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Li Y, Yu H, Xiong L, Zeng K, Wei Y, Li H, Ji X. Diversity and function of viral AMGs associated with DNA biosynthesis in the Napahai plateau wetland. ENVIRONMENTAL TECHNOLOGY 2023:1-15. [PMID: 38126212 DOI: 10.1080/09593330.2023.2296531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023]
Abstract
Viruses play an important role in microbial community structure and biodiversity by lysing host cells, and can also affect host metabolic pathways by expressing auxiliary metabolic genes (AMGs). As a unique low-latitude, high-altitude seasonal plateau wetland in China, Napahai has high research value. However, studies on the genetic diversity of AMGs and viruses associated with DNA biosynthesis have not been reported. Based on metagenomics, with the phylogenetic tree, PCoA, and α diversity analysis, we found that three DNA biosynthesis-related viral AMGs (cobS, mazG, and purM) in the Napahai plateau wetland were rich in genetic diversity, uniqueness, and differences compared with other habitats and host sources. Through the KEGG metabolic pathway and metabolic flow analysis of Pseudomonas mandelii (SW-3) and phage (VSW-3), the AMGs (cobS, mazG, and purM) genes of the three related viruses involved in DNA biosynthesis were upregulated and their expression increased significantly. In general, we systematically described the genetic diversity of AMGs associated with DNA biosynthesis in plateau wetland ecosystems and clarified the contribution of viral AMGs in the Napahai plateau wetland to DNA biosynthesis, as well as the changes of metabolites and genes. It further expands the understanding of phage-host interactions, which is of great significance for further revealing the role of viral AMGs in the biological evolution and biogeochemical cycle of wetland ecosystems.
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Affiliation(s)
- Yanmei Li
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, People's Republic of China
| | - Hang Yu
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, People's Republic of China
| | - Lingling Xiong
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, People's Republic of China
| | - Kun Zeng
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, People's Republic of China
| | - Yunlin Wei
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, People's Republic of China
| | - Haiyan Li
- Medical School, Kunming University of Science and Technology, Kunming, People's Republic of China
| | - Xiuling Ji
- Medical School, Kunming University of Science and Technology, Kunming, People's Republic of China
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Efficient System Wide Metabolic Pathway Comparisons in Multiple Microbes Using Genome to KEGG Orthology (G2KO) Pipeline Tool. Interdiscip Sci 2020; 12:311-322. [PMID: 32632821 DOI: 10.1007/s12539-020-00375-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 05/17/2020] [Accepted: 05/25/2020] [Indexed: 12/29/2022]
Abstract
Comparison of system-wide metabolic pathways among microbes provides valuable insights of organisms' metabolic capabilities that can further assist in rationally screening organisms in silico for various applications. In this work, we present a much needed, efficient and user-friendly Genome to KEGG Orthology (G2KO) pipeline tool that facilitates efficient comparison of system wide metabolic networks of multiple organisms simultaneously. The optimized strategy primarily involves automatic retrieval of the KEGG Orthology (KO) identifiers of user defined organisms from the KEGG database followed by overlaying and visualization of the metabolic genes using the KEGG Mapper reconstruct pathway tool. We demonstrate the applicability of G2KO via two case studies in which we processed 24,314 genes across 15 organisms, mapped on to 530 reference pathways in KEGG, while focusing on pathways of interest. First, an in-silico designing of synthetic microbial consortia towards bioprocessing of cellulose to valuable products by comparing the cellulose degradation and fermentative pathways of microbes was undertaken. Second, we comprehensively compared the amino acid biosynthetic pathways of multiple microbes and demonstrated the potential of G2KO as an efficient tool for metabolic studies. We envisage the tool will find immensely useful to the metabolic engineers as well as systems biologists. The tool's web-server, along with tutorial is publicly available at https://faculty.iitmandi.ac.in/~shyam/tools/g2ko/g2ko.cgi . Also, standalone tool can be downloaded freely from https://sourceforge.net/projects/g2ko/ , and from the supplementary.
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Lyu Y, Wu J, Shi Y. Metabolic and physiological perturbations of Escherichia coli W3100 by bacterial small RNA RyhB. Biochimie 2019; 162:144-155. [PMID: 31002843 DOI: 10.1016/j.biochi.2019.04.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2018] [Accepted: 04/12/2019] [Indexed: 11/17/2022]
Abstract
RyhB is a key regulator of iron level in Escherichia coli (E. coli), which assists in conserving iron for life-sustaining cellular functions when cytoplasmic levels of the ferrous form of iron is limited. RyhB affects glucose metabolism. Seventy percent of the genes that are regulated by RyhB are related to metabolism. We demonstrated for the first time that the activity of the pentose phosphate pathway increased upon ryhB activation using a13C stable isotope-based technique called METAFoR (Metabolic flux ratio analysis). U-13C glucose-based studies showed that the reversible exchange activity of serine and glycine was enhanced by flux redistribution, which further favors NADPH formation. In addition, Entner-Doudoroff (ED) pathway activity was inhibited in the ryhB-defective cells. Quantitative physiology-based experiments highlighted a significant increase in the levels of reactive oxygen species (ROS) in ryhB-induced W3100 E. coli cells in batch culture. A simultaneous decrease in NADH/NAD+ and NADPH/NADP+ ratios outlined the potentially direct roles of NADH and NADPH in antagonizing the excess ROS formed after ryhB activation. Our observations offer a new perspective regarding the roles of RyhB and highlight that this small RNA can significantly affect cell metabolism in addition to its role as a regulator of gene expression.
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Affiliation(s)
- Yu Lyu
- Hefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, Hefei, 230027, People's Republic of China
| | - Jihui Wu
- Hefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, Hefei, 230027, People's Republic of China.
| | - Yunyu Shi
- Hefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, Hefei, 230027, People's Republic of China.
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Cao B, Wang D, Brietzke E, McIntyre RS, Pan Z, Cha D, Rosenblat JD, Zuckerman H, Liu Y, Xie Q, Wang J. Characterizing amino-acid biosignatures amongst individuals with schizophrenia: a case-control study. Amino Acids 2018; 50:1013-1023. [PMID: 29796929 DOI: 10.1007/s00726-018-2579-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 04/27/2018] [Indexed: 01/25/2023]
Abstract
Amino acids and derivatives participate in the biosynthesis and downstream effects of numerous neurotransmitters. Variations in specific amino acids have been implicated in the pathophysiology of schizophrenia. Herein, we sought to compare levels of amino acids and derivatives between subjects with schizophrenia and healthy controls (HC). Two hundred and eight subjects with Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria (DSM-IV)-defined schizophrenia and 175 age- and sex-matched HC were enrolled. The levels of twenty-five amino acids and seven related derivatives were measured in plasma samples using hydrophilic interaction liquid chromatography (HILIC) liquid chromatography-tandem mass spectrometry (LC-MS). After controlling for age, sex and body mass index (BMI), four amino acids and derivatives (i.e., cysteine, GABA, glutamine and sarcosine) were observed to be higher in the schizophrenia group when compared with HC; seven amino acids and derivatives were lower in the schizophrenia group (i.e., arginine, L-ornithine, threonine, taurine, tryptophan, methylcysteine, and kynurenine). Statistically significant differences in plasma amino-acid profiles between subjects with first-episode vs. recurrent schizophrenia for aspartate and glutamine were also demonstrated using generalized linear models controlling for age, sex, and BMI. The differences in amino acids and derivatives among individuals with schizophrenia when compared to HC may represent underlying pathophysiology, including but not limited to dysfunctional proteinogenic processes, alterations in excitatory and inhibitory neurotransmission, changes in ammonia metabolism and the urea cycle. Taken together, amino-acid profiling may provide a novel stratification approach among individuals with schizophrenia.
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Affiliation(s)
- Bing Cao
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, 38 Xue-Yuan Road, Haidian District, Beijing, 100191, People's Republic of China
| | - Dongfang Wang
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, 38 Xue-Yuan Road, Haidian District, Beijing, 100191, People's Republic of China
| | - Elisa Brietzke
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, ON, Canada.,Department of Psychiatry, Federal University of São Paulo, São Paulo, SP, Brazil
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, ON, Canada.,Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Zihang Pan
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Danielle Cha
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, ON, Canada.,Faculty of Medicine, School of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Joshua D Rosenblat
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Hannah Zuckerman
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Yaqiong Liu
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, 38 Xue-Yuan Road, Haidian District, Beijing, 100191, People's Republic of China.,Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing, 100191, People's Republic of China.,Peking University Medical and Health Analysis Center, Peking University, Beijing, 100191, People's Republic of China
| | - Qing Xie
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, 38 Xue-Yuan Road, Haidian District, Beijing, 100191, People's Republic of China.,Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing, 100191, People's Republic of China.,Peking University Medical and Health Analysis Center, Peking University, Beijing, 100191, People's Republic of China
| | - Jingyu Wang
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, 38 Xue-Yuan Road, Haidian District, Beijing, 100191, People's Republic of China. .,Beijing Key Laboratory of Toxicological Research and Risk Assessment for Food Safety, Beijing, 100191, People's Republic of China. .,Peking University Medical and Health Analysis Center, Peking University, Beijing, 100191, People's Republic of China.
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