Using Bacterial Transcriptomics to Investigate Targets of Host-Bacterial Interactions in Caenorhabditis elegans

The interactions between a host and its resident microbes form complicated networks that can affect host physiology. Disentangling these host-microbe interactions can help us better understand mechanisms by which bacteria affect hosts, while also defining the integral commensal protection that host-...

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Published inScientific reports Vol. 9; no. 1; p. 5545
Main Authors Chan, Jason P., Wright, Justin R., Wong, Hoi Tong, Ardasheva, Anastasia, Brumbaugh, Jamey, McLimans, Christopher, Lamendella, Regina
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 03.04.2019
Nature Publishing Group
Subjects
631/326/2565/2142
631/326/325/1506
631/326/41/2482
631/326/41/2533
631/337/2019
64/11
Aging
Aging - physiology
Animals
Bacteria
Caenorhabditis elegans
Caenorhabditis elegans - genetics
Caenorhabditis elegans - microbiology
Caenorhabditis elegans - physiology
Caenorhabditis elegans Proteins - genetics
E coli
Escherichia coli - genetics
Escherichia coli - metabolism
Escherichia coli Proteins - genetics
Escherichia coli Proteins - metabolism
Forkhead protein
Forkhead Transcription Factors - genetics
Gastrointestinal Microbiome - physiology
Gene expression
Gene Expression Profiling
Gene Expression Regulation, Bacterial
Genetics
Health promotion
Humanities and Social Sciences
Insulin
Insulin-like growth factors
Lipopolysaccharides
Metabolic pathways
Metabolism
Microbiota
multidisciplinary
Mutation
Nematodes
Pathogenicity
Pathogens
Proof of Concept Study
Receptor, Insulin - genetics
Science
Science (multidisciplinary)
Temperature
Worms
Online AccessGet full text

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Abstract The interactions between a host and its resident microbes form complicated networks that can affect host physiology. Disentangling these host-microbe interactions can help us better understand mechanisms by which bacteria affect hosts, while also defining the integral commensal protection that host-associated microbiota offer to promote health. Here we utilize a tractable genetic model organism, Caenorhabditis elegans , to study the effects of host environments on bacterial gene expression and metabolic pathways. First, we compared the transcriptomic profiles of E . coli OP50 in vitro (on agar plates) versus in vivo (fed to C . elegans host). Our data revealed that 110 biosynthetic genes were enriched in host-associated E . coli . Several of these expressed genes code for the precursors and products needed for the synthesis of lipopolysaccharides (LPS), which are important for innate immune and stress responses, as well as pathogenicity. Secondly, we compared the transcriptomic profiles of E . coli fed to hosts with different genetic backgrounds, including the long-lived daf-2 /insulin like growth factor (IGF) receptor and short lived daf-16 /FOXO transcription factor mutants. We find that hosts genetics also alters bacterial metabolic pathways. Given that bacteria influence host health, this transcriptomics approach can elucidate genes mediating host aging.
AbstractList The interactions between a host and its resident microbes form complicated networks that can affect host physiology. Disentangling these host-microbe interactions can help us better understand mechanisms by which bacteria affect hosts, while also defining the integral commensal protection that host-associated microbiota offer to promote health. Here we utilize a tractable genetic model organism, Caenorhabditis elegans , to study the effects of host environments on bacterial gene expression and metabolic pathways. First, we compared the transcriptomic profiles of E . coli OP50 in vitro (on agar plates) versus in vivo (fed to C . elegans host). Our data revealed that 110 biosynthetic genes were enriched in host-associated E . coli . Several of these expressed genes code for the precursors and products needed for the synthesis of lipopolysaccharides (LPS), which are important for innate immune and stress responses, as well as pathogenicity. Secondly, we compared the transcriptomic profiles of E . coli fed to hosts with different genetic backgrounds, including the long-lived daf-2 /insulin like growth factor (IGF) receptor and short lived daf-16 /FOXO transcription factor mutants. We find that hosts genetics also alters bacterial metabolic pathways. Given that bacteria influence host health, this transcriptomics approach can elucidate genes mediating host aging.
The interactions between a host and its resident microbes form complicated networks that can affect host physiology. Disentangling these host-microbe interactions can help us better understand mechanisms by which bacteria affect hosts, while also defining the integral commensal protection that host-associated microbiota offer to promote health. Here we utilize a tractable genetic model organism, Caenorhabditis elegans, to study the effects of host environments on bacterial gene expression and metabolic pathways. First, we compared the transcriptomic profiles of E. coli OP50 in vitro (on agar plates) versus in vivo (fed to C. elegans host). Our data revealed that 110 biosynthetic genes were enriched in host-associated E. coli. Several of these expressed genes code for the precursors and products needed for the synthesis of lipopolysaccharides (LPS), which are important for innate immune and stress responses, as well as pathogenicity. Secondly, we compared the transcriptomic profiles of E. coli fed to hosts with different genetic backgrounds, including the long-lived daf-2/insulin like growth factor (IGF) receptor and short lived daf-16/FOXO transcription factor mutants. We find that hosts genetics also alters bacterial metabolic pathways. Given that bacteria influence host health, this transcriptomics approach can elucidate genes mediating host aging.The interactions between a host and its resident microbes form complicated networks that can affect host physiology. Disentangling these host-microbe interactions can help us better understand mechanisms by which bacteria affect hosts, while also defining the integral commensal protection that host-associated microbiota offer to promote health. Here we utilize a tractable genetic model organism, Caenorhabditis elegans, to study the effects of host environments on bacterial gene expression and metabolic pathways. First, we compared the transcriptomic profiles of E. coli OP50 in vitro (on agar plates) versus in vivo (fed to C. elegans host). Our data revealed that 110 biosynthetic genes were enriched in host-associated E. coli. Several of these expressed genes code for the precursors and products needed for the synthesis of lipopolysaccharides (LPS), which are important for innate immune and stress responses, as well as pathogenicity. Secondly, we compared the transcriptomic profiles of E. coli fed to hosts with different genetic backgrounds, including the long-lived daf-2/insulin like growth factor (IGF) receptor and short lived daf-16/FOXO transcription factor mutants. We find that hosts genetics also alters bacterial metabolic pathways. Given that bacteria influence host health, this transcriptomics approach can elucidate genes mediating host aging.
The interactions between a host and its resident microbes form complicated networks that can affect host physiology. Disentangling these host-microbe interactions can help us better understand mechanisms by which bacteria affect hosts, while also defining the integral commensal protection that host-associated microbiota offer to promote health. Here we utilize a tractable genetic model organism, Caenorhabditis elegans, to study the effects of host environments on bacterial gene expression and metabolic pathways. First, we compared the transcriptomic profiles of E. coli OP50 in vitro (on agar plates) versus in vivo (fed to C. elegans host). Our data revealed that 110 biosynthetic genes were enriched in host-associated E. coli. Several of these expressed genes code for the precursors and products needed for the synthesis of lipopolysaccharides (LPS), which are important for innate immune and stress responses, as well as pathogenicity. Secondly, we compared the transcriptomic profiles of E. coli fed to hosts with different genetic backgrounds, including the long-lived daf-2/insulin like growth factor (IGF) receptor and short lived daf-16/FOXO transcription factor mutants. We find that hosts genetics also alters bacterial metabolic pathways. Given that bacteria influence host health, this transcriptomics approach can elucidate genes mediating host aging.
ArticleNumber 5545
Author Wong, Hoi Tong
McLimans, Christopher
Ardasheva, Anastasia
Brumbaugh, Jamey
Wright, Justin R.
Lamendella, Regina
Chan, Jason P.
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  organization: Department of Biology, Juniata College
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Snippet The interactions between a host and its resident microbes form complicated networks that can affect host physiology. Disentangling these host-microbe...
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SubjectTerms 631/326/2565/2142
631/326/325/1506
631/326/41/2482
631/326/41/2533
631/337/2019
64/11
Aging
Aging - physiology
Animals
Bacteria
Caenorhabditis elegans
Caenorhabditis elegans - genetics
Caenorhabditis elegans - microbiology
Caenorhabditis elegans - physiology
Caenorhabditis elegans Proteins - genetics
E coli
Escherichia coli - genetics
Escherichia coli - metabolism
Escherichia coli Proteins - genetics
Escherichia coli Proteins - metabolism
Forkhead protein
Forkhead Transcription Factors - genetics
Gastrointestinal Microbiome - physiology
Gene expression
Gene Expression Profiling
Gene Expression Regulation, Bacterial
Genetics
Health promotion
Humanities and Social Sciences
Insulin
Insulin-like growth factors
Lipopolysaccharides
Metabolic pathways
Metabolism
Microbiota
multidisciplinary
Mutation
Nematodes
Pathogenicity
Pathogens
Proof of Concept Study
Receptor, Insulin - genetics
Science
Science (multidisciplinary)
Temperature
Worms
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Title Using Bacterial Transcriptomics to Investigate Targets of Host-Bacterial Interactions in Caenorhabditis elegans
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