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Jiao J, Lv X, Shen C, Morigen M. Genome and transcriptomic analysis of the adaptation of Escherichia coli to environmental stresses. Comput Struct Biotechnol J 2024; 23:2132-2140. [PMID: 38817967 PMCID: PMC11137339 DOI: 10.1016/j.csbj.2024.05.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 05/05/2024] [Accepted: 05/17/2024] [Indexed: 06/01/2024] Open
Abstract
In natural niches, bacteria are forced to spend most of their lives under various environmental stresses, such as nutrient limitation, heavy metal pollution, heat and antibiotic stress. To cope with adverse environments, bacterial genome can during the life cycle, produce potential adaptive mutants. The genomic changes, especially mutations, in the genes that encode RNA polymerase and transcription factors, might lead to variations in the transcriptome. These variations enable bacteria to cope with environmental stresses through physiological adaptation in response to stress. This paper reviews the recent contributions of genomic and transcriptomic analyses in understanding the adaption mechanism of Escherichia coli to environmental stresses. Various genomic changes have been observed in E. coli strains in laboratory or under natural stresses, including starvation, heavy metals, acidic conditions, heat shock and antibiotics. The mutations include slight changes (one to several nucleotides), deletions, insertions, chromosomal rearrangements and variations in copy numbers. The transcriptome of E. coli largely changes due to genomic mutations. However, the transcriptional profiles vary due to variations in stress selections. Cellular adaptation to the selections is associated with transcriptional changes resulting from genomic mutations. Changes in genome and transcriptome are cooperative and jointly affect the adaptation of E. coli to different environments. This comprehensive review reveals that coordination of genome mutations and transcriptional variations needs to be explored further to provide a better understanding of the mechanisms of bacterial adaptation to stresses.
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Affiliation(s)
- Jianlu Jiao
- State Key Laboratory of Reproductive Regulation & Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, China
| | - Xiaoli Lv
- Inner Mongolia Key Laboratory for Molecular Regulation of the Cell, School of Life Sciences, Inner Mongolia University, Hohhot, China
| | - Chongjie Shen
- State Key Laboratory of Reproductive Regulation & Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, China
| | - Morigen Morigen
- State Key Laboratory of Reproductive Regulation & Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, China
- Inner Mongolia Key Laboratory for Molecular Regulation of the Cell, School of Life Sciences, Inner Mongolia University, Hohhot, China
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2
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Singh S, Gola C, Singh B, Agrawal V, Chaba R. D-galactonate metabolism in enteric bacteria: a molecular and physiological perspective. Curr Opin Microbiol 2024; 81:102524. [PMID: 39137493 DOI: 10.1016/j.mib.2024.102524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Revised: 07/31/2024] [Accepted: 07/31/2024] [Indexed: 08/15/2024]
Abstract
D-galactonate, a widely prevalent sugar acid, was first reported as a nutrient source for enteric bacteria in the 1970s. Since then, decades of research enabled a description of the modified Entner-Doudoroff pathway involved in its degradation and reported the structural and biochemical features of its metabolic enzymes, primarily in Escherichia coli K-12. However, only in the last few years, the D-galactonate transporter has been characterized, and the regulation of the dgo operon, encoding the structural genes for the transporter and enzymes of D-galactonate metabolism, has been detailed. Notably, in recent years, multiple evolutionary studies have identified the dgo operon as a dominant target for adaptation of E. coli in the mammalian gut. Despite considerable research on dgo operon, numerous fundamental questions remain to be addressed. The emerging relevance of the dgo operon in host-bacterial interactions further necessitates the study of D-galactonate metabolism in other enterobacterial strains.
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Affiliation(s)
- Swati Singh
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Mohali, SAS Nagar, Punjab 140306, India
| | - Chetna Gola
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Mohali, SAS Nagar, Punjab 140306, India
| | - Bhupinder Singh
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Mohali, SAS Nagar, Punjab 140306, India
| | - Vishal Agrawal
- Amity School of Biological Sciences, Amity University Punjab, Mohali, SAS Nagar, Punjab 140306, India
| | - Rachna Chaba
- Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Mohali, SAS Nagar, Punjab 140306, India.
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3
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Enav H, Paz I, Ley RE. Strain tracking in complex microbiomes using synteny analysis reveals per-species modes of evolution. Nat Biotechnol 2024:10.1038/s41587-024-02276-2. [PMID: 38898177 DOI: 10.1038/s41587-024-02276-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 05/10/2024] [Indexed: 06/21/2024]
Abstract
Microbial species diversify into strains through single-nucleotide mutations and structural changes, such as recombination, insertions and deletions. Most strain-comparison methods quantify differences in single-nucleotide polymorphisms (SNPs) and are insensitive to structural changes. However, recombination is an important driver of phenotypic diversification in many species, including human pathogens. We introduce SynTracker, a tool that compares microbial strains using genome synteny-the order of sequence blocks in homologous genomic regions-in pairs of metagenomic assemblies or genomes. Genome synteny is a rich source of genomic information untapped by current strain-comparison tools. SynTracker has low sensitivity to SNPs, has no database requirement and is robust to sequencing errors. It outperforms existing tools when tracking strains in metagenomic data and is particularly suited for phages, plasmids and other low-data contexts. Applied to single-species datasets and human gut metagenomes, SynTracker, combined with an SNP-based tool, detects strains enriched in either point mutations or structural changes, providing insights into microbial evolution in situ.
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Affiliation(s)
- Hagay Enav
- Department of Microbiome Science, Max Planck Institute for Biology, Tübingen, Germany
| | - Inbal Paz
- Department of Microbiome Science, Max Planck Institute for Biology, Tübingen, Germany
| | - Ruth E Ley
- Department of Microbiome Science, Max Planck Institute for Biology, Tübingen, Germany.
- Cluster of Excellence EXC 2124: Controlling Microbes to Fight Infections (CMFI), University of Tübingen, Tübingen, Germany.
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4
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Fulghum B, Tanker SH, White RA. DeGenPrime provides robust primer design and optimization unlocking the biosphere. BIOINFORMATICS ADVANCES 2024; 4:vbae044. [PMID: 38590916 PMCID: PMC11001487 DOI: 10.1093/bioadv/vbae044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/19/2024] [Accepted: 03/12/2024] [Indexed: 04/10/2024]
Abstract
Motivation Polymerase chain reaction (PCR) is the world's most important molecular diagnostic with applications ranging from medicine to ecology. PCR can fail because of poor primer design. The nearest-neighbor thermodynamic properties, picking conserved regions, and filtration via penalty of oligonucleotides form the basis for good primer design. Results DeGenPrime is a console-based high-quality PCR primer design tool that can utilize MSA formats and degenerate bases expanding the target range for a single primer set. Our software utilizes thermodynamic properties, filtration metrics, penalty scoring, and conserved region finding of any proposed primer. It has degeneracy, repeated k-mers, relative GC content, and temperature range filters. Minimal penalty scoring is included according to secondary structure self-dimerization metrics, GC clamping, tri- and tetra-loop hairpins, and internal repetition. We compared PrimerDesign-M, DegePrime, ConsensusPrimer, and DeGenPrime on acceptable primer yield. PrimerDesign-M, DegePrime, and ConsensusPrimer provided 0%, 11%, and 17% yield, respectively, for the alternative iron nitrogenase (anfD) gene target. DeGenPrime successfully identified quality primers within the conserved regions of the T4-like phage major capsid protein (g23), conserved regions of molybdenum-based nitrogenase (nif), and its alternatives vanadium (vnf) and iron (anf) nitrogenase. DeGenPrime provides a universal and scalable primer design tool for the entire tree of life. Availability and implementation DeGenPrime is written in C++ and distributed under a BSD-3-Clause license. The source code for DeGenPrime is freely available on www.github.com/raw-lab/degenprime.
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Affiliation(s)
- Bryan Fulghum
- Department of Bioinformatics and Genomics, North Carolina Research Campus (NCRC), The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States
- Department of Bioinformatics and Genomics, Computational Intelligence to Predict Health and Environmental Risks (CIPHER) Research Center, The University of North Carolina at Charlotte, Charlotte, NC 28223, United States
| | - Sophie H Tanker
- Department of Bioinformatics and Genomics, North Carolina Research Campus (NCRC), The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States
- Department of Bioinformatics and Genomics, Computational Intelligence to Predict Health and Environmental Risks (CIPHER) Research Center, The University of North Carolina at Charlotte, Charlotte, NC 28223, United States
| | - Richard Allen White
- Department of Bioinformatics and Genomics, North Carolina Research Campus (NCRC), The University of North Carolina at Charlotte, Kannapolis, NC 28081, United States
- Department of Bioinformatics and Genomics, Computational Intelligence to Predict Health and Environmental Risks (CIPHER) Research Center, The University of North Carolina at Charlotte, Charlotte, NC 28223, United States
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5
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Abstract
A massive number of microorganisms, belonging to different species, continuously divide inside the guts of animals and humans. The large size of these communities and their rapid division times imply that we should be able to watch microbial evolution in the gut in real time, in a similar manner to what has been done in vitro. Here, we review recent findings on how natural selection shapes intrahost evolution (also known as within-host evolution), with a focus on the intestines of mice and humans. The microbiota of a healthy host is not as static as initially thought from the information measured at only one genomic marker. Rather, the genomes of each gut-colonizing species can be highly dynamic, and such dynamism seems to be related to the microbiota species diversity. Genetic and bioinformatic tools, and analysis of time series data, allow quantification of the selection strength on emerging mutations and horizontal transfer events in gut ecosystems. The drivers and functional consequences of gut evolution can now begin to be grasped. The rules of this intrahost microbiota evolution, and how they depend on the biology of each species, need to be understood for more effective development of microbiota therapies to help maintain or restore host health.
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Affiliation(s)
| | - Isabel Gordo
- Instituto Gulbenkian de Ciência, Oeiras, Portugal.
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Lobinska G, Pilpel Y, Ram Y. Phenotype switching of the mutation rate facilitates adaptive evolution. Genetics 2023; 225:iyad111. [PMID: 37293818 PMCID: PMC10471227 DOI: 10.1093/genetics/iyad111] [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: 02/05/2023] [Revised: 02/05/2023] [Accepted: 05/25/2023] [Indexed: 06/10/2023] Open
Abstract
The mutation rate plays an important role in adaptive evolution. It can be modified by mutator and anti-mutator alleles. Recent empirical evidence hints that the mutation rate may vary among genetically identical individuals: evidence from bacteria suggests that the mutation rate can be affected by expression noise of a DNA repair protein and potentially also by translation errors in various proteins. Importantly, this non-genetic variation may be heritable via a transgenerational epigenetic mode of inheritance, giving rise to a mutator phenotype that is independent from mutator alleles. Here, we investigate mathematically how the rate of adaptive evolution is affected by the rate of mutation rate phenotype switching. We model an asexual population with two mutation rate phenotypes, non-mutator and mutator. An offspring may switch from its parental phenotype to the other phenotype. We find that switching rates that correspond to so-far empirically described non-genetic systems of inheritance of the mutation rate lead to higher rates of adaptation on both artificial and natural fitness landscapes. These switching rates can maintain within the same individuals both a mutator phenotype and intermediary mutations, a combination that facilitates adaptation. Moreover, non-genetic inheritance increases the proportion of mutators in the population, which in turn increases the probability of hitchhiking of the mutator phenotype with adaptive mutations. This in turns facilitates the acquisition of additional adaptive mutations. Our results rationalize recently observed noise in the expression of proteins that affect the mutation rate and suggest that non-genetic inheritance of this phenotype may facilitate evolutionary adaptive processes.
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Affiliation(s)
- Gabriela Lobinska
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Yitzhak Pilpel
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Yoav Ram
- School of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv 6997801, Israel
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7
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Frazão N, Gordo I. Ecotype formation and prophage domestication during gut bacterial evolution. Bioessays 2023; 45:e2300063. [PMID: 37353919 DOI: 10.1002/bies.202300063] [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: 04/12/2023] [Revised: 05/11/2023] [Accepted: 05/12/2023] [Indexed: 06/25/2023]
Abstract
How much bacterial evolution occurs in our intestines and which factors control it are currently burning questions. The formation of new ecotypes, some of which capable of coexisting for long periods of time, is highly likely in our guts. Horizontal gene transfer driven by temperate phages that can perform lysogeny is also widespread in mammalian intestines. Yet, the roles of mutation and especially lysogeny as key drivers of gut bacterial adaptation remain poorly understood. The mammalian gut contains hundreds of bacterial species, each with many strains and ecotypes, whose abundance varies along the lifetime of a host. A continuous high input of mutations and horizontal gene transfer events mediated by temperate phages drives that diversity. Future experiments to study the interaction between mutations that cause adaptation in microbiomes and lysogenic events with different costs and benefits will be key to understand the dynamic microbiomes of mammals. Also see the video abstract here: https://youtu.be/Zjqsiyb5Pk0.
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Affiliation(s)
| | - Isabel Gordo
- Instituto Gulbenkian de Ciência, Oeiras, Portugal
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8
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Münch PC, Eberl C, Woelfel S, Ring D, Fritz A, Herp S, Lade I, Geffers R, Franzosa EA, Huttenhower C, McHardy AC, Stecher B. Pulsed antibiotic treatments of gnotobiotic mice manifest in complex bacterial community dynamics and resistance effects. Cell Host Microbe 2023; 31:1007-1020.e4. [PMID: 37279755 DOI: 10.1016/j.chom.2023.05.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 03/11/2023] [Accepted: 05/11/2023] [Indexed: 06/08/2023]
Abstract
Bacteria can evolve to withstand a wide range of antibiotics (ABs) by using various resistance mechanisms. How ABs affect the ecology of the gut microbiome is still poorly understood. We investigated strain-specific responses and evolution during repeated AB perturbations by three clinically relevant ABs, using gnotobiotic mice colonized with a synthetic bacterial community (oligo-mouse-microbiota). Over 80 days, we observed resilience effects at the strain and community levels, and we found that they were correlated with modulations of the estimated growth rate and levels of prophage induction as determined from metagenomics data. Moreover, we tracked mutational changes in the bacterial populations, and this uncovered clonal expansion and contraction of haplotypes and selection of putative AB resistance-conferring SNPs. We functionally verified these mutations via reisolation of clones with increased minimum inhibitory concentration (MIC) of ciprofloxacin and tetracycline from evolved communities. This demonstrates that host-associated microbial communities employ various mechanisms to respond to selective pressures that maintain community stability.
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Affiliation(s)
- Philipp C Münch
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig 38124, Germany; Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig 38124, Germany; Max von Pettenkofer-Institute for Hygiene and Clinical Microbiology, Ludwig-Maximilian University of Munich, 80336 Munich, Germany; Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA; Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany
| | - Claudia Eberl
- Max von Pettenkofer-Institute for Hygiene and Clinical Microbiology, Ludwig-Maximilian University of Munich, 80336 Munich, Germany
| | - Simon Woelfel
- Max von Pettenkofer-Institute for Hygiene and Clinical Microbiology, Ludwig-Maximilian University of Munich, 80336 Munich, Germany
| | - Diana Ring
- Max von Pettenkofer-Institute for Hygiene and Clinical Microbiology, Ludwig-Maximilian University of Munich, 80336 Munich, Germany
| | - Adrian Fritz
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig 38124, Germany; Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig 38124, Germany
| | - Simone Herp
- Max von Pettenkofer-Institute for Hygiene and Clinical Microbiology, Ludwig-Maximilian University of Munich, 80336 Munich, Germany
| | - Iris Lade
- Max von Pettenkofer-Institute for Hygiene and Clinical Microbiology, Ludwig-Maximilian University of Munich, 80336 Munich, Germany
| | - Robert Geffers
- Genome Analytics, Helmholtz Center for Infection Research, 38124 Braunschweig, Germany
| | - Eric A Franzosa
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA; Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Alice C McHardy
- Computational Biology of Infection Research, Helmholtz Centre for Infection Research, Braunschweig 38124, Germany; Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, Braunschweig 38124, Germany; Cluster of Excellence RESIST (EXC 2155), Hannover Medical School, Hannover, Germany.
| | - Bärbel Stecher
- Max von Pettenkofer-Institute for Hygiene and Clinical Microbiology, Ludwig-Maximilian University of Munich, 80336 Munich, Germany; German Center for Infection Research, Partner site LMU Munich, Munich, Germany.
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9
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Gifford DR, Berríos-Caro E, Joerres C, Suñé M, Forsyth JH, Bhattacharyya A, Galla T, Knight CG. Mutators can drive the evolution of multi-resistance to antibiotics. PLoS Genet 2023; 19:e1010791. [PMID: 37311005 DOI: 10.1371/journal.pgen.1010791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 05/18/2023] [Indexed: 06/15/2023] Open
Abstract
Antibiotic combination therapies are an approach used to counter the evolution of resistance; their purported benefit is they can stop the successive emergence of independent resistance mutations in the same genome. Here, we show that bacterial populations with 'mutators', organisms with defects in DNA repair, readily evolve resistance to combination antibiotic treatment when there is a delay in reaching inhibitory concentrations of antibiotic-under conditions where purely wild-type populations cannot. In populations of Escherichia coli subjected to combination treatment, we detected a diverse array of acquired mutations, including multiple alleles in the canonical targets of resistance for the two drugs, as well as mutations in multi-drug efflux pumps and genes involved in DNA replication and repair. Unexpectedly, mutators not only allowed multi-resistance to evolve under combination treatment where it was favoured, but also under single-drug treatments. Using simulations, we show that the increase in mutation rate of the two canonical resistance targets is sufficient to permit multi-resistance evolution in both single-drug and combination treatments. Under both conditions, the mutator allele swept to fixation through hitch-hiking with single-drug resistance, enabling subsequent resistance mutations to emerge. Ultimately, our results suggest that mutators may hinder the utility of combination therapy when mutators are present. Additionally, by raising the rates of genetic mutation, selection for multi-resistance may have the unwanted side-effect of increasing the potential to evolve resistance to future antibiotic treatments.
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Affiliation(s)
- Danna R Gifford
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
- Department of Earth and Environmental Sciences, School of Natural Sciences, Faculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom
| | - Ernesto Berríos-Caro
- Department of Physics and Astronomy, School of Natural Sciences, Faculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom
- Department of Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Plön, Germany
- Department of Evolutionary Ecology and Genetics, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Christine Joerres
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Marc Suñé
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Jessica H Forsyth
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Anish Bhattacharyya
- Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Tobias Galla
- Department of Physics and Astronomy, School of Natural Sciences, Faculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom
- Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (CSIC-UIB), Campus Universitat Illes Balears, Palma de Mallorca, Spain
| | - Christopher G Knight
- Department of Earth and Environmental Sciences, School of Natural Sciences, Faculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom
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10
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Moura de Sousa J, Lourenço M, Gordo I. Horizontal gene transfer among host-associated microbes. Cell Host Microbe 2023; 31:513-527. [PMID: 37054673 DOI: 10.1016/j.chom.2023.03.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
Horizontal gene transfer is an important evolutionary force, facilitating bacterial diversity. It is thought to be pervasive in host-associated microbiomes, where bacterial densities are high and mobile elements are frequent. These genetic exchanges are also key for the rapid dissemination of antibiotic resistance. Here, we review recent studies that have greatly extended our knowledge of the mechanisms underlying horizontal gene transfer, the ecological complexities of a network of interactions involving bacteria and their mobile elements, and the effect of host physiology on the rates of genetic exchanges. Furthermore, we discuss other, fundamental challenges in detecting and quantifying genetic exchanges in vivo, and how studies have contributed to start overcoming these challenges. We highlight the importance of integrating novel computational approaches and theoretical models with experimental methods where multiple strains and transfer elements are studied, both in vivo and in controlled conditions that mimic the intricacies of host-associated environments.
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Affiliation(s)
- Jorge Moura de Sousa
- Institut Pasteur, Université Paris Cité, CNRS, UMR3525, Microbial Evolutionary Genomics, Paris, 75015 Paris, France
| | - Marta Lourenço
- Institut Pasteur, Université Paris Cité, Biodiversity and Epidemiology of Bacterial Pathogens, F-75015 Paris, France
| | - Isabel Gordo
- Instituto Gulbenkian de Ciência, Rua da Quinta Grande,6, Oeiras, Portugal.
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11
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Loy JD, Clawson ML, Adkins PRF, Middleton JR. Current and Emerging Diagnostic Approaches to Bacterial Diseases of Ruminants. Vet Clin North Am Food Anim Pract 2023; 39:93-114. [PMID: 36732002 DOI: 10.1016/j.cvfa.2022.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
The diagnostic approaches and methods to detect bacterial pathogens in ruminants are discussed, with a focus on cattle. Conventional diagnostic methods using culture, isolation, and characterization are being replaced or supplemented with new methods. These include molecular diagnostics such as real-time polymerase chain reaction and whole-genome sequencing. In addition, methods such as matrix-assisted laser desorption ionization-time-of-flight mass spectrometry enable rapid identification and enhanced pathogen characterization. These emerging diagnostic tools can greatly enhance the ability to detect and characterize pathogens, but performance and interpretation vary greatly across sample and pathogen types, disease syndromes, assay performance, and other factors.
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Affiliation(s)
- John Dustin Loy
- Nebraska Veterinary Diagnostic Center, School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE, USA.
| | - Michael L Clawson
- USDA, Agriculture Research Service US Meat Animal Research Center, Clay Center, NE, USA
| | - Pamela R F Adkins
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA
| | - John R Middleton
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, MO, USA
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12
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Snead AA, Alda F. Time-Series Sequences for Evolutionary Inferences. Integr Comp Biol 2022; 62:1771-1783. [PMID: 36104153 DOI: 10.1093/icb/icac146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 01/05/2023] Open
Affiliation(s)
- Anthony A Snead
- Department of Biological Sciences, University of Alabama, 300 Hackberry Lane, Tuscaloosa, AL 35487, USA
| | - Fernando Alda
- Department of Biology, Geology and Environmental Science, University of Tennessee at Chattanooga, 615 McCallie Ave, Chattanooga, TN 37403, USA
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13
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Maritan E, Gallo M, Srutkova D, Jelinkova A, Benada O, Kofronova O, Silva-Soares NF, Hudcovic T, Gifford I, Barrick JE, Schwarzer M, Martino ME. Gut microbe Lactiplantibacillus plantarum undergoes different evolutionary trajectories between insects and mammals. BMC Biol 2022; 20:290. [PMID: 36575413 PMCID: PMC9795633 DOI: 10.1186/s12915-022-01477-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 11/23/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Animals form complex symbiotic associations with their gut microbes, whose evolution is determined by an intricate network of host and environmental factors. In many insects, such as Drosophila melanogaster, the microbiome is flexible, environmentally determined, and less diverse than in mammals. In contrast, mammals maintain complex multispecies consortia that are able to colonize and persist in the gastrointestinal tract. Understanding the evolutionary and ecological dynamics of gut microbes in different hosts is challenging. This requires disentangling the ecological factors of selection, determining the timescales over which evolution occurs, and elucidating the architecture of such evolutionary patterns. RESULTS We employ experimental evolution to track the pace of the evolution of a common gut commensal, Lactiplantibacillus plantarum, within invertebrate (Drosophila melanogaster) and vertebrate (Mus musculus) hosts and their respective diets. We show that in Drosophila, the nutritional environment dictates microbial evolution, while the host benefits L. plantarum growth only over short ecological timescales. By contrast, in a mammalian animal model, L. plantarum evolution results to be divergent between the host intestine and its diet, both phenotypically (i.e., host-evolved populations show higher adaptation to the host intestinal environment) and genomically. Here, both the emergence of hypermutators and the high persistence of mutated genes within the host's environment strongly differed from the low variation observed in the host's nutritional environment alone. CONCLUSIONS Our results demonstrate that L. plantarum evolution diverges between insects and mammals. While the symbiosis between Drosophila and L. plantarum is mainly determined by the host diet, in mammals, the host and its intrinsic factors play a critical role in selection and influence both the phenotypic and genomic evolution of its gut microbes, as well as the outcome of their symbiosis.
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Affiliation(s)
- Elisa Maritan
- Department of Comparative Biomedicine and Food Science, University of Padua, Padua, Italy
| | - Marialaura Gallo
- Department of Comparative Biomedicine and Food Science, University of Padua, Padua, Italy
| | - Dagmar Srutkova
- Laboratory of Gnotobiology, Institute of Microbiology of the Czech Academy of Sciences, Novy Hradek, Czech Republic
| | - Anna Jelinkova
- Laboratory of Gnotobiology, Institute of Microbiology of the Czech Academy of Sciences, Novy Hradek, Czech Republic
| | - Oldrich Benada
- Laboratory of Molecular Structure Characterization, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Olga Kofronova
- Laboratory of Molecular Structure Characterization, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czech Republic
| | - Nuno F Silva-Soares
- Department of Comparative Biomedicine and Food Science, University of Padua, Padua, Italy
| | - Tomas Hudcovic
- Laboratory of Gnotobiology, Institute of Microbiology of the Czech Academy of Sciences, Novy Hradek, Czech Republic
| | - Isaac Gifford
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Jeffrey E Barrick
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Martin Schwarzer
- Laboratory of Gnotobiology, Institute of Microbiology of the Czech Academy of Sciences, Novy Hradek, Czech Republic.
| | - Maria Elena Martino
- Department of Comparative Biomedicine and Food Science, University of Padua, Padua, Italy.
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14
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Diop A, Torrance EL, Stott CM, Bobay LM. Gene flow and introgression are pervasive forces shaping the evolution of bacterial species. Genome Biol 2022; 23:239. [PMID: 36357919 PMCID: PMC9650840 DOI: 10.1186/s13059-022-02809-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 10/24/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Although originally thought to evolve clonally, studies have revealed that most bacteria exchange DNA. However, it remains unclear to what extent gene flow shapes the evolution of bacterial genomes and maintains the cohesion of species. RESULTS Here, we analyze the patterns of gene flow within and between >2600 bacterial species. Our results show that fewer than 10% of bacterial species are truly clonal, indicating that purely asexual species are rare in nature. We further demonstrate that the taxonomic criterion of ~95% genome sequence identity routinely used to define bacterial species does not accurately represent a level of divergence that imposes an effective barrier to gene flow across bacterial species. Interruption of gene flow can occur at various sequence identities across lineages, generally from 90 to 98% genome identity. This likely explains why a ~95% genome sequence identity threshold has empirically been judged as a good approximation to define bacterial species. Our results support a universal mechanism where the availability of identical genomic DNA segments required to initiate homologous recombination is the primary determinant of gene flow and species boundaries in bacteria. We show that these barriers of gene flow remain porous since many distinct species maintain some level of gene flow, similar to introgression in sexual organisms. CONCLUSIONS Overall, bacterial evolution and speciation are likely shaped by similar forces driving the evolution of sexual organisms. Our findings support a model where the interruption of gene flow-although not necessarily the initial cause of speciation-leads to the establishment of permanent and irreversible species borders.
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Affiliation(s)
- Awa Diop
- grid.266860.c0000 0001 0671 255XDepartment of Biology, University of North Carolina Greensboro, Greensboro, North Carolina, 321 McIver Street, PO Box 26170, Greensboro, NC 27402 USA
| | - Ellis L. Torrance
- grid.266860.c0000 0001 0671 255XDepartment of Biology, University of North Carolina Greensboro, Greensboro, North Carolina, 321 McIver Street, PO Box 26170, Greensboro, NC 27402 USA
| | - Caroline M. Stott
- grid.266860.c0000 0001 0671 255XDepartment of Biology, University of North Carolina Greensboro, Greensboro, North Carolina, 321 McIver Street, PO Box 26170, Greensboro, NC 27402 USA
| | - Louis-Marie Bobay
- grid.266860.c0000 0001 0671 255XDepartment of Biology, University of North Carolina Greensboro, Greensboro, North Carolina, 321 McIver Street, PO Box 26170, Greensboro, NC 27402 USA
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15
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Proctor A, Parvinroo S, Richie T, Jia X, Lee STM, Karp PD, Paley S, Kostic AD, Pierre JF, Wannemuehler MJ, Phillips GJ. Resources to Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model to Study Microbiome Function. mSystems 2022; 7:e0029322. [PMID: 35968975 PMCID: PMC9600240 DOI: 10.1128/msystems.00293-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 07/20/2022] [Indexed: 12/24/2022] Open
Abstract
Animals colonized with a defined microbiota represent useful experimental systems to investigate microbiome function. The altered Schaedler flora (ASF) represents a consortium of eight murine bacterial species that have been used for more than 4 decades where the study of mice with a reduced microbiota is desired. In contrast to germ-free mice, or mice colonized with only one or two species, ASF mice show the normal gut structure and immune system development. To further expand the utility of the ASF, we have developed technical and bioinformatic resources to enable a systems-based analysis of microbiome function using this model. Here, we highlighted four distinct applications of these resources that enable and improve (i) measurements of the abundance of each ASF member by quantitative PCR; (ii) exploration and comparative analysis of ASF genomes and the metabolic pathways they encode that comprise the entire gut microbiome; (iii) global transcriptional profiling to identify genes whose expression responds to environmental changes within the gut; and (iv) discovery of genetic changes resulting from the evolutionary adaptation of the microbiota. These resources were designed to be accessible to a broad community of researchers that, in combination with conventionally-reared mice (i.e., with complex microbiome), should contribute to our understanding of microbiome structure and function. IMPORTANCE Improved experimental systems are needed to advance our understanding of how the gut microbiome influences processes of the mammalian host as well as microbial community structure and function. An approach that is receiving considerable attention is the use of animal models that harbor a stable microbiota of known composition, i.e., defined microbiota, which enables control over an otherwise highly complex and variable feature of mammalian biology. The altered Schaedler flora (ASF) consortium is a well-established defined microbiota model, where mice are stably colonized with 8 distinct murine bacterial species. To take better advantage of the ASF, we established new experimental and bioinformatics resources for researchers to make better use of this model as an experimental system to study microbiome function.
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Affiliation(s)
- Alexandra Proctor
- Department of Veterinary Microbiology, Iowa State University, Ames, Iowa, USA
| | - Shadi Parvinroo
- Department of Veterinary Microbiology, Iowa State University, Ames, Iowa, USA
| | - Tanner Richie
- Division of Biology, Kansas State University, Manhattan Kansas, USA
| | - Xinglin Jia
- Department of Veterinary Microbiology, Iowa State University, Ames, Iowa, USA
| | - Sonny T. M. Lee
- Division of Biology, Kansas State University, Manhattan Kansas, USA
| | - Peter D. Karp
- Bioinformatics Research Group, SRI International, Menlo Park, California, USA
| | - Suzanne Paley
- Bioinformatics Research Group, SRI International, Menlo Park, California, USA
| | - Aleksandar D. Kostic
- Department of Microbiology and Immunology, Joslin Diabetes Center, Harvard University, Cambridge Massachusetts, USA
| | - Joseph F. Pierre
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison Wisconsin, USA
| | | | - Gregory J. Phillips
- Department of Veterinary Microbiology, Iowa State University, Ames, Iowa, USA
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16
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Kong X, Chen J, Yang Y, Li M, Wang J, Jia Q, Wang Y, Yuan Q, Miao Y, Zhao P, You Y, Zhao X, Pei X, Zuo H, Meng J. Phenotypic and genotypic characterization of
salmonella
Enteritidis isolated from two consecutive
Food‐Poisoning
outbreaks in Sichuan, China. J Food Saf 2022. [DOI: 10.1111/jfs.13015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Ximei Kong
- Chengdu Center for Disease Control and Prevention Chengdu China
| | - Jingxian Chen
- West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province Chengdu China
| | - Yang Yang
- Chengdu Center for Disease Control and Prevention Chengdu China
| | - Ming Li
- Chengdu Center for Disease Control and Prevention Chengdu China
| | - Jian Wang
- West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province Chengdu China
| | - Qu Jia
- West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province Chengdu China
| | - Yao Wang
- Chengdu Center for Disease Control and Prevention Chengdu China
| | - Qiwu Yuan
- Chengdu Center for Disease Control and Prevention Chengdu China
| | - Yanfang Miao
- Chengdu Center for Disease Control and Prevention Chengdu China
| | - Pinnan Zhao
- Chengdu Center for Disease Control and Prevention Chengdu China
| | - Yiping You
- Chengdu Center for Disease Control and Prevention Chengdu China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China
| | - Xiaofang Pei
- West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province Chengdu China
| | - Haojiang Zuo
- West China School of Public Health and West China Fourth Hospital Sichuan University Chengdu China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province Chengdu China
| | - Jiantong Meng
- Chengdu Center for Disease Control and Prevention Chengdu China
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17
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Two modes of evolution shape bacterial strain diversity in the mammalian gut for thousands of generations. Nat Commun 2022; 13:5604. [PMID: 36153389 PMCID: PMC9509342 DOI: 10.1038/s41467-022-33412-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 09/14/2022] [Indexed: 11/17/2022] Open
Abstract
How and at what pace bacteria evolve when colonizing healthy hosts remains unclear. Here, by monitoring evolution for more than six thousand generations in the mouse gut, we show that the successful colonization of an invader Escherichia coli depends on the diversity of the existing microbiota and the presence of a closely related strain. Following colonization, two modes of evolution were observed: one in which diversifying selection leads to long-term coexistence of ecotypes and a second in which directional selection propels selective sweeps. These modes can be quantitatively distinguished by the statistics of mutation trajectories. In our experiments, diversifying selection was marked by the emergence of metabolic mutations, and directional selection by acquisition of prophages, which bring their own benefits and costs. In both modes, we observed parallel evolution, with mutation accumulation rates comparable to those typically observed in vitro on similar time scales. Our results show how rapid ecotype formation and phage domestication can be in the mammalian gut. Here, the authors show that a colonizing bacterial strain evolves in the gut by either generating ecotypes or continuously fixing beneficial mutations. They associate the first mode to metabolic mutations and the second to domestication of bacteriophages that are incorporated into the bacterial genome.
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18
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Lao Z, Matsui Y, Ijichi S, Ying BW. Global coordination of the mutation and growth rates across the genetic and nutritional variety in Escherichia coli. Front Microbiol 2022; 13:990969. [PMID: 36204613 PMCID: PMC9530902 DOI: 10.3389/fmicb.2022.990969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 08/30/2022] [Indexed: 11/24/2022] Open
Abstract
Fitness and mutability are the primary traits of living organisms for adaptation and evolution. However, their quantitative linkage remained largely deficient. Whether there is any general relationship between the two features and how genetic and environmental variables influence them remained unclear and were addressed here. The mutation and growth rates of an assortment of Escherichia coli strain collections, including the wild-type strains and the genetically disturbed strains of either reduced genomes or deletion of the genes involved in the DNA replication fidelity, were evaluated in various media. The contribution of media to the mutation and growth rates was differentiated depending on the types of genetic disturbance. Nevertheless, the negative correlation between the mutation and growth rates was observed across the genotypes and was common in all media. It indicated the comprehensive association of the correlated mutation and growth rates with the genetic and medium variation. Multiple linear regression and support vector machine successfully predicted the mutation and growth rates and the categories of genotypes and media, respectively. Taken together, the study provided a quantitative dataset linking the mutation and growth rates, genotype, and medium and presented a simple and successful example of predicting bacterial growth and mutability by data-driven approaches.
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19
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Shibai A, Kotani H, Sakata N, Furusawa C, Tsuru S. Purifying selection enduringly acts on the sequence evolution of highly expressed proteins in Escherichia coli. G3 GENES|GENOMES|GENETICS 2022; 12:6694045. [PMID: 36073932 PMCID: PMC9635659 DOI: 10.1093/g3journal/jkac235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 08/27/2022] [Indexed: 11/17/2022]
Abstract
The evolutionary speed of a protein sequence is constrained by its expression level, with highly expressed proteins evolving relatively slowly. This negative correlation between expression levels and evolutionary rates (known as the E–R anticorrelation) has already been widely observed in past macroevolution between species from bacteria to animals. However, it remains unclear whether this seemingly general law also governs recent evolution, including past and de novo, within a species. However, the advent of genomic sequencing and high-throughput phenotyping, particularly for bacteria, has revealed fundamental gaps between the 2 evolutionary processes and has provided empirical data opposing the possible underlying mechanisms which are widely believed. These conflicts raise questions about the generalization of the E–R anticorrelation and the relevance of plausible mechanisms. To explore the ubiquitous impact of expression levels on molecular evolution and test the relevance of the possible underlying mechanisms, we analyzed the genome sequences of 99 strains of Escherichia coli for evolution within species in nature. We also analyzed genomic mutations accumulated under laboratory conditions as a model of de novo evolution within species. Here, we show that E–R anticorrelation is significant in both past and de novo evolution within species in E. coli. Our data also confirmed ongoing purifying selection on highly expressed genes. Ongoing selection included codon-level purifying selection, supporting the relevance of the underlying mechanisms. However, the impact of codon-level purifying selection on the constraints in evolution within species might be smaller than previously expected from evolution between species.
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Affiliation(s)
- Atsushi Shibai
- Center for Biosystems Dynamics Research (BDR), RIKEN , Osaka 565-0874, Japan
| | - Hazuki Kotani
- Center for Biosystems Dynamics Research (BDR), RIKEN , Osaka 565-0874, Japan
| | - Natsue Sakata
- Center for Biosystems Dynamics Research (BDR), RIKEN , Osaka 565-0874, Japan
| | - Chikara Furusawa
- Center for Biosystems Dynamics Research (BDR), RIKEN , Osaka 565-0874, Japan
- Universal Biology Institute, School of Science, The University of Tokyo , Tokyo 113-0033, Japan
| | - Saburo Tsuru
- Universal Biology Institute, School of Science, The University of Tokyo , Tokyo 113-0033, Japan
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20
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Abstract
Horizontal gene transfer (HGT) is arguably the most conspicuous feature of bacterial evolution. Evidence for HGT is found in most bacterial genomes. Although HGT can considerably alter bacterial genomes, not all transfer events may be biologically significant and may instead represent the outcome of an incessant evolutionary process that only occasionally has a beneficial purpose. When adaptive transfers occur, HGT and positive selection may result in specific, detectable signatures in genomes, such as gene-specific sweeps or increased transfer rates for genes that are ecologically relevant. In this Review, we first discuss the various mechanisms whereby HGT occurs, how the genetic signatures shape patterns of genomic variation and the distinct bioinformatic algorithms developed to detect these patterns. We then discuss the evolutionary theory behind HGT and positive selection in bacteria, and discuss the approaches developed over the past decade to detect transferred DNA that may be involved in adaptation to new environments.
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21
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Sanna S, Kurilshikov A, van der Graaf A, Fu J, Zhernakova A. Challenges and future directions for studying effects of host genetics on the gut microbiome. Nat Genet 2022; 54:100-106. [PMID: 35115688 DOI: 10.1038/s41588-021-00983-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 11/02/2021] [Indexed: 12/15/2022]
Abstract
The human gut microbiome is a complex ecosystem that is involved in its host's metabolism, immunity and health. Although interindividual variations in gut microbial composition are mainly driven by environmental factors, some gut microorganisms are heritable and thus can be influenced by host genetics. In the past 5 years, 12 microbial genome-wide association studies (mbGWAS) with >1,000 participants have been published, yet only a few genetic loci have been consistently confirmed across multiple studies. Here we discuss the state of the art for mbGWAS, focusing on current challenges such as the heterogeneity of microbiome measurements and power issues, and we elaborate on potential future directions for genetic analysis of the microbiome.
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Affiliation(s)
- Serena Sanna
- Institute for Genetic and Biomedical Research (IRGB), National Research Council (CNR), Monserrato, Cagliari, Italy.
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
| | - Alexander Kurilshikov
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Adriaan van der Graaf
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Jingyuan Fu
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
- Department of Pediatrics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
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22
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Diet leaves a genetic signature in a keystone member of the gut microbiota. Cell Host Microbe 2022; 30:183-199.e10. [PMID: 35085504 DOI: 10.1016/j.chom.2022.01.002] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 11/08/2021] [Accepted: 12/17/2021] [Indexed: 12/22/2022]
Abstract
Switching from a low-fat and high-fiber diet to a Western-style high-fat and high-sugar diet causes microbiota imbalances that underlay many pathological conditions (i.e., dysbiosis). Although the effects of dietary changes on microbiota composition and functions are well documented, their impact in gut bacterial evolution remains unexplored. We followed the emergence of mutations in Bacteroides thetaiotaomicron, a prevalent fiber-degrading microbiota member, upon colonization of the murine gut under different dietary regimens. B. thetaiotaomicron evolved rapidly in the gut and Western-style diet selected for mutations that promote degradation of mucin-derived glycans. Periodic dietary changes caused fluctuations in the frequency of such mutations and were associated with metabolic shifts, resulting in the maintenance of higher intraspecies genetic diversity compared to constant dietary regimens. These results show that dietary changes leave a genetic signature in microbiome members and suggest that B. thetaiotaomicron genetic diversity could be a biomarker for dietary differences among individuals.
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23
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Shoemaker WR, Chen D, Garud NR. Comparative Population Genetics in the Human Gut Microbiome. Genome Biol Evol 2022; 14:evab116. [PMID: 34028530 PMCID: PMC8743038 DOI: 10.1093/gbe/evab116] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/22/2021] [Indexed: 11/13/2022] Open
Abstract
Genetic variation in the human gut microbiome is responsible for conferring a number of crucial phenotypes like the ability to digest food and metabolize drugs. Yet, our understanding of how this variation arises and is maintained remains relatively poor. Thus, the microbiome remains a largely untapped resource, as the large number of coexisting species in the microbiome presents a unique opportunity to compare and contrast evolutionary processes across species to identify universal trends and deviations. Here we outline features of the human gut microbiome that, while not unique in isolation, as an assemblage make it a system with unparalleled potential for comparative population genomics studies. We consciously take a broad view of comparative population genetics, emphasizing how sampling a large number of species allows researchers to identify universal evolutionary dynamics in addition to new genes, which can then be leveraged to identify exceptional species that deviate from general patterns. To highlight the potential power of comparative population genetics in the microbiome, we reanalyze patterns of purifying selection across ∼40 prevalent species in the human gut microbiome to identify intriguing trends which highlight functional categories in the microbiome that may be under more or less constraint.
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Affiliation(s)
- William R Shoemaker
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA
| | - Daisy Chen
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA
| | - Nandita R Garud
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA
- Department of Human Genetics, University of California, Los Angeles, California, USA
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24
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Mazzucco R, Schlötterer C. Long-term gut microbiome dynamics in Drosophila melanogaster reveal environment-specific associations between bacterial taxa at the family level. Proc Biol Sci 2021; 288:20212193. [PMID: 34905708 PMCID: PMC8670958 DOI: 10.1098/rspb.2021.2193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The influence of the microbiome on its host is well-documented, but the interplay of its members is not yet well-understood. Even for simple microbiomes, the interaction among members of the microbiome is difficult to study. Longitudinal studies provide a promising approach to studying such interactions through the temporal covariation of different taxonomic units. By contrast to most longitudinal studies, which span only a single host generation, we here present a post hoc analysis of a whole-genome dataset of 81 samples that follows microbiome composition for up to 180 host generations, which cover nearly 10 years. The microbiome diversity remained rather stable in replicated Drosophila melanogaster populations exposed to two different temperature regimes. The composition changed, however, systematically across replicates of the two temperature regimes. Significant associations between families, mostly specific to one temperature regime, indicate functional interdependence of different microbiome components. These associations also involve moderately abundant families, which emphasizes their functional importance, and highlights the importance of looking beyond the common constituents of the Drosophila microbiome.
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Affiliation(s)
- Rupert Mazzucco
- Institut für Populationsgenetik, Veterinärmedizinische Universität Wien, Veterinärplatz 1, Wien 1210, Austria
| | - Christian Schlötterer
- Institut für Populationsgenetik, Veterinärmedizinische Universität Wien, Veterinärplatz 1, Wien 1210, Austria
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25
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Bloomfield SJ, Midwinter AC, Biggs PJ, French NP, Marshall JC, Hayman DTS, Carter PE, Mather AE, Fayaz A, Thornley C, Kelly DJ, Benschop J. Genomic adaptations of Campylobacter jejuni to long-term human colonization. Gut Pathog 2021; 13:72. [PMID: 34893079 PMCID: PMC8665580 DOI: 10.1186/s13099-021-00469-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 12/01/2021] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Campylobacter is a genus of bacteria that has been isolated from the gastrointestinal tract of humans and animals, and the environments they inhabit around the world. Campylobacter adapt to new environments by changes in their gene content and expression, but little is known about how they adapt to long-term human colonization. In this study, the genomes of 31 isolates from a New Zealand patient and 22 isolates from a United Kingdom patient belonging to Campylobacter jejuni sequence type 45 (ST45) were compared with 209 ST45 genomes from other sources to identify the mechanisms by which Campylobacter adapts to long-term human colonization. In addition, the New Zealand patient had their microbiota investigated using 16S rRNA metabarcoding, and their level of inflammation and immunosuppression analyzed using biochemical tests, to determine how Campylobacter adapts to a changing gastrointestinal tract. RESULTS There was some evidence that long-term colonization led to genome degradation, but more evidence that Campylobacter adapted through the accumulation of non-synonymous single nucleotide polymorphisms (SNPs) and frameshifts in genes involved in cell motility, signal transduction and the major outer membrane protein (MOMP). The New Zealand patient also displayed considerable variation in their microbiome, inflammation and immunosuppression over five months, and the Campylobacter collected from this patient could be divided into two subpopulations, the proportion of which correlated with the amount of gastrointestinal inflammation. CONCLUSIONS This study demonstrates how genomics, phylogenetics, 16S rRNA metabarcoding and biochemical markers can provide insight into how Campylobacter adapts to changing environments within human hosts. This study also demonstrates that long-term human colonization selects for changes in Campylobacter genes involved in cell motility, signal transduction and the MOMP; and that genetically distinct subpopulations of Campylobacter evolve to adapt to the changing gastrointestinal environment.
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Affiliation(s)
| | - Anne C Midwinter
- mEpiLab, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
- Infectious Disease Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
| | - Patrick J Biggs
- mEpiLab, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
- Infectious Disease Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
- School of Fundamental Science, Massey University, Palmerston North, 4410, New Zealand
| | - Nigel P French
- Infectious Disease Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
- New Zealand Food Safety Science and Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
| | - Jonathan C Marshall
- mEpiLab, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
- Infectious Disease Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
- School of Fundamental Science, Massey University, Palmerston North, 4410, New Zealand
| | - David T S Hayman
- mEpiLab, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
- Infectious Disease Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
- Centre of Research Excellence for Complex Systems, Te Pūnaha Matatini, Auckland, New Zealand
| | - Philip E Carter
- Institute of Environmental Science of Research, 34 Kenepuru Drive, Kenepuru, Porirua, 5022, New Zealand
| | - Alison E Mather
- Quadram Institute Bioscience, Norwich Research Park, Norwich, Norfolk, UK
- University of East Anglia, Norwich, Norfolk, UK
| | - Ahmed Fayaz
- mEpiLab, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
- Infectious Disease Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
| | - Craig Thornley
- Regional Public Health, Hutt Hospital, Lower Hutt, 5040, New Zealand
| | - David J Kelly
- School of Biosciences, The University of Sheffield, Sheffield, South Yorkshire, UK
| | - Jackie Benschop
- mEpiLab, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
- Infectious Disease Research Centre, Hopkirk Research Institute, Massey University, Palmerston North, 4410, New Zealand
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26
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Zhang Z, Han Z, Wu Y, Jiang S, Ma C, Zhang Y, Zhang J. Metagenomics assembled genome scale analysis revealed the microbial diversity and genetic polymorphism of Lactiplantibacillus plantarum in traditional fermented foods of Hainan, China. Food Res Int 2021; 150:110785. [PMID: 34865800 DOI: 10.1016/j.foodres.2021.110785] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 09/01/2021] [Accepted: 10/24/2021] [Indexed: 11/30/2022]
Abstract
Exploring the microbiome in fermented foods and their effects on food quality and sustainability is beneficial to provide data support for understanding how they affects human physiology. Here, metagenomic sequencing and metagenomic assembled genomes (MAGs) were applied to appraise the microbial diversity of fermented Yucha (FYC) and fermented vegetables (FVE). The antibiotic resistance genes (ARGs) enrichment and genetic polymorphism of Lactiplantibacillus plantarum in fermented foods of different regions were compared. The results showed that Lactiplantibacillus plantarum was the dominant species in FYC, while Lactiplantibacillus fermentum in FVE occupied the dominant position. From 32 high-quality MAGs, the central differential Lactic acid bacteria were higher in FVE. By comparing the Lactiplantibacillus plantarum MAGs in Hainan and Other regions, we found that the total Single Nucleotide Polymorphisms of Lactiplantibacillus plantarum in Hainan were significantly higher than other areas. Six non-synonymous mutations were included in the primary differential mutation, especially TrkA family potassium uptake protein and MerR family transcriptional regulator, which may be related to the hypersaline environment and highest ARGs enrichment in Hainan. This research provides valuable insight into our understanding of the microbiome of fermented food. Meanwhile, the analysis of Lactiplantibacillus plantarum genetic polymorphism based on MAGs helps us understand this strain's evolutionary history.
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Affiliation(s)
- Zeng Zhang
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China
| | - Zhe Han
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China
| | - Yuqing Wu
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China
| | - Shuaiming Jiang
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China
| | - Chenchen Ma
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China
| | - Yanjun Zhang
- Chinese Academy of Tropical Agricultural Science, Spice and Beverages Research Institute, Wanning, Hainan 571533, China.
| | - Jiachao Zhang
- College of Food Science and Engineering, Key Laboratory of Food Nutrition and Functional Food of Hainan Province, Hainan University, Haikou 570228, Hainan, China.
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27
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Erez A, Lopez JG, Meir Y, Wingreen NS. Enzyme regulation and mutation in a model serial-dilution ecosystem. Phys Rev E 2021; 104:044412. [PMID: 34781576 DOI: 10.1103/physreve.104.044412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 08/20/2021] [Indexed: 11/07/2022]
Abstract
Microbial communities are ubiquitous in nature and come in a multitude of forms, ranging from communities dominated by a handful of species to communities containing a wide variety of metabolically distinct organisms. This huge range in diversity is not a curiosity-microbial diversity has been linked to outcomes of substantial ecological and medical importance. However, the mechanisms underlying microbial diversity are still under debate, as simple mathematical models only permit as many species to coexist as there are resources. A plethora of mechanisms have been proposed to explain the origins of microbial diversity, but many of these analyses omit a key property of real microbial ecosystems: the propensity of the microbes themselves to change their growth properties within and across generations. In order to explore the impact of this key property on microbial diversity, we expand upon a recently developed model of microbial diversity in fluctuating environments. We implement changes in growth strategy in two distinct ways. First, we consider the regulation of a cell's enzyme levels within short, ecological times, and second we consider evolutionary changes driven by mutations across generations. Interestingly, we find that these two types of microbial responses to the environment can have drastically different outcomes. Enzyme regulation may collapse diversity over long enough times while, conversely, strategy-randomizing mutations can produce a "rich-get-poorer" effect that promotes diversity. This paper makes explicit, using a simple serial-dilutions framework, the conflicting ways that microbial adaptation and evolution can affect community diversity.
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Affiliation(s)
- Amir Erez
- Department of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA.,Racah Institute of Physics, The Hebrew University, Jerusalem 9190401, Israel
| | - Jaime G Lopez
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA
| | - Yigal Meir
- Department of Physics, Ben Gurion University of the Negev, Beer Sheva 8410501, Israel
| | - Ned S Wingreen
- Department of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA.,Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, USA
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28
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Hernández-Beltrán JCR, San Millán A, Fuentes-Hernández A, Peña-Miller R. Mathematical Models of Plasmid Population Dynamics. Front Microbiol 2021; 12:606396. [PMID: 34803935 PMCID: PMC8600371 DOI: 10.3389/fmicb.2021.606396] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 10/14/2021] [Indexed: 11/24/2022] Open
Abstract
With plasmid-mediated antibiotic resistance thriving and threatening to become a serious public health problem, it is paramount to increase our understanding of the forces that enable the spread and maintenance of drug resistance genes encoded in mobile genetic elements. The relevance of plasmids as vehicles for the dissemination of antibiotic resistance genes, in addition to the extensive use of plasmid-derived vectors for biotechnological and industrial purposes, has promoted the in-depth study of the molecular mechanisms controlling multiple aspects of a plasmids' life cycle. This body of experimental work has been paralleled by the development of a wealth of mathematical models aimed at understanding the interplay between transmission, replication, and segregation, as well as their consequences in the ecological and evolutionary dynamics of plasmid-bearing bacterial populations. In this review, we discuss theoretical models of plasmid dynamics that span from the molecular mechanisms of plasmid partition and copy-number control occurring at a cellular level, to their consequences in the population dynamics of complex microbial communities. We conclude by discussing future directions for this exciting research topic.
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Affiliation(s)
| | | | | | - Rafael Peña-Miller
- Center for Genomic Sciences, Universidad Nacional Autónoma de México, Cuernavaca, Mexico
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29
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Durão P, Amicone M, Perfeito L, Gordo I. Competition dynamics in long-term propagations of Schizosaccharomyces pombe strain communities. Ecol Evol 2021; 11:15085-15097. [PMID: 34765162 PMCID: PMC8571606 DOI: 10.1002/ece3.8191] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 09/14/2021] [Accepted: 09/16/2021] [Indexed: 01/16/2023] Open
Abstract
Experimental evolution studies with microorganisms such as bacteria and yeast have been an increasingly important and powerful tool to draw long-term inferences of how microbes interact. However, while several strains of the same species often exist in natural environments, many ecology and evolution studies in microbes are typically performed with isogenic populations of bacteria or yeast. In the present study, we firstly perform a genotypic and phenotypic characterization of two laboratory and eight natural strains of the yeast Schizosaccharomyces pombe. We then propagated, in a rich resource environment, yeast communities of 2, 3, 4, and 5 strains for hundreds of generations and asked which fitness-related phenotypes-maximum growth rate or relative competitive fitness-would better predict the outcome of a focal strain during the propagations. While the strain's growth rates would wrongly predict long-term coexistence, pairwise competitive fitness with a focal strain qualitatively predicted the success or extinction of the focal strain by a simple multigenotype population genetics model, given the initial community composition. Interestingly, we have also measured the competitive fitness of the ancestral and evolved communities by the end of the experiment (≈370 generations) and observed frequent maladaptation to the abiotic environment in communities with more than three members. Overall, our results aid establishing pairwise competitive fitness as good qualitative measurement of long-term community composition but also reveal a complex adaptive scenario when trying to predict the evolutionary outcome of those communities.
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Affiliation(s)
- Paulo Durão
- Instituto Gulbenkian de CiênciaOeirasPortugal
| | | | - Lília Perfeito
- Instituto Gulbenkian de CiênciaOeirasPortugal
- Present address:
Laboratório de Instrumentação e Física Experimental de PartículasLisboaPortugal
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30
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Murray GGR, Balmer AJ, Herbert J, Hadjirin NF, Kemp CL, Matuszewska M, Bruchmann S, Hossain ASMM, Gottschalk M, Tucker AW, Miller E, Weinert LA. Mutation rate dynamics reflect ecological change in an emerging zoonotic pathogen. PLoS Genet 2021; 17:e1009864. [PMID: 34748531 PMCID: PMC8601623 DOI: 10.1371/journal.pgen.1009864] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 11/18/2021] [Accepted: 10/06/2021] [Indexed: 11/18/2022] Open
Abstract
Mutation rates vary both within and between bacterial species, and understanding what drives this variation is essential for understanding the evolutionary dynamics of bacterial populations. In this study, we investigate two factors that are predicted to influence the mutation rate: ecology and genome size. We conducted mutation accumulation experiments on eight strains of the emerging zoonotic pathogen Streptococcus suis. Natural variation within this species allows us to compare tonsil carriage and invasive disease isolates, from both more and less pathogenic populations, with a wide range of genome sizes. We find that invasive disease isolates have repeatedly evolved mutation rates that are higher than those of closely related carriage isolates, regardless of variation in genome size. Independent of this variation in overall rate, we also observe a stronger bias towards G/C to A/T mutations in isolates from more pathogenic populations, whose genomes tend to be smaller and more AT-rich. Our results suggest that ecology is a stronger correlate of mutation rate than genome size over these timescales, and that transitions to invasive disease are consistently accompanied by rapid increases in mutation rate. These results shed light on the impact that ecology can have on the adaptive potential of bacterial pathogens.
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Affiliation(s)
- Gemma G. R. Murray
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
- * E-mail:
| | - Andrew J. Balmer
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Josephine Herbert
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Nazreen F. Hadjirin
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Caroline L. Kemp
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Marta Matuszewska
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Sebastian Bruchmann
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | | | - Marcelo Gottschalk
- Département de Pathologie et Microbiologie, Université de Montréal, Montréal, Canada
| | - Alexander W. Tucker
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Eric Miller
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Lucy A. Weinert
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
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31
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Arikawa K, Ide K, Kogawa M, Saeki T, Yoda T, Endoh T, Matsuhashi A, Takeyama H, Hosokawa M. Recovery of strain-resolved genomes from human microbiome through an integration framework of single-cell genomics and metagenomics. MICROBIOME 2021; 9:202. [PMID: 34641955 PMCID: PMC8507239 DOI: 10.1186/s40168-021-01152-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 08/31/2021] [Indexed: 05/12/2023]
Abstract
BACKGROUND Obtaining high-quality (HQ) reference genomes from microbial communities is crucial for understanding the phylogeny and function of uncultured microbes in complex microbial ecosystems. Despite improvements in bioinformatic approaches to generate curated metagenome-assembled genomes (MAGs), existing metagenome binners obtain population consensus genomes but they are nowhere comparable to genomes sequenced from isolates in terms of strain level resolution. Here, we present a framework for the integration of single-cell genomics and metagenomics, referred to as single-cell (sc) metagenomics, to reconstruct strain-resolved genomes from microbial communities at once. RESULTS Our sc-metagenomics integration framework, termed SMAGLinker, uses single-cell amplified genomes (SAGs) generated using microfluidic technology as binning guides and integrates them with metagenome-assembled genomes (MAGs) to recover improved draft genomes. We compared sc-metagenomics with the metagenomics-alone approach using conventional metagenome binners. The sc-metagenomics approach showed precise contig binning and higher recovery rates (>97%) of rRNA and plasmids than conventional metagenomics in genome reconstruction from the cell mock community. In human microbiota samples, sc-metagenomics recovered the largest number of genomes with a total of 103 gut microbial genomes (21 HQ, with 65 showing >90% completeness) and 45 skin microbial genomes (10 HQ, with 40 showing >90% completeness), respectively. Conventional metagenomics recovered one Staphylococcus hominis genome, whereas sc-metagenomics recovered two S. hominis genomes from identical skin microbiota sample. Single-cell sequencing revealed that these S. hominis genomes were derived from two distinct strains harboring specifically different plasmids. We found that all conventional S. hominis MAGs had a substantial lack or excess of genome sequences and contamination from other Staphylococcus species (S. epidermidis). CONCLUSIONS SMAGLinker enabled us to obtain strain-resolved genomes in the mock community and human microbiota samples by assigning metagenomic sequences correctly and covering both highly conserved genes such as rRNA genes and unique extrachromosomal elements, including plasmids. SMAGLinker will provide HQ genomes that are difficult to obtain using metagenomics alone and will facilitate the understanding of microbial ecosystems by elucidating detailed metabolic pathways and horizontal gene transfer networks. SMAGLinker is available at https://github.com/kojiari/smaglinker . Video abstract.
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Affiliation(s)
- Koji Arikawa
- bitBiome, Inc., 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
| | - Keigo Ide
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan
- Computational Bio Big-Data Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Masato Kogawa
- Research Organization for Nano and Life Innovation, Waseda University, 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
| | - Tatsuya Saeki
- bitBiome, Inc., 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
| | - Takuya Yoda
- bitBiome, Inc., 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
| | - Taruho Endoh
- bitBiome, Inc., 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
| | - Ayumi Matsuhashi
- bitBiome, Inc., 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
| | - Haruko Takeyama
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan
- Computational Bio Big-Data Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
- Research Organization for Nano and Life Innovation, Waseda University, 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan
- Institute for Advanced Research of Biosystem Dynamics, Waseda Research Institute for Science and Engineering, 3-4-1 Okubo, Shinjuku-ku, Tokyo, 169-8555, Japan
| | - Masahito Hosokawa
- bitBiome, Inc., 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan.
- Department of Life Science and Medical Bioscience, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo, 162-8480, Japan.
- Research Organization for Nano and Life Innovation, Waseda University, 513 Wasedatsurumaki-cho, Shinjuku-ku, Tokyo, 162-0041, Japan.
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32
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Waldvogel AM, Pfenninger M. Temperature dependence of spontaneous mutation rates. Genome Res 2021; 31:1582-1589. [PMID: 34301628 PMCID: PMC8415371 DOI: 10.1101/gr.275168.120] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 07/21/2021] [Indexed: 11/29/2022]
Abstract
Mutation is the source of genetic variation and the fundament of evolution. Temperature has long been suggested to have a direct impact on realized spontaneous mutation rates. If mutation rates vary in response to environmental conditions, such as the variation of the ambient temperature through space and time, they should no longer be described as species-specific constants. By combining mutation accumulation with whole-genome sequencing in a multicellular organism, we provide empirical support to reject the null hypothesis of a constant, temperature-independent mutation rate. Instead, mutation rates depended on temperature in a U-shaped manner with increasing rates toward both temperature extremes. This relation has important implications for mutation-dependent processes in molecular evolution, processes shaping the evolution of mutation rates, and even the evolution of biodiversity as such.
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Affiliation(s)
- Ann-Marie Waldvogel
- Senckenberg Biodiversity and Climate Research Centre, 60325 Frankfurt am Main, Germany
- Institute of Zoology, University of Cologne, 50674 Cologne, Germany
| | - Markus Pfenninger
- Senckenberg Biodiversity and Climate Research Centre, 60325 Frankfurt am Main, Germany
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, 60325 Frankfurt am Main, Germany
- Institute for Organismic and Molecular Evolution, Johannes Gutenberg University, 55128 Mainz, Germany
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33
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Perreau J, Moran NA. Genetic innovations in animal-microbe symbioses. Nat Rev Genet 2021; 23:23-39. [PMID: 34389828 DOI: 10.1038/s41576-021-00395-z] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2021] [Indexed: 02/07/2023]
Abstract
Animal hosts have initiated myriad symbiotic associations with microorganisms and often have maintained these symbioses for millions of years, spanning drastic changes in ecological conditions and lifestyles. The establishment and persistence of these relationships require genetic innovations on the parts of both symbionts and hosts. The nature of symbiont innovations depends on their genetic population structure, categorized here as open, closed or mixed. These categories reflect modes of inter-host transmission that result in distinct genomic features, or genomic syndromes, in symbionts. Although less studied, hosts also innovate in order to preserve and control symbiotic partnerships. New capabilities to sequence host-associated microbial communities and to experimentally manipulate both hosts and symbionts are providing unprecedented insights into how genetic innovations arise under different symbiont population structures and how these innovations function to support symbiotic relationships.
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Affiliation(s)
- Julie Perreau
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas, USA
| | - Nancy A Moran
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas, USA.
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34
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Abstract
Minimizing false positives is a critical issue when variant calling as no method is without error. It is common practice to post-process a variant-call file (VCF) using hard filter criteria intended to discriminate true-positive (TP) from false-positive (FP) calls. These are applied on the simple principle that certain characteristics are disproportionately represented among the set of FP calls and that a user-chosen threshold can maximize the number detected. To provide guidance on this issue, this study empirically characterized all false SNP and indel calls made using real Illumina sequencing data from six disparate species and 166 variant-calling pipelines (the combination of 14 read aligners with up to 13 different variant callers, plus four ‘all-in-one’ pipelines). We did not seek to optimize filter thresholds but instead to draw attention to those filters of greatest efficacy and the pipelines to which they may most usefully be applied. In this respect, this study acts as a coda to our previous benchmarking evaluation of bacterial variant callers, and provides general recommendations for effective practice. The results suggest that, of the pipelines analysed in this study, the most straightforward way of minimizing false positives would simply be to use Snippy. We also find that a disproportionate number of false calls, irrespective of the variant-calling pipeline, are located in the vicinity of indels, and highlight this as an issue for future development.
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Affiliation(s)
- Stephen J Bush
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
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35
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Maddamsetti R, Grant NA. Divergent Evolution of Mutation Rates and Biases in the Long-Term Evolution Experiment with Escherichia coli. Genome Biol Evol 2021; 12:1591-1603. [PMID: 32853353 PMCID: PMC7523724 DOI: 10.1093/gbe/evaa178] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/21/2020] [Indexed: 12/20/2022] Open
Abstract
All organisms encode enzymes that replicate, maintain, pack, recombine, and repair their genetic material. For this reason, mutation rates and biases also evolve by mutation, variation, and natural selection. By examining metagenomic time series of the Lenski long-term evolution experiment (LTEE) with Escherichia coli (Good BH, McDonald MJ, Barrick JE, Lenski RE, Desai MM. 2017. The dynamics of molecular evolution over 60,000 generations. Nature 551(7678):45–50.), we find that local mutation rate variation has evolved during the LTEE. Each LTEE population has evolved idiosyncratic differences in their rates of point mutations, indels, and mobile element insertions, due to the fixation of various hypermutator and antimutator alleles. One LTEE population, called Ara+3, shows a strong, symmetric wave pattern in its density of point mutations, radiating from the origin of replication. This pattern is largely missing from the other LTEE populations, most of which evolved missense, indel, or structural mutations in topA, fis, and dusB—loci that all affect DNA topology. The distribution of mutations in those genes over time suggests epistasis and historical contingency in the evolution of DNA topology, which may have in turn affected local mutation rates. Overall, the replicate populations of the LTEE have largely diverged in their mutation rates and biases, even though they have adapted to identical abiotic conditions.
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Affiliation(s)
| | - Nkrumah A Grant
- BEACON Center for the Study of Evolution in Action, Michigan State University.,Department of Microbiology and Molecular Genetics, Michigan State University.,Program in Ecology, Evolutionary Biology and Behavior, Michigan State University
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36
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Hildebrand F, Gossmann TI, Frioux C, Özkurt E, Myers PN, Ferretti P, Kuhn M, Bahram M, Nielsen HB, Bork P. Dispersal strategies shape persistence and evolution of human gut bacteria. Cell Host Microbe 2021; 29:1167-1176.e9. [PMID: 34111423 PMCID: PMC8288446 DOI: 10.1016/j.chom.2021.05.008] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 03/19/2021] [Accepted: 05/14/2021] [Indexed: 02/07/2023]
Abstract
Human gut bacterial strains can co-exist with their hosts for decades, but little is known about how these microbes persist and disperse, and evolve thereby. Here, we examined these processes in 5,278 adult and infant fecal metagenomes, longitudinally sampled in individuals and families. Our analyses revealed that a subset of gut species is extremely persistent in individuals, families, and geographic regions, represented often by locally successful strains of the phylum Bacteroidota. These “tenacious” bacteria show high levels of genetic adaptation to the human host but a high probability of loss upon antibiotic interventions. By contrast, heredipersistent bacteria, notably Firmicutes, often rely on dispersal strategies with weak phylogeographic patterns but strong family transmissions, likely related to sporulation. These analyses describe how different dispersal strategies can lead to the long-term persistence of human gut microbes with implications for gut flora modulations. Bacterial strains may persist within family members through transfer Bacteria adapt dispersal strategies: heredipersistent, spatiopersistent, and tenacious Dispersal strategies correlate with genetic bottlenecks and effective population size
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Affiliation(s)
- Falk Hildebrand
- Gut Microbes and Health, Quadram Institute Bioscience, NR4 7UQ Norwich, UK; Digital Biology, Earlham Institute, NR4 7UZ Norwich, UK; European Molecular Biology Laboratory, Structural and Computational Biology Unit, 69117 Heidelberg, Germany.
| | - Toni I Gossmann
- Department of Animal Behaviour, Bielefeld University, Bielefeld DE-33501, Germany
| | - Clémence Frioux
- Gut Microbes and Health, Quadram Institute Bioscience, NR4 7UQ Norwich, UK; Inria, INRAE, CNRS, Univ. Bordeaux, 33405 Talence, France
| | - Ezgi Özkurt
- Gut Microbes and Health, Quadram Institute Bioscience, NR4 7UQ Norwich, UK; Digital Biology, Earlham Institute, NR4 7UZ Norwich, UK
| | - Pernille Neve Myers
- Clinical Microbiomics A/S, Copenhagen, Denmark; Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
| | - Pamela Ferretti
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, 69117 Heidelberg, Germany
| | - Michael Kuhn
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, 69117 Heidelberg, Germany
| | - Mohammad Bahram
- Department of Ecology, Swedish University of Agricultural Sciences, Ulls väg 16, 750 07 Uppsala, Sweden; Institute of Ecology and Earth Sciences, University of Tartu, Vanemuise 46, 51014 Tartu, Estonia
| | | | - Peer Bork
- European Molecular Biology Laboratory, Structural and Computational Biology Unit, 69117 Heidelberg, Germany; Max Delbrück Center for Molecular Medicine, Berlin, Germany; Yonsei Frontier Lab (YFL), Yonsei University, Seoul 03722, South Korea; Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.
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37
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Motta JP, Wallace JL, Buret AG, Deraison C, Vergnolle N. Gastrointestinal biofilms in health and disease. Nat Rev Gastroenterol Hepatol 2021; 18:314-334. [PMID: 33510461 DOI: 10.1038/s41575-020-00397-y] [Citation(s) in RCA: 117] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/25/2020] [Indexed: 01/30/2023]
Abstract
Microorganisms colonize various ecological niches in the human habitat, as they do in nature. Predominant forms of multicellular communities called biofilms colonize human tissue surfaces. The gastrointestinal tract is home to a profusion of microorganisms with intertwined, but not identical, lifestyles: as isolated planktonic cells, as biofilms and in biofilm-dispersed form. It is therefore of major importance in understanding homeostatic and altered host-microorganism interactions to consider not only the planktonic lifestyle, but also biofilms and biofilm-dispersed forms. In this Review, we discuss the natural organization of microorganisms at gastrointestinal surfaces, stratification of microbiota taxonomy, biogeographical localization and trans-kingdom interactions occurring within the biofilm habitat. We also discuss existing models used to study biofilms. We assess the contribution of the host-mucosa biofilm relationship to gut homeostasis and to diseases. In addition, we describe how host factors can shape the organization, structure and composition of mucosal biofilms, and how biofilms themselves are implicated in a variety of homeostatic and pathological processes in the gut. Future studies characterizing biofilm nature, physical properties, composition and intrinsic communication could shed new light on gut physiology and lead to potential novel therapeutic options for gastrointestinal diseases.
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Affiliation(s)
- Jean-Paul Motta
- Institute of Digestive Health Research, IRSD, INSERM U1220, Toulouse, France.
| | - John L Wallace
- Department of Physiology & Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Antibe Therapeutics Inc., Toronto, ON, Canada
| | - André G Buret
- Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
| | - Céline Deraison
- Institute of Digestive Health Research, IRSD, INSERM U1220, Toulouse, France
| | - Nathalie Vergnolle
- Institute of Digestive Health Research, IRSD, INSERM U1220, Toulouse, France. .,Department of Physiology & Pharmacology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
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38
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Yilmaz B, Mooser C, Keller I, Li H, Zimmermann J, Bosshard L, Fuhrer T, Gomez de Agüero M, Trigo NF, Tschanz-Lischer H, Limenitakis JP, Hardt WD, McCoy KD, Stecher B, Excoffier L, Sauer U, Ganal-Vonarburg SC, Macpherson AJ. Long-term evolution and short-term adaptation of microbiota strains and sub-strains in mice. Cell Host Microbe 2021; 29:650-663.e9. [PMID: 33662276 DOI: 10.1016/j.chom.2021.02.001] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/23/2020] [Accepted: 01/28/2021] [Indexed: 12/18/2022]
Abstract
Isobiotic mice, with an identical stable microbiota composition, potentially allow models of host-microbial mutualism to be studied over time and between different laboratories. To understand microbiota evolution in these models, we carried out a 6-year experiment in mice colonized with 12 representative taxa. Increased non-synonymous to synonymous mutation rates indicate positive selection in multiple taxa, particularly for genes annotated for nutrient acquisition or replication. Microbial sub-strains that evolved within a single taxon can stably coexist, consistent with niche partitioning of ecotypes in the complex intestinal environment. Dietary shifts trigger rapid transcriptional adaptation to macronutrient and micronutrient changes in individual taxa and alterations in taxa biomass. The proportions of different sub-strains are also rapidly altered after dietary shift. This indicates that microbial taxa within a mouse colony adapt to changes in the intestinal environment by long-term genomic positive selection and short-term effects of transcriptional reprogramming and adjustments in sub-strain proportions.
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Affiliation(s)
- Bahtiyar Yilmaz
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
| | - Catherine Mooser
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
| | - Irene Keller
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Interfaculty Bioinformatics Unit and Swiss Institute of Bioinformatics, University of Bern, Bern, 3012, Switzerland
| | - Hai Li
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
| | - Jakob Zimmermann
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
| | - Lars Bosshard
- Interfaculty Bioinformatics Unit and Swiss Institute of Bioinformatics, University of Bern, Bern, 3012, Switzerland; CMPG, Institute of Ecology and Evolution, University of Bern, 3012 Bern, Switzerland
| | - Tobias Fuhrer
- Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zürich, 8093 Zürich, Switzerland
| | - Mercedes Gomez de Agüero
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
| | - Nerea Fernandez Trigo
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
| | - Heidi Tschanz-Lischer
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Interfaculty Bioinformatics Unit and Swiss Institute of Bioinformatics, University of Bern, Bern, 3012, Switzerland
| | - Julien P Limenitakis
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
| | | | - Kathy D McCoy
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
| | - Bärbel Stecher
- Max-von-Pettenkofer Institute, LMU Munich, 80336 Munich, Germany; German Center for Infection Research (DZIF), partner site LMU Munich, 80539 Munich, Germany
| | - Laurent Excoffier
- Interfaculty Bioinformatics Unit and Swiss Institute of Bioinformatics, University of Bern, Bern, 3012, Switzerland; CMPG, Institute of Ecology and Evolution, University of Bern, 3012 Bern, Switzerland
| | - Uwe Sauer
- Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zürich, 8093 Zürich, Switzerland
| | - Stephanie C Ganal-Vonarburg
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3008 Bern, Switzerland
| | - Andrew J Macpherson
- Maurice Müller Laboratories, Department for Biomedical Research, University of Bern, 3008 Bern, Switzerland; Department of Visceral Surgery and Medicine, Bern University Hospital, University of Bern, 3008 Bern, Switzerland.
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39
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Puvača N, de Llanos Frutos R. Antimicrobial Resistance in Escherichia coli Strains Isolated from Humans and Pet Animals. Antibiotics (Basel) 2021; 10:69. [PMID: 33450827 PMCID: PMC7828219 DOI: 10.3390/antibiotics10010069] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/06/2021] [Accepted: 01/12/2021] [Indexed: 12/12/2022] Open
Abstract
Throughout scientific literature, we can find evidence that antimicrobial resistance has become a big problem in the recent years on a global scale. Public healthcare systems all over the world are faced with a great challenge in this respect. Obviously, there are many bacteria that can cause infections in humans and animals alike, but somehow it seems that the greatest threat nowadays comes from the Enterobacteriaceae members, especially Escherichia coli. Namely, we are witnesses to the fact that the systems that these bacteria developed to fight off antibiotics are the strongest and most diverse in Enterobacteriaceae. Our great advantage is in understanding the systems that bacteria developed to fight off antibiotics, so these can help us understand the connection between these microorganisms and the occurrence of antibiotic-resistance both in humans and their pets. Furthermore, unfavorable conditions related to the ease of E. coli transmission via the fecal-oral route among humans, environmental sources, and animals only add to the problem. For all the above stated reasons, it is evident that the epidemiology of E. coli strains and resistance mechanisms they have developed over time are extremely significant topics and all scientific findings in this area will be of vital importance in the fight against infections caused by these bacteria.
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Affiliation(s)
- Nikola Puvača
- Faculty of Biomedical and Health Sciences, Jaume I University, Avinguda de Vicent Sos Baynat, s/n, 12071 Castelló de la Plana, Spain;
- Department of Engineering Management in Biotechnology, Faculty of Economics and Engineering Management in Novi Sad, University Business Academy in Novi Sad, Cvećarska 2, 21000 Novi Sad, Serbia
| | - Rosa de Llanos Frutos
- Faculty of Biomedical and Health Sciences, Jaume I University, Avinguda de Vicent Sos Baynat, s/n, 12071 Castelló de la Plana, Spain;
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40
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Domingo-Sananes MR, McInerney JO. Mechanisms That Shape Microbial Pangenomes. Trends Microbiol 2021; 29:493-503. [PMID: 33423895 DOI: 10.1016/j.tim.2020.12.004] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 12/09/2020] [Accepted: 12/10/2020] [Indexed: 01/02/2023]
Abstract
Analyses of multiple whole-genome sequences from the same species have revealed that differences in gene content can be substantial, particularly in prokaryotes. Such variation has led to the recognition of pangenomes, the complete set of genes present in a species - consisting of core genes, present in all individuals, and accessory genes whose presence is variable. Questions now arise about how pangenomes originate and evolve. We describe how gene content variation can arise as a result of the combination of several processes, including random drift, selection, gain/loss balance, and the influence of ecological and epistatic interactions. We believe that identifying the contributions of these processes to pangenomes will need novel theoretical approaches and empirical data.
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Affiliation(s)
- Maria Rosa Domingo-Sananes
- School of Life Sciences, University of Nottingham, Nottingham, UK; School of Science and Technology, Nottingham Trent University, Nottingham, UK.
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41
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Barreto HC, Frazão N, Sousa A, Konrad A, Gordo I. Mutation accumulation and horizontal gene transfer in Escherichia coli colonizing the gut of old mice. Commun Integr Biol 2020; 13:89-96. [PMID: 33014261 PMCID: PMC7518454 DOI: 10.1080/19420889.2020.1783059] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 06/09/2020] [Accepted: 06/10/2020] [Indexed: 12/03/2022] Open
Abstract
The ecology and environment of the microbes that inhabit the mammalian intestine undergoes several changes as the host ages. Here, we ask if the selection pressure experienced by a new strain colonizing the aging gut differs from that in the gut of young adults. Using experimental evolution in mice after a short antibiotic treatment, as a model for a common clinical situation, we show that a new colonizing E. coli strain rapidly adapts to the aging gut via both mutation accumulation and bacteriophage-mediated horizontal gene transfer (HGT). The pattern of evolution of E. coli in aging mice is characterized by a larger number of transposable element insertions and intergenic mutations compared to that in young mice, which is consistent with the gut of aging hosts harboring a stressful and iron limiting environment.
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Affiliation(s)
| | | | - Ana Sousa
- IBiMed, Institute for Biomedicine, Universidade de Aveiro, Aveiro, Portugal
| | - Anke Konrad
- Instituto Gulbenkian de Ciência, Oeiras, Portugal
| | - Isabel Gordo
- Instituto Gulbenkian de Ciência, Oeiras, Portugal
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