1
|
Huang Q, Wen C, Gu S, Jie Y, Li G, Yan Y, Tian C, Wu G, Yang N. Synergy of gut microbiota and host genome in driving heterosis expression of chickens. J Genet Genomics 2024; 51:1121-1134. [PMID: 38950856 DOI: 10.1016/j.jgg.2024.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 06/18/2024] [Accepted: 06/19/2024] [Indexed: 07/03/2024]
Abstract
Heterosis has been widely utilized in agricultural production. Despite over a century of extensive research, the underlying mechanisms of heterosis remain elusive. Most hypotheses and research have focused on the genetic basis of heterosis. However, the potential role of gut microbiota in heterosis has been largely ignored. Here, we carefully design a crossbreeding experiment with two distinct broiler breeds and conduct 16S rRNA amplicon and transcriptome sequencing to investigate the synergistic role of gut microbiota and host genes in driving heterosis. We find that the breast muscle weight of hybrids exhibits a high heterosis, 6.28% higher than the mid-parent value. A notable difference is observed in the composition and potential function of cecal microbiota between hybrids and their parents. Over 90% of differentially colonized microbiota and differentially expressed genes exhibit nonadditive patterns. Integrative analyses uncover associations between nonadditive genes and nonadditive microbiota, including a connection between the expression of cellular signaling pathways and metabolism-related genes and the abundance of Odoribacter, Oscillibacter, and Alistipes in hybrids. Moreover, higher abundances of these microbiota are related to better meat yield. In summary, these findings highlight the importance of gut microbiota in heterosis, serving as crucial factors that modulate heterosis expression in chickens.
Collapse
Affiliation(s)
- Qiang Huang
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing 100193, China; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Chaoliang Wen
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing 100193, China; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; Sanya Institute of China Agricultural University, Hainan 572025, China.
| | - Shuang Gu
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing 100193, China; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yuchen Jie
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing 100193, China; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Guangqi Li
- Beijing Huadu Yukou Poultry Industry Co. Ltd., Beijing 101206, China
| | - Yiyuan Yan
- Beijing Huadu Yukou Poultry Industry Co. Ltd., Beijing 101206, China
| | - Chuanyao Tian
- Beijing Huadu Yukou Poultry Industry Co. Ltd., Beijing 101206, China
| | - Guiqin Wu
- Beijing Huadu Yukou Poultry Industry Co. Ltd., Beijing 101206, China
| | - Ning Yang
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design Breeding, China Agricultural University, Beijing 100193, China; National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; Sanya Institute of China Agricultural University, Hainan 572025, China.
| |
Collapse
|
2
|
Meng Q, Tang Z, Yang F, Shi J, Liu T, Cheng S. Functional analysis of microorganisms and metabolites in the cecum of different sheep populations and their effects on production traits. Front Microbiol 2024; 15:1437250. [PMID: 39351299 PMCID: PMC11439670 DOI: 10.3389/fmicb.2024.1437250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Accepted: 08/27/2024] [Indexed: 10/04/2024] Open
Abstract
The purpose of this study was to investigate the effects of intestinal microbiota on the growth and production performance of different groups of sheep, focusing on the role of cecal microbiota in regulating intestinal function, enhancing digestion and absorption, and improving feed utilization. The production performance of MG × STH (Mongolia × Small Tailed Han) F1 hybrids and purebred STH (Small Tailed Han) sheep by measuring various factors, including enzyme activities and VFAs (volatile fatty acids), to analyze changes in cecal fermentation parameters across different sheep groups. Metagenomic and metabolomic sequencing combined with bioinformatics to analyze the cecal contents of the two sheep populations. The study findings indicated that the MG × STH F1 hybrids outperformed the purebred STH in terms of body weight, height, oblique body length, and VFAs (p < 0.05). Additionally, the MG × STH F1 higher levels of protease and cellulase in the cecum compared to the purebred sheep (p < 0.05). Metagenomic analysis identified 4,034 different microorganisms at the species level. Five differential organisms (Akkermansiaceae bacterium, Escherichia coli, unclassified p Firmicutes, Streptococcus equinus, Methanobrevibacter millerae) positively regulated sheep performance. Metabolomics identified 822 differential metabolites indoleacetaldehyde, 2-aminobenzoic acid, phenyl-Alanine, enol-phenylpyruvate and n-acetylserotonin were associated with improved performance of sheep. The combined results from the metagenomic and metabolomic studies suggest a positive correlation between specific microbes and metabolites and the performance of the sheep. In conclusion, the MG × STH F1 hybrids demonstrated superior growth performance compared to the purebred STH sheep. The identified microorganisms and metabolites have promising roles in positively regulating sheep growth and can be considered key targets for enhancing sheep performance.
Collapse
Affiliation(s)
- Quanlu Meng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
- College of Biological and Architectural Engineering, Baoji Vocational and Technical College, Baoji, China
| | - Zhixiong Tang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Feifei Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Jinping Shi
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Ting Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - Shuru Cheng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| |
Collapse
|
3
|
Cheng Z, Huang H, Qiao G, Wang Y, Wang X, Yue Y, Gao Q, Peng S. Metagenomic and Metabolomic Analyses Reveal the Role of Gut Microbiome-Associated Metabolites in the Muscle Elasticity of the Large Yellow Croaker ( Larimichthys crocea). Animals (Basel) 2024; 14:2690. [PMID: 39335279 PMCID: PMC11428853 DOI: 10.3390/ani14182690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 08/24/2024] [Accepted: 09/05/2024] [Indexed: 09/30/2024] Open
Abstract
The large yellow croaker (LYC, Larimichthys crocea) is highly regarded for its delicious taste and unique flavor. The gut microbiota has the ability to affect the host muscle performance and elasticity by regulating nutrient metabolism. The purpose of this study is to establish the relationship between muscle quality and intestinal flora in order to provide reference for the improvement of the muscle elasticity of LYC. In this study, the intestinal contents of high muscle elasticity males (IEHM), females (IEHF), and low muscle elasticity males (IELM) and females (IELF) were collected and subjected to metagenomic and metabolomic analyses. Metagenomic sequencing results showed that the intestinal flora structures of LYCs with different muscle elasticities were significantly different. The abundance of Streptophyta in the IELM (24.63%) and IELF (29.68%) groups was significantly higher than that in the IEHM and IEHF groups. The abundance of Vibrio scophthalmi (66.66%) in the IEHF group was the highest. Based on metabolomic analysis by liquid chromatograph-mass spectrometry, 107 differentially abundant metabolites were identified between the IEHM and IELM groups, and 100 differentially abundant metabolites were identified between the IEHF and IELF groups. Based on these metabolites, a large number of enriched metabolic pathways related to muscle elasticity were identified. Significant differences in the intestinal metabolism between groups with different muscle elasticities were identified. Moreover, the model of the relationship between the intestinal flora and metabolites was constructed, and the molecular mechanism of intestinal flora regulation of the nutrient metabolism was further revealed. The results help to understand the molecular mechanism of different muscle elasticities of LYC and provide an important reference for the study of the mechanism of the effects of LYC intestinal symbiotic bacteria on muscle development, and the development and application of probiotics in LYC.
Collapse
Affiliation(s)
- Zhenheng Cheng
- College of Life Sciences, Huzhou University, 759 Erhuan East Road, Wuxing District, Huzhou 313000, China
- East China Sea Fishery Research Institute, Shanghai 200090, China
| | - Hao Huang
- College of Life Sciences, Huzhou University, 759 Erhuan East Road, Wuxing District, Huzhou 313000, China
- East China Sea Fishery Research Institute, Shanghai 200090, China
| | - Guangde Qiao
- East China Sea Fishery Research Institute, Shanghai 200090, China
| | - Yabing Wang
- East China Sea Fishery Research Institute, Shanghai 200090, China
| | - Xiaoshan Wang
- East China Sea Fishery Research Institute, Shanghai 200090, China
| | - Yanfeng Yue
- East China Sea Fishery Research Institute, Shanghai 200090, China
| | - Quanxin Gao
- College of Life Sciences, Huzhou University, 759 Erhuan East Road, Wuxing District, Huzhou 313000, China
| | - Shiming Peng
- East China Sea Fishery Research Institute, Shanghai 200090, China
| |
Collapse
|
4
|
Yin J, Yuan D, Xu Z, Wu Y, Chen Z, Xiang X. Significant Differences in Intestinal Bacterial Communities of Sympatric Bean Goose, Hooded Crane, and Domestic Goose. Animals (Basel) 2024; 14:1688. [PMID: 38891737 PMCID: PMC11170997 DOI: 10.3390/ani14111688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 05/25/2024] [Accepted: 06/01/2024] [Indexed: 06/21/2024] Open
Abstract
The host's physiological well-being is intricately associated with the gut microbiota. However, previous studies regarding the intestinal microbiota have focused on domesticated or captive birds. This study used high-throughput sequencing technology to identify the gut bacterial communities of sympatric bean geese, hooded cranes, and domestic geese. The results indicated that the gut bacterial diversity in domestic geese and hooded cranes showed considerably higher diversity than bean geese. The gut bacterial community compositions varied significantly among the three hosts (p < 0.05). Compared to the hooded crane, the bean goose and domestic goose were more similar in their genotype and evolutionary history, with less difference in the bacterial community composition and assembly processes between the two species. Thus, the results might support the crucial role of host genotypes on their gut microbiota. The gut bacteria of wild hooded cranes and bean geese had a greater capacity for energy metabolism compared to domestic geese, suggesting that wild birds may rely more on their gut microbiota to survive in cold conditions. Moreover, the intestines of the three hosts were identified as harboring potential pathogens. The relative abundance of pathogens was higher in the hooded crane compared to the other two species. The hooded crane gut bacterial community assemblage revealed the least deterministic process with the lowest filtering/selection on the gut microbiota, which might have been a reason for the highest number of pathogens result. Compared to the hooded crane, the sympatric bean goose showed the least diversity and relative abundance of pathogens. The intestinal bacterial co-occurrence network showed the highest stability in the bean goose, potentially enhancing host resistance to adverse environments and reducing the susceptibility to pathogen invasion. In this study, the pathogens were also discovered to overlap among the three hosts, reminding us to monitor the potential for pathogen transmission between poultry and wild birds. Overall, the current findings have the potential to enhance the understanding of gut bacterial and pathogenic community structures in poultry and wild birds.
Collapse
Affiliation(s)
- Jing Yin
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China; (J.Y.); (D.Y.); (Z.X.); (Y.W.)
- Anhui Shengjin Lake Wetland Ecology National Long-Term Scientific Research Base, Chizhou 247230, China
| | - Dandan Yuan
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China; (J.Y.); (D.Y.); (Z.X.); (Y.W.)
- Anhui Shengjin Lake Wetland Ecology National Long-Term Scientific Research Base, Chizhou 247230, China
| | - Ziqiu Xu
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China; (J.Y.); (D.Y.); (Z.X.); (Y.W.)
| | - Yuannuo Wu
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China; (J.Y.); (D.Y.); (Z.X.); (Y.W.)
- Anhui Shengjin Lake Wetland Ecology National Long-Term Scientific Research Base, Chizhou 247230, China
| | - Zhong Chen
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China; (J.Y.); (D.Y.); (Z.X.); (Y.W.)
- Anhui Shengjin Lake Wetland Ecology National Long-Term Scientific Research Base, Chizhou 247230, China
- International Collaborative Research Center for Huangshan Biodiversity and Tibetan Macaque Behavioral Ecology, Hefei 230601, China
| | - Xingjia Xiang
- School of Resources and Environmental Engineering, Anhui University, Hefei 230601, China; (J.Y.); (D.Y.); (Z.X.); (Y.W.)
- Anhui Shengjin Lake Wetland Ecology National Long-Term Scientific Research Base, Chizhou 247230, China
- International Collaborative Research Center for Huangshan Biodiversity and Tibetan Macaque Behavioral Ecology, Hefei 230601, China
| |
Collapse
|
5
|
Yang J, Qin K, Wang Q, Yang X. Deciphering the nutritional strategies for polysaccharides effects on intestinal barrier in broilers: Selectively promote microbial ecosystems. Int J Biol Macromol 2024; 264:130677. [PMID: 38458298 DOI: 10.1016/j.ijbiomac.2024.130677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 03/03/2024] [Accepted: 03/05/2024] [Indexed: 03/10/2024]
Abstract
The gut microbiota, a complex and dynamic microbial ecosystem, plays a crucial role in regulating the intestinal barrier. Polysaccharide foraging is specifically dedicated to establishing and maintaining microbial communities, contributing to the shaping of the intestinal ecosystem and ultimately enhancing the integrity of the intestinal barrier. The utilization and regulation of individual polysaccharides often rely on distinct gut-colonizing bacteria. The products of their metabolism not only benefit the formation of the ecosystem but also facilitate cross-feeding partnerships. In this review, we elucidate the mechanisms by which specific bacteria degrade polysaccharides, and how polysaccharide metabolism shapes the microbial ecosystem through cross-feeding. Furthermore, we explore how selectively promoting microbial ecosystems and their metabolites contributes to improvements in the integrity of the intestinal barrier.
Collapse
Affiliation(s)
- Jiantao Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Kailong Qin
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Qianggang Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Xiaojun Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.
| |
Collapse
|
6
|
Wen C, Wang Q, Gu S, Jin J, Yang N. Emerging perspectives in the gut-muscle axis: The gut microbiota and its metabolites as important modulators of meat quality. Microb Biotechnol 2024; 17:e14361. [PMID: 37902307 PMCID: PMC10832551 DOI: 10.1111/1751-7915.14361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/30/2023] [Accepted: 10/11/2023] [Indexed: 10/31/2023] Open
Abstract
Animal breeding has made great genetic progress in increasing carcass weight and meat yield in recent decades. However, these improvements have come at the expense of meat quality. As the demand for meat quantity continues to rise, the meat industry faces the great challenge of maintaining and even increasing product quality. Recent research, including traditional statistical analyses and gut microbiota regulation research, has demonstrated that the gut microbiome exerts a considerable effect on meat quality, which has become increasingly intriguing in farm animals. Microbial metabolites play crucial roles as substrates or signalling factors to distant organs, influencing meat quality either beneficially or detrimentally. Interventions targeting the gut microbiota exhibit excellent potential as natural ways to foster the conversion of myofibres and promote intramuscular fat deposition. Here, we highlight the emerging roles of the gut microbiota in various dimensions of meat quality. We focus particularly on the effects of the gut microbiota and gut-derived molecules on muscle fibre metabolism and intramuscular fat deposition and attempt to summarize the potential underlying mechanisms.
Collapse
Affiliation(s)
- Chaoliang Wen
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design BreedingChina Agricultural UniversityBeijingChina
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijingChina
- Department of Animal Genetics and Breeding, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
- Sanya Institute of China Agricultural UniversityHainanChina
| | - Qunpu Wang
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design BreedingChina Agricultural UniversityBeijingChina
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijingChina
- Department of Animal Genetics and Breeding, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Shuang Gu
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design BreedingChina Agricultural UniversityBeijingChina
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijingChina
- Department of Animal Genetics and Breeding, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Jiaming Jin
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design BreedingChina Agricultural UniversityBeijingChina
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijingChina
- Department of Animal Genetics and Breeding, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Ning Yang
- State Key Laboratory of Animal Biotech Breeding and Frontier Science Center for Molecular Design BreedingChina Agricultural UniversityBeijingChina
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural AffairsChina Agricultural UniversityBeijingChina
- Department of Animal Genetics and Breeding, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
- Sanya Institute of China Agricultural UniversityHainanChina
| |
Collapse
|
7
|
Feng Y, Zhang M, Liu Y, Yang X, Wei F, Jin X, Liu D, Guo Y, Hu Y. Quantitative microbiome profiling reveals the developmental trajectory of the chicken gut microbiota and its connection to host metabolism. IMETA 2023; 2:e105. [PMID: 38868437 PMCID: PMC10989779 DOI: 10.1002/imt2.105] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/06/2023] [Accepted: 03/15/2023] [Indexed: 06/14/2024]
Abstract
Revealing the assembly and succession of the chicken gut microbiota is critical for a better understanding of its role in chicken physiology and metabolism. However, few studies have examined dynamic changes of absolute chicken gut microbes using the quantitative microbiome profiling (QMP) method. Here, we revealed the developmental trajectory of the broiler chicken gut bacteriome and mycobiome by combining high-throughput sequencing with a microbial load quantification assay. We showed that chicken gut microbiota abundance and diversity reached a plateau at 7 days posthatch (DPH), forming segment-specific community types after 1 DPH. The bacteriome was more impacted by deterministic processes, and the mycobiome was more affected by stochastic processes. We also observed stage-specific microbes in different gut segments, and three microbial occurrence patterns including "colonization," "disappearance," and "core" were defined. The microbial co-occurrence networks were very different among gut segments, with more positive associations than negative associations. Furthermore, we provided links between the absolute changes in chicken gut microbiota and their serum metabolite variations. Time-course untargeted metabolomics revealed six metabolite clusters with different changing patterns of abundance. The foregut microbiota had more connections with chicken serum metabolites, and the gut microbes were closely related to chicken lipid and amino acid metabolism. The present study provided a full landscape of chicken gut microbiota development in a quantitative manner, and the associations between gut microbes and chicken serum metabolites further highlight the impact of gut microbiota in chicken growth and development.
Collapse
Affiliation(s)
- Yuqing Feng
- State Key Laboratory of Animal Nutrition, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Meihong Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Yan Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Xinyue Yang
- State Key Laboratory of Animal Nutrition, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Fuxiao Wei
- State Key Laboratory of Animal Nutrition, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Xiaolu Jin
- State Key Laboratory of Animal Nutrition, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Dan Liu
- State Key Laboratory of Animal Nutrition, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Yuming Guo
- State Key Laboratory of Animal Nutrition, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| | - Yongfei Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and TechnologyChina Agricultural UniversityBeijingChina
| |
Collapse
|
8
|
Wen C, Gou Q, Gu S, Huang Q, Sun C, Zheng J, Yang N. The cecal ecosystem is a great contributor to intramuscular fat deposition in broilers. Poult Sci 2023; 102:102568. [PMID: 36889043 PMCID: PMC10011826 DOI: 10.1016/j.psj.2023.102568] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023] Open
Abstract
Intramuscular fat (IMF) content is a meat quality trait of major economic importance in animal production. Emerging evidence has demonstrated that meat quality can be improved by regulating the gut microbiota. However, the organization and ecological properties of the gut microbiota and its relationship with the IMF content remain unclear in chickens. Here, we investigated the microbial communities of 206 cecal samples from broilers with excellent meat quality. We noted that the cecal microbial ecosystem obtained from hosts reared under the same management and dietary conditions showed clear compositional stratification. Two enterotypes, in which the ecological properties, including diversity and interaction strengths, were significantly different, described the microbial composition pattern. Compared with enterotype 2, enterotype 1, distinguished by the Clostridia_vadinBB60_group, had a higher fat deposition, although no discrepancy was found in growth performance and meat yield. A moderate correlation was observed in the IMF content between 2 muscle tissues, despite the IMF content of thigh muscle was 42.76% greater than that of breast muscle. Additionally, the lower abundance of cecal vadinBE97 was related to higher IMF levels in both muscle tissues. Although vadinBE97 accounted for 0.40% of the total abundance of genera in the cecum, it exhibited significant and positive correlations with other genera (accounting for 25.3% of the tested genera). Our results highlight important insights into the cecal microbial ecosystem and its association with meat quality. Microbial interactions should be carefully considered when developing approaches to improve the IMF content by regulating the gut microbiota in broilers.
Collapse
Affiliation(s)
- Chaoliang Wen
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China; 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
| | - Qinli Gou
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China; 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
| | - Shuang Gu
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China; 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
| | - Qiang Huang
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China; 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
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China; 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
| | - Jiangxia Zheng
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China; 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
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China; 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.
| |
Collapse
|
9
|
Zhang J, Feng Y, Hu Y. Integration of SNP genotyping and 16S rRNA amplicon sequencing to identify heritable gut microbes in chickens. STAR Protoc 2023; 4:102071. [PMID: 36853671 PMCID: PMC9922956 DOI: 10.1016/j.xpro.2023.102071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 12/11/2022] [Accepted: 01/09/2023] [Indexed: 01/28/2023] Open
Abstract
The effect of host genetics on the gut microbiota is not fully understood. Here, we introduce a protocol that describes the steps necessary to analyze the SNP genotyping and amplicon sequencing data to identify heritable microbes in chicken gut. We apply this protocol to infer the cecal heritable taxa and their associated SNPs in chicken genome sequence. This will be beneficial for the identification of gut microbes that are influenced by host genetics in both humans and animals. For complete details on the use and execution of this protocol, please refer to Feng et al. (2022).1.
Collapse
Affiliation(s)
- Jinxin Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China
| | - Yuqing Feng
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China.
| | - Yongfei Hu
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, PR China.
| |
Collapse
|