in the CC) showed a close correlation with BW. The co-occurrence interaction results in the JC revealed a correlation between the genera of Actinobacteria (mainly with Corynebacterium) and Firmicutes Bacilli classes with different patterns in the two BW groups. In the JM of LBW birds, two co-occurring communities were found that were not identifiable in HBW chickens and their members belonged to the families of Ruminococcaceae and Lachnospiraceae. In the frame of the co-occurrence evaluation between the jejunal content and mucosa, the two genera (Trichococcus and Oligella) in the JC were found to have a significant positive correlation with other genera of the JM only in LBW chickens.
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Affiliation(s)
- Valéria Farkas
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (V.F.); (G.C.); (N.S.); (L.P.); (F.H.); (M.A.R.)
| | - Gábor Csitári
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (V.F.); (G.C.); (N.S.); (L.P.); (F.H.); (M.A.R.)
| | - László Menyhárt
- Institute of Mathematics and Basic Science, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary;
| | - Nikoletta Such
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (V.F.); (G.C.); (N.S.); (L.P.); (F.H.); (M.A.R.)
| | - László Pál
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (V.F.); (G.C.); (N.S.); (L.P.); (F.H.); (M.A.R.)
| | - Ferenc Husvéth
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (V.F.); (G.C.); (N.S.); (L.P.); (F.H.); (M.A.R.)
| | - Mohamed Ali Rawash
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (V.F.); (G.C.); (N.S.); (L.P.); (F.H.); (M.A.R.)
| | - Ákos Mezőlaki
- Agrofeed Ltd., Duna Kapu Square 10, 9022 Győr, Hungary;
| | - Károly Dublecz
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (V.F.); (G.C.); (N.S.); (L.P.); (F.H.); (M.A.R.)
- Correspondence: ; Tel.: +36-30-6418597
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109
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Amevor FK, Cui Z, Du X, Feng J, Shu G, Ning Z, Xu D, Deng X, Song W, Wu Y, Cao X, Wei S, He J, Kong F, Du X, Tian Y, Karikari B, Li D, Wang Y, Zhang Y, Zhu Q, Zhao X. Synergy of Dietary Quercetin and Vitamin E Improves Cecal Microbiota and Its Metabolite Profile in Aged Breeder Hens. Front Microbiol 2022; 13:851459. [PMID: 35656004 PMCID: PMC9152675 DOI: 10.3389/fmicb.2022.851459] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 04/25/2022] [Indexed: 11/23/2022] Open
Abstract
In the present study, the synergistic effects of quercetin (Q) and vitamin E (E) on cecal microbiota composition and function, as well as the microbial metabolic profile in aged breeder hens were investigated. A total of 400 (65 weeks old) Tianfu breeder hens were randomly allotted to four experimental groups (four replicates per group). The birds were fed diets containing quercetin at 0.4 g/kg, vitamin E (0.2 g/kg), quercetin and vitamin E (QE; 0.4 g/kg and 0.2 g/kg), and a basal diet for a period of 10 wks. After the 10 week experimental period, the cecal contents of 8 aged breeder hens per group were sampled aseptically and subjected to high-throughput 16S rRNA gene sequencing and untargeted metabolomic analysis. The results showed that the relative abundances of phyla Bacteroidota, Firmicutes, and Actinobacteriota were the most prominent among all the dietary groups. Compared to the control group, the relative abundance of the families Bifidobacteriaceae, Lachnospiraceae, Tannerellaceae, Mathonobacteriaceae, Barnesiellaceae, and Prevotellaceae were enriched in the QE group; and Bacteroidaceae, Desulfovibrionaceae, Peptotostretococcaceae, and Fusobacteriaceae were enriched in the Q group, whereas those of Lactobacillaceae, Veillonellaceae, Ruminococcaceae, Akkermansiaceae, and Rikenellaceae were enriched in the E group compared to the control group. Untargeted metabolomics analyses revealed that Q, E, and QE modified the abundance of several metabolites in prominent pathways including ubiquinone and other terpenoid-quinone biosynthesis, regulation of actin cytoskeleton, insulin secretion, pancreatic secretion, nicotine addiction, and metabolism of xenobiotics by cytochrome P450. Furthermore, key cecal microbiota, significantly correlated with important metabolites, for example, (S)-equol positively correlated with Alistipes and Chlamydia in E_vs_C, and negatively correlated with Olsenella, Paraprevotella, and Mucispirillum but, a contrary trend was observed with Parabacteroides in QE_vs_C. This study establishes that the synergy of quercetin and vitamin E alters the cecal microbial composition and metabolite profile in aged breeder hens, which lays a foundation for chicken improvement programs.
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Affiliation(s)
- Felix Kwame Amevor
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Zhifu Cui
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Xiaxia Du
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Jing Feng
- Institute of Animal Husbandry and Veterinary Medicine, College of Agriculture and Animal Husbandry, Tibet Autonomous Region, China
| | - Gang Shu
- Department of Basic Veterinary Medicine, Sichuan Agricultural University, Chengdu, China
| | - Zifan Ning
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Dan Xu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Xun Deng
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Weizhen Song
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Youhao Wu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Xueqing Cao
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Shuo Wei
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Juan He
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Fanli Kong
- College of Life Science, Sichuan Agricultural University, Ya’an, China
| | - Xiaohui Du
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Yaofu Tian
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Benjamin Karikari
- Key Laboratory of Biology and Genetics and Breeding for Soybean, Nanjing Agricultural University, Nanjing, China
| | - Diyan Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Yan Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Yao Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Qing Zhu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Xiaoling Zhao
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
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Pan S, Zhu C, Zhao XM, Coelho LP. A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments. Nat Commun 2022; 13:2326. [PMID: 35484115 PMCID: PMC9051138 DOI: 10.1038/s41467-022-29843-y] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 03/31/2022] [Indexed: 12/14/2022] Open
Abstract
Metagenomic binning is the step in building metagenome-assembled genomes (MAGs) when sequences predicted to originate from the same genome are automatically grouped together. The most widely-used methods for binning are reference-independent, operating de novo and enable the recovery of genomes from previously unsampled clades. However, they do not leverage the knowledge in existing databases. Here, we introduce SemiBin, an open source tool that uses deep siamese neural networks to implement a semi-supervised approach, i.e. SemiBin exploits the information in reference genomes, while retaining the capability of reconstructing high-quality bins that are outside the reference dataset. Using simulated and real microbiome datasets from several different habitats from GMGCv1 (Global Microbial Gene Catalog), including the human gut, non-human guts, and environmental habitats (ocean and soil), we show that SemiBin outperforms existing state-of-the-art binning methods. In particular, compared to other methods, SemiBin returns more high-quality bins with larger taxonomic diversity, including more distinct genera and species.
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Affiliation(s)
- Shaojun Pan
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Shanghai, China
| | - Chengkai Zhu
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Shanghai, China
- School of Life Sciences, Fudan University, Shanghai, China
| | - Xing-Ming Zhao
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Shanghai, China.
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China.
- Zhangjiang Fudan International Innovation Center, Shanghai, China.
| | - Luis Pedro Coelho
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Shanghai, China.
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Hao Y, Ji Z, Shen Z, Xue Y, Zhang B, Yu D, Liu T, Luo D, Xing G, Tang J, Hou S, Xie M. Increase Dietary Fiber Intake Ameliorates Cecal Morphology and Drives Cecal Species-Specific of Short-Chain Fatty Acids in White Pekin Ducks. Front Microbiol 2022; 13:853797. [PMID: 35464956 PMCID: PMC9021919 DOI: 10.3389/fmicb.2022.853797] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 03/02/2022] [Indexed: 12/12/2022] Open
Abstract
The current study was to investigate the modulatory effects of total dietary fiber (TDF) levels on cecal morphology and the response of microbiota to maintain gut health for duck growth. A total of 192 14-day-old male white Pekin ducks were randomly allocated to three dietary groups and fed diets, containing 12.4, 14.7, and 16.2% TDF, respectively, until 35 days under the quantitative feed intake. Each dietary group consisted of eight replicate cages of eight birds. The results revealed that 14.7 and 16.2% TDF groups significantly promoted growth performance and improved villus height, the ratio of villus to crypt, muscle layer thickness, and goblet cells per villus of cecum in ducks. qPCR results showed that the transcriptional expression of Claudin-1, Muc2, IGF-1, and SLC16A1 was significantly upregulated in cecum in 14.7 and 16.2% TDF groups. Meanwhile, the concentration of IGF-1 in circulating was significantly increased in 14.7 and 16.2% TDF groups while that of DAO was significantly decreased in 16.2% TDF group. Furthermore, the concentrations of butyrate, isobutyrate, valerate, and isovalerate in cecum were conspicuously improved in 14.7 and 16.2% TDF groups while that of propionate was significantly decreased. In addition, the concentrations of butyrate, isobutyrate, valerate, and isovalerate in cecum presented negative correlations with the concentration of DAO in circulating. 16S rRNA gene sequencing results showed that the 14.7% TDF group importantly elevated the microbial richness. Simultaneously, butyrate-producing bacteria like the family Lachnospiraceae, Oscillospiraceae, and Erysipelatoclostridiaceae were enriched as biomarkers in the 16.2% TDF group. Correlation network analysis revealed that the associations between specific bacteria and short-chain fatty acids (SCFAs) induced by different TDF levels, and the correlations among bacteria were also witnessed. For example, the genus Monoglobus and CHKCI002 showed a positive correlation with butyrate, and there was a positively coexistent association between Monoglobus and CHKCI002. In summary, these data revealed that increasing the TDF level could enhance the cecal morphology and drive cecal species-specific of SCFAs in ducks.
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Affiliation(s)
- Yongsheng Hao
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhanqing Ji
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhongjian Shen
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Youjia Xue
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Bo Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Daxin Yu
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Tong Liu
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Dawei Luo
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guangnan Xing
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jing Tang
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Shuisheng Hou
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ming Xie
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
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Deng S, Hu S, Xue J, Yang K, Zhuo R, Xiao Y, Fang R. Productive Performance, Serum Antioxidant Status, Tissue Selenium Deposition, and Gut Health Analysis of Broiler Chickens Supplemented with Selenium and Probiotics-A Pilot Study. Animals (Basel) 2022; 12:ani12091086. [PMID: 35565512 PMCID: PMC9103767 DOI: 10.3390/ani12091086] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/08/2022] [Accepted: 04/12/2022] [Indexed: 02/04/2023] Open
Abstract
The effect and interaction of dietary selenium (Se) and probiotics on three yellow chicken growth performance, tissue Se content, antioxidant capacity, and gut health were studied from 0 to 70 days of age. A total of 400 one-day-old broilers were distributed into four groups (I-Se, O-Se, I-Se + pros, and O-Se + pros groups) consisting of a 2 × 2 factorial design. The main factors were the source of Se (I-Se = inorganic Se: 0.2 mg/kg sodium selenite; O-Se = organic Se: 0.2 mg/kg Selenium yeast) and the level of probiotics (0.5% EM or 0% EM, the component of EM mainly includes Lactobacillus and Yeast at the dose of 2 × 108 cfu/kg and 3 × 107 cfu/kg, respectively). Each treatment had 5 duplicates consisting of 20 broilers. The results showed that the I-Se group had a greater (p < 0.05) ratio of feed: weight gain (F/G) of broilers at Starter (0−35 d) than the other treatments. Compared to the I-Se group, the O-Se group increased (p < 0.05) Se concentrations in the liver, pancreas, breast muscles, thigh muscle, and the activity of total antioxidative capacity (T-AOC) in serum, as well as the relative abundance of Barnesiella and Lactobacillus in cecum. Meanwhile, probiotics enhanced (p < 0.05) Se concentrations in the pancreas, thigh muscle, serum, and the activity of T-AOC and glutathione peroxidase (GSH-Px), the duodenum’s ratio of villi height to crypt depth (V/C), the jejunum villus height and V/C, and the ileum’s villus height. Furthermore, the significant interactions (p < 0.05) between Se sources and the level of probiotics were observed in Se concentrations in the pancreas, thigh muscle, serum, crypt depth of duodenum, and villus height of jejunum of birds, and Barnesiella abundance in the cecal. In conclusion, our results demonstrate that the combination of O-Se + pros can improve broiler early growth performance, tissue Se content in the pancreas, thigh muscle, and serum, promote intestinal development, and regulate the composition of intestinal flora, suggesting a better combination. These findings provide an effective method of nutrient combination addition to improving the performance of three yellow chickens.
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Affiliation(s)
- Shengting Deng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (S.D.); (S.H.); (J.X.); (K.Y.); (R.Z.); (Y.X.)
- Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128, China
| | - Shengjun Hu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (S.D.); (S.H.); (J.X.); (K.Y.); (R.Z.); (Y.X.)
- Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128, China
| | - Junjing Xue
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (S.D.); (S.H.); (J.X.); (K.Y.); (R.Z.); (Y.X.)
- Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128, China
| | - Kaili Yang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (S.D.); (S.H.); (J.X.); (K.Y.); (R.Z.); (Y.X.)
- Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128, China
| | - Ruiwen Zhuo
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (S.D.); (S.H.); (J.X.); (K.Y.); (R.Z.); (Y.X.)
- Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128, China
| | - Yuanyuan Xiao
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (S.D.); (S.H.); (J.X.); (K.Y.); (R.Z.); (Y.X.)
- Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128, China
| | - Rejun Fang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China; (S.D.); (S.H.); (J.X.); (K.Y.); (R.Z.); (Y.X.)
- Hunan Co-Innovation Center of Animal Production Safety, Changsha 410128, China
- Correspondence:
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113
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Emami NK, Schreier LL, Greene E, Tabler T, Orlowski SK, Anthony NB, Proszkowiec-Weglarz M, Dridi S. Ileal microbial composition in genetically distinct chicken lines reared under normal or high ambient temperatures. Anim Microbiome 2022; 4:28. [PMID: 35449035 PMCID: PMC9028080 DOI: 10.1186/s42523-022-00183-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 04/06/2022] [Indexed: 12/20/2022] Open
Abstract
Background Heat stress (HS) has negative effects on poultry productivity, health and welfare resulting in economic losses. Broiler chickens are particularly susceptible to HS due to their high metabolic rate and rapid growth. The commensal intestinal bacterial populations have an important physiological role in the host and could ameliorate the negative effect of HS on the host. Thus, the aim of this study was to compare changes in the ileal (IL) microbiota in four different broiler lines during HS.
Results Day-old broiler chicks from Giant Jungle Fowl (JF), Athens Canadian Random Bred (ACRB), 1995 Random Bred (L1995), and Modern Random Bred (L2015) lines were raised under thermoneutral (TN) conditions until day (d) 28. On d 29 birds were subjected to TN (24 °C) or chronic cyclic HS (8 h/d, 36 °C) condition till d 56. On d 56 two birds per pen were euthanized, and IL luminal content (IL-L) and mucosal scrapings (IL-M) were collected for bacterial DNA isolation. Libraries were constructed using V3–V4 16S rRNA primers and sequenced using MiSeq. DNA sequences were analyzed using QIIME2 platform and SILVA 132 database for alpha and beta diversity, and taxonomic composition, respectively. Functional property of microbiota was predicted using the PICRUSt 2 pipeline and illustrated with STAMP software. Shannon index was significantly elevated in IL-M under HS. β-diversity PCoA plots revealed separation of microbial community of L2015-TN from JF-TN, JF-HS, ACRB-TN, and ACRB-HS in the IL-M. PERMANOVA analysis showed a significant difference between microbial community of L1995-HS compared to ACRB-HS and JF-TN, L1995-TN compared to ACRB-HS and JF-TN, L2015-HS compared to ACRB-HS and ACRB-TN, L2015-HS compared to JF-TN, L2015-TN compared to ACRB-HS and JF-TN, and ACRB-HS compared to JF-TN in the IL-L. The impact of HS on microbial composition of IL-M was more prominent compared to IL-L with 12 and 2 taxa showing significantly different relative abundance, respectively. Furthermore, differences in microbiota due to the genetic line were more prominent in IL-M than IL-L with 18 and 8 taxa showing significantly different relative abundance, respectively. Unlike taxonomy, predicted function of microbiota was not affected by HS. Comparison of L2015 with JF or ACRB showed significant changes in predicted function of microbiota in both, IL-M and IL-L. Differences were most prominent between L2015 and JF; while there was no difference between L2015 and L1995. Conclusions These data indicate the genetic line × temperature effect on the diversity and composition of IL microbiota. Moreover, the data showcase the effect of host genetics on the composition of IL microbiota and their predicted function. These data are of critical importance for devising nutritional strategies to maintain GIT microbial balance and alleviate the negative effects of HS on broiler chickens’ performance and health. Supplementary Information The online version contains supplementary material available at 10.1186/s42523-022-00183-y.
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Affiliation(s)
- Nima K Emami
- Center of Excellence for Poultry Science, University of Arkansas, 1260 W. Maple Street, Fayetteville, AR, 72701, USA
| | - Lori L Schreier
- United States Department of Agriculture, Agricultural Research Service, Northeast Area, Animal Biosciences and Biotechnology Laboratory, Beltsville, MD, 20705, USA
| | - Elizabeth Greene
- Center of Excellence for Poultry Science, University of Arkansas, 1260 W. Maple Street, Fayetteville, AR, 72701, USA
| | - Travis Tabler
- Center of Excellence for Poultry Science, University of Arkansas, 1260 W. Maple Street, Fayetteville, AR, 72701, USA
| | - Sara K Orlowski
- Center of Excellence for Poultry Science, University of Arkansas, 1260 W. Maple Street, Fayetteville, AR, 72701, USA
| | - Nicholas B Anthony
- Center of Excellence for Poultry Science, University of Arkansas, 1260 W. Maple Street, Fayetteville, AR, 72701, USA
| | - Monika Proszkowiec-Weglarz
- United States Department of Agriculture, Agricultural Research Service, Northeast Area, Animal Biosciences and Biotechnology Laboratory, Beltsville, MD, 20705, USA.
| | - Sami Dridi
- Center of Excellence for Poultry Science, University of Arkansas, 1260 W. Maple Street, Fayetteville, AR, 72701, USA.
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Korver DR. Intestinal nutrition: role of vitamins and biofactors and gaps of knowledge. Poult Sci 2022; 101:101665. [PMID: 35168163 PMCID: PMC8850792 DOI: 10.1016/j.psj.2021.101665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/13/2021] [Accepted: 12/17/2021] [Indexed: 11/16/2022] Open
Abstract
The role of the microbiota in the health of the host is complex and multifactorial. The microbiota both consumes nutrients in competition with the host, but also creates nutrients that can be used by other microbes, but also the host. However, the quantitative impact of the microbiota on nutrient supply and demand is not well understood in poultry. The gastrointestinal tract is one of the largest points of contact with the external environment, and the intestinal microbiome is the largest and most complex of any system. Although the intestinal microbiota has first access to consumed nutrients, including vitamins, and is potentially a major contributor to production of various vitamins, the quantification of these impacts remains very poorly understood in poultry. Based on the human literature, it is clear that vitamin deficiencies can have systemic effects on the regulation of many physiological systems, beyond the immediate, direct nutrient functions of the vitamins. The impact of excessive supplementation of vitamins on the microbiota is not well understood in any species. In the context of poultry nutrition, in which substantial dietary excesses of most vitamins are provided, this represents a knowledge gap. Given the paucity of studies investigating the vitamin requirements of modern, high-producing poultry, the limited understanding of vitamin nutrition (supply and utilization) by the microbiome, and the potential impacts on the microbiome of the move away from dietary growth-promoting antibiotic use, more research in this area is required. The microbiota also contributes a vast array of other metabolites involved in intramicrobiota communication, symbiosis and competition that can also have an impact on the host. Myo-inositol and butyrate are briefly discussed as examples of biofactors produced by the microbiota as mediators of intestinal health.
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Affiliation(s)
- Douglas R Korver
- Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Canada T6G 2P5.
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115
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Liu T, Guo L, Zhangying Y, Ruan S, Liu W, Zhang X, Feng F. Dietary medium-chain 1-monoglycerides modulates the community and function of cecal microbiota of broilers. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2022; 102:2242-2252. [PMID: 34622457 DOI: 10.1002/jsfa.11562] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 09/30/2021] [Accepted: 10/07/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Medium-chain monoglycerides (MGs) are a group of 1-monoglycerides of medium-chain fatty acids with strong antibacterial activity, which may influence the gut microbiota in the diet of broilers. The present study evaluated the effects of mixed MGs on the community and function of gut microbiota in broilers. A total of 528 newly hatched male yellow feathered broiler chicks were weighed and randomly assigned into four groups, including a basal diet (CON), a basal diet containing 300 mg kg-1 MG (MG300), 450 mg kg-1 MG (MG450), or 600 mg kg-1 MG (MG600). RESULTS The cecal acetic acid, propionic acid, butyric acid, isobutyric acid, isovaleric acid and total short-chain fatty acid of broilers in the MG-containing groups were notably increased compared with the CON group. Dietary MG selectively increased the relative abundance of Bifidobacteriaceae, Bacteroides and an unclassified genus of Lachnospiraceae family, but decreased the proportion of an unclassified genus of Barnesiellaceae and a norank genus of Flavobacteriaceae family in the cecum of broilers. Functional prediction revealed that MG supplementation enriched the microbial gene abundance of amino acid metabolism and carbohydrate metabolism, while depleted the gene abundance of fat metabolism and energy metabolism. Moreover, the modulation of gut microbiota by MG supplementation was closely correlated with the alteration of muscle amino acids. CONCLUSION Dietary MGs altered the gut microbiota community structure and metabolites, and modulated the gene abundance of microbial metabolism pathways in the cecum of broilers, which may further influence the growth performance, nutrient utilization and meat quality of the host. © 2021 Society of Chemical Industry.
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Affiliation(s)
- Tao Liu
- ZhongYuan Institute, Zhejiang University, Zhengzhou, China
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
- Hangzhou Longyu Biotechnology Co., Ltd, Hangzhou, China
| | - Liangyong Guo
- Institute of Animal Sciences, Huzhou Academy of Agricultural Sciences, Huzhou, China
| | - Ye Zhangying
- ZhongYuan Institute, Zhejiang University, Zhengzhou, China
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Shengyue Ruan
- ZhongYuan Institute, Zhejiang University, Zhengzhou, China
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Wangxin Liu
- ZhongYuan Institute, Zhejiang University, Zhengzhou, China
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
| | - Xi Zhang
- School of Chinese Materia Medica, Yunnan University of Chinese Medicine, Kunming, China
| | - Fengqin Feng
- ZhongYuan Institute, Zhejiang University, Zhengzhou, China
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
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Qiu M, Hu J, Peng H, Li B, Xu J, Song X, Yu C, Zhang Z, Du X, Bu G, Huang A, Han X, Zeng X, Yang C, Kong F. Research Note: The Gut Microbiota Varies with Dietary Fiber Levels in Broilers. Poult Sci 2022; 101:101922. [PMID: 35588564 PMCID: PMC9120484 DOI: 10.1016/j.psj.2022.101922] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 02/17/2022] [Accepted: 02/21/2022] [Indexed: 11/25/2022] Open
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Cui Y, Sun W, Li Q, Wang K, Wang Y, Lv F, Chen X, Peng X, Wang Y, Li J, Si H. Effects of Caulis Spatholobi Polysaccharide on Immunity, Intestinal Mucosal Barrier Function, and Intestinal Microbiota in Cyclophosphamide-Induced Immunosuppressive Chickens. Front Vet Sci 2022; 9:833842. [PMID: 35372558 PMCID: PMC8972122 DOI: 10.3389/fvets.2022.833842] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 01/14/2022] [Indexed: 12/14/2022] Open
Abstract
The protective effects of Caulis Spatholobi polysaccharide (CSP) on immune function, intestinal mucosal barrier, and intestinal microflora in cyclophosphamide (CY)-induced immunosuppressed chickens have been rarely reported. This study was designed to investigate the cecal microbiota in chickens and to elucidate the immune mechanism involved in the CSP effect on CY induced-immunosuppressed chickens. A total of 288 cocks were equally divided into six groups and used to evaluate the immune effect of CSP. Results showed that the CSP increased the body weight and immune organ index of immunosuppressed chickens, significantly increased the secretion of cytokines (IL-4, IL-10) and immunoglobulins (IgG, IgM) in sera of chickens, and restored the body immune function. The CSP reduced intestinal injury of the jejunum and ileum, increased the ratio of the intestinal villus height to crypt depth (V/C), improved the expression of tight junction protein, and protected intestinal health. The CSP activated the toll-like receptor (TLR)/MyD88/NF-κB pathway and enhanced the expression of TLR4, MyD88, NF-κB, Claudin1, and Zo-1, protecting the intestinal tract. High-throughput sequencing of the 16S rRNA gene showed that CSP increased species richness, restored CY-induced intestinal microbiome imbalance, and enhanced the abundance of Lactobacillus in the intestinal tract. In conclusion, our study provided a scientific basis for CSP as an immune enhancer to regulate intestinal microflora and protect intestinal mucosal damage in chickens.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Jiang Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Hongbin Si
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Animal Science and Technology, Guangxi University, Nanning, China
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118
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Kogut MH. Role of diet-microbiota interactions in precision nutrition of the chicken: facts, gaps, and new concepts. Poult Sci 2022; 101:101673. [PMID: 35104729 PMCID: PMC8814386 DOI: 10.1016/j.psj.2021.101673] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 12/08/2021] [Accepted: 12/14/2021] [Indexed: 12/12/2022] Open
Abstract
In the intestine, host-derived factors are genetically hardwired and difficult to modulate. However, the intestinal microbiome is more plastic and can be readily modulated by dietary factors. Further, it is becoming more apparent that the microbiome can potentially impact poultry physiology by participating in digestion, the absorption of nutrients, shaping of the mucosal immune response, energy homeostasis, and the synthesis or modulation of several potential bioactive metabolites. These activities are dependent on the quantity and quality of the microbiota alongside its metabolic potential, which are dictated in large part by diet. Thus, diet-induced microbiota alterations may be harnessed to induce changes in host physiology, including disease development and progression. In this regard, the gut microbiome is malleable and renders the gut microbiome a candidate 'organ' for the possibility of precision nutrition to induce precision microbiomics-the use of the gut microbiome as a biomarker to predict responsiveness to specific dietary constituents to generate precision diets and interventions for optimal poultry performance and health. However, it is vital to identify the causal relationships and mechanisms by which dietary components and additives affect the gut microbiome which then ultimately influence avian physiology. Further, an improved understanding of the spatial and functional relationships between the different sections of the avian gut and their regional microbiota will provide a better understanding of the role of the diet in regulating the intestinal microbiome.
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Affiliation(s)
- Michael H Kogut
- Southern Plains Agricultural Research Center, USDA-ARS, College Station, TX 77845, USA.
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119
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Bacterial community identification in poultry carcasses using high-throughput next generation sequencing. Int J Food Microbiol 2022; 364:109533. [DOI: 10.1016/j.ijfoodmicro.2022.109533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 11/24/2022]
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120
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Jing Y, Yuan Y, Monson M, Wang P, Mu F, Zhang Q, Na W, Zhang K, Wang Y, Leng L, Li Y, Luan P, Wang N, Guo R, Lamont SJ, Li H, Yuan H. Multi-Omics Association Reveals the Effects of Intestinal Microbiome-Host Interactions on Fat Deposition in Broilers. Front Microbiol 2022; 12:815538. [PMID: 35250914 PMCID: PMC8892104 DOI: 10.3389/fmicb.2021.815538] [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: 11/15/2021] [Accepted: 12/31/2021] [Indexed: 12/12/2022] Open
Abstract
Growing evidence indicates that gut microbiota factors cannot be viewed as independent in the occurrence of obesity. Because the gut microbiome is highly dimensional and complex, studies on interactions between gut microbiome and host in obesity are still rare. To explore the relationship of gut microbiome-host interactions with obesity, we performed multi-omics associations of gut metagenome, intestinal transcriptome, and host obesity phenotypes in divergently selected obese-lean broiler lines. Metagenomic shotgun sequencing generated a total of 450 gigabases of clean data from 80 intestinal segment contents of 20 broilers (10 of each line). The microbiome comparison showed that microbial diversity and composition in the duodenum, jejunum, ileum, and ceca were altered variously between the lean- and fat-line broilers. We identified two jejunal microbes (Escherichia coli and Candidatus Acetothermia bacterium) and four cecal microbes (Alistipes sp. CHKCI003, Ruminococcaceae bacterium CPB6, Clostridiales bacterium, and Anaeromassilibacillus sp. An200), which were significantly different between the two lines (FDR < 0.05). When comparing functional metagenome, the fat-line broilers had an intensive microbial metabolism in the duodenum and jejunum but degenerative microbial activities in the ileum and ceca. mRNA-sequencing identified a total of 1,667 differentially expressed genes (DEG) in the four intestinal compartments between the two lines (| log2FC| > 1.5 and FDR < 0.05). Multi-omics associations showed that the 14 microbial species with abundances that were significantly related with abdominal fat relevant traits (AFRT) also have significant correlations with 155 AFRT-correlated DEG (p < 0.05). These DEG were mainly involved in lipid metabolism, immune system, transport and catabolism, and cell growth-related pathways. The present study constructed a gut microbial gene catalog of the obese-lean broiler lines. Intestinal transcriptome and metagenome comparison between the two lines identified candidate DEG and differential microbes for obesity, respectively. Multi-omics associations suggest that abdominal fat deposition may be influenced by the interactions of specific gut microbiota abundance and the expression of host genes in the intestinal compartments in which the microbes reside. Our study explored the interactions between gut microbiome and host intestinal gene expression in lean and obese broilers, which may expand knowledge on the relationships between obesity and gut microbiome.
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Affiliation(s)
- Yang Jing
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yuqi Yuan
- Novogene Bioinformatics Institute, Beijing, China
| | - Melissa Monson
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Peng Wang
- Novogene Bioinformatics Institute, Beijing, China
| | - Fang Mu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Qi Zhang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Wei Na
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Ke Zhang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yuxiang Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Li Leng
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yumao Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Peng Luan
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Ning Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Rongjun Guo
- Novogene Bioinformatics Institute, Beijing, China
| | - Susan J. Lamont
- Department of Animal Science, Iowa State University, Ames, IA, United States
| | - Hui Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Hui Yuan
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
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Abstract
Buffalo is an important livestock species. Here, we present a comprehensive metagenomic survey of the microbial communities along the buffalo digestive tract. We analysed 695 samples covering eight different sites in three compartments (four-chambered stomach, intestine, and rectum). We mapped ~85% of the raw sequence reads to 4,960 strain-level metagenome-assembled genomes (MAGs) and 3,255 species-level MAGs, 90% of which appear to correspond to new species. In addition, we annotated over 5.8 million nonredundant proteins from the MAGs. In comparison with the rumen microbiome of cattle, the buffalo microbiota seems to present greater potential for fibre degradation and less potential for methane production. Our catalogue of microbial genomes and the encoded proteins provides insights into microbial functions and interactions at distinct sites along the buffalo digestive tract.
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122
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Lee MD, Ipharraguerre IR, Arsenault RJ, Lyte M, Lyte JM, Humphrey B, Angel R, Korver DR. Informal nutrition symposium: leveraging the microbiome (and the metabolome) for poultry production. Poult Sci 2022; 101:101588. [PMID: 34933222 PMCID: PMC8703059 DOI: 10.1016/j.psj.2021.101588] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/30/2021] [Accepted: 11/02/2021] [Indexed: 01/07/2023] Open
Abstract
Knowledge of gut microbiology of poultry has advanced from a limited ability to culture relatively few microbial species, to attempting to understand the complex interactions between the bird and its microbiome. The Informal Nutrition Symposium 2021 was intended to help poultry scientists to make sense of the implications of the vast amounts of information being generated by researchers. This paper represents a compilation of the talks given at the symposium by leading international researchers in this field. The symposium began with an overview of the historical developments in the field of intestinal microbiology and microbiome research in poultry. Next, the systemic effects of the microbiome on health in the context of the interplay between the intestinal microbiota and the immune system were presented. Because the microbiome and the host communicate and influence each other, the novel field of kinomics (the study of protein phosphorylation) as used in the study of the poultry microbiome was discussed. Protein phosphorylation is a rapid response to the complex of signals among the microbiome, intestinal lumen metabolites, and the host. Then, a description of why an understanding of the role of microbial endocrinology in poultry production can lead to new understanding of the mechanisms by which the gut microbiota and the host can interact in defined mechanisms that ultimately determine health, pathogenesis of infectious disease, and behavior was given. Finally, a view forward was presented underscoring the importance of understanding mechanisms in microbiomes in other organ systems and other species. Additionally, the importance of the development of new -omics platforms and data management tools to more completely understand host microbiomes was stressed.
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Affiliation(s)
- Margie D Lee
- Biomedical Sciences and Pathobiology, Virginia Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, USA
| | | | - Ryan J Arsenault
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, USA 19716
| | - Mark Lyte
- Department of Veterinary Microbiology and Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Joshua M Lyte
- Poultry Production and Product Safety Research Unit, Agricultural Research Service, United States Department of Agriculture, Fayetteville, AR 72701, USA
| | | | - Roselina Angel
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD 20742, USA
| | - Douglas R Korver
- Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, AB, Canada T6G 2P5.
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123
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Rasmussen JA, Villumsen KR, Ernst M, Hansen M, Forberg T, Gopalakrishnan S, Gilbert MTP, Bojesen AM, Kristiansen K, Limborg MT. A multi-omics approach unravels metagenomic and metabolic alterations of a probiotic and synbiotic additive in rainbow trout (Oncorhynchus mykiss). MICROBIOME 2022; 10:21. [PMID: 35094708 PMCID: PMC8802455 DOI: 10.1186/s40168-021-01221-8] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 12/27/2021] [Indexed: 05/02/2023]
Abstract
BACKGROUND Animal protein production is increasingly looking towards microbiome-associated services such as the design of new and better probiotic solutions to further improve gut health and production sustainability. Here, we investigate the functional effects of bacteria-based pro- and synbiotic feed additives on microbiome-associated functions in relation to growth performance in the commercially important rainbow trout (Oncorhynchus mykiss). We combine complementary insights from multiple omics datasets from gut content samples, including 16S bacterial profiling, whole metagenomes, and untargeted metabolomics, to investigate bacterial metagenome-assembled genomes (MAGs) and their molecular interactions with host metabolism. RESULTS Our findings reveal that (I) feed additives changed the microbiome and that rainbow trout reared with feed additives had a significantly reduced relative abundance of the salmonid related Candidatus Mycoplasma salmoninae in both the mid and distal gut content, (II) genome resolved metagenomics revealed that alterations of microbial arginine biosynthesis and terpenoid backbone synthesis pathways were directly associated with the presence of Candidatus Mycoplasma salmoninae, and (III) differences in the composition of intestinal microbiota among feed types were directly associated with significant changes of the metabolomic landscape, including lipids and lipid-like metabolites, amino acids, bile acids, and steroid-related metabolites. CONCLUSION Our results demonstrate how the use of multi-omics to investigate complex host-microbiome interactions enable us to better evaluate the functional potential of probiotics compared to studies that only measure overall growth performance or that only characterise the microbial composition in intestinal environments. Video Abstract.
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Affiliation(s)
- Jacob Agerbo Rasmussen
- Laboratory of Genomics and Molecular Medicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
- Center for Evolutionary Hologenomics, GLOBE Institute, Faculty of Health and Medical Sciences, Copenhagen, Denmark.
| | - Kasper Rømer Villumsen
- Department of Veterinary and Animal Sciences, University of Copenhagen, Veterinary Clinical Microbiology, Copenhagen, Denmark
| | - Madeleine Ernst
- Section for Clinical Mass Spectrometry, Danish Center for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, 2300, Copenhagen, Denmark
| | - Martin Hansen
- Department of Environmental Science, Aarhus University, Aarhus, Denmark
| | | | - Shyam Gopalakrishnan
- Center for Evolutionary Hologenomics, GLOBE Institute, Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, GLOBE Institute, Faculty of Health and Medical Sciences, Copenhagen, Denmark
- University Museum NTNU, Trondheim, Norway
| | - Anders Miki Bojesen
- Department of Veterinary and Animal Sciences, University of Copenhagen, Veterinary Clinical Microbiology, Copenhagen, Denmark
| | - Karsten Kristiansen
- Laboratory of Genomics and Molecular Medicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Institute of Metagenomics, Qingdao-Europe Advanced Institute for Life Sciences, Qingdao, China
| | - Morten Tønsberg Limborg
- Laboratory of Genomics and Molecular Medicine, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
- Center for Evolutionary Hologenomics, GLOBE Institute, Faculty of Health and Medical Sciences, Copenhagen, Denmark.
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124
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Zhang Y, Wang Z, Dong Y, Cao J, Chen Y. Blue Light Alters the Composition of the Jejunal Microbiota and Promotes the Development of the Small Intestine by Reducing Oxidative Stress. Antioxidants (Basel) 2022; 11:274. [PMID: 35204158 PMCID: PMC8868333 DOI: 10.3390/antiox11020274] [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: 12/28/2021] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 02/06/2023] Open
Abstract
Environmental light has an important impact on the growth, development and oxidative stress of chicks. Thus, we investigated the effects of colored lights on microbes and explored the molecular mechanism by which external color light information alters the gut microbiota and induces the cell response in vivo. We raised 96 chicks under 400-700 nm white (WL), 660 nm red (RL), 560 nm green (GL) or 480 nm blue light (BL) for 42 days. We used 16S rRNA high-throughput pyrosequencing and gas chromatography to explore the effect of different monochromatic lights on the jejunal microbiota. We used qRT-PCR, western blotting, immunohistochemistry and Elisa to determine the effect of different monochromatic lights on small intestine development and oxidative stress levels. With consistency in the upregulation of antioxidant enzyme ability and anti-inflammatory cytokine level, the 16S rRNA and gas chromatography results showed that BL significantly increased the diversity and richness of the jejunal microbiota and improved the relative abundances of Faecalibacterium, Ruminiclostridium_9 and metabolite butyrate content compared with WL, RL and GL (p < 0.05). In addition, we observed that BL increased the goblet cell numbers, PCNA cell numbers, villus-length-to-crypt-depth (V/C) ratios, ZO-1, Occludin, and Claudin-1 protein expression; decreased permeability; and enhanced the digestion and absorption capacity in the jejunum (p < 0.05). In the in vitro experiment, we found that butyrate promoted chick small intestinal epithelial cell (CIEC) proliferation and inhibited apoptosis (p < 0.05). These responses were abrogated by the Gi inhibitor, PI3K inhibitor or AKT inhibitor, but were mimicked by GPR43 agonists or the GSK-3β inhibitor (p < 0.05). Overall, these findings suggested that BL increased the relative abundance of Faecalibacterium, Ruminiclostridium_9 and butyrate production. Butyrate may act as one of the signals to mediate blue-light-induced small intestinal development and mucosal barrier integrity enhancement and promote cell proliferation via the GPR43/Gi/PI3K/AKT/p-GSK-3β/β-catenin pathway.
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Affiliation(s)
| | | | | | | | - Yaoxing Chen
- Laboratory of Anatomy of Domestic Animals, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China; (Y.Z.); (Z.W.); (Y.D.); (J.C.)
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125
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Qiao J, Shang Z, Liu X, Wang K, Wu Z, Wei Q, Li H. Regulatory Effects of Combined Dietary Supplementation With Essential Oils and Organic Acids on Microbial Communities of Cobb Broilers. Front Microbiol 2022; 12:814626. [PMID: 35046927 PMCID: PMC8761947 DOI: 10.3389/fmicb.2021.814626] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Accepted: 12/09/2021] [Indexed: 12/12/2022] Open
Abstract
The emergence and spread of antibiotic resistance genes in pathogenic microorganisms have resulted in many countries restricting the use of antibiotics as growth promoters in animal feed. The combined use of essential oils and organic acids can help maintain intestinal health, improve animal growth performance, and alleviate the negative effects of banned antibiotics for certain economically important animals. Although the modes of action for the combined dietary supplementation of essential oils and organic acids such as thymol-citric acid (EOA1) and thymol-butyric acid (EOA2) remain unclear, it is speculated that their activities are achieved through beneficial modulation of gastrointestinal microbial communities and inhibition of pathogen growth. In this study, 16S rDNA amplicon sequencing was used to analyze the effects of treatment with EOA1 and EOA2 on the jejunal, cecal, and fecal microbial communities of Cobb broilers while also evaluating effects over different broiler ages. The intestinal microbial communities of broilers developed with increasing age, and Lactobacillus gradually came to dominate the intestinal communities of treated broilers. Further, the microbial communities of feces were more complex than those of the jejuna and ceca. We systematically elucidate that the longitudinal changes in the intestinal microbial communities of Cobb broiler chickens at different ages. Meanwhile, we found that the addition of EOA1 or EOA2 to the diet: (1) inhibited the proliferation of Ralstonia pickettii and Alcaligenaceae in the jejuna on day 28, (2) promoted the colonization and growth of beneficial bacteria such as Lactobacillus, Clostridia, and Bacteroidia at various growth stages, and (3) enriched the abundance of certain microbiota functions, including biological pathways related to metabolism (e.g., enzyme families). Taken together, the results of this study demonstrate that EOA1 and EOA2 dietary supplementation can affect various microbial metabolic pathways related to the metabolism and absorption of nutrients via regulation of the intestinal microbial community structures of Cobb broilers.
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Affiliation(s)
- Jiayun Qiao
- Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences, Tianjin Normal University, Tianjin, China
| | - Zhiyuan Shang
- Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences, Tianjin Normal University, Tianjin, China
| | - Xuejiao Liu
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
| | - Kewei Wang
- Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences, Tianjin Normal University, Tianjin, China
| | - Zhiwei Wu
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
| | - Qing Wei
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
| | - Haihua Li
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, China
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126
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Liu T, Gou Y, Zhang B, Gao R, Dong C, Qi M, Jiang L, Ding X, Li C, Lian J. Construction of Ajmalicine and Sanguinarine
de novo
Biosynthetic Pathways using Stable Integration Sites in Yeast. Biotechnol Bioeng 2022; 119:1314-1326. [DOI: 10.1002/bit.28040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/22/2021] [Accepted: 01/02/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Tengfei Liu
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University Hangzhou 310027 China
| | - Yuanwei Gou
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University Hangzhou 310027 China
- Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University Hangzhou 310027 China
| | - Bei Zhang
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University Hangzhou 310027 China
| | - Rui Gao
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University Hangzhou 310027 China
- Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University Hangzhou 310027 China
| | - Chang Dong
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University Hangzhou 310027 China
- Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University Hangzhou 310027 China
| | - Mingming Qi
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University Hangzhou 310027 China
| | - Lihong Jiang
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University Hangzhou 310027 China
| | - Xuanwei Ding
- Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Ministry of Industry and Information Technology, Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology Beijing 100081 China
| | - Chun Li
- Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Ministry of Industry and Information Technology, Institute of Biochemical Engineering, School of Chemistry and Chemical Engineering, Beijing Institute of Technology Beijing 100081 China
| | - Jiazhang Lian
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University Hangzhou 310027 China
- Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University Hangzhou 310027 China
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127
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Chemically Protected Sodium Butyrate Improves Growth Performance and Early Development and Function of Small Intestine in Broilers as One Effective Substitute for Antibiotics. Antibiotics (Basel) 2022; 11:antibiotics11020132. [PMID: 35203735 PMCID: PMC8868412 DOI: 10.3390/antibiotics11020132] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 01/07/2022] [Accepted: 01/12/2022] [Indexed: 01/14/2023] Open
Abstract
The purpose of this study was to investigate the effects of chemically protected sodium butyrate (CSB) on growth performance and the early development and function of small intestine in broilers as one potential substitute for antibiotics. A total of 192 one-day-old Arbor Acres male broilers were randomly assigned into three dietary treatment groups (eight replicates per treatment): the control (CON) diet; ANT diet, CON diet supplemented with the antibiotics (enramycin, 8 mg/kg and aureomycin, 100 mg/kg); CSB diet, CON diet supplemented with 1000 mg/kg CSB, respectively. The results showed that dietary CSB and antibiotics addition significantly improved the growth performance of broilers by increasing the body weight gain (BWG) and feed conversion ratio (FCR) during different stages (p < 0.05). On day 21, the supplement of CSB in diet improved the structure of small intestine (duodenum, jejunum, and ileum) in broilers by increasing the ratio of villus height to crypt depth (VH/CD) (p < 0.05) and enhanced the butyric acid (BA) (p < 0.05) and total short chain fatty acids (SCFA) concentrations of small intestine (jejunum and ileum) compared with the CON and ANT diets. Besides that, the superoxide dismutase (SOD), total antioxidant capacity (TAC) and TAC to malondialdehyde (TAC/MDA) ratio of the ileal and jejunal mucosa were significantly higher (p < 0.05) in the CSB and ANT than in the CON. In addition, the supplement of CSB in diet markedly significantly enhanced α-amylase, lipase, and trypsin activities of the ileum (p < 0.05) as compared to the ANT diet. 16S rRNA gene sequencing indicated that CSB markedly increased the microbiota diversity of ileum in broilers at 21 days of age as compared to CON and ANT (p < 0.05). Furthermore, we found that Firmicutes was the predominant phyla and Lactobacillus was the major genus in the ileum of broilers. Compared with the ANT diet, the supplement of CSB in diet increased the relative abundance of some genera microbiota (e.g., Candidatus_Arthromitus, Romboutsia) by decreasing the relative abundance of Lactobacillus. Moreover, Akkermansia in the CSB was the highest in comparison to that in the CON and ANT. In addition, Kitasatospora that belongs to the phylum Actinobacteriota was only found in ileum of broilers fed the ANT diet. In summary, the supplement of 1000 mg/kg CSB in the diet improved the growth performance by promoting early development and function of the small intestine, which is associated with the regulation of intestinal flora and reestablishment of micro-ecological balance in broilers. Thus, CSB has great potential value as one of effective substitutes for in-feed antibiotics in the broiler industry.
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128
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Integrating Network Pharmacology and Molecular Docking to Analyse the Potential Mechanism of action of Macleaya cordata (Willd.) R. Br. in the Treatment of Bovine Hoof Disease. Vet Sci 2021; 9:vetsci9010011. [PMID: 35051095 PMCID: PMC8779036 DOI: 10.3390/vetsci9010011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/18/2021] [Accepted: 12/24/2021] [Indexed: 12/13/2022] Open
Abstract
Based on network pharmacological analysis and molecular docking techniques, the main components of M. cordata for the treatment of bovine relevant active compounds in M. cordata were searched for through previous research bases and literature databases, and then screened to identify candidate compounds based on physicochemical properties, pharmacokinetic parameters, bioavailability, and drug-like criteria. Target genes associated with hoof disease were obtained from the GeneCards database. Compound−target, compound−target−pathway−disease visualization networks, and protein−protein interaction (PPI) networks were constructed by Cytoscape. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed in R language. Molecular docking analysis was done using AutoDockTools. The visual network analysis showed that four active compounds, sanguinarine, chelerythrine, allocryptopine and protopine, were associated with the 10 target genes/proteins (SRC, MAPK3, MTOR, ESR1, PIK3CA, BCL2L1, JAK2, GSK3B, MAPK1, and AR) obtained from the screen. The enrichment analysis indicated that the cAMP, PI3K-Akt, and ErbB signaling pathways may be key signaling pathways in network pharmacology. The molecular docking results showed that sanguinarine, chelerythrine, allocryptopine, and protopine bound well to MAPK3 and JAK2. A comprehensive bioinformatics-based network topology strategy and molecular docking study has elucidated the multi-component synergistic mechanism of action of M. cordata in the treatment of bovine hoof disease, offering the possibility of developing M. cordata as a new source of drugs for hoof disease treatment.
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Wang J, Chen X, Li J, Ishfaq M. Gut Microbiota Dysbiosis Aggravates Mycoplasma gallisepticum Colonization in the Chicken Lung. Front Vet Sci 2021; 8:788811. [PMID: 34917672 PMCID: PMC8669392 DOI: 10.3389/fvets.2021.788811] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 10/28/2021] [Indexed: 12/26/2022] Open
Abstract
Mycoplasma gallisepticum (MG) is the pathogen that causes chronic respiratory diseases in chickens. Gut microbiota plays an important role in maintaining body health and resisting respiratory infection, but the correlation between gut microbiota and MG infection is poorly defined. Therefore, in this study, the correlation between gut microbiota and MG infection was explored by disturbing gut microbiota in chickens with antibiotic cocktail. The results showed that the gut microbiota dysbiosis impairs pulmonary immune response against MG infection. It has been noted that MG colonization in the lung was significantly increased following gut microbiota dysbiosis, and this could be reversed by intranasally administrated toll-like receptor 2 (TLR2) ligand, recombinant chicken IL-17 protein or recombinant chicken granulocyte-macrophage colony-stimulating factor (GM-CSF) protein. In addition, the levels of short-chain fatty acids (SCFAs) and vitamin A were significantly reduced in gut microbiota dysbiosis group, however, butyric acid or vitamin A as feed additives promoted MG clearance in the lung of gut microbiota dysbiosis group via increasing TLR2/IL17/GM-CSF and host defense peptides genes expression. The present study revealed an important role of gut microbiota in the defense against MG colonization in the lung of chicken.
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Affiliation(s)
- Jian Wang
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Xueping Chen
- College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China
| | - Jichang Li
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Muhammad Ishfaq
- College of Computer Science, Huanggang Normal University, Huanggang, China
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130
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Feng Y, Wang Y, Zhu B, Gao GF, Guo Y, Hu Y. Metagenome-assembled genomes and gene catalog from the chicken gut microbiome aid in deciphering antibiotic resistomes. Commun Biol 2021; 4:1305. [PMID: 34795385 PMCID: PMC8602611 DOI: 10.1038/s42003-021-02827-2] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 11/01/2021] [Indexed: 02/06/2023] Open
Abstract
Gut microbial reference genomes and gene catalogs are necessary for understanding the chicken gut microbiome. Here, we assembled 12,339 microbial genomes and constructed a gene catalog consisting of ~16.6 million genes by integrating 799 public chicken gut microbiome samples from ten countries. We found that 893 and 38 metagenome-assembled genomes (MAGs) in our dataset were putative novel species and genera, respectively. In the chicken gut, Lactobacillus aviarius and Lactobacillus crispatus were the most common lactic acid bacteria, and glycoside hydrolases were the most abundant carbohydrate-active enzymes (CAZymes). Antibiotic resistome profiling results indicated that Chinese chicken samples harbored a higher relative abundance but less diversity of antimicrobial resistance genes (ARGs) than European samples. We also proposed the effects of geography and host species on the gut resistome. Our study provides the largest integrated metagenomic dataset from the chicken gut to date and demonstrates its value in exploring chicken gut microbial genes. Feng et al. include genome recovery and data analysis of large number of chicken gut metagenomic datasets which significantly expands the reference genomes available from the chicken gut microbial communities, and catalog the genes prevalent in the gut systems. They further depict the countryspecific chicken gut antibiotic resistomes and the effects of geography and host species on the gut resistome.
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Affiliation(s)
- Yuqing Feng
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China
| | - Yanan Wang
- College of Veterinary Medicine, Henan Agricultural University, 450046, Zhengzhou, Henan, China
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, 100101, Beijing, China
| | - George Fu Gao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, 100101, Beijing, China
| | - Yuming Guo
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China
| | - Yongfei Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, 100193, Beijing, China.
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Modulation of intestinal morphology and microbiota by dietary Macleaya cordata extract supplementation in Xuefeng Black-boned Chicken. Animal 2021; 15:100399. [PMID: 34768172 DOI: 10.1016/j.animal.2021.100399] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 09/29/2021] [Accepted: 10/04/2021] [Indexed: 12/15/2022] Open
Abstract
Antibiotics are commonly overused to prevent livestock from diseases and to increase production performance. As potential substitutes of antibiotics, plant extracts have attracted the attention of researchers. It was known to all that addition of Macleaya cordata extract (MCE) to the food could advance immunity, intestinal health and animal performance. Thus, it was conducted to investigate the influence of MCE (0, 100, 150 and 200 mg/kg, with six replicate pens/treatment and 24 hens/pen) on intestinal morphology and microbial diversity in different intestinal segments in Xuefeng black-boned chicken in this study. The results showed that MCE supplement (100, 150 and 200 mg/kg) significantly diminished (P < 0.05) the crypt depth of the jejunum as compared to basal diet group. The 100 mg/kg group displayed a marked increase (P < 0.05), compared with 0 and 200 mg/kg group, in ileum microbial diversity as represented by the Shannon's index. In the cecum, treatment of MCE significantly decreased (P < 0.01) the Firmicutes, but Deferribacteres in 200 mg/kg MCE group were significantly raised (P < 0.05). In conclusion, we found that MCE improved intestinal morphology and reduced the crypt depth in jejunum. Together, addition of 200 mg/kg MCE modulated intestinal microbiota, increased beneficial bacteria such as Lactobacillus. Adding 100 mg/kg MCE to diet increased bacterial community diversity and relative abundance in jejunum and ileum, but had no effect on cecum microbial diversity.
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132
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Xu L, Sun X, Wan X, Li K, Jian F, Li W, Jiang R, Han R, Li H, Kang X, Wang Y. Dietary supplementation with Clostridium butyricum improves growth performance of broilers by regulating intestinal microbiota and mucosal epithelial cells. ACTA ACUST UNITED AC 2021; 7:1105-1114. [PMID: 34738041 PMCID: PMC8551407 DOI: 10.1016/j.aninu.2021.01.009] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 01/11/2021] [Accepted: 01/17/2021] [Indexed: 12/14/2022]
Abstract
Clostridium butyricum has been widely considered an antibiotic substitute in recent years. It can promote growth performance, improve the immune response and enhance the intestinal barrier function of the host. In the present study, 1-d-old Arbor Acres (AA) broilers were fed C. butyricum (1 × 109 cfu/kg) for 28 d. The transcriptomic characteristics of epithelial cells of the cecal mucosa were determined by RNA-sequence, and the cecal microbiota composition was explored by 16S ribosomal RNA gene sequencing. The changes in the intestinal mucosa of broilers were then analyzed by tissue staining. Gene Ontology (GO) annotations identified substance transport and processes and pathways that might participate in intestinal development and cell viability. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that the differentially expressed genes are involved in numerous pathways related to amino acid and vitamin metabolism and antioxidant and defensive functions, among others. The relative expression of some genes associated with intestinal barrier function (claudins 2, 15, 19, and 23, tight junction proteins 1, 2, and 3 and mucin 1) was significantly increased in the treatment group (P < 0.05 or P < 0.01). Moreover, the proportion of Firmicutes was higher in the C. butyricum-treated group, whereas the proportion of Proteobacteria was higher in the control group. At the genus level, the relative abundances of Butyricicoccus and Lactobacillus, among other bacteria, were increased after C. butyricum supplementation. The tissue staining analysis showed that the cecal mucosa of broilers was significantly ameliorated after the addition of C. butyricum (P < 0.05 or P < 0.01). These results showed that dietary supplementation with C. butyricum can enhance the antioxidant capacity, mucosal barrier function, and stabilize the cecal microbiota, resulting in improving the growth performance.
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Affiliation(s)
- Laipeng Xu
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Xiangli Sun
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China
| | - Xianhua Wan
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Keke Li
- Henan Jinbaihe Biotechnology Co., Ltd, Anyang, 455000, China
| | - Fuchun Jian
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China
| | - Wenting Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Research Center of Germplasm Resources for Poultry, Zhengzhou, 450046, China
| | - Ruirui Jiang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Research Center of Germplasm Resources for Poultry, Zhengzhou, 450046, China
| | - Ruili Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Research Center of Germplasm Resources for Poultry, Zhengzhou, 450046, China
| | - Hong Li
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Research Center of Germplasm Resources for Poultry, Zhengzhou, 450046, China
| | - Xiangtao Kang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Research Center of Germplasm Resources for Poultry, Zhengzhou, 450046, China
| | - Yanbin Wang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450046, China.,Henan Research Center of Germplasm Resources for Poultry, Zhengzhou, 450046, China
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He C, Wu H, Lv Y, You H, Zha L, Li Q, Huang Y, Tian J, Chen Q, Shen Y, Xiong S, Xue F. Gastrointestinal Development and Microbiota Responses of Geese to Honeycomb Flavonoids Supplementation. Front Vet Sci 2021; 8:739237. [PMID: 34733903 PMCID: PMC8558617 DOI: 10.3389/fvets.2021.739237] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 08/24/2021] [Indexed: 12/18/2022] Open
Abstract
Background: Geese are conventionally considered to be herbivorous, which could also be raised with concentrate feeding diets without green grass because of the similar gastrointestinal tract with other poultry. However, the geese gut microbiota profiles and their interactions with epithelial cells are still of limited study. Flavonoids were well-documented to shape gut microbiota and promote epithelial barrier functions individually or cooperatively with other metabolites. Therefore, in the present study, honeycomb flavonoids (HF) were supplemented to investigate the effects on growth performances, intestinal development, and gut microbiome of geese. Material and Methods: A total of 400 1-day-old male lion-head geese with similar birth weight (82.6 ± 1.4 g) were randomly divided into five treatments: the control treatment (CON) and the HF supplementation treatments, HF was supplemented arithmetically to increase from 0.25 to 1%. Growth performance, carcass performances, and intestines' development parameters were measured to determine the optimum supplement. Junction proteins including ZO-1 and ZO-2 and cecal microbiota were investigated to demonstrate the regulatory effects of HF on both microbiota and intestinal epithelium. Results: Results showed that 0.5% of HF supplement had superior growth performance, carcass performance, and the total parameters of gastrointestinal development to other treatments. Further research showed that tight junction proteins including ZO-1 and ZO-2 significantly up-regulated, while Firmicutes and some probiotics including Clostridiales, Streptococcus, Lachnoclostridium, and Bifidobacterium, remarkably proliferated after HF supplement. In conclusion, HF supplement in concentrate-diet feeding geese effectively increased the growth performances by regulating the gut microbiota to increase the probiotic abundance to promote the nutrient digestibility and fortify the epithelial development and barrier functions to facilitate the nutrient absorption and utilization.
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Affiliation(s)
- Chenxin He
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China
| | - Huadong Wu
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China
| | - Yaning Lv
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China
| | - Hongnan You
- School of Foreign Language, Jiangxi Agricultural University, Nanchang, China
| | - Liqing Zha
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China
| | - Qin Li
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China
| | - Yani Huang
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China
| | - Jinghong Tian
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China
| | - Qiuchun Chen
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China
| | - Yiwen Shen
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China
| | - Shiyuan Xiong
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China
| | - Fuguang Xue
- Nanchang Key Laboratory of Animal Health and Safety Production, Jiangxi Agricultural University, Nanchang, China.,Jiangxi Province Key Laboratory of Animal Nutrition/Engineering Research Center of Feed Development, Jiangxi Agricultural University, Nanchang, China
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134
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Abstract
Conservation research has historically been conducted at the macro level, focusing on animals and plants and their role in the wider ecosystem. However, there is a growing appreciation of the importance of microbial communities in conservation. Most microbiome research in conservation thus far has used amplicon sequencing methods to assess the taxonomic composition of microbial communities and inferred functional capabilities from these data. However, as manipulation of the microbiome as a conservation tool becomes more and more feasible, there is a growing need to understand the direct functional consequences of shifts in microbiome composition. This review outlines the latest advances in microbiome research from a functional perspective and how these data can be used to inform conservation strategies. This review will also consider some of the challenges faced when studying the microbiomes of wild animals and how they can be overcome by careful study design and sampling methods. Environmental changes brought about by climate change or direct human actions have the potential to alter the taxonomic composition of microbiomes in wild populations. Understanding how taxonomic shifts affect the function of microbial communities is important for identifying species most threatened by potential disruption to their microbiome. Preservation or even restoration of these functions has the potential to be a powerful tool in conservation biology and a shift towards functional characterisation of gut microbiome diversity will be an important first step.
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135
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Ma JE, Xiong XW, Xu JG, Gong JS, Li J, Xu Q, Li YF, Yang YB, Zhou M, Zhu XN, Tan YW, Sheng WT, Wang ZF, Tu XT, Zeng CY, Zhang XQ, Rao YS. Metagenomic Analysis Identifies Sex-Related Cecal Microbial Gene Functions and Bacterial Taxa in the Quail. Front Vet Sci 2021; 8:693755. [PMID: 34660751 PMCID: PMC8517240 DOI: 10.3389/fvets.2021.693755] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 09/06/2021] [Indexed: 12/15/2022] Open
Abstract
Background: Japanese quail (Coturnix japonica) are important and widely distributed poultry in China. Researchers continue to pursue genetic selection for heavier quail. The intestinal microbiota plays a substantial role in growth promotion; however, the mechanisms involved in growth promotion remain unclear. Results: We generated 107.3 Gb of cecal microbiome data from ten Japanese quail, providing a series of quail gut microbial gene catalogs (1.25 million genes). We identified a total of 606 main microbial species from 1,033,311 annotated genes distributed among the ten quail. Seventeen microbial species from the genera Anaerobiospirillum, Alistipes, Barnesiella, and Butyricimonas differed significantly in their abundances between the female and male gut microbiotas. Most of the functional gut microbial genes were involved in metabolism, primarily in carbohydrate transport and metabolism, as well as some active carbohydrate-degrading enzymes. We also identified 308 antibiotic-resistance genes (ARGs) from the phyla Bacteroidetes, Firmicutes and Euryarchaeota. Studies of the differential gene functions between sexes indicated that abundances of the gut microbes that produce carbohydrate-active enzymes varied between female and male quail. Bacteroidetes was the predominant ARG-containing phylum in female quail; Euryarchaeota was the predominant ARG-containing phylum in male quail. Conclusion: This article provides the first description of the gene catalog of the cecal bacteria in Japanese quail as well as insights into the bacterial taxa and predictive metagenomic functions between male and female quail to provide a better understanding of the microbial genes in the quail ceca.
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Affiliation(s)
- Jing-E Ma
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Xin-Wei Xiong
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Ji-Guo Xu
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Ji-Shang Gong
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Jin Li
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China
| | - Qiao Xu
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Yuan-Fei Li
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Yang-Bei Yang
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Min Zhou
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Xue-Nong Zhu
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Yu-Wen Tan
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Wen-Tao Sheng
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Zhang-Feng Wang
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Xu-Tang Tu
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Cheng-Yao Zeng
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
| | - Xi-Quan Zhang
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, Guangzhou, China.,Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou, China
| | - You-Sheng Rao
- Institution of Biological Technology, Nanchang Normal University, Nanchang, China.,Jiang Xi Province Key Lab of Genetic Improvement of Indigenous Chicken Breeds, Nanchang, China
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EFSA Panel on Biological Hazards (BIOHAZ), Koutsoumanis K, Allende A, Alvarez‐Ordóñez A, Bolton D, Bover‐Cid S, Chemaly M, Davies R, De Cesare A, Herman L, Hilbert F, Lindqvist R, Nauta M, Ru G, Simmons M, Skandamis P, Suffredini E, Andersson DI, Bampidis V, Bengtsson‐Palme J, Bouchard D, Ferran A, Kouba M, López Puente S, López‐Alonso M, Nielsen SS, Pechová A, Petkova M, Girault S, Broglia A, Guerra B, Innocenti ML, Liébana E, López‐Gálvez G, Manini P, Stella P, Peixe L. Maximum levels of cross-contamination for 24 antimicrobial active substances in non-target feed. Part 12: Tetracyclines: tetracycline, chlortetracycline, oxytetracycline, and doxycycline. EFSA J 2021; 19:e06864. [PMID: 34729092 PMCID: PMC8546800 DOI: 10.2903/j.efsa.2021.6864] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The specific concentrations of tetracycline, chlortetracycline, oxytetracycline and doxycycline in non-target feed for food-producing animals, below which there would not be an effect on the emergence of, and/or selection for, resistance in bacteria relevant for human and animal health, as well as the specific antimicrobial concentrations in feed which have an effect in terms of growth promotion/increased yield were assessed by EFSA in collaboration with EMA. Details of the methodology used for this assessment, associated data gaps and uncertainties are presented in a separate document. To address antimicrobial resistance, the Feed Antimicrobial Resistance Selection Concentration (FARSC) model developed specifically for the assessment was applied. The FARSC for these four tetracyclines was estimated. To address growth promotion, data from scientific publications obtained from an extensive literature review were used. Levels in feed that showed to have an effect on growth promotion/increased yield were reported for tetracycline, chlortetracycline, oxytetracycline, whilst for doxycycline no suitable data for the assessment were available. Uncertainties and data gaps associated with the levels reported were addressed. It was recommended to perform further studies to supply more diverse and complete data related to the requirements for calculation of the FARSC for these antimicrobials.
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137
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Quinteros JA, Scott PC, Wilson TB, Anwar AM, Scott T, Muralidharan C, Van TTH, Moore RJ. Isoquinoline alkaloids induce partial protection of laying hens from the impact of Campylobacter hepaticus (spotty liver disease) challenge. Poult Sci 2021; 100:101423. [PMID: 34534853 PMCID: PMC8449056 DOI: 10.1016/j.psj.2021.101423] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/03/2021] [Accepted: 08/03/2021] [Indexed: 12/26/2022] Open
Abstract
Spotty liver disease (SLD) is a serious condition affecting extensively housed laying hens. The causative bacterium was described in 2015 and characterized in 2016 and named Campylobacter hepaticus. Antibiotics are the only tool currently available to combat SLD. However, antimicrobial resistance has already been detected, so finding therapeutic alternatives is imperative. Isoquinoline alkaloids (IQA), such as sanguinarine and chelerythrine, have been shown to have immunomodulatory effects. It has been hypothesized that IQA could ameliorate some of the deleterious effects of SLD. This study aimed to address that hypothesis in an experimental disease induction model. Birds were fed with diets containing 2 different doses of an IQA containing product, 100 mg of product/kg of feed (0.5 ppm of sanguinarine) and 200 mg of product/kg of feed (1.0 ppm of sanguinarine). Two additional groups remained untreated (a challenged positive control and an unchallenged negative control). After 4 wk of treatment, birds from all groups except the negative control group were exposed to C. hepaticus strain HV10. The IQA treated groups showed a reduction in the number of miliary lesions on the liver surface and reduced lesion scores compared with untreated hens. A significant reduction of egg mass was detected 6 d after exposure to C. hepaticus in the untreated group (P = 0.02). However, there was not a significant drop in egg-mass in the IQA groups, especially those fed with a high dose of IQA (P = 0.93). IQA supplementation did not produce significant changes in intestinal villus height and crypt depth but did result in a significant reduction in the proinflammatory cytokine, interleukin-8, in the blood (P < 0.01). Microbiota analysis showed that IQA treatment did not alter the alpha diversity of the cecal microbiota but did produce changes in the phylogenetic structure, with the higher dose of IQA increasing the Firmicutes/Bacteroidetes ratio. Other minor changes in production indicators included an increase in feed consumption (P < 0.01) and an increase in body weight of the treated hens (P < 0.0001). The present study has demonstrated that IQA confers some protection of chickens from the impact of SLD.
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Affiliation(s)
| | | | | | - Arif M Anwar
- Scolexia Pty Ltd, Moonee Ponds, VIC 3039, Australia
| | - Tyrone Scott
- Scolexia Pty Ltd, Moonee Ponds, VIC 3039, Australia
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Segura-Wang M, Grabner N, Koestelbauer A, Klose V, Ghanbari M. Genome-Resolved Metagenomics of the Chicken Gut Microbiome. Front Microbiol 2021; 12:726923. [PMID: 34484168 PMCID: PMC8415551 DOI: 10.3389/fmicb.2021.726923] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 07/29/2021] [Indexed: 01/30/2023] Open
Abstract
Increasing evidence shows that the chicken gastrointestinal microbiota has a major effect on the modulation of metabolic functions and is correlated with economic parameters, such as feed efficiency and health. Some of these effects derive from the capacity of the chicken to digest carbohydrates and produce energy-rich metabolites such as short-chain fatty acids (SCFA) and from host-microbe interactions. In this study, we utilized information from metagenomic assembled genomes (MAGs) from chicken gastrointestinal tract (GIT) samples, with detailed annotation of carbohydrate-active enzymes (CAZymes) and genes involved in SCFA production, to better understand metabolic potential at different ages. Metagenomic sequencing of 751 chicken GIT samples was performed to reconstruct 155 MAGs, representing species which belong to six phyla, primarily Firmicutes followed by Proteobacteria. MAG diversity significantly (p < 0.001) increased with age, with early domination of Lachnospiraceae, followed by other families including Oscillospiraceae. Age-dependent shifts were observed in the abundance of genes involved in CAZyme and SCFA production, exemplified by a significant increase in glycosyltransferases (GTs) and propionic acid production pathways (p < 0.05), and a lower abundance of glycoside hydrolases (GHs) (p < 0.01). Co-occurrence analysis revealed a large cluster highly interconnected by enzymes from GT2_2 and GH3 families, underscoring their importance in the community. Furthermore, several species were identified as interaction hubs, elucidating associations of key microbes and enzymes that more likely drive temporal changes in the chicken gut microbiota, and providing further insights into the structure of the complex microbial community. This study extends prior efforts on the characterization of the chicken GIT microbiome at the taxonomic and functional levels and lays an important foundation toward better understanding the broiler chicken gut microbiome helping in the identification of modulation opportunities to increase animal health and performance.
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139
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Such N, Farkas V, Csitári G, Pál L, Márton A, Menyhárt L, Dublecz K. Relative Effects of Dietary Administration of a Competitive Exclusion Culture and a Synbiotic Product, Age and Sampling Site on Intestinal Microbiota Maturation in Broiler Chickens. Vet Sci 2021; 8:vetsci8090187. [PMID: 34564581 PMCID: PMC8472864 DOI: 10.3390/vetsci8090187] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 01/01/2023] Open
Abstract
In this research, the effects of early post-hatch inoculation of a competitive exclusion product (Br) and the continuous feeding of a synbiotic supplement (Sy) containing probiotic bacteria, yeast, and inulin on the production traits and composition of ileal chymus (IC), ileal mucosa (IM), and caecal chymus (CC) microbiota of broiler chickens were evaluated. The dietary treatments had no significant effects on the pattern of intestinal microbiota or production traits. The digestive tract bacteriota composition was affected mostly by the sampling place and age of birds. The dominant family of IC was Lactobacillaceae, without change with the age. The abundance of the two other major families, Enterococcaceae and Lachnospiraceae decreased with the age of birds. In the IM, Clostridiaceae was the main family in the first three weeks. Its ratio decreased later and Lactobacillaceae became the dominant family. In the CC, Ruminococcaceae and Lachnospiraceae were the main families with decreasing tendency in the age. In IC, Br treatment decreased the abundance of genus Lactobacillus, and both Br and Sy increased the ratio of Enterococcus at day 7. In all gut segments, a negative correlation was found between the IBD antibody titer levels and the ratio of genus Leuconostoc in the first three weeks, and a positive correlation was found in the case of Bifidobacterium, Rombutsia, and Turicibacter between day 21 and 40.
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Affiliation(s)
- Nikoletta Such
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (N.S.); (V.F.); (G.C.); (L.P.); (A.M.)
| | - Valéria Farkas
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (N.S.); (V.F.); (G.C.); (L.P.); (A.M.)
| | - Gábor Csitári
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (N.S.); (V.F.); (G.C.); (L.P.); (A.M.)
| | - László Pál
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (N.S.); (V.F.); (G.C.); (L.P.); (A.M.)
| | - Aliz Márton
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (N.S.); (V.F.); (G.C.); (L.P.); (A.M.)
| | - László Menyhárt
- Institute of Technology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary;
| | - Károly Dublecz
- Institute of Physiology and Nutrition, Department of Animal Nutrition and Nutritional Physiology, Georgikon Campus, Deák Ferenc Street 16, Hungarian University of Agriculture and Life Sciences, 8360 Keszthely, Hungary; (N.S.); (V.F.); (G.C.); (L.P.); (A.M.)
- Correspondence: ; Tel.: +36-30-6418597
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Mysara M, Berkell M, Xavier BB, De Backer S, Lammens C, Hautekiet V, Petkov S, Goossens H, Kumar-Singh S, Malhotra-Kumar S. Assessing the Impact of Flavophospholipol and Virginiamycin Supplementation on the Broiler Microbiota: a Prospective Controlled Intervention Study. mSystems 2021; 6:e0038121. [PMID: 34463581 DOI: 10.1128/msystems.00381-21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 08/02/2021] [Indexed: 12/13/2022] Open
Abstract
The antibiotic growth promoters (AGPs) flavophospholipol and virginiamycin have been widely used for decades in food animal production. AGP activity is believed to be partly modulated by gut microbial composition although exact AGP-induced changes remain unclear. In a controlled intervention study, we studied the effect of flavophospholipol and virginiamycin on the broiler chicken ileal microbiota spanning from birth to 39 days. Using 16S rRNA gene profiling and prediction of metabolic activity, we show that both AGPs result in dynamic microbial shifts that potentially increase anti-inflammatory mechanisms and bioavailability of several essential nutrients by decreasing degradation (flavophospholipol) or increasing biosynthesis (virginiamycin). Further, virginiamycin-supplemented broilers showed increased colonization with potentially pathogenic bacteria, Clostridium perfringens, Campylobacter, and Escherichia/Shigella spp. Overall, we show that both AGPs induce microbial changes potentially beneficial for growth. However, the increase in (foodborne) pathogens shown here with virginiamycin use could impact not only broiler mortality but also human health. IMPORTANCE Antibiotic growth promoters (AGPs) are commonly used within poultry farming to increase muscle growth. Microbial composition in the gut is known to be influenced by AGP use although exact AGP-induced changes remain unclear. Utilizing 16S rRNA gene profiling, this study provides a first head-to-head comparison of the effect of the two most commonly used AGPs, flavophospholipol and virginiamycin, on the broiler chicken ileum microbiota over time. We found that supplementation with both AGPs altered ileal microbial composition, thereby increasing potential bioavailability of essential nutrients and weight gain. Flavophospholipol showed a slight benefit over virginiamycin as the latter resulted in more extensive microbial perturbations including increased colonization by enteropathogens, which could impact broiler mortality.
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Affiliation(s)
- Mohamed Mysara
- Lab of Medical Microbiology, Faculty of Medicine and Health Sciences, Vaccine & Infectious Disease Institute, University of Antwerpgrid.5284.b, Antwerp, Belgium
- Microbiology Unit, Interdisciplinary Biosciences, Belgian Nuclear Research Centregrid.8953.7, SCK•CEN, Mol, Belgium
| | - Matilda Berkell
- Lab of Medical Microbiology, Faculty of Medicine and Health Sciences, Vaccine & Infectious Disease Institute, University of Antwerpgrid.5284.b, Antwerp, Belgium
- Molecular Pathology group, Cell Biology & Histology, Faculty of Medicine and Health Sciences, University of Antwerpgrid.5284.b, Antwerp, Belgium
| | - Basil Britto Xavier
- Lab of Medical Microbiology, Faculty of Medicine and Health Sciences, Vaccine & Infectious Disease Institute, University of Antwerpgrid.5284.b, Antwerp, Belgium
| | - Sarah De Backer
- Lab of Medical Microbiology, Faculty of Medicine and Health Sciences, Vaccine & Infectious Disease Institute, University of Antwerpgrid.5284.b, Antwerp, Belgium
| | - Christine Lammens
- Lab of Medical Microbiology, Faculty of Medicine and Health Sciences, Vaccine & Infectious Disease Institute, University of Antwerpgrid.5284.b, Antwerp, Belgium
| | | | | | - Herman Goossens
- Lab of Medical Microbiology, Faculty of Medicine and Health Sciences, Vaccine & Infectious Disease Institute, University of Antwerpgrid.5284.b, Antwerp, Belgium
| | - Samir Kumar-Singh
- Lab of Medical Microbiology, Faculty of Medicine and Health Sciences, Vaccine & Infectious Disease Institute, University of Antwerpgrid.5284.b, Antwerp, Belgium
- Molecular Pathology group, Cell Biology & Histology, Faculty of Medicine and Health Sciences, University of Antwerpgrid.5284.b, Antwerp, Belgium
| | - Surbhi Malhotra-Kumar
- Lab of Medical Microbiology, Faculty of Medicine and Health Sciences, Vaccine & Infectious Disease Institute, University of Antwerpgrid.5284.b, Antwerp, Belgium
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Gupta CL, Blum SE, Kattusamy K, Daniel T, Druyan S, Shapira R, Krifucks O, Zhu YG, Zhou XY, Su JQ, Cytryn E. Longitudinal study on the effects of growth-promoting and therapeutic antibiotics on the dynamics of chicken cloacal and litter microbiomes and resistomes. MICROBIOME 2021; 9:178. [PMID: 34454634 PMCID: PMC8403378 DOI: 10.1186/s40168-021-01136-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 07/20/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Therapeutic and growth-promoting antibiotics are frequently used in broiler production. Indirect evidence indicates that these practices are linked to the proliferation of antimicrobial resistance (AMR), the spread of antibiotic-resistant bacteria from food animals to humans, and the environment, but there is a lack of comprehensive experimental data supporting this. We investigated the effects of growth promotor (bacitracin) and therapeutic (enrofloxacin) antibiotic administration on AMR in broilers for the duration of a production cycle, using a holistic approach that integrated both culture-dependent and culture-independent methods. We specifically focused on pathogen-harboring families (Enterobacteriaceae, Enterococcaceae, and Staphylococcaceae). RESULTS Antibiotic-resistant bacteria and antibiotic resistance genes were ubiquitous in chicken cloaca and litter regardless of antibiotic administration. Environment (cloaca vs. litter) and growth stage were the primary drivers of variation in the microbiomes and resistomes, with increased bacterial diversity and a general decrease in abundance of the pathogen-harboring families with age. Bacitracin-fed groups had higher levels of bacitracin resistance genes and of vancomycin-resistant Enterococcaceae (total Enterococcaceae counts were not higher). Although metagenomic analyses classified 28-76% of the Enterococcaceae as the commensal human pathogens E. faecalis and E. faecium, culture-based analysis suggested that approximately 98% of the vancomycin-resistant Enterococcaceae were avian and not human-associated, suggesting differences in the taxonomic profiles of the resistant and non-resistant strains. Enrofloxacin treatments had varying effects, but generally facilitated increased relative abundance of multidrug-resistant Enterobacteriaceae strains, which were primarily E. coli. Metagenomic approaches revealed a diverse array of Staphylococcus spp., but the opportunistic pathogen S. aureus and methicillin resistance genes were not detected in culture-based or metagenomic analyses. Camphylobacteriaceae were significantly more abundant in the cloacal samples, especially in enrofloxacin-treated chickens, where a metagenome-assembled C. jejuni genome harboring fluoroquinolone and β-lactam resistance genes was identified. CONCLUSIONS Within a "farm-to-fork, one health" perspective, considering the evidence that bacitracin and enrofloxacin used in poultry production can select for resistance, we recommend their use be regulated. Furthermore, we suggest routine surveillance of ESBL E. coli, vancomycin-resistant E. faecalis and E. faecium, and fluoroquinolone-resistant C. jejuni strains considering their pathogenic nature and capacity to disseminate AMR to the environment. Video Abstract.
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Affiliation(s)
- Chhedi Lal Gupta
- Department of Soil Chemistry, Plant Nutrition and Microbiology, Institute of Soil, Water and Environmental Sciences, The Volcani Institute, Agricultural Research Organization, 7528809, Rishon LeZion, Israel
| | - Shlomo E Blum
- Department of Bacteriology, Kimron Veterinary Institute, 50250, Beit Dagan, Israel.
| | - Karuppasamy Kattusamy
- Department of Soil Chemistry, Plant Nutrition and Microbiology, Institute of Soil, Water and Environmental Sciences, The Volcani Institute, Agricultural Research Organization, 7528809, Rishon LeZion, Israel
| | - Tali Daniel
- Department of Bacteriology, Kimron Veterinary Institute, 50250, Beit Dagan, Israel
- Institute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Shelly Druyan
- Institute of Animal Science, Poultry and Aquaculture, The Volcani Institute, Agricultural Research Organization, 7505101, Rishon LeZion, Israel
| | - Roni Shapira
- Institute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Oleg Krifucks
- Department of Bacteriology, Kimron Veterinary Institute, 50250, Beit Dagan, Israel
| | - Yong-Guan Zhu
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
- Research Center for Eco-environmental Sciences, Beijing, 100049, China
| | - Xin-Yuan Zhou
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Jian-Qiang Su
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Eddie Cytryn
- Department of Soil Chemistry, Plant Nutrition and Microbiology, Institute of Soil, Water and Environmental Sciences, The Volcani Institute, Agricultural Research Organization, 7528809, Rishon LeZion, Israel.
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142
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Bodawatta KH, Hird SM, Grond K, Poulsen M, Jønsson KA. Avian gut microbiomes taking flight. Trends Microbiol 2021; 30:268-280. [PMID: 34393028 DOI: 10.1016/j.tim.2021.07.003] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/18/2021] [Accepted: 07/20/2021] [Indexed: 02/07/2023]
Abstract
Birds harbor complex gut bacterial communities that may sustain their ecologies and facilitate their biological roles, distribution, and diversity. Research on gut microbiomes in wild birds is surging and it is clear that they are diverse and important - but strongly influenced by a series of environmental factors. To continue expanding our understanding of how the internal ecosystems of birds work in their natural settings, we believe the most pressing needs involve studies on the functional and evolutionary aspects of these symbioses. Here we summarize the state of the field and provide a roadmap for future studies on aspects that are pivotal to understanding the biology of avian gut microbiomes, emphasizing prospects for integrating gut microbiome work in avian conservation and host health monitoring.
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Affiliation(s)
- Kasun H Bodawatta
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
| | - Sarah M Hird
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA; Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
| | - Kirsten Grond
- Department of Biological Sciences, University of Alaska, Anchorage, AK, USA
| | - Michael Poulsen
- Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Knud A Jønsson
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
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143
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Wang Y, Lyu N, Liu F, Liu WJ, Bi Y, Zhang Z, Ma S, Cao J, Song X, Wang A, Zhang G, Hu Y, Zhu B, Gao GF. More diversified antibiotic resistance genes in chickens and workers of the live poultry markets. ENVIRONMENT INTERNATIONAL 2021; 153:106534. [PMID: 33799229 DOI: 10.1016/j.envint.2021.106534] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/15/2021] [Accepted: 03/16/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Poultry farms and LPMs are a reservoir of antimicrobial resistant bacteria and resistance genes from feces. The LPM is an important interface between humans, farm animals, and environments in a typical urban environment, and it is considered a reservoir for ARGs and viruses. However, the antibiotic resistomes shared between chicken farms and LPMs, and that of LPM workers and people who have no contact with the LPMs remains unknown. METHODS We characterized the resistome and bacterial microbiome of farm chickens and LPMs and LPM workers and control subjects. The mobile ARGs identified in chickens and the distribution of the mcr-family genes in publicly bacterial genomes and chicken gut metagenomes was analyzed, respectively. In addition, the prevalence of mcr-1 in LPMs following the ban on colistin-positive additives in China was explored. RESULTS By profiling the microbiomes and resistomes in chicken farms, LPMs, LPM workers, and LPM environments, we found that the bacterial community composition and resistomes were significantly different between the farms and the LPMs, and the LPM samples possessed more diversified ARGs (59 types) than the farms. Some mobile ARGs, such as mcr-1 and tet(X3), identified in chicken farms, LPMs, LPM workers, and LPM environments were also harbored by human clinical pathogens. Moreover, we found that the resistomes were significantly different between the LPM workers and those who have no contact with the LPMs, and more diversified ARGs (188 types) were observed in the LPM workers. It is also worth noting that mcr-10 was identified in both human (5.2%, 96/1,859) and chicken (1.5%, 14/910) gut microbiomes. Although mcr-1 prevalence decreased significantly in the LPMs across the eight provinces in China, from 190/333 (57.1%) samples in September 2016-March 2017 to 208/544 (38.2%) samples in August 2018-May 2019, it is widespread and continuous in the LPMs. CONCLUSION Live poultry trade has a significant effect on the diversity of ARGs in LPM workers, chickens, and environments in China, driven by human selection with the live poultry trade. Our findings highlight the live poultry trade as ARG disseminators into LPMs, which serve as an interface of LPM environments even LPM workers, and that could urge Government to have better control of LPMs in China. Further studies on the factors that promote antibiotic resistance exchange between LPM environments, human commensals, and pathogens, are warranted.
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Affiliation(s)
- Yanan Wang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan 450046, China; CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Na Lyu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Fei Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - William J Liu
- NHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing 100101, China
| | - Zewu Zhang
- Dongguan Municipal Center for Disease Control and Prevention, Dongguan 523129, China
| | - Sufang Ma
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jian Cao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaofeng Song
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Aiping Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Gaiping Zhang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan 450046, China; School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Yongfei Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
| | - Baoli Zhu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China; Beijing Key Laboratory of Antimicrobial Resistance and Pathogen Genomics, Beijing 100101, China; Department of Pathogenic Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou, Sichuan 646000, China.
| | - George Fu Gao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing 100101, China; Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China.
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Zhang Y, Sun L, Zhu R, Zhang S, Liu S, Wang Y, Wu Y, Liao X, Mi J. Absence of Circadian Rhythm in Fecal Microbiota of Laying Hens under Common Light. Animals (Basel) 2021; 11:2065. [PMID: 34359193 PMCID: PMC8300245 DOI: 10.3390/ani11072065] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 07/05/2021] [Accepted: 07/07/2021] [Indexed: 12/28/2022] Open
Abstract
The circadian rhythm of gut microbiota is an important biological rhythm that plays a crucial role in host health. However, few studies have determined the associations between the circadian rhythm and gut microbiota in laying hens. The present experiment investigated the circadian rhythm of fecal microbiota in laying hens. Feces samples were collected from 10 laying hens at nine different time points (06:00-12:00-18:00-00:00-06:00-12:00-18:00-00:00-06:00) to demonstrate the circadian rhythm of fecal microbiota. The results showed that the α and β diversity of the fecal microbiota fluctuated significantly at different time points. Beta nearest taxon index analysis suggested that assembly strategies of the abundant and rare amplicon sequence variant (ASV) sub-communities were different. Abundant ASVs preferred dispersal limitation (weak selection), and rare ASVs were randomly formed due to the "non-dominant" fractions. Highly robust fluctuations of fecal microbiota at the phylum level were found. For example, Firmicutes and Proteobacteria fluctuated inversely to each other, but the total ratio remained in a dynamic balance over 48 h. We identified that temporal dynamic changes had a significant effect on the relative abundance of the important bacteria in the feces microbial community using the random forest algorithm. Eight bacteria, Ruminococcus gnavus, Faecalibacterium, Ruminococcaceae, Enterococcus cecorum, Lachnospiraceae, Clostridium, Clostridiales, and Megamonas, showed significant changes over time. One unexpected finding was the fact that these eight bacteria belong to Firmicutes. The pathways showed significant fluctuation, including xenobiotic biodegradation and metabolism, carbohydrate metabolism, and amino acid metabolism, which were consistent with the metabolic functions of amino acids and carbohydrates from the feed. This study showed that the defecation time may be an important factor in the diversity, proportion, and functions of the feces microbial community. However, there was no circadian rhythm of microbial community assembly confirmed by JTK_Cycle analysis. These results might suggest there was no obvious circadian rhythm of fecal microbiota in laying hens under common light.
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Affiliation(s)
- Yu Zhang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agriculture University, Guangzhou 510642, China; (Y.Z.); (L.S.); (R.Z.); (S.Z.); (S.L.); (Y.W.); (Y.W.)
- Ministry of Agriculture Key Laboratory of Tropical Agricultural Environment, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Lan Sun
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agriculture University, Guangzhou 510642, China; (Y.Z.); (L.S.); (R.Z.); (S.Z.); (S.L.); (Y.W.); (Y.W.)
- Ministry of Agriculture Key Laboratory of Tropical Agricultural Environment, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Run Zhu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agriculture University, Guangzhou 510642, China; (Y.Z.); (L.S.); (R.Z.); (S.Z.); (S.L.); (Y.W.); (Y.W.)
- Ministry of Agriculture Key Laboratory of Tropical Agricultural Environment, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Shiyu Zhang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agriculture University, Guangzhou 510642, China; (Y.Z.); (L.S.); (R.Z.); (S.Z.); (S.L.); (Y.W.); (Y.W.)
- Ministry of Agriculture Key Laboratory of Tropical Agricultural Environment, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Shuo Liu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agriculture University, Guangzhou 510642, China; (Y.Z.); (L.S.); (R.Z.); (S.Z.); (S.L.); (Y.W.); (Y.W.)
- Ministry of Agriculture Key Laboratory of Tropical Agricultural Environment, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Yan Wang
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agriculture University, Guangzhou 510642, China; (Y.Z.); (L.S.); (R.Z.); (S.Z.); (S.L.); (Y.W.); (Y.W.)
- Ministry of Agriculture Key Laboratory of Tropical Agricultural Environment, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Yinbao Wu
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agriculture University, Guangzhou 510642, China; (Y.Z.); (L.S.); (R.Z.); (S.Z.); (S.L.); (Y.W.); (Y.W.)
- Ministry of Agriculture Key Laboratory of Tropical Agricultural Environment, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Xindi Liao
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agriculture University, Guangzhou 510642, China; (Y.Z.); (L.S.); (R.Z.); (S.Z.); (S.L.); (Y.W.); (Y.W.)
- Ministry of Agriculture Key Laboratory of Tropical Agricultural Environment, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
| | - Jiandui Mi
- National Engineering Research Center for Breeding Swine Industry, College of Animal Science, South China Agriculture University, Guangzhou 510642, China; (Y.Z.); (L.S.); (R.Z.); (S.Z.); (S.L.); (Y.W.); (Y.W.)
- Ministry of Agriculture Key Laboratory of Tropical Agricultural Environment, South China Agricultural University, Guangzhou 510642, China
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, Guangzhou 510642, China
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145
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Sun B, Hou L, Yang Y. The Development of the Gut Microbiota and Short-Chain Fatty Acids of Layer Chickens in Different Growth Periods. Front Vet Sci 2021; 8:666535. [PMID: 34277754 PMCID: PMC8284478 DOI: 10.3389/fvets.2021.666535] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 05/28/2021] [Indexed: 12/14/2022] Open
Abstract
A long-term observation of changes of the gut microbiota and its metabolites would be beneficial to improving the production performance of chickens. Given this, 1-day-old chickens were chosen in this study, with the aim of observing the development of the gut microbiota and gut microbial function using 16S rRNA gene sequencing and metabolites short-chain fatty acids (SCFAs) from 8 to 50 weeks. The results showed that the relative abundances of Firmicutes and genus Alistipes were higher and fiber-degradation bacteria were less at 8 weeks compared with 20 and 50 weeks (P < 0.05). Consistently, gut microbial function was enriched in ATP-binding cassette transporters, the energy metabolism pathway, and amino acid metabolism pathway at 8 weeks. In contrast, the abundance of Bacteroidetes and some SCFA-producing bacteria and fiber-degradation bacteria significantly increased at 20 and 50 weeks compared with 8 weeks (P < 0.05), and the two-component system, glycoside hydrolase and carbohydrate metabolism pathway, was significantly increased with age. The concentration of SCFAs in the cecum at 20 weeks was higher than at 8 weeks (P < 0.01), because the level of fiber and the number of dominant fiber-degradation bacteria and SCFA-producing bacteria were more those at 20 weeks. Notably, although operational taxonomic units (OTUs) and the gut microbial α-diversity including Chao1 and abundance-based coverage estimator (ACE) were higher at 50 than 20 weeks (P < 0.01), the concentration of SCFAs at 50 weeks was lower than at 20 weeks (P < 0.01), suggesting that an overly high level of microbial diversity may not be beneficial to the production of SCFAs.
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Affiliation(s)
- Baosheng Sun
- Laboratory of Poultry Production, College of Animal Science, Shanxi Agricultural University, Jingzhong, China
| | - Linyue Hou
- Laboratory of Poultry Production, College of Animal Science, Shanxi Agricultural University, Jingzhong, China
| | - Yu Yang
- Laboratory of Poultry Production, College of Animal Science, Shanxi Agricultural University, Jingzhong, China
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146
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Xie F, Jin W, Si H, Yuan Y, Tao Y, Liu J, Wang X, Yang C, Li Q, Yan X, Lin L, Jiang Q, Zhang L, Guo C, Greening C, Heller R, Guan LL, Pope PB, Tan Z, Zhu W, Wang M, Qiu Q, Li Z, Mao S. An integrated gene catalog and over 10,000 metagenome-assembled genomes from the gastrointestinal microbiome of ruminants. MICROBIOME 2021; 9:137. [PMID: 34118976 PMCID: PMC8199421 DOI: 10.1186/s40168-021-01078-x] [Citation(s) in RCA: 141] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 04/15/2021] [Indexed: 05/20/2023]
Abstract
BACKGROUND Gastrointestinal tract (GIT) microbiomes in ruminants play major roles in host health and thus animal production. However, we lack an integrated understanding of microbial community structure and function as prior studies. are predominantly biased towards the rumen. Therefore, to acquire a microbiota inventory of the discrete GIT compartments, In this study, we used shotgun metagenomics to profile the microbiota of 370 samples that represent 10 GIT regions of seven ruminant species. RESULTS Our analyses reconstructed a GIT microbial reference catalog with > 154 million nonredundant genes and identified 8745 uncultured candidate species from over 10,000 metagenome-assembled genomes. The integrated gene catalog across the GIT regions demonstrates spatial associations between the microbiome and physiological adaptations, and 8745 newly characterized genomes substantially expand the genomic landscape of ruminant microbiota, particularly those from the lower gut. This substantially expands the previously known set of endogenous microbial diversity and the taxonomic classification rate of the GIT microbiome. These candidate species encode hundreds of enzymes and novel biosynthetic gene clusters that improve our understanding concerning methane production and feed efficiency in ruminants. Overall, this study expands the characterization of the ruminant GIT microbiota at unprecedented spatial resolution and offers clues for improving ruminant livestock production in the future. CONCLUSIONS Having access to a comprehensive gene catalog and collections of microbial genomes provides the ability to perform efficiently genome-based analysis to achieve a detailed classification of GIT microbial ecosystem composition. Our study will bring unprecedented power in future association studies to investigate the impact of the GIT microbiota in ruminant health and production. Video abstract.
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Affiliation(s)
- Fei Xie
- Laboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Wei Jin
- Laboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Huazhe Si
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China
| | - Yuan Yuan
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Ye Tao
- Shanghai BIOZERON Biotechnology Company Ltd, Shanghai, China
| | - Junhua Liu
- Laboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Xiaoxu Wang
- Department of Special Economic Animal Nutrition and Feed Science, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, China
| | - Chengjian Yang
- Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, China
| | - Qiushuang Li
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Xiaoting Yan
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China
| | - Limei Lin
- Laboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Qian Jiang
- Laboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Lei Zhang
- Laboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Changzheng Guo
- Laboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Chris Greening
- Biomedicine Discovery Institute, Department of Microbiology, Monash University, Clayton, Australia
| | - Rasmus Heller
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Le Luo Guan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada
| | - Phillip B Pope
- Faculty of Biosciences, Norwegian University of Life Sciences, Aas, Norway
| | - Zhiliang Tan
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
| | - Weiyun Zhu
- Laboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Min Wang
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China.
| | - Qiang Qiu
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China.
| | - Zhipeng Li
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
- Department of Special Economic Animal Nutrition and Feed Science, Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, China.
| | - Shengyong Mao
- Laboratory of Gastrointestinal Microbiology, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China.
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147
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Lei F, Liu X, Huang H, Fu S, Zou K, Zhang S, Zhou L, Zeng J, Liu H, Jiang L, Miao B, Liang Y. The Macleaya cordata Symbiont: Revealing the Effects of Plant Niches and Alkaloids on the Bacterial Community. Front Microbiol 2021; 12:681210. [PMID: 34177865 PMCID: PMC8219869 DOI: 10.3389/fmicb.2021.681210] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 05/07/2021] [Indexed: 11/13/2022] Open
Abstract
Endophytes are highly associated with plant growth and health. Exploring the variation of bacterial communities in different plant niches is essential for understanding microbe-plant interactions. In this study, high-throughput gene sequencing was used to analyze the composition and abundance of bacteria from the rhizospheric soil and different parts of the Macleaya cordata. The results indicated that the bacterial community structure varied widely among compartments. Bacterial diversity was observed to be the highest in the rhizospheric soil and the lowest in fruits. Proteobacteria, Actinobacteria, and Bacteroidetes were found as the dominant phyla. The genera Sphingomonas (∼47.77%) and Methylobacterium (∼45.25%) dominated in fruits and leaves, respectively. High-performance liquid chromatography (HPLC) was employed to measure the alkaloid content of different plant parts. Significant correlations were observed between endophytic bacteria and alkaloids. Especially, Sphingomonas showed a significant positive correlation with sanguinarine and chelerythrine. All four alkaloids were negatively correlated with the microbiota of stems. The predicted result of PICRUST2 revealed that the synthesis of plant alkaloids might lead to a higher abundance of endophytic microorganisms with genes related to alkaloid synthesis, further demonstrated the correlation between bacterial communities and alkaloids. This study provided the first insight into the bacterial community composition in different parts of Macleaya cordata and the correlation between the endophytic bacteria and alkaloids.
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Affiliation(s)
- Fangying Lei
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Key Laboratory of Biometallurgy, Ministry of Education, Changsha, China
| | - Xueduan Liu
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Key Laboratory of Biometallurgy, Ministry of Education, Changsha, China
| | - Haonan Huang
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Key Laboratory of Biometallurgy, Ministry of Education, Changsha, China
| | - Shaodong Fu
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Key Laboratory of Biometallurgy, Ministry of Education, Changsha, China
| | - Kai Zou
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Key Laboratory of Biometallurgy, Ministry of Education, Changsha, China
| | - Shuangfei Zhang
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Key Laboratory of Biometallurgy, Ministry of Education, Changsha, China
| | - Li Zhou
- Hunan Key Laboratory of Traditional Chinese Veterinary Medicine, Hunan Agricultural University, Changsha, China
| | - Jianguo Zeng
- Hunan Key Laboratory of Traditional Chinese Veterinary Medicine, Hunan Agricultural University, Changsha, China
| | - Hongwei Liu
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Key Laboratory of Biometallurgy, Ministry of Education, Changsha, China
| | - Luhua Jiang
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Key Laboratory of Biometallurgy, Ministry of Education, Changsha, China
| | - Bo Miao
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Key Laboratory of Biometallurgy, Ministry of Education, Changsha, China
| | - Yili Liang
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China.,Key Laboratory of Biometallurgy, Ministry of Education, Changsha, China
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148
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Kang K, Hu Y, Wu S, Shi S. Comparative Metagenomic Analysis of Chicken Gut Microbial Community, Function, and Resistome to Evaluate Noninvasive and Cecal Sampling Resources. Animals (Basel) 2021; 11:1718. [PMID: 34207572 PMCID: PMC8228302 DOI: 10.3390/ani11061718] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 06/02/2021] [Accepted: 06/05/2021] [Indexed: 12/14/2022] Open
Abstract
When conducting metagenomic analysis on gut microbiomes, there is no general consensus concerning the mode of sampling: non-contact (feces), noninvasive (rectal swabs), or cecal. This study aimed to determine the feasibility and comparative merits and disadvantages of using fecal samples or rectal swabs as a proxy for the cecal microbiome. Using broiler as a model, gut microbiomes were obtained from cecal, cloacal, and fecal samples and were characterized according to an analysis of the microbial community, function, and resistome. Cecal samples had higher microbial diversity than feces, while the cecum and cloaca exhibited higher levels of microbial community structure similarity compared with fecal samples. Cecal microbiota possessed higher levels of DNA replicative viability than feces, while fecal microbiota were correlated with increased metabolic activity. When feces were excreted, the abundance of antibiotic resistance genes like tet and ErmG decreased, but some antibiotic genes became more prevalent, such as fexA, tetL, and vatE. Interestingly, Lactobacillus was a dominant bacterial genus in feces that led to differences in microbial community structure, metabolism, and resistome. In conclusion, fecal microbiota have limited potential as a proxy in chicken gut microbial community studies. Thus, feces should be used with caution for characterizing gut microbiomes by metagenomic analysis.
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Affiliation(s)
- Kelang Kang
- Poultry Institute, Chinese Academy of Agricultural Science, Yangzhou 225000, China; (K.K.); (Y.H.); (S.W.)
| | - Yan Hu
- Poultry Institute, Chinese Academy of Agricultural Science, Yangzhou 225000, China; (K.K.); (Y.H.); (S.W.)
- Center of Effective Evaluation of Feed and Feed Additive (Poultry Institute) Ministry of Agriculture, Yangzhou 225000, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou 225000, China
| | - Shu Wu
- Poultry Institute, Chinese Academy of Agricultural Science, Yangzhou 225000, China; (K.K.); (Y.H.); (S.W.)
| | - Shourong Shi
- Poultry Institute, Chinese Academy of Agricultural Science, Yangzhou 225000, China; (K.K.); (Y.H.); (S.W.)
- Center of Effective Evaluation of Feed and Feed Additive (Poultry Institute) Ministry of Agriculture, Yangzhou 225000, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou 225000, China
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149
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Wen C, Yan W, Mai C, Duan Z, Zheng J, Sun C, Yang N. Joint contributions of the gut microbiota and host genetics to feed efficiency in chickens. MICROBIOME 2021; 9:126. [PMID: 34074340 PMCID: PMC8171024 DOI: 10.1186/s40168-021-01040-x] [Citation(s) in RCA: 87] [Impact Index Per Article: 21.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 02/22/2021] [Indexed: 05/19/2023]
Abstract
BACKGROUND Feed contributes most to livestock production costs. Improving feed efficiency is crucial to increase profitability and sustainability for animal production. Host genetics and the gut microbiota can both influence the host phenotype. However, the association between the gut microbiota and host genetics and their joint contribution to feed efficiency in chickens is largely unclear. RESULTS Here, we examined microbial data from the duodenum, jejunum, ileum, cecum, and feces in 206 chickens and their host genotypes and confirmed that the microbial phenotypes and co-occurrence networks exhibited dramatic spatial heterogeneity along the digestive tract. The correlations between host genetic kinship and gut microbial similarities within different sampling sites were weak, with coefficients ranging from - 0.07 to 0.08. However, microbial genome-wide analysis revealed that genetic markers near or inside the genes MTHFD1L and LARGE1 were associated with the abundances of cecal Megasphaera and Parabacteroides, respectively. The effect of host genetics on residual feed intake (RFI) was 39%. We further identified three independent genetic variations that were related to feed efficiency and had a modest effect on the gut microbiota. The contributions of the gut microbiota from the different parts of the intestinal tract on RFI were distinct. The cecal microbiota accounted for 28% of the RFI variance, a value higher than that explained by the duodenal, jejunal, ileal, and fecal microbiota. Additionally, six bacteria exhibited significant associations with RFI. Specifically, lower abundances of duodenal Akkermansia muciniphila and cecal Parabacteroides and higher abundances of cecal Lactobacillus, Corynebacterium, Coprobacillus, and Slackia were related to better feed efficiency. CONCLUSIONS Our findings solidified the notion that both host genetics and the gut microbiota, especially the cecal microbiota, can drive the variation in feed efficiency. Although host genetics has a limited effect on the entire microbial community, a small fraction of gut microorganisms tends to interact with host genes, jointly contributing to feed efficiency. Therefore, the gut microbiota and host genetic variations can be simultaneously targeted by favoring more-efficient taxa and selective breeding to improve feed efficiency in chickens. Video abstract.
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Affiliation(s)
- Chaoliang Wen
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100193, China
| | - Wei Yan
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100193, China
| | - Chunning Mai
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100193, China
| | - Zhongyi Duan
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100193, China
- National Animal Husbandry Service, Beijing, 100125, China
| | - Jiangxia Zheng
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100193, China
| | - Congjiao Sun
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100193, China.
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, 100193, China.
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150
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Jiang F, Wang S, Zhang Y, Ma S, Huang Y, Fan H, Li Q, Wang H, Wang A, Liu H, Cheng L, Deng Y, Fan W. Variation of Metagenome From Feedstock to Digestate in Full-Scale Biogas Plants. Front Microbiol 2021; 12:660225. [PMID: 34122376 PMCID: PMC8193575 DOI: 10.3389/fmicb.2021.660225] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 04/30/2021] [Indexed: 11/13/2022] Open
Abstract
Anaerobic digestion (AD) has been widely used to resolve the problem of organic wastes worldwide. Previous studies showed that the types of feedstock have a great influence on the AD microbiome, and a huge number of AD populations are migrated from upstream feedstocks. However, the changes of microbial compositions from feedstock to AD digestate are still less understood. We collected feedstock samples from 56 full-scale biogas plants, generated 1,716 Gb feedstock metagenomic data in total, and constructed the first comprehensive microbial gene catalog of feedstock containing 25.2 million genes. Our result indicated that the predominant phyla in feedstock are Firmicutes, Bacteroidetes, and Proteobacteria, which is similar to that in AD digestate, and the microbial diversity of feedstock samples is higher than that of AD digestate samples. In addition, the relative abundance of most genes involved in methanogenesis increase from feedstock to AD digestate. Besides, the amount of antibiotic resistance genes (ARGs) and pathogenic bacteria in AD are effectively reduced compared to feedstocks. This study provides a comprehensive microbial gene catalog of feedstock, and deepens the understanding of variation of microbial communities from feedstock to AD digestate of full-scale AD. The results also suggest the potential of AD to reduce the level of ARGs and pathogens in animal manure.
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Affiliation(s)
- Fan Jiang
- Guangdong Laboratory for Lingnan Modern Agriculture (Shenzhen Branch), Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Sen Wang
- Guangdong Laboratory for Lingnan Modern Agriculture (Shenzhen Branch), Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Yan Zhang
- Guangdong Laboratory for Lingnan Modern Agriculture (Shenzhen Branch), Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Shichun Ma
- Biogas Institute of Ministry of Agricultural and Rural Affairs, Chengdu, China
- Laboratory of Development and Application of Rural Renewable Energy, Ministry of Agricultural and Rural Affairs, Chengdu, China
| | - Yan Huang
- Biogas Institute of Ministry of Agricultural and Rural Affairs, Chengdu, China
- Laboratory of Development and Application of Rural Renewable Energy, Ministry of Agricultural and Rural Affairs, Chengdu, China
| | - Hui Fan
- Biogas Institute of Ministry of Agricultural and Rural Affairs, Chengdu, China
- Laboratory of Development and Application of Rural Renewable Energy, Ministry of Agricultural and Rural Affairs, Chengdu, China
| | - Qiang Li
- Biogas Institute of Ministry of Agricultural and Rural Affairs, Chengdu, China
- Laboratory of Development and Application of Rural Renewable Energy, Ministry of Agricultural and Rural Affairs, Chengdu, China
| | - Hengchao Wang
- Guangdong Laboratory for Lingnan Modern Agriculture (Shenzhen Branch), Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Anqi Wang
- Guangdong Laboratory for Lingnan Modern Agriculture (Shenzhen Branch), Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Hangwei Liu
- Guangdong Laboratory for Lingnan Modern Agriculture (Shenzhen Branch), Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Lei Cheng
- Biogas Institute of Ministry of Agricultural and Rural Affairs, Chengdu, China
- Laboratory of Development and Application of Rural Renewable Energy, Ministry of Agricultural and Rural Affairs, Chengdu, China
| | - Yu Deng
- Biogas Institute of Ministry of Agricultural and Rural Affairs, Chengdu, China
- Laboratory of Development and Application of Rural Renewable Energy, Ministry of Agricultural and Rural Affairs, Chengdu, China
| | - Wei Fan
- Guangdong Laboratory for Lingnan Modern Agriculture (Shenzhen Branch), Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
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