Literature DB >> 25414497

Metagenomes of microbial communities in arsenic- and pathogen-contaminated well and surface water from bangladesh.

Alice C Layton, Archana Chauhan, Daniel E Williams1, Brian Mailloux2, Peter S K Knappett3, Andrew S Ferguson4, Larry D McKay5, M Jahangir Alam6, Kazi Matin Ahmed6, Alexander van Geen7, Gary S Sayler8.   

Abstract

The contamination of drinking water from both arsenic and microbial pathogens occurs in Bangladesh. A general metagenomic survey of well water and surface water provided information on the types of pathogens present and may help elucidate arsenic metabolic pathways and potential assay targets for monitoring surface-to-ground water pathogen transport.
Copyright © 2014 Layton et al.

Entities:  

Year:  2014        PMID: 25414497      PMCID: PMC4239352          DOI: 10.1128/genomeA.01170-14

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Bangladesh has two microbial-based public health water resource crises. Diarrheal diseases (1), often attributable to poor sanitary conditions and fecal contamination of drinking water, remain a leading cause of mortality for children younger than 5 years (2, 3). In locations with poor sanitation, groundwater is a cleaner source than surface water; however, shallow wells may still contain waterborne pathogens (4). In parts of Bangladesh, the drinking water situation is further complicated by the presence of geogenic arsenic above drinking water standards (>10 µg/liter), which causes serious and debilitating diseases (5, 6). The goal of this study was to generate metagenomic sequences from arsenic- and pathogen-contaminated ground and surface waters in Bangladesh (7). Surface and ground water samples were collected 4 times between March 2009 and November 2012 in a 1-km2 area of Bara Haldia, MatLab, Bangladesh (25.467°N 89.517°E) (4) representing both wet and dry seasons (8). In wells, the arsenic concentrations ranged from <1 to 218 parts per billion (ppb), and culturable Escherichia coli concentrations ranged from <1 to 100 most probable number (MPN)/100 ml. DNA was extracted from water filters using the Fast DNA spin kit (MP Biomedicals, CA) (2). DNA from 9 to 12 wells or 3 surface water samples was combined from each date to provide a composite sample. Metagenomic libraries were prepared using the Illumina Nextera DNA library preparation kit (Illumina, Inc., CA), and 2 × 100 bp reads were sequenced on an Illumina HiSeq 2000. The raw sequence reads from 8 metagenomic data sets were annotated using MG-RAST version 3.3.7 (9). In surface water metagenomes, Bacteria was the dominant domain (94.2%), followed by Eukaryota (3.6%), DNA-based viruses (1.7%), and Archaea (0.4%). The most abundant genera in the surface water samples were Acidovorax (4.8%), Mycobacterium (4.1%), and Burkholderia (2.9%). Sequences matching well-known waterborne bacterial pathogens (10) found in surface water included: Vibrio cholerae and Vibrio parahaemolyticus (0.08%), Salmonella enterica (0.07%), Clostridium difficile (0.03%), Cronobacter sakazakii (0.03%), Shigella flexneri and Shigella dysenteriae (0.03%), Staphylococcus aureus (0.02%), Campylobacter jejuni (0.01%), and Helicobacter pylori (0.01%), Consistent with the anaerobic conditions in ground water, archaea sequences comprised 20.4% of the sequences, with the genus Methanosarcina representing 4.1% of all well water metagenome sequences. Bacteria comprised 78.1%, eukaryotes 1.2%, and DNA-based viruses <0.1% of the sequences, with Geobacter (3.5%) and Clostridium (2.0%) being the second and third most abundant genera. Sequences matching the surface water pathogens were found in groundwater but generally at lower concentrations, which was expected due to die-off and filtering. Unexpectedly, four pathogens had 3- to 4-fold higher relative sequence abundances in ground than surface water: C. difficile (0.12%), S. aureus (0.04%) C. jejuni (0.03%), and H. pylori (0.03%). In both surface and well water metagenomes, genes for arsenic metabolism, including arsenate reductase and arsenite oxidation, along with those for arsenic resistance, were present. These genetic pathways may affect arsenic mobility and toxicity (11). In summary, these metagenomic data sets have helped and can continue to further help elucidate the mechanisms of groundwater pathogen and arsenic contamination in Bangladesh.

Nucleotide sequence accession number.

Nucleotide sequences obtained were deposited at the NCBI Sequence Read Archive under the accession no. SRP047074.
  11 in total

1.  Comparison of fecal indicators with pathogenic bacteria and rotavirus in groundwater.

Authors:  Andrew S Ferguson; Alice C Layton; Brian J Mailloux; Patricia J Culligan; Daniel E Williams; Abby E Smartt; Gary S Sayler; John Feighery; Larry D McKay; Peter S K Knappett; Ekaterina Alexandrova; Talia Arbit; Michael Emch; Veronica Escamilla; Kazi Matin Ahmed; Md Jahangir Alam; P Kim Streatfield; Mohammad Yunus; Alexander van Geen
Journal:  Sci Total Environ       Date:  2012-06-14       Impact factor: 7.963

2.  Global, regional, and national causes of child mortality in 2008: a systematic analysis.

Authors:  Robert E Black; Simon Cousens; Hope L Johnson; Joy E Lawn; Igor Rudan; Diego G Bassani; Prabhat Jha; Harry Campbell; Christa Fischer Walker; Richard Cibulskis; Thomas Eisele; Li Liu; Colin Mathers
Journal:  Lancet       Date:  2010-05-11       Impact factor: 79.321

3.  Comparison of two blanket surveys of arsenic in tubewells conducted 12 years apart in a 25 km(2) area of Bangladesh.

Authors:  Alexander van Geen; Ershad B Ahmed; Lynnette Pitcher; Jacob L Mey; Habibul Ahsan; Joseph H Graziano; Kazi Matin Ahmed
Journal:  Sci Total Environ       Date:  2014-01-16       Impact factor: 7.963

4.  Advection of surface-derived organic carbon fuels microbial reduction in Bangladesh groundwater.

Authors:  Brian J Mailloux; Elizabeth Trembath-Reichert; Jennifer Cheung; Marlena Watson; Martin Stute; Greg A Freyer; Andrew S Ferguson; Kazi Matin Ahmed; Md Jahangir Alam; Bruce A Buchholz; James Thomas; Alice C Layton; Yan Zheng; Benjamin C Bostick; Alexander van Geen
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-04       Impact factor: 11.205

Review 5.  The global burden of diarrhoeal disease, as estimated from studies published between 1992 and 2000.

Authors:  Margaret Kosek; Caryn Bern; Richard L Guerrant
Journal:  Bull World Health Organ       Date:  2003-05-16       Impact factor: 9.408

Review 6.  Water microbiology. Bacterial pathogens and water.

Authors:  João P S Cabral
Journal:  Int J Environ Res Public Health       Date:  2010-10-15       Impact factor: 3.390

7.  Fecal contamination of shallow tubewells in Bangladesh inversely related to arsenic.

Authors:  Alexander van Geen; Kazi Matin Ahmed; Yasuyuki Akita; Md Jahangir Alam; Patricia J Culligan; Michael Emch; Veronica Escamilla; John Feighery; Andrew S Ferguson; Peter Knappett; Alice C Layton; Brian J Mailloux; Larry D McKay; Jacob L Mey; Marc L Serre; P Kim Streatfield; Jianyong Wu; Mohammad Yunus
Journal:  Environ Sci Technol       Date:  2011-01-12       Impact factor: 9.028

8.  The metagenomics RAST server - a public resource for the automatic phylogenetic and functional analysis of metagenomes.

Authors:  F Meyer; D Paarmann; M D'Souza; R Olson; E M Glass; M Kubal; T Paczian; A Rodriguez; R Stevens; A Wilke; J Wilkening; R A Edwards
Journal:  BMC Bioinformatics       Date:  2008-09-19       Impact factor: 3.169

9.  Genes involved in arsenic transformation and resistance associated with different levels of arsenic-contaminated soils.

Authors:  Lin Cai; Guanghui Liu; Christopher Rensing; Gejiao Wang
Journal:  BMC Microbiol       Date:  2009-01-08       Impact factor: 3.605

Review 10.  Global burden of childhood pneumonia and diarrhoea.

Authors:  Christa L Fischer Walker; Igor Rudan; Li Liu; Harish Nair; Evropi Theodoratou; Zulfiqar A Bhutta; Katherine L O'Brien; Harry Campbell; Robert E Black
Journal:  Lancet       Date:  2013-04-12       Impact factor: 79.321

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  4 in total

1.  A metagenomic approach to decipher the indigenous microbial communities of arsenic contaminated groundwater of Assam.

Authors:  Saurav Das; Sudipta Sankar Bora; R N S Yadav; Madhumita Barooah
Journal:  Genom Data       Date:  2017-03-30

2.  Considering Alternate Pathways of Drinking-Water Contamination: Evidence of Risk Substitution from Arsenic Mitigation Programs in Rural Bangladesh.

Authors:  Varun Goel; Griffin J Bell; Sumati Sridhar; Md Sirajul Islam; Md Yunus; Md Taslim Ali; Md Alfazal Khan; Md Nurul Alam; Asg Faruque; Md Masnoon Kabir; Shahabuddin Babu; Katerina Brandt; Victoria Shelus; Mark D Sobsey; Michael Emch
Journal:  Int J Environ Res Public Health       Date:  2020-07-26       Impact factor: 3.390

3.  Diversity of Betaproteobacteria revealed by novel primers suggests their role in arsenic cycling.

Authors:  Anirban Chakraborty; Chanchal K DasGupta; Punyasloke Bhadury
Journal:  Heliyon       Date:  2020-01-02

4.  Lateral Gene Transfer Drives Metabolic Flexibility in the Anaerobic Methane-Oxidizing Archaeal Family Methanoperedenaceae.

Authors:  Andy O Leu; Simon J McIlroy; Jun Ye; Donovan H Parks; Victoria J Orphan; Gene W Tyson
Journal:  mBio       Date:  2020-06-30       Impact factor: 7.867

  4 in total

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