Literature DB >> 33811029

The Rhizosphere Responds: Rich Fen Peat and Root Microbial Ecology after Long-Term Water Table Manipulation.

Danielle L Rupp1, Louis J Lamit2,3, Stephen M Techtmann4, Evan S Kane1,5, Erik A Lilleskov5, Merritt R Turetsky6.   

Abstract

Hydrologic shifts due to climate change will affect the cycling of carbon (C) stored in boreal peatlands. Carbon cycling in these systems is carried out by microorganisms and plants in close association. This study investigated the effects of experimentally manipulated water tables (lowered and raised) and plant functional groups on the peat and root microbiomes in a boreal rich fen. All samples were sequenced and processed for bacterial, archaeal (16S DNA genes; V4), and fungal (internal transcribed spacer 2 [ITS2]) DNA. Depth had a strong effect on microbial and fungal communities across all water table treatments. Bacterial and archaeal communities were most sensitive to the water table treatments, particularly at the 10- to 20-cm depth; this area coincides with the rhizosphere or rooting zone. Iron cyclers, particularly members of the family Geobacteraceae, were enriched around the roots of sedges, horsetails, and grasses. The fungal community was affected largely by plant functional group, especially cinquefoils. Fungal endophytes (particularly Acephala spp.) were enriched in sedge and grass roots, which may have underappreciated implications for organic matter breakdown and cycling. Fungal lignocellulose degraders were enriched in the lowered water table treatment. Our results were indicative of two main methanogen communities, a rooting zone community dominated by the archaeal family Methanobacteriaceae and a deep peat community dominated by the family Methanomicrobiaceae. IMPORTANCE This study demonstrated that roots and the rooting zone in boreal fens support organisms likely capable of methanogenesis, iron cycling, and fungal endophytic association and are directly or indirectly affecting carbon cycling in these ecosystems. These taxa, which react to changes in the water table and associate with roots and, particularly, graminoids, may gain greater biogeochemical influence, as projected higher precipitation rates could lead to an increased abundance of sedges and grasses in boreal fens.

Entities:  

Keywords:  archaea; bacteria; boreal ecosystems; carbon cycling; climate change; fungi; hydrology; in situ; iron; methanogen; peatland; plant functional group; plant functional type; root; subarctic; trace gas; vegetation

Year:  2021        PMID: 33811029      PMCID: PMC8174669          DOI: 10.1128/AEM.00241-21

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  49 in total

1.  New primers to amplify the fungal ITS2 region--evaluation by 454-sequencing of artificial and natural communities.

Authors:  Katarina Ihrmark; Inga T M Bödeker; Karelyn Cruz-Martinez; Hanna Friberg; Ariana Kubartova; Jessica Schenck; Ylva Strid; Jan Stenlid; Mikael Brandström-Durling; Karina E Clemmensen; Björn D Lindahl
Journal:  FEMS Microbiol Ecol       Date:  2012-07-27       Impact factor: 4.194

2.  Methanogenesis facilitated by electric syntrophy via (semi)conductive iron-oxide minerals.

Authors:  Souichiro Kato; Kazuhito Hashimoto; Kazuya Watanabe
Journal:  Environ Microbiol       Date:  2011-10-18       Impact factor: 5.491

3.  Ferric iron reduction by bacteria associated with the roots of freshwater and marine macrophytes.

Authors:  G M King; M A Garey
Journal:  Appl Environ Microbiol       Date:  1999-10       Impact factor: 4.792

4.  Vegetation exerts a greater control on litter decomposition than climate warming in peatlands.

Authors:  Susan E Ward; Kate H Orwin; Nicholas J Ostle; J I Briones; Bruce C Thomson; Robert I Griffiths; Simon Oakley; Helen Quirk; Richard D Bardget
Journal:  Ecology       Date:  2015-01       Impact factor: 5.499

5.  The response of boreal peatland community composition and NDVI to hydrologic change, warming, and elevated carbon dioxide.

Authors:  Mara Y McPartland; Evan S Kane; Michael J Falkowski; Randy Kolka; Merritt R Turetsky; Brian Palik; Rebecca A Montgomery
Journal:  Glob Chang Biol       Date:  2018-10-27       Impact factor: 10.863

6.  Impact of training sets on classification of high-throughput bacterial 16s rRNA gene surveys.

Authors:  Jeffrey J Werner; Omry Koren; Philip Hugenholtz; Todd Z DeSantis; William A Walters; J Gregory Caporaso; Largus T Angenent; Rob Knight; Ruth E Ley
Journal:  ISME J       Date:  2011-06-30       Impact factor: 10.302

7.  Potential for direct interspecies electron transfer in methanogenic wastewater digester aggregates.

Authors:  Masahiko Morita; Nikhil S Malvankar; Ashley E Franks; Zarath M Summers; Ludovic Giloteaux; Amelia E Rotaru; Camelia Rotaru; Derek R Lovley
Journal:  mBio       Date:  2011-09-01       Impact factor: 7.867

8.  Plant compartment and biogeography affect microbiome composition in cultivated and native Agave species.

Authors:  Devin Coleman-Derr; Damaris Desgarennes; Citlali Fonseca-Garcia; Stephen Gross; Scott Clingenpeel; Tanja Woyke; Gretchen North; Axel Visel; Laila P Partida-Martinez; Susannah G Tringe
Journal:  New Phytol       Date:  2015-10-15       Impact factor: 10.151

9.  Primer and platform effects on 16S rRNA tag sequencing.

Authors:  Julien Tremblay; Kanwar Singh; Alison Fern; Edward S Kirton; Shaomei He; Tanja Woyke; Janey Lee; Feng Chen; Jeffery L Dangl; Susannah G Tringe
Journal:  Front Microbiol       Date:  2015-08-04       Impact factor: 5.640

10.  Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin.

Authors:  Nicholas A Bokulich; Benjamin D Kaehler; Jai Ram Rideout; Matthew Dillon; Evan Bolyen; Rob Knight; Gavin A Huttley; J Gregory Caporaso
Journal:  Microbiome       Date:  2018-05-17       Impact factor: 14.650

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