Literature DB >> 33410936

Relationship Between Peat Type and Microbial Ecology in Sphagnum-Containing Peatlands of the Adirondack Mountains, NY, USA.

Andrew R St James1, Janni Lin2, Ruth E Richardson2.   

Abstract

Peatland microbial community composition varies with respect to a range of biological and physicochemical variables. While the extent of peat degradation (humification) has been linked to microbial community composition along vertical stratification gradients within peatland sites, across-site variations have been relatively unexplored. In this study, we compared microbial communities across ten pristine Sphagnum-containing peatlands in the Adirondack Mountains, NY, which represented three different peat types-humic fen peat, humic bog peat, and fibric bog peat. Using 16S amplicon sequencing and network correlation analysis, we demonstrate that microbial community composition is primarily linked to peat type, and that distinct taxa networks distinguish microbial communities in each type. Shotgun metagenomic sequencing of the active water table region (mesotelm) from two Sphagnum-dominated bogs-one with fibric peat and one with humic peat-revealed differences in primary carbon degradation pathways, with the fibric peat being dominated by carbohydrate metabolism and hydrogenotrophic methanogenesis, and the humic peat being dominated by aliphatic carbon metabolism and aceticlastic methanogenesis. Our results suggest that peat humification is a major factor driving microbial community dynamics across peatland ecosystems.

Entities:  

Keywords:  Adirondack Mountains; Bog; Fen; Microbial community; Peatland

Year:  2021        PMID: 33410936     DOI: 10.1007/s00248-020-01651-1

Source DB:  PubMed          Journal:  Microb Ecol        ISSN: 0095-3628            Impact factor:   4.552


  19 in total

1.  Microbial metabolic potential for carbon degradation and nutrient (nitrogen and phosphorus) acquisition in an ombrotrophic peatland.

Authors:  Xueju Lin; Malak M Tfaily; Stefan J Green; J Megan Steinweg; Patrick Chanton; Aopeau Imvittaya; Jeffrey P Chanton; William Cooper; Christopher Schadt; Joel E Kostka
Journal:  Appl Environ Microbiol       Date:  2014-03-28       Impact factor: 4.792

2.  Prokka: rapid prokaryotic genome annotation.

Authors:  Torsten Seemann
Journal:  Bioinformatics       Date:  2014-03-18       Impact factor: 6.937

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Journal:  Australas Radiol       Date:  1987-05

4.  Peatland Microbial Community Composition Is Driven by a Natural Climate Gradient.

Authors:  James Seward; Michael A Carson; L J Lamit; Nathan Basiliko; Joseph B Yavitt; Erik Lilleskov; Christopher W Schadt; Dave Solance Smith; Jim Mclaughlin; Nadia Mykytczuk; Shanay Willims-Johnson; Nigel Roulet; Tim Moore; Lorna Harris; Suzanna Bräuer
Journal:  Microb Ecol       Date:  2020-05-09       Impact factor: 4.552

5.  [Surgical lengthening of the femur using the Poldi 7 device].

Authors:  O Cech; J Vávra; T Terc; J Dokoupil
Journal:  Acta Chir Orthop Traumatol Cech       Date:  1989-10       Impact factor: 0.531

6.  Prodigal: prokaryotic gene recognition and translation initiation site identification.

Authors:  Doug Hyatt; Gwo-Liang Chen; Philip F Locascio; Miriam L Land; Frank W Larimer; Loren J Hauser
Journal:  BMC Bioinformatics       Date:  2010-03-08       Impact factor: 3.169

7.  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

8.  Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies.

Authors:  Anna Klindworth; Elmar Pruesse; Timmy Schweer; Jörg Peplies; Christian Quast; Matthias Horn; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2012-08-28       Impact factor: 16.971

9.  KBase: The United States Department of Energy Systems Biology Knowledgebase.

Authors:  Adam P Arkin; Robert W Cottingham; Christopher S Henry; Nomi L Harris; Rick L Stevens; Sergei Maslov; Paramvir Dehal; Doreen Ware; Fernando Perez; Shane Canon; Michael W Sneddon; Matthew L Henderson; William J Riehl; Dan Murphy-Olson; Stephen Y Chan; Roy T Kamimura; Sunita Kumari; Meghan M Drake; Thomas S Brettin; Elizabeth M Glass; Dylan Chivian; Dan Gunter; David J Weston; Benjamin H Allen; Jason Baumohl; Aaron A Best; Ben Bowen; Steven E Brenner; Christopher C Bun; John-Marc Chandonia; Jer-Ming Chia; Ric Colasanti; Neal Conrad; James J Davis; Brian H Davison; Matthew DeJongh; Scott Devoid; Emily Dietrich; Inna Dubchak; Janaka N Edirisinghe; Gang Fang; José P Faria; Paul M Frybarger; Wolfgang Gerlach; Mark Gerstein; Annette Greiner; James Gurtowski; Holly L Haun; Fei He; Rashmi Jain; Marcin P Joachimiak; Kevin P Keegan; Shinnosuke Kondo; Vivek Kumar; Miriam L Land; Folker Meyer; Marissa Mills; Pavel S Novichkov; Taeyun Oh; Gary J Olsen; Robert Olson; Bruce Parrello; Shiran Pasternak; Erik Pearson; Sarah S Poon; Gavin A Price; Srividya Ramakrishnan; Priya Ranjan; Pamela C Ronald; Michael C Schatz; Samuel M D Seaver; Maulik Shukla; Roman A Sutormin; Mustafa H Syed; James Thomason; Nathan L Tintle; Daifeng Wang; Fangfang Xia; Hyunseung Yoo; Shinjae Yoo; Dantong Yu
Journal:  Nat Biotechnol       Date:  2018-07-06       Impact factor: 54.908

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