A High-Throughput Approach for Identification of Nontuberculous Mycobacteria in Drinking Water Reveals Relationship between Water Age and <italic toggle="yes">Mycobacterium avium</italic>

ABSTRACT Nontuberculous mycobacteria (NTM) frequently detected in drinking water (DW) include species associated with human infections, as well as species rarely linked to disease. Methods for improved the recovery of NTM DNA and high-throughput identification of NTM are needed for risk assessment o...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Sarah-Jane Haig, Nadine Kotlarz, John J. LiPuma, Lutgarde Raskin
Formato: article
Lenguaje:EN
Publicado: American Society for Microbiology 2018
Materias:
NTM
Acceso en línea:https://doaj.org/article/b985a90742a24843a7ee439ae9f0e935
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:b985a90742a24843a7ee439ae9f0e935
record_format dspace
spelling oai:doaj.org-article:b985a90742a24843a7ee439ae9f0e9352021-11-15T15:53:26ZA High-Throughput Approach for Identification of Nontuberculous Mycobacteria in Drinking Water Reveals Relationship between Water Age and <italic toggle="yes">Mycobacterium avium</italic>10.1128/mBio.02354-172150-7511https://doaj.org/article/b985a90742a24843a7ee439ae9f0e9352018-03-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.02354-17https://doaj.org/toc/2150-7511ABSTRACT Nontuberculous mycobacteria (NTM) frequently detected in drinking water (DW) include species associated with human infections, as well as species rarely linked to disease. Methods for improved the recovery of NTM DNA and high-throughput identification of NTM are needed for risk assessment of NTM infection through DW exposure. In this study, different methods of recovering bacterial DNA from DW were compared, revealing that a phenol-chloroform DNA extraction method yielded two to four times as much total DNA and eight times as much NTM DNA as two commercial DNA extraction kits. This method, combined with high-throughput, single-molecule real-time sequencing of NTM rpoB genes, allowed the identification of NTM to the species, subspecies, and (in some cases) strain levels. This approach was applied to DW samples collected from 15 households serviced by a chloraminated distribution system, with homes located in areas representing short (<24 h) and long (>24 h) distribution system residence times. Multivariate statistical analysis revealed that greater water age (i.e., combined distribution system residence time and home plumbing stagnation time) was associated with a greater relative abundance of Mycobacterium avium subsp. avium, one of the most prevalent NTM causing infections in humans. DW from homes closer to the treatment plant (with a shorter water age) contained more diverse NTM species, including Mycobacterium abscessus and Mycobacterium chelonae. Overall, our approach allows NTM identification to the species and subspecies levels and can be used in future studies to assess the risk of waterborne infection by providing insight into the similarity between environmental and infection-associated NTM. IMPORTANCE An extraction method for improved recovery of DNA from nontuberculous mycobacteria (NTM), combined with single-molecule real-time sequencing (PacBio) of NTM rpoB genes, was used for high-throughput characterization of NTM species and in some cases strains in drinking water (DW). The extraction procedure recovered, on average, eight times as much NTM DNA and three times as much total DNA from DW as two widely used commercial DNA extraction kits. The combined DNA extraction and sequencing approach allowed high-throughput screening of DW samples to identify NTM, revealing that the relative abundance of Mycobacterium avium subsp. avium increased with water age. Furthermore, the two-step barcoding approach developed as part of the PacBio sequencing method makes this procedure highly adaptable, allowing it to be used for other target genes and species.Sarah-Jane HaigNadine KotlarzJohn J. LiPumaLutgarde RaskinAmerican Society for MicrobiologyarticleDNA extractiondrinking waterMycobacterium aviumNTMPacBiopremise plumbingMicrobiologyQR1-502ENmBio, Vol 9, Iss 1 (2018)
institution DOAJ
collection DOAJ
language EN
topic DNA extraction
drinking water
Mycobacterium avium
NTM
PacBio
premise plumbing
Microbiology
QR1-502
spellingShingle DNA extraction
drinking water
Mycobacterium avium
NTM
PacBio
premise plumbing
Microbiology
QR1-502
Sarah-Jane Haig
Nadine Kotlarz
John J. LiPuma
Lutgarde Raskin
A High-Throughput Approach for Identification of Nontuberculous Mycobacteria in Drinking Water Reveals Relationship between Water Age and <italic toggle="yes">Mycobacterium avium</italic>
description ABSTRACT Nontuberculous mycobacteria (NTM) frequently detected in drinking water (DW) include species associated with human infections, as well as species rarely linked to disease. Methods for improved the recovery of NTM DNA and high-throughput identification of NTM are needed for risk assessment of NTM infection through DW exposure. In this study, different methods of recovering bacterial DNA from DW were compared, revealing that a phenol-chloroform DNA extraction method yielded two to four times as much total DNA and eight times as much NTM DNA as two commercial DNA extraction kits. This method, combined with high-throughput, single-molecule real-time sequencing of NTM rpoB genes, allowed the identification of NTM to the species, subspecies, and (in some cases) strain levels. This approach was applied to DW samples collected from 15 households serviced by a chloraminated distribution system, with homes located in areas representing short (<24 h) and long (>24 h) distribution system residence times. Multivariate statistical analysis revealed that greater water age (i.e., combined distribution system residence time and home plumbing stagnation time) was associated with a greater relative abundance of Mycobacterium avium subsp. avium, one of the most prevalent NTM causing infections in humans. DW from homes closer to the treatment plant (with a shorter water age) contained more diverse NTM species, including Mycobacterium abscessus and Mycobacterium chelonae. Overall, our approach allows NTM identification to the species and subspecies levels and can be used in future studies to assess the risk of waterborne infection by providing insight into the similarity between environmental and infection-associated NTM. IMPORTANCE An extraction method for improved recovery of DNA from nontuberculous mycobacteria (NTM), combined with single-molecule real-time sequencing (PacBio) of NTM rpoB genes, was used for high-throughput characterization of NTM species and in some cases strains in drinking water (DW). The extraction procedure recovered, on average, eight times as much NTM DNA and three times as much total DNA from DW as two widely used commercial DNA extraction kits. The combined DNA extraction and sequencing approach allowed high-throughput screening of DW samples to identify NTM, revealing that the relative abundance of Mycobacterium avium subsp. avium increased with water age. Furthermore, the two-step barcoding approach developed as part of the PacBio sequencing method makes this procedure highly adaptable, allowing it to be used for other target genes and species.
format article
author Sarah-Jane Haig
Nadine Kotlarz
John J. LiPuma
Lutgarde Raskin
author_facet Sarah-Jane Haig
Nadine Kotlarz
John J. LiPuma
Lutgarde Raskin
author_sort Sarah-Jane Haig
title A High-Throughput Approach for Identification of Nontuberculous Mycobacteria in Drinking Water Reveals Relationship between Water Age and <italic toggle="yes">Mycobacterium avium</italic>
title_short A High-Throughput Approach for Identification of Nontuberculous Mycobacteria in Drinking Water Reveals Relationship between Water Age and <italic toggle="yes">Mycobacterium avium</italic>
title_full A High-Throughput Approach for Identification of Nontuberculous Mycobacteria in Drinking Water Reveals Relationship between Water Age and <italic toggle="yes">Mycobacterium avium</italic>
title_fullStr A High-Throughput Approach for Identification of Nontuberculous Mycobacteria in Drinking Water Reveals Relationship between Water Age and <italic toggle="yes">Mycobacterium avium</italic>
title_full_unstemmed A High-Throughput Approach for Identification of Nontuberculous Mycobacteria in Drinking Water Reveals Relationship between Water Age and <italic toggle="yes">Mycobacterium avium</italic>
title_sort high-throughput approach for identification of nontuberculous mycobacteria in drinking water reveals relationship between water age and <italic toggle="yes">mycobacterium avium</italic>
publisher American Society for Microbiology
publishDate 2018
url https://doaj.org/article/b985a90742a24843a7ee439ae9f0e935
work_keys_str_mv AT sarahjanehaig ahighthroughputapproachforidentificationofnontuberculousmycobacteriaindrinkingwaterrevealsrelationshipbetweenwaterageanditalictoggleyesmycobacteriumaviumitalic
AT nadinekotlarz ahighthroughputapproachforidentificationofnontuberculousmycobacteriaindrinkingwaterrevealsrelationshipbetweenwaterageanditalictoggleyesmycobacteriumaviumitalic
AT johnjlipuma ahighthroughputapproachforidentificationofnontuberculousmycobacteriaindrinkingwaterrevealsrelationshipbetweenwaterageanditalictoggleyesmycobacteriumaviumitalic
AT lutgarderaskin ahighthroughputapproachforidentificationofnontuberculousmycobacteriaindrinkingwaterrevealsrelationshipbetweenwaterageanditalictoggleyesmycobacteriumaviumitalic
AT sarahjanehaig highthroughputapproachforidentificationofnontuberculousmycobacteriaindrinkingwaterrevealsrelationshipbetweenwaterageanditalictoggleyesmycobacteriumaviumitalic
AT nadinekotlarz highthroughputapproachforidentificationofnontuberculousmycobacteriaindrinkingwaterrevealsrelationshipbetweenwaterageanditalictoggleyesmycobacteriumaviumitalic
AT johnjlipuma highthroughputapproachforidentificationofnontuberculousmycobacteriaindrinkingwaterrevealsrelationshipbetweenwaterageanditalictoggleyesmycobacteriumaviumitalic
AT lutgarderaskin highthroughputapproachforidentificationofnontuberculousmycobacteriaindrinkingwaterrevealsrelationshipbetweenwaterageanditalictoggleyesmycobacteriumaviumitalic
_version_ 1718427298481307648