Literature DB >> 24152717

MIxS-BE: a MIxS extension defining a minimum information standard for sequence data from the built environment.

Elizabeth M Glass1, Yekaterina Dribinsky1, Pelin Yilmaz2, Hal Levin3, Robert Van Pelt4, Doug Wendel4, Andreas Wilke1, Jonathan A Eisen5, Sue Huse6, Anna Shipanova6, Mitch Sogin6, Jason Stajich7, Rob Knight8, Folker Meyer9, Lynn M Schriml10.   

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Year:  2013        PMID: 24152717      PMCID: PMC3869023          DOI: 10.1038/ismej.2013.176

Source DB:  PubMed          Journal:  ISME J        ISSN: 1751-7362            Impact factor:   10.302


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The need for metadata standards for microbe sampling in the built environment

The composition of indoor microbial communities has the potential to profoundly affect human health. A number of factors within a building or room can alter the microbial abundance and diversity, such as occupancy, temperature and humidity, which in turn impacts indoor air quality. Researchers Hospodsky ; Kembel and Dunn are exploring the intersection of microbial ecology, building materials and architectural design to understand microbial diversity and abundance within a building. Metadata (data describing data) provides an essential complement to experimental data, helping to answer questions about its source, mode of collection and reliability. As the impact and prevalence of large-scale metagenomic surveys grow, so does the need for more complete and standards compliant metadata (Gilbert ). While marine, soil and the human microbiome environments have representation in the standards being developed the built environment (BE) represents a unique context in need of standards development for the use in the study of microbial sequences. Metadata collection and interpretation have become vital to the genomics and metagenomics community to share information and integrate data across resources and within data repositories. The Genomic Standards Consortium (GSC, http://gensc.org; Field ) has developed widely accepted metadata MIxS (MIGS, MIMS, MIMARKS; Yilmaz ) standards for genomic, metagenomic and amplicon (for example, 16S rRNA) sequence data sets. These standards have been developed within a framework that is both modular and extensible. The MIxS-BE, as a minimal metadata standard, represents a unique extension to the GSC's MIxS standard as a rigorous and structured tool for the analysis of microbial sequences and ecosystems of the indoor environment. The MIxS-BE package provides the BE community with a suggested list of parameters to record and report for each sequenced sample and to compare data across studies. The MIxS-BE standard incorporates the core set of required MIxS fields for a bacterial sequence along with a Built Environment (BE) package (http://gensc.org/index.php?title=MIxS_extensions) comprised of a BE core, MIxS air environmental package terms, BE building properties and BE sample properties. The MIxS-BE package has been incorporated into the MIxS checklist and integrated into the QIIME (Caporaso ), MoBeDAC and MG-RAST (Meyer ) databases to foster metadata submission compliance across BE projects. Updates to the MIxS specification will be included in BioSample (Barrett ) as part of the annual MIxS release. Requests for additions or changes to the MIxS checklists can be directed to the GSC Developers mailing list: "mailto:developers@gensc.org or by contacting Lynn Schriml or Elizabeth Glass. Development of the MIxS-BE package has been an open and iterative process engaging the GSC community, the GSC's MIxS developers, stakeholders across the BE community including microbial ecologists, microbiologists, architects and engineers. The Microbiology of the Built Environment Alfred P. Sloan funded initiative established a metadata working group as part of the MoBeDAC, bringing together Sloan-funded researchers, architects, civil engineers, bioinformaticists and computational biologists to discuss the need and context for standards to describe the most relevant metadata to be collected for BE samples. Led by Elizabeth Glass and Lynn Schriml, the working group proposed the development of the BE-MIxS package to the GSC and gained the GSC's board approval to develop the standard. The working group initially identified a comprehensive list of metadata terms reported in BE literature. Based on feedback solicited from industry experts and microbial ecologists, the working group established a minimal set of metadata terms for the BE package environment samples with a subset of the MIxS-BE terms classified as M (Mandatory), which indicates that the term has to be reported for the metadata to be considered compliant to the MIxS checklist. The MIxS-BE minimal set will be complemented by a MIxS-BE-Building package (under development) describing the larger set of building and room metadata pertinent to describing a BE sample (Table 1).
Table 1

MIxS-BE metadata package terms

MIxS-BE term
Carbon dioxidea
Ventilation typea
Organism counta
 
BE core
 Surface material
 Surface-air contaminant
 Relative air humidity
 Absolute air humidity
 Surface humidity
 Air temperature
 Surface temperature
 Surface moisture pH
 Surface moisture
 Dew point
 Building occupancy type
 
BE Building properties
 Indoor space (room type)
 Indoor surface
 Filter type
 Heating and cooling system type
 Substructure type
 Building setting
 Light type
 
BE Sample properties
 Sample size sorting method
 Space typical state
 Typical occupant density
 Occupancy at sampling
 Occupant density at sampling

Terms, definitions, required or optional status (for reporting compliance) and syntax are presented at: MIxS project, (http://gensc.org/gc_wiki/images/7/70/Built_environment-metadata-terms-v51.xls).

The MIxS-BE package includes MIxS-air environmental package terms and the built environment core, building and sample property terms.

  9 in total

1.  Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications.

Authors:  Pelin Yilmaz; Renzo Kottmann; Dawn Field; Rob Knight; James R Cole; Linda Amaral-Zettler; Jack A Gilbert; Ilene Karsch-Mizrachi; Anjanette Johnston; Guy Cochrane; Robert Vaughan; Christopher Hunter; Joonhong Park; Norman Morrison; Philippe Rocca-Serra; Peter Sterk; Manimozhiyan Arumugam; Mark Bailey; Laura Baumgartner; Bruce W Birren; Martin J Blaser; Vivien Bonazzi; Tim Booth; Peer Bork; Frederic D Bushman; Pier Luigi Buttigieg; Patrick S G Chain; Emily Charlson; Elizabeth K Costello; Heather Huot-Creasy; Peter Dawyndt; Todd DeSantis; Noah Fierer; Jed A Fuhrman; Rachel E Gallery; Dirk Gevers; Richard A Gibbs; Inigo San Gil; Antonio Gonzalez; Jeffrey I Gordon; Robert Guralnick; Wolfgang Hankeln; Sarah Highlander; Philip Hugenholtz; Janet Jansson; Andrew L Kau; Scott T Kelley; Jerry Kennedy; Dan Knights; Omry Koren; Justin Kuczynski; Nikos Kyrpides; Robert Larsen; Christian L Lauber; Teresa Legg; Ruth E Ley; Catherine A Lozupone; Wolfgang Ludwig; Donna Lyons; Eamonn Maguire; Barbara A Methé; Folker Meyer; Brian Muegge; Sara Nakielny; Karen E Nelson; Diana Nemergut; Josh D Neufeld; Lindsay K Newbold; Anna E Oliver; Norman R Pace; Giriprakash Palanisamy; Jörg Peplies; Joseph Petrosino; Lita Proctor; Elmar Pruesse; Christian Quast; Jeroen Raes; Sujeevan Ratnasingham; Jacques Ravel; David A Relman; Susanna Assunta-Sansone; Patrick D Schloss; Lynn Schriml; Rohini Sinha; Michelle I Smith; Erica Sodergren; Aymé Spo; Jesse Stombaugh; James M Tiedje; Doyle V Ward; George M Weinstock; Doug Wendel; Owen White; Andrew Whiteley; Andreas Wilke; Jennifer R Wortman; Tanya Yatsunenko; Frank Oliver Glöckner
Journal:  Nat Biotechnol       Date:  2011-05       Impact factor: 54.908

2.  QIIME allows analysis of high-throughput community sequencing data.

Authors:  J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight
Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

3.  Architectural design influences the diversity and structure of the built environment microbiome.

Authors:  Steven W Kembel; Evan Jones; Jeff Kline; Dale Northcutt; Jason Stenson; Ann M Womack; Brendan Jm Bohannan; G Z Brown; Jessica L Green
Journal:  ISME J       Date:  2012-01-26       Impact factor: 10.302

4.  The Genomic Standards Consortium.

Authors:  Dawn Field; Linda Amaral-Zettler; Guy Cochrane; James R Cole; Peter Dawyndt; George M Garrity; Jack Gilbert; Frank Oliver Glöckner; Lynette Hirschman; Ilene Karsch-Mizrachi; Hans-Peter Klenk; Rob Knight; Renzo Kottmann; Nikos Kyrpides; Folker Meyer; Inigo San Gil; Susanna-Assunta Sansone; Lynn M Schriml; Peter Sterk; Tatiana Tatusova; David W Ussery; Owen White; John Wooley
Journal:  PLoS Biol       Date:  2011-06-21       Impact factor: 8.029

5.  Defining seasonal marine microbial community dynamics.

Authors:  Jack A Gilbert; Joshua A Steele; J Gregory Caporaso; Lars Steinbrück; Jens Reeder; Ben Temperton; Susan Huse; Alice C McHardy; Rob Knight; Ian Joint; Paul Somerfield; Jed A Fuhrman; Dawn Field
Journal:  ISME J       Date:  2011-08-18       Impact factor: 10.302

6.  BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata.

Authors:  Tanya Barrett; Karen Clark; Robert Gevorgyan; Vyacheslav Gorelenkov; Eugene Gribov; Ilene Karsch-Mizrachi; Michael Kimelman; Kim D Pruitt; Sergei Resenchuk; Tatiana Tatusova; Eugene Yaschenko; James Ostell
Journal:  Nucleic Acids Res       Date:  2011-12-01       Impact factor: 16.971

7.  Human occupancy as a source of indoor airborne bacteria.

Authors:  Denina Hospodsky; Jing Qian; William W Nazaroff; Naomichi Yamamoto; Kyle Bibby; Hamid Rismani-Yazdi; Jordan Peccia
Journal:  PLoS One       Date:  2012-04-18       Impact factor: 3.240

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.  Home life: factors structuring the bacterial diversity found within and between homes.

Authors:  Robert R Dunn; Noah Fierer; Jessica B Henley; Jonathan W Leff; Holly L Menninger
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

  9 in total
  17 in total

1.  Strain diversity and host specificity in a specialized gut symbiont of honeybees and bumblebees.

Authors:  Elijah Powell; Nalin Ratnayeke; Nancy A Moran
Journal:  Mol Ecol       Date:  2016-09-06       Impact factor: 6.185

2.  MG-RAST version 4-lessons learned from a decade of low-budget ultra-high-throughput metagenome analysis.

Authors:  Folker Meyer; Saurabh Bagchi; Somali Chaterji; Wolfgang Gerlach; Ananth Grama; Travis Harrison; Tobias Paczian; William L Trimble; Andreas Wilke
Journal:  Brief Bioinform       Date:  2019-07-19       Impact factor: 11.622

3.  Metagenomics survey unravels diversity of biogas microbiomes with potential to enhance productivity in Kenya.

Authors:  Samuel Mwangangi Muturi; Lucy Wangui Muthui; Paul Mwangi Njogu; Justus Mong'are Onguso; Francis Nyamu Wachira; Stephen Obol Opiyo; Roger Pelle
Journal:  PLoS One       Date:  2021-01-04       Impact factor: 3.240

4.  Metadata harmonization-Standards are the key for a better usage of omics data for integrative microbiome analysis.

Authors:  Tomislav Cernava; Daria Rybakova; Michael Schloter; Gabriele Berg; François Buscot; Thomas Clavel; Alice Carolyn McHardy; Fernando Meyer; Folker Meyer; Jörg Overmann; Bärbel Stecher; Angela Sessitsch
Journal:  Environ Microbiome       Date:  2022-06-24

Review 5.  Toward Accurate and Quantitative Comparative Metagenomics.

Authors:  Stephen Nayfach; Katherine S Pollard
Journal:  Cell       Date:  2016-08-25       Impact factor: 41.582

Review 6.  Standardization for natural product synthetic biology.

Authors:  Huimin Zhao; Marnix H Medema
Journal:  Nat Prod Rep       Date:  2016-06-17       Impact factor: 13.423

7.  Spatial and temporal variations in indoor environmental conditions, human occupancy, and operational characteristics in a new hospital building.

Authors:  Tiffanie Ramos; Sandra Dedesko; Jeffrey A Siegel; Jack A Gilbert; Brent Stephens
Journal:  PLoS One       Date:  2015-03-02       Impact factor: 3.240

8.  microBEnet: lessons learned from building an interdisciplinary scientific community in the online sphere.

Authors:  Holly M Bik; David A Coil; Jonathan A Eisen
Journal:  PLoS Biol       Date:  2014-06-17       Impact factor: 8.029

Review 9.  The roles of the outdoors and occupants in contributing to a potential pan-microbiome of the built environment: a review.

Authors:  Marcus H Y Leung; Patrick K H Lee
Journal:  Microbiome       Date:  2016-05-24       Impact factor: 14.650

10.  Microbiota of the indoor environment: a meta-analysis.

Authors:  Rachel I Adams; Ashley C Bateman; Holly M Bik; James F Meadow
Journal:  Microbiome       Date:  2015-10-13       Impact factor: 14.650

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