1
|
Ignatiou A, Pitsouli C. Host-diet-microbiota interplay in intestinal nutrition and health. FEBS Lett 2024. [PMID: 38946050 DOI: 10.1002/1873-3468.14966] [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: 04/21/2024] [Accepted: 06/11/2024] [Indexed: 07/02/2024]
Abstract
The intestine is populated by a complex and dynamic assortment of microbes, collectively called gut microbiota, that interact with the host and contribute to its metabolism and physiology. Diet is considered a key regulator of intestinal microbiota, as ingested nutrients interact with and shape the resident microbiota composition. Furthermore, recent studies underscore the interplay of dietary and microbiota-derived nutrients, which directly impinge on intestinal stem cells regulating their turnover to ensure a healthy gut barrier. Although advanced sequencing methodologies have allowed the characterization of the human gut microbiome, mechanistic studies assessing diet-microbiota-host interactions depend on the use of genetically tractable models, such as Drosophila melanogaster. In this review, we first discuss the similarities between the human and fly intestines and then we focus on the effects of diet and microbiota on nutrient-sensing signaling cascades controlling intestinal stem cell self-renewal and differentiation, as well as disease. Finally, we underline the use of the Drosophila model in assessing the role of microbiota in gut-related pathologies and in understanding the mechanisms that mediate different whole-body manifestations of gut dysfunction.
Collapse
Affiliation(s)
- Anastasia Ignatiou
- Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | - Chrysoula Pitsouli
- Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| |
Collapse
|
2
|
Cheng X, Jiang T, Huang Q, Ji L, Li J, Kong X, Zhu X, He X, Deng X, Wu T, Yu H, Shi Y, Liu L, Zhao X, Wang X, Chen H, Yu J. Exposure to Titanium Dioxide Nanoparticles Leads to Specific Disorders of Spermatid Elongation via Multiple Metabolic Pathways in Drosophila Testes. ACS OMEGA 2024; 9:23613-23623. [PMID: 38854533 PMCID: PMC11154731 DOI: 10.1021/acsomega.4c01140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 05/10/2024] [Accepted: 05/14/2024] [Indexed: 06/11/2024]
Abstract
Titanium dioxide nanoparticles (TiO2 NPs) have been extensively utilized in various applications. However, the regulatory mechanism behind the reproductive toxicity induced by TiO2 NP exposure remains largely elusive. In this study, we employed a Drosophila model to assess potential testicular injuries during spermatogenesis and conducted bulk RNA-Seq analysis to elucidate the underlying mechanisms. Our results reveal that while prolonged exposure to lower concentrations of TiO2 NPs (0.45 mg/mL) for 30 days did not manifest reproductive toxicity, exposure at concentrations of 0.9 and 1.8 mg/mL significantly impaired spermatid elongation in Drosophila testes. Notably, bulk RNA-seq analysis revealed that TiO2 NP exposure affected multiple metabolic pathways including carbohydrate metabolism and cytochrome P450. Importantly, the intervention of glutathione (GSH) significantly protected against reproductive toxicity induced by TiO2 NP exposure, as it restored the number of Orb-positive spermatid clusters in Drosophila testes. Our study provides novel insights into the specific detrimental effects of TiO2 NP exposure on spermatid elongation through multiple metabolic alterations in Drosophila testes and highlights the protective role of GSH in countering this toxicity.
Collapse
Affiliation(s)
- Xinmeng Cheng
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Ting Jiang
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Qiuru Huang
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Li Ji
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Jiaxin Li
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Xiuwen Kong
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Xiaoqi Zhu
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Xuxin He
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Xiaonan Deng
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Tong Wu
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Hao Yu
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Yi Shi
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Lin Liu
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Xinyuan Zhao
- Department
of Occupational Medicine and Environmental Toxicology, Nantong Key
Laboratory of Environmental Toxicology, School of Public Health, Nantong University, Nantong 226019, China
| | - Xiaorong Wang
- Center
for Reproductive Medicine, Affiliated Maternity
and Child Health Care Hospital of Nantong University, Nantong 226018, China
- Nantong
Institute of Genetics and Reproductive Medicine, Affiliated Maternity and Child Healthcare Hospital of Nantong University, Nantong 226018, China
- Nantong
Key Laboratory of Genetics and Reproductive Medicine, Nantong 226018, China
| | - Hao Chen
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| | - Jun Yu
- Institute
of Reproductive Medicine, School of Medicine, Nantong University, Nantong 226001, China
| |
Collapse
|
3
|
Kannan M, Vitenberg T, Schweitzer R, Opatovsky I. Hemolymph metabolism of black soldier fly (Diptera: Stratiomyidae), response to different supplemental fungi. JOURNAL OF INSECT SCIENCE (ONLINE) 2024; 24:5. [PMID: 38713543 DOI: 10.1093/jisesa/ieae050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 03/17/2024] [Accepted: 04/14/2024] [Indexed: 05/09/2024]
Abstract
The black soldier fly, Hermetia illucens L. (Diptera: Stratiomyidae), is commonly used for organic waste recycling and animal feed production. However, the often inadequate nutrients in organic waste necessitate nutritional enhancement of black soldier fly larvae, e.g., by fungal supplementation of its diet. We investigated the amino acid composition of two fungi, Candida tropicalis (Castell.) Berkhout (Saccharomycetales: Saccharomycetaceae) and Pichia kudriavzevii Boidin, Pignal & Besson (Saccharomycetales: Pichiaceae), from the black soldier fly gut, and commercial baker's yeast, Saccharomyces cerevisiae Meyen ex E.C. Hansen (Saccharomycetales: Saccharomycetaceae), and their effects on larval growth and hemolymph metabolites in fifth-instar black soldier fly larvae. Liquid chromatography-mass spectrometry was used to study the effect of fungal metabolites on black soldier fly larval metabolism. Amino acid analysis revealed significant variation among the fungi. Fungal supplementation led to increased larval body mass and differential metabolite accumulation. The three fungal species caused distinct metabolic changes, with each over-accumulating and down-accumulating various metabolites. We identified significant alteration of histidine metabolism, aminoacyl-tRNA biosynthesis, and glycerophospholipid metabolism in BSF larvae treated with C. tropicalis. Treatment with P. kudriavzevii affected histidine metabolism and citrate cycle metabolites, while both P. kudriavzevii and S. cerevisiae treatments impacted tyrosine metabolism. Treatment with S. cerevisiae resulted in down-accumulation of metabolites related to glycine, serine, and threonine metabolism. This study suggests that adding fungi to the larval diet significantly affects black soldier fly larval metabolomics. Further research is needed to understand how individual amino acids and their metabolites contributed by fungi affect black soldier fly larval physiology, growth, and development, to elucidate the interaction between fungal nutrients and black soldier fly physiology.
Collapse
Affiliation(s)
- Mani Kannan
- Laboratory of Insect Nutrition and Metabolism, Department of Nutrition and Natural Products, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel
- Department of Animal Science, Faculty of Sciences and Technology, Tel-Hai College, 11 Upper Galilee, Israel
| | - Tzach Vitenberg
- Laboratory of Insect Nutrition and Metabolism, Department of Nutrition and Natural Products, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel
| | - Ron Schweitzer
- Department of Natural Compounds and Analytical Chemistry, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel
| | - Itai Opatovsky
- Laboratory of Insect Nutrition and Metabolism, Department of Nutrition and Natural Products, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel
- Department of Animal Science, Faculty of Sciences and Technology, Tel-Hai College, 11 Upper Galilee, Israel
| |
Collapse
|
4
|
Jin MK, Zhang Q, Xu N, Zhang Z, Guo HQ, Li J, Ding K, Sun X, Yang XR, Zhu D, Su X, Qian H, Zhu YG. Lipid Metabolites as Potential Regulators of the Antibiotic Resistome in Tetramorium caespitum. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:4476-4486. [PMID: 38382547 DOI: 10.1021/acs.est.3c05741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Antibiotic resistance genes (ARGs) are ancient but have become a modern critical threat to health. Gut microbiota, a dynamic reservoir for ARGs, transfer resistance between individuals. Surveillance of the antibiotic resistome in the gut during different host growth phases is critical to understanding the dynamics of the resistome in this ecosystem. Herein, we disentangled the ARG profiles and the dynamic mechanism of ARGs in the egg and adult phases of Tetramorium caespitum. Experimental results showed a remarkable difference in both gut microbiota and gut resistome with the development of T. caespitum. Meta-based metagenomic results of gut microbiota indicated the generalizability of gut antibiotic resistome dynamics during host development. By using Raman spectroscopy and metabolomics, the metabolic phenotype and metabolites indicated that the biotic phase significantly changed lipid metabolism as T. caespitum aged. Lipid metabolites were demonstrated as the main factor driving the enrichment of ARGs in T. caespitum. Cuminaldehyde, the antibacterial lipid metabolite that displayed a remarkable increase in the adult phase, was demonstrated to strongly induce ARG abundance. Our findings show that the gut resistome is host developmental stage-dependent and likely modulated by metabolites, offering novel insights into possible steps to reduce ARG dissemination in the soil food chain.
Collapse
Affiliation(s)
- Ming-Kang Jin
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China
| | - Qi Zhang
- College of Environment, Zhejiang University of Technology, Hangzhou 310032, China
| | - Nuohan Xu
- College of Environment, Zhejiang University of Technology, Hangzhou 310032, China
| | - Zhenyan Zhang
- College of Environment, Zhejiang University of Technology, Hangzhou 310032, China
| | - Hong-Qin Guo
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China
| | - Jian Li
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China
| | - Kai Ding
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China
| | - Xin Sun
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China
| | - Xiao-Ru Yang
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China
| | - Dong Zhu
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China
| | - Xiaoxuan Su
- Interdisciplinary Research Center for Agriculture Green Development in Yangtze River Basin, Southwest University, Chongqing 400715, China
- College of Resources and Environment, Southwest University, Chongqing 400715, China
| | - Haifeng Qian
- College of Environment, Zhejiang University of Technology, Hangzhou 310032, China
| | - Yong-Guan Zhu
- Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Zhejiang Key Laboratory of Urban Environmental Processes and Pollution Control, CAS Haixi Industrial Technology Innovation Center in Beilun, Ningbo 315830, China
- State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| |
Collapse
|
5
|
Mani K, Vitenberg T, Khatib S, Opatovsky I. Effect of entomopathogenic fungus Beauveria bassiana on the growth characteristics and metabolism of black soldier fly larvae. PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY 2023; 197:105684. [PMID: 38072541 DOI: 10.1016/j.pestbp.2023.105684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/02/2023] [Accepted: 11/03/2023] [Indexed: 12/18/2023]
Abstract
Beauveria bassiana is an entomopathogenic fungus widely used in agriculture to reduce populations of various pests. However, when agricultural waste is utilized for organic recycling, B. bassiana has the potential to impact recycling performance, by affecting the survival, and body mass of decomposing organisms (such as insect's larvae). Additionally, in natural conditions where decayed organic matter contains a high load of different entomopathogenic organisms, larval growth may be affected when consumed or in contact. In a laboratory study, we aimed to comprehend the effects of B. bassiana on the growth characteristics and larval metabolism of the black soldier fly larvae, which is a known decomposing insect. The experiments used both feeding (mixing the spores with the diet, hereafter BF) and contact treatments (by dipping the larva in the spores solution, hereafter BD), and were compared to a water-treated control group. The BF treatment significantly reduced larval body weight, adult emergence, and adult weight compared to both the control and the BD treatment. Furthermore, an analysis of hemolymph metabolites, categorized by class, indicated a higher accumulation of metabolites belonging to the purine and purine derivative classes, as well as carboxylic acids and their derivatives, including peptides and oligopeptides, indicating potential disruption of protein synthesis or degradation caused by the BF treatment. Pathway enrichment analysis showed significant alterations in purine metabolism and D-Arginine and D-ornithine metabolism compared to the control. Taurine and hypotaurine metabolism were significantly altered in the BD treatment compared to the control but not significantly enriched in the BF treatment. Our results suggest that the BF treatment impairs protein synthesis or degradation, affecting larval growth characteristics. Future studies should explore innate immunity-related gene expression and antimicrobial peptide production in BSF larvae to understand their immunity to pathogens.
Collapse
Affiliation(s)
- Kannan Mani
- Department of Nutrition and Natural Products, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel; Department of Animal Science, Faculty of Sciences and Technology, Tel-Hai Academic College, Upper Galilee, Israel
| | - Tzach Vitenberg
- Department of Nutrition and Natural Products, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel
| | - Soliman Khatib
- Laboratory of Natural Compounds and Analytical Chemistry, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel; Tel-Hai Academic College, Upper Galilee, Israel
| | - Itai Opatovsky
- Department of Nutrition and Natural Products, MIGAL-Galilee Research Institute, Kiryat Shmona, Israel; Department of Animal Science, Faculty of Sciences and Technology, Tel-Hai Academic College, Upper Galilee, Israel.
| |
Collapse
|
6
|
Shao P, Sha Y, Liu X, He Y, Guo X, Hu J, Wang J, Li S, Zhu C, Chen G, Li W. Astragalus additive in feed improved serum immune function, rumen fermentation and the microbiota structure of early-weaned lambs. J Appl Microbiol 2023; 134:lxad278. [PMID: 37994654 DOI: 10.1093/jambio/lxad278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/07/2023] [Accepted: 11/21/2023] [Indexed: 11/24/2023]
Abstract
AIM The purpose of this study was to determine the mechanism of Astragalus activity on the immune function, rumen microbiota structure, and rumen fermentation of early-weaned lambs. METHODS AND RESULTS Thirty healthy early-weaned lambs with similar body weights (17.42 ± 2.02 kg) were selected for the feeding experiment. The control group (KB) was fed a basal diet, and the Astragalus group (HQ) was fed 0.3% Astragalus additive on the basis of a basic diet. The formal trial period was 60 days. The results showed that the concentrations of blood immunoglobulin A (IgA) and immunoglobulin M (IgM) in the HQ group were significantly higher than those in the KB group (P < 0.05). Compared with the KB group, the concentrations of acetic acid, butyric acid, and total volatile fatty acids (VFAs) in the HQ group were higher (P < 0.01). The expression levels of the rumen epithelial-related genes MCT1, MCT4, NHE2, and ZO1 in the Astragalus group were significantly higher than those in the KB group (P < 0.05). 16S rRNA analysis showed that at the phylum level, Bacteroidetes in the HQ group significantly increased (P < 0.01); at the genus level, Prevotella (P < 0.01) and Succiniclasticum (P < 0.01) in the HQ group were found at significantly higher abundances than those in the KB group, and the results of microbiota gene and function prediction showed that "energy metabolism," "glycan biosynthesis and metabolic" pathways were significantly enriched in the HQ group (P < 0.05). CONCLUSION As a feed additive, Astragalus can improve the immunity of early-weaned lambs, the structure of the rumen microbiota of lambs, and the fermentation capacity of the rumen.
Collapse
Affiliation(s)
- Pengyang Shao
- College of Animal Science and Technology, Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Yuzhu Sha
- College of Animal Science and Technology, Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Xiu Liu
- College of Animal Science and Technology, Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Yanyu He
- School of Fundamental Sciences, Massey University, Palmerston North 4410, New Zealand
| | - Xinyu Guo
- College of Animal Science and Technology, Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Jiang Hu
- College of Animal Science and Technology, Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Jiqing Wang
- College of Animal Science and Technology, Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Shaobin Li
- College of Animal Science and Technology, Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Caiye Zhu
- College of Animal Science and Technology, Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Guoshun Chen
- College of Animal Science and Technology, Gansu Key Laboratory of Herbivorous Animal Biotechnology, Gansu Agricultural University, Lanzhou 730070, China
| | - Wenhao Li
- Academy of Animal Science and Veterinary Medicine, Qinghai University, Xining 810000, China
| |
Collapse
|
7
|
Liu X, Yang M, Liu R, Zhou F, Zhu H, Wang X. The impact of Parkinson's disease-associated gut microbiota on the transcriptome in Drosophila. Microbiol Spectr 2023; 11:e0017623. [PMID: 37754772 PMCID: PMC10581176 DOI: 10.1128/spectrum.00176-23] [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: 01/13/2023] [Accepted: 08/08/2023] [Indexed: 09/28/2023] Open
Abstract
Parkinson's disease (PD) is a common neurodegenerative disease in middle-aged and elderly people, and many studies have confirmed that the disorder of gut microbiota is involved in the pathophysiological process of PD. However, the molecular mechanism of gut microbiota in regulating the pathogenesis of PD is still lacking. In this study, to investigate the impact of PD-associated gut microbiota on host transcriptome, we established various PD models with fecal microbiota transplantation (FMT) in the model organism Drosophila followed by integrative data analysis of microbiome and transcriptome. We first constructed rotenone-induced PD models in Drosophila followed by FMT in different groups. Microbial analysis by 16S rDNA sequencing showed that gut microbiota from PD Drosophila could affect bacterial structure of normal Drosophila, and gut microbiota from normal Drosophila could affect bacterial structure of PD Drosophila. Transcriptome analysis revealed that PD-associated gut microbiota influenced expression patterns of genes enriched in neuroactive ligand-receptor interaction, lysosome, and diverse metabolic pathways. Importantly, to verify our findings, we transplanted Drosophila with fecal samples from clinical PD patients. Compared to the control, Drosophila transplanted with fecal samples from PD patients had reduced microbiota Acetobacter and Lactobacillus, and differentially expressed genes enriched in diverse metabolic pathways. In summary, our results reveal the influence of PD-associated gut microbiota on host gene expression, and this study can help better understand the link between gut microbiota and PD pathogenesis through gut-brain axis. IMPORTANCE Gut microbiota plays important roles in regulating host gene expression and physiology through complex mechanisms. Recently, it has been suggested that disorder of gut microbiota is involved in the pathophysiological process of Parkinson's disease (PD). However, the molecular mechanism of gut microbiota in regulating the pathogenesis of PD is still lacking. In this study, to investigate the impact of PD-associated gut microbiota on host transcriptome, we established various PD models with fecal microbiota transplantation in the model organism Drosophila followed by integrative data analysis of microbiome and transcriptome. We also verified our findings by transplanting Drosophila with fecal samples from clinical PD patients. Our results demonstrated that PD-associated gut microbiota can induce differentially expressed genes enriched in diverse metabolic pathways. This study can help better understand the link between gut microbiota and PD pathogenesis through gut-brain axis.
Collapse
Affiliation(s)
- Xin Liu
- South China Normal University-Panyu Central Hospital Joint Laboratory of Translational Medical Research, Guangzhou Panyu Central Hospital, Guangzhou, China
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Meng Yang
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Runzhou Liu
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Fan Zhou
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, South China Normal University, Guangzhou, China
| | - Haibing Zhu
- South China Normal University-Panyu Central Hospital Joint Laboratory of Translational Medical Research, Guangzhou Panyu Central Hospital, Guangzhou, China
- Department of Psychiatry, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Xiaoyun Wang
- South China Normal University-Panyu Central Hospital Joint Laboratory of Translational Medical Research, Guangzhou Panyu Central Hospital, Guangzhou, China
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, South China Normal University, Guangzhou, China
| |
Collapse
|
8
|
Chen H, Li S, Pan B, Liu K, Yu H, Ma C, Qi H, Zhang Y, Huang X, Ouyang D, Xie Z. Qing-Kai-Ling oral liquid alleviated pneumonia via regulation of intestinal flora and metabolites in rats. Front Microbiol 2023; 14:1194401. [PMID: 37362920 PMCID: PMC10288885 DOI: 10.3389/fmicb.2023.1194401] [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: 03/27/2023] [Accepted: 05/22/2023] [Indexed: 06/28/2023] Open
Abstract
Background Qing-Kai-Ling (QKL) oral liquid, evolving from a classical Chinese formula known as An-Gong-Niu-Huang pills, is a well-established treatment for pneumonia with its mechanism remaining muddled. Studies have shown that the regulation of both intestinal flora and host-microbiota co-metabolism may contribute to preventing and treating pneumonia. The study aimed to investigate the potential mechanism by which QKL alleviates pneumonia from the perspective of 'microbiota-metabolites-host' interaction. Methods We evaluated the therapeutic effects of QKL on lipopolysaccharide (LPS)-induced pneumonia rats. To explore the protective mechanism of QKL treatment, a multi-omics analysis that included 16S rDNA sequencing for disclosing the key intestinal flora, the fecal metabolome to discover the differential metabolites, and whole transcriptome sequencing of lung tissue to obtain the differentially expressed genes was carried out. Then, a Spearman correlation was employed to investigate the association between the intestinal flora, the fecal metabolome and inflammation-related indices. Results The study demonstrated that pneumonia symptoms were significantly attenuated in QKL-treated rats, including decreased TNF-α, NO levels and increased SOD level. Furthermore, QKL was effective in alleviating pneumonia and provided protection equivalent to that of the positive drug dexamethasone. Compared with the Model group, QKL treatment significantly increased the richness and αlpha diversity of intestinal flora, and restored multiple intestinal genera (e.g., Bifidobacterium, Ruminococcus_torques_group, Dorea, Mucispirillum, and Staphylococcus) that were correlated with inflammation-related indices. Interestingly, the intestinal flora demonstrated a strong correlation with several metabolites impacted by QKL. Furthermore, metabolome and transcriptome analyses showed that enrichment of several host-microbiota co-metabolites [arachidonic acid, 8,11,14-eicosatrienoic acid, LysoPC (20:0/0:0), LysoPA (18:0e/0:0), cholic acid, 7-ketodeoxycholic acid and 12-ketodeoxycholic acid] levels and varying lung gene (Pla2g2a, Pla2g5, Alox12e, Cyp4a8, Ccl19, and Ccl21) expression were observed in the QKL group. Moreover, these metabolites and genes were involved in arachidonic acid metabolism and inflammation-related pathways. Conclusion Our findings indicated that QKL could potentially modulate intestinal flora dysbiosis, improve host-microbiota co-metabolism dysregulation and regulate gene expression in the lungs, thereby mitigating LPS-induced pneumonia in rats. The study may provide new ideas for the clinical application and further development of QKL.
Collapse
Affiliation(s)
- Hongying Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Guangzhou Baiyunshan Mingxing Pharmaceutical Company Limited, Guangzhou, China
- Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Institute of Clinical Pharmacology, Central South University, Changsha, China
| | - Siju Li
- School of Pharmaceutical Sciences, Sun Yat-sen University, Shenzhen, China
| | - Biyan Pan
- Guangzhou Baiyunshan Mingxing Pharmaceutical Company Limited, Guangzhou, China
| | - Kun Liu
- School of Pharmaceutical Sciences, Sun Yat-sen University, Shenzhen, China
| | - Hansheng Yu
- School of Pharmaceutical Sciences, Sun Yat-sen University, Shenzhen, China
| | - Chong Ma
- School of Pharmaceutical Sciences, Sun Yat-sen University, Shenzhen, China
| | - Huiyuan Qi
- School of Pharmaceutical Sciences, Sun Yat-sen University, Shenzhen, China
| | - Yuefeng Zhang
- School of Pharmaceutical Sciences, Sun Yat-sen University, Shenzhen, China
| | - Xinyi Huang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
| | - Dongsheng Ouyang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Pharmacogenetics, Xiangya Hospital, Institute of Clinical Pharmacology, Central South University, Changsha, China
- Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha, China
| | - Zhiyong Xie
- School of Pharmaceutical Sciences, Sun Yat-sen University, Shenzhen, China
| |
Collapse
|
9
|
Rajarajan A, Wolinska J, Walser JC, Dennis SR, Spaak P. Host-Associated Bacterial Communities Vary Between Daphnia galeata Genotypes but Not by Host Genetic Distance. MICROBIAL ECOLOGY 2023; 85:1578-1589. [PMID: 35486140 PMCID: PMC10167167 DOI: 10.1007/s00248-022-02011-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 04/08/2022] [Indexed: 05/10/2023]
Abstract
Host genotype may shape host-associated bacterial communities (commonly referred to as microbiomes). We sought to determine (a) whether bacterial communities vary among host genotypes in the water flea Daphnia galeata and (b) if this difference is driven by the genetic distance between host genotypes, by using D. galeata genotypes hatched from sediments of different time periods. We used 16S amplicon sequencing to profile the gut and body bacterial communities of eight D. galeata genotypes hatched from resting eggs; these were isolated from two distinct sediment layers (dating to 1989 and 2009) of a single sediment core of the lake Greifensee, and maintained in a common garden in laboratory cultures for 5 years. In general, bacterial community composition varied in both the Daphnia guts and bodies; but not between genotypes from different sediment layers. Specifically, genetic distances between host genotypes did not correlate with beta diversity of bacterial communities in Daphnia guts and bodies. Our results indicate that Daphnia bacterial community structure is to some extent determined by a host genetic component, but that genetic distances between hosts do not correlate with diverging bacterial communities.
Collapse
Affiliation(s)
- Amruta Rajarajan
- Department of Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology (Eawag), Dübendorf, Switzerland.
| | - Justyna Wolinska
- Department of Evolutionary and Integrative Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
- Department of Biology, Chemistry, Pharmacy, Institut Für Biologie, Freie Universität Berlin (FU), Berlin, Germany
| | | | - Stuart R Dennis
- Department of Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology (Eawag), Dübendorf, Switzerland
| | - Piet Spaak
- Department of Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology (Eawag), Dübendorf, Switzerland
| |
Collapse
|
10
|
T-2 toxin-induced intestinal damage with dysregulation of metabolism, redox homeostasis, inflammation, and apoptosis in chicks. Arch Toxicol 2023; 97:805-817. [PMID: 36695871 DOI: 10.1007/s00204-023-03445-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/17/2023] [Indexed: 01/26/2023]
Abstract
T-2 toxin is a worldwide problem for feed and food safety, leading to livestock and human health risks. The objective of this study was to explore the mechanism of T-2 toxin-induced small intestine injury in broilers by integrating the advanced microbiomic, metabolomic and transcriptomic technologies. Four groups of 1-day-old male broilers (n = 4 cages/group, 6 birds/cage) were fed a control diet and control diet supplemented with T-2 toxin at 1.0, 3.0, and 6.0 mg/kg, respectively, for 2 weeks. Compared with the control, dietary T-2 toxin reduced feed intake, body weight gain, feed conversion ratio, and the apparent metabolic rates and induced histopathological lesions in the small intestine to varying degrees by different doses. Furthermore, the T-2 toxin decreased the activities of glutathione peroxidase, thioredoxin reductase and total antioxidant capacity but increased the concentrations of protein carbonyl and malondialdehyde in the duodenum in a dose-dependent manner. Moreover, the integrated microbiomic, metabolomic and transcriptomic analysis results revealed that the microbes, metabolites, and transcripts were primarily involved in the regulation of nucleotide and glycerophospholipid metabolism, redox homeostasis, inflammation, and apoptosis were related to the T-2 toxin-induced intestinal damage. In summary, the present study systematically elucidated the intestinal toxic mechanisms of T-2 toxin, which provides novel ideas to develop a detoxification strategy for T-2 toxin in animals.
Collapse
|
11
|
Shao M, Chen Y, Gong Q, Miao S, Li C, Sun Y, Qin D, Guo X, Yan X, Cheng P, Yu G. Biocontrol endophytes Bacillus subtilis R31 influence the quality, transcriptome and metabolome of sweet corn. PeerJ 2023; 11:e14967. [PMID: 36883062 PMCID: PMC9985898 DOI: 10.7717/peerj.14967] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/07/2023] [Indexed: 03/06/2023] Open
Abstract
During colonization of soil and plants, biocontrol bacteria can effectively regulate the physiological metabolism of plants and induce disease resistance. To illustrate the influence of Bacillus subtilis R31 on the quality, transcriptome and metabolome of sweet corn, field studies were conducted at a corn experimental base in Zhuhai City. The results show that, after application of B. subtilis R31, sweet corn was more fruitful, with a 18.3 cm ear length, 5.0 cm ear diameter, 0.4 bald head, 403.9 g fresh weight of single bud, 272.0 g net weight of single ear, and 16.5 kernels sweetness. Combined transcriptomic and metabolomic analyses indicate that differentially expressed genes related to plant-pathogen interactions, MAPK signaling pathway-plant, phenylpropanoid biosynthesis, and flavonoid biosynthesis were significantly enriched. Moreover, the 110 upregulated DAMs were mainly involved in the flavonoid biosynthesis and flavone and flavonol biosynthesis pathways. Our study provides a foundation for investigating the molecular mechanisms by which biocontrol bacteria enhance crop nutrition and taste through biological means or genetic engineering at the molecular level.
Collapse
Affiliation(s)
- Mingwei Shao
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guanghzou, China.,Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangdong, China
| | - Yanhong Chen
- Zhuhai Modern Agriculture Development Center, Zhuhai, China
| | - Qingyou Gong
- Zhuhai Modern Agriculture Development Center, Zhuhai, China
| | - Shuang Miao
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guanghzou, China.,Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangdong, China
| | - Chunji Li
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guanghzou, China.,Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangdong, China
| | - Yunhao Sun
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guanghzou, China.,Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangdong, China
| | - Di Qin
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guanghzou, China.,Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangdong, China
| | - Xiaojian Guo
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guanghzou, China.,Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangdong, China
| | - Xun Yan
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guanghzou, China.,Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangdong, China
| | - Ping Cheng
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guanghzou, China.,Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangdong, China
| | - Guohui Yu
- College of Agriculture and Biology, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Innovative Institute for Plant Health, Zhongkai University of Agriculture and Engineering, Guangzhou, China.,Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Guanghzou, China.,Guangdong University Key Laboratory for Sustainable Control of Fruit and Vegetable Diseases and Pests, Guangdong, China
| |
Collapse
|
12
|
Yang Y, Zhu X, Huang Y, Zhang H, Liu Y, Xu N, Fu G, Ai X. RNA-Seq and 16S rRNA Analysis Revealed the Effect of Deltamethrin on Channel Catfish in the Early Stage of Acute Exposure. Front Immunol 2022; 13:916100. [PMID: 35747138 PMCID: PMC9211022 DOI: 10.3389/fimmu.2022.916100] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/09/2022] [Indexed: 12/02/2022] Open
Abstract
Deltamethrin (Del) is a widely used pyrethroid insecticide and a dangerous material that has brought serious problems to the healthy breeding of aquatic animals. However, the toxicological mechanisms of Del on channel catfish remain unclear. In the present study, we exposed channel catfish to 0, 0.5, and 5 μg/L Del for 6 h, and analyzed the changes in histopathology, trunk kidney transcriptome, and intestinal microbiota composition. The pathological analyses showed that a high concentration of Del damaged the intestine and trunk kidney of channel catfish in the early stage. The transcriptome analysis detected 32 and 1837 differentially expressed genes (DEGs) in channel catfish trunk kidneys after exposure to 0.5 and 5 μg/L Del, respectively. Moreover, the KEGG pathway and GO enrichment analyses showed that the apoptosis signaling pathway was significantly enriched, and apoptosis-related DEGs, including cathepsin L, p53, Bax, and caspase-3, were also detected. These results suggested that apoptosis occurs in the trunk kidney of channel catfish in the early stage of acute exposure to Del. We also detected some DEGs and signaling pathways related to immunity and drug metabolism, indicating that early exposure to Del can lead to immunotoxicity and metabolic disorder of channel catfish, which increases the risk of pathogenic infections and energy metabolism disorders. Additionally, 16S rRNA gene sequencing showed that the composition of the intestinal microbiome significantly changed in channel catfish treated with Del. At the phylum level, the abundance of Firmicutes, Fusobacteria, and Actinobacteria significantly decreased in the early stage of Del exposure. At the genus level, the abundance of Romboutsia, Lactobacillus, and Cetobacterium decreased after Del exposure. Overall, early exposure to Del can lead to tissue damage, metabolic disorder, immunotoxicity, and apoptosis in channel catfish, and affect the composition of its intestinal microbiota. Herein, we clarified the toxic effects of Del on channel catfish in the early stage of exposure and explored why fish under Del stress are more vulnerable to microbial infections and slow growth.
Collapse
Affiliation(s)
- Yibin Yang
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, China
| | - Xia Zhu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, China
| | - Ying Huang
- Fishery Resource and Environment Research Center, Chinese Academy of Fishery Sciences, Beijing, China
| | - Hongyu Zhang
- Fishery Resource and Environment Research Center, Chinese Academy of Fishery Sciences, Beijing, China
| | - Yongtao Liu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, China
| | - Ning Xu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, China
| | - Guihong Fu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Xiaohui Ai
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, China
| |
Collapse
|
13
|
How Gut Microbes Nurture Intestinal Stem Cells: A Drosophila Perspective. Metabolites 2022; 12:metabo12020169. [PMID: 35208243 PMCID: PMC8878600 DOI: 10.3390/metabo12020169] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/07/2022] [Accepted: 02/08/2022] [Indexed: 11/16/2022] Open
Abstract
Host-microbiota interactions are key modulators of host physiology and behavior. Accumulating evidence suggests that the complex interplay between microbiota, diet and the intestine controls host health. Great emphasis has been given on how gut microbes have evolved to harvest energy from the diet to control energy balance, host metabolism and fitness. In addition, many metabolites essential for intestinal homeostasis are mainly derived from gut microbiota and can alleviate nutritional imbalances. However, due to the high complexity of the system, the molecular mechanisms that control host-microbiota mutualism, as well as whether and how microbiota affects host intestinal stem cells (ISCs) remain elusive. Drosophila encompasses a low complexity intestinal microbiome and has recently emerged as a system that might uncover evolutionarily conserved mechanisms of microbiota-derived nutrient ISC regulation. Here, we review recent studies using the Drosophila model that directly link microbiota-derived metabolites and ISC function. This research field provides exciting perspectives for putative future treatments of ISC-related diseases based on monitoring and manipulating intestinal microbiota.
Collapse
|
14
|
Chen Y, Zhou H, Lai Y, Chen Q, Yu XQ, Wang X. Gut Microbiota Dysbiosis Influences Metabolic Homeostasis in Spodoptera frugiperda. Front Microbiol 2021; 12:727434. [PMID: 34659154 PMCID: PMC8514726 DOI: 10.3389/fmicb.2021.727434] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 08/31/2021] [Indexed: 01/08/2023] Open
Abstract
Insect gut microbiota plays important roles in acquiring nutrition, preventing pathogens infection, modulating immune responses, and communicating with environment. Gut microbiota can be affected by external factors such as foods and antibiotics. Spodoptera frugiperda (Lepidoptera: Noctuidae) is an important destructive pest of grain crops worldwide. The function of gut microbiota in S. frugiperda remains to be investigated. In this study, we fed S. frugiperda larvae with artificial diet with antibiotic mixture (penicillin, gentamicin, rifampicin, and streptomycin) to perturb gut microbiota, and then examined the effect of gut microbiota dysbiosis on S. frugiperda gene expression by RNA sequencing. Firmicutes, Proteobacteria, Bacteroidetes, and Actinobacteria were the most dominant phyla in S. frugiperda. We found that the composition and diversity of gut bacterial community were changed in S. frugiperda after antibiotics treatment. Firmicutes was decreased, and abundance of Enterococcus and Weissella genera was dramatically reduced. Transcriptome analysis showed that 1,394 differentially expressed transcripts (DETs) were found between the control and antibiotics-treated group. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) results showed that antibiotics-induced dysbiosis affected many biological processes, such as energy production, metabolism, and the autophagy–lysosome signal pathway. Our results indicated that dysbiosis of gut microbiota by antibiotics exposure affects energy and metabolic homeostasis in S. frugiperda, which help better understand the role of gut microbiota in insects.
Collapse
Affiliation(s)
- Yaqing Chen
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, Institute of Insect Science and Technology, South China Normal University, Guangzhou, China
| | - Huanchan Zhou
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, Institute of Insect Science and Technology, South China Normal University, Guangzhou, China
| | - Yushan Lai
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, Institute of Insect Science and Technology, South China Normal University, Guangzhou, China
| | - Qi Chen
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, Institute of Insect Science and Technology, South China Normal University, Guangzhou, China
| | - Xiao-Qiang Yu
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, Institute of Insect Science and Technology, South China Normal University, Guangzhou, China
| | - Xiaoyun Wang
- Guangdong Provincial Key Laboratory of Insect Developmental Biology and Applied Technology, School of Life Sciences, Institute of Insect Science and Technology, South China Normal University, Guangzhou, China
| |
Collapse
|