Multiplex Hybrid Capture Improves the Deep Detection of Antimicrobial Resistance Genes from Wastewater Treatment Plant Effluents to Assess Environmental Issues

Metagenomic sequencing (mDNA-seq) is one of the best approaches to address antimicrobial resistance (AMR) issues and characterize AMR genes (ARGs) and their host bacteria (ARB); however, the sensitivity provided is insufficient for the overall detection in wastewater treatment plant (WWTP) effluents...

Full description

Saved in:
Bibliographic Details
Published inMicrobial drug resistance (Larchmont, N.Y.)
Main Authors Sekizuka, Tsuyoshi, Yamaguchi, Nobuyasu, Kanamori, Hajime, Kuroda, Makoto
Format Journal Article
LanguageEnglish
Japanese
Published United States 01.11.2023
Subjects
Online AccessGet more information

Cover

Loading…
Abstract Metagenomic sequencing (mDNA-seq) is one of the best approaches to address antimicrobial resistance (AMR) issues and characterize AMR genes (ARGs) and their host bacteria (ARB); however, the sensitivity provided is insufficient for the overall detection in wastewater treatment plant (WWTP) effluents because the effluent is well treated. This study investigated the multiplex hybrid capture (xHYB) method (QIAseq × HYB AMR Panel) and its potential to increase AMR assessment sensitivity. The mDNA-Seq analysis suggested that the WWTP effluents had an average of 104 reads per kilobase of gene per million (RPKM) for the detection of all targeted ARGs, whereas xHYB significantly improved detection at 601,576 RPKM, indicating an average 5,805-fold increase in sensitivity. For instance, was detected at 15 and 114,229 RPKM using mDNA-seq and xHYB, respectively. The , , and gene variants were not detected by mDNA-Seq but were detected by xHYB at 67, 20, and 1,010 RPKM, respectively. This study demonstrates that the multiplex xHYB method could be a suitable evaluation standard with high sensitivity and specificity for deep-dive detection, highlighting a broader illustration of ongoing dissemination in the entire community.
AbstractList Metagenomic sequencing (mDNA-seq) is one of the best approaches to address antimicrobial resistance (AMR) issues and characterize AMR genes (ARGs) and their host bacteria (ARB); however, the sensitivity provided is insufficient for the overall detection in wastewater treatment plant (WWTP) effluents because the effluent is well treated. This study investigated the multiplex hybrid capture (xHYB) method (QIAseq × HYB AMR Panel) and its potential to increase AMR assessment sensitivity. The mDNA-Seq analysis suggested that the WWTP effluents had an average of 104 reads per kilobase of gene per million (RPKM) for the detection of all targeted ARGs, whereas xHYB significantly improved detection at 601,576 RPKM, indicating an average 5,805-fold increase in sensitivity. For instance, was detected at 15 and 114,229 RPKM using mDNA-seq and xHYB, respectively. The , , and gene variants were not detected by mDNA-Seq but were detected by xHYB at 67, 20, and 1,010 RPKM, respectively. This study demonstrates that the multiplex xHYB method could be a suitable evaluation standard with high sensitivity and specificity for deep-dive detection, highlighting a broader illustration of ongoing dissemination in the entire community.
Author Sekizuka, Tsuyoshi
Yamaguchi, Nobuyasu
Kanamori, Hajime
Kuroda, Makoto
Author_xml – sequence: 1
  givenname: Tsuyoshi
  surname: Sekizuka
  fullname: Sekizuka, Tsuyoshi
  organization: Pathogen Genomics Center, National Institute of Infectious Diseases, Shinjyuku, Tokyo, Japan
– sequence: 2
  givenname: Nobuyasu
  surname: Yamaguchi
  fullname: Yamaguchi, Nobuyasu
  organization: Department of Environmental Health, Osaka Institute of Public Health, Osaka, Japan
– sequence: 3
  givenname: Hajime
  surname: Kanamori
  fullname: Kanamori, Hajime
  organization: Department of Infectious Diseases, Internal Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
– sequence: 4
  givenname: Makoto
  surname: Kuroda
  fullname: Kuroda, Makoto
  organization: Pathogen Genomics Center, National Institute of Infectious Diseases, Shinjyuku, Tokyo, Japan
BackLink https://www.ncbi.nlm.nih.gov/pubmed/37433210$$D View this record in MEDLINE/PubMed
BookMark eNo1kM1KAzEcxIMo9kOPXiUvsDVf3d0cS61toaJIwWNJdv_ByG6yJNlqn8ZXdUW9zDAw8zvMBJ077wChG0pmlJTyrq3DjBHGZ4TQ_AyNqeQ0K4UoR2gS4zshZE5zfolGvBCcM0rG6Ouxb5LtGvjEm5MOtsZL1aU-AN62XfBHiDi9Ab4H6AZJUCXrHfYGL1yyra2C11Y1-AWijUm5CvAa3DAywbf4VcUEHypBwPsAKrXgEn5u1KArY5p-iAPe40WMECNeuaMN3v20BuQ2xh7iFbowqolw_edTtH9Y7ZebbPe03i4Xu6ziQqQsl0STmlGteVEQXSgpazCyBE6FkLKgc-Asr3ItdAGSUpFXppRC0FwAMM2m6PYX2_W6hfrQBduqcDr8H8W-ARffbaQ
ContentType Journal Article
DBID NPM
DOI 10.1089/mdr.2023.0016
DatabaseName PubMed
DatabaseTitle PubMed
DatabaseTitleList PubMed
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
DeliveryMethod no_fulltext_linktorsrc
Discipline Medicine
Biology
Pharmacy, Therapeutics, & Pharmacology
EISSN 1931-8448
ExternalDocumentID 37433210
Genre Journal Article
GroupedDBID ---
0R~
123
29M
4.4
7X7
8C1
AAHBH
ABBKN
ACGFS
ACGOD
ACIWK
ACPRK
ADBBV
AENEX
AFRAH
AHMBA
ALIPV
ALMA_UNASSIGNED_HOLDINGS
BBNVY
BENPR
BNQNF
BPHCQ
CS3
DU5
EBS
F5P
HCIFZ
IAO
IHR
IM4
INH
M7P
MV1
NPM
NQHIM
O9-
P2P
PROAC
RML
UE5
ID FETCH-LOGICAL-c344t-690b0d21bb3770b7a99def98e314499715e326c6b4b7e91146cf8944164ee2b2
IngestDate Thu Apr 03 06:55:02 EDT 2025
IsPeerReviewed true
IsScholarly true
Keywords antimicrobial resistance gene
hybrid capture
effluent
metagenomics
sewage
Language English
Japanese
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c344t-690b0d21bb3770b7a99def98e314499715e326c6b4b7e91146cf8944164ee2b2
PMID 37433210
ParticipantIDs pubmed_primary_37433210
PublicationCentury 2000
PublicationDate 2023-11-01
PublicationDateYYYYMMDD 2023-11-01
PublicationDate_xml – month: 11
  year: 2023
  text: 2023-11-01
  day: 01
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle Microbial drug resistance (Larchmont, N.Y.)
PublicationTitleAlternate Microb Drug Resist
PublicationYear 2023
SSID ssj0005163
Score 2.3538072
Snippet Metagenomic sequencing (mDNA-seq) is one of the best approaches to address antimicrobial resistance (AMR) issues and characterize AMR genes (ARGs) and their...
SourceID pubmed
SourceType Index Database
Title Multiplex Hybrid Capture Improves the Deep Detection of Antimicrobial Resistance Genes from Wastewater Treatment Plant Effluents to Assess Environmental Issues
URI https://www.ncbi.nlm.nih.gov/pubmed/37433210
hasFullText
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ3JbtswEIYJp0WDXIrW3TfMocjFUWstlsRjEKQwWrjIQUVzC0iJSlxDkhFJQJSXyZP03TpDarHTBW0vhCHCluD5RA7JmX8YexvEdhLHKUWqzXzLQ4fAEnYaWokrYnTvVegKrfb52Z9_8T6ezk5Ho-8bUUt1Jd_F17_MK_kfq-I1tCtlyf6DZfsfxQv4Ge2LLVoY27-y8aKNBryazBvKvJocibU-ETBbBaTecEFxQWqNTaXizjs8zKtlttQSTFpbvyQnkt5wEqEuTcrJV1HSvhppKEZ9MDqVOKqoGjMVNqm0OIQ5NZ4cDwlzpN6ha_ptOr6L_nbJZX0-uRzuSTVF6G3Df63ayv1qt37Uanldr7SPG5V1U5QXy36oEpk4p2ou5gRK1o0wdVz0FCJykRUmkX4uvi2zHuFPNc4awmQqrYqq2Nz5cNw2BVBPXGa05q5thZ6R6vxpLpiGJKWaJaT66pCOrUnq3OBinWkw3IBE3Ex07Z97b0lzd107bAcXKVR1lbaKuvgi9HRbUVd8kvdbz7HHdrvv3lrOaLcmesDut-sRODRwPWQjlY_ZPVOhtBmz3UUbezFm-ydG5bw5gGhI2isPYB9OBv3z5hG76bEEgyW0WEKHJSCWQFhCjyUUKWxhCQOWoLEEwhIGLKHHEjSW0GMJVQEGS9jCEgyWj1n04Tg6mlttHRArdj2vsnw-ldPEsaV0g2AqA8F5olIeKtf2cMEe2DOFi5DYl54MFKc0-zgNOfr5vqeUI50n7E5e5OoZA4cnJM3ryxlVopymXDqJS26syz3JE_6cPTXGOFsbrZezzkwvftvzku0NcL5id1McXNRr9FQr-UYT8QOl1prD
linkProvider National Library of Medicine
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Multiplex+Hybrid+Capture+Improves+the+Deep+Detection+of+Antimicrobial+Resistance+Genes+from+Wastewater+Treatment+Plant+Effluents+to+Assess+Environmental+Issues&rft.jtitle=Microbial+drug+resistance+%28Larchmont%2C+N.Y.%29&rft.au=Sekizuka%2C+Tsuyoshi&rft.au=Yamaguchi%2C+Nobuyasu&rft.au=Kanamori%2C+Hajime&rft.au=Kuroda%2C+Makoto&rft.date=2023-11-01&rft.eissn=1931-8448&rft_id=info:doi/10.1089%2Fmdr.2023.0016&rft_id=info%3Apmid%2F37433210&rft_id=info%3Apmid%2F37433210&rft.externalDocID=37433210