Literature DB >> 34022966

Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale.

Paula B Matheus Carnevali1, Adi Lavy1, Alex D Thomas2, Alexander Crits-Christoph3, Spencer Diamond1, Raphaël Méheust1,4, Matthew R Olm3,5, Allison Sharrar1, Shufei Lei1, Wenming Dong6, Nicola Falco6, Nicholas Bouskill6, Michelle E Newcomer6, Peter Nico6, Haruko Wainwright6, Dipankar Dwivedi6, Kenneth H Williams6, Susan Hubbard6, Jillian F Banfield7,8,9,10,11,12.   

Abstract

BACKGROUND: Biogeochemical exports from watersheds are modulated by the activity of microorganisms that function over micron scales. Here, we tested the hypothesis that meander-bound regions share a core microbiome and exhibit patterns of metabolic potential that broadly predict biogeochemical processes in floodplain soils along a river corridor.
RESULTS: We intensively sampled the microbiomes of floodplain soils located in the upper, middle, and lower reaches of the East River, Colorado. Despite the very high microbial diversity and complexity of the soils, we reconstructed 248 quality draft genomes representative of subspecies. Approximately one third of these bacterial subspecies was detected across all three locations at similar abundance levels, and ~ 15% of species were detected in two consecutive years. Within the meander-bound floodplains, we did not detect systematic patterns of gene abundance based on sampling position relative to the river. However, across meanders, we identified a core floodplain microbiome that is enriched in capacities for aerobic respiration, aerobic CO oxidation, and thiosulfate oxidation with the formation of elemental sulfur. Given this, we conducted a transcriptomic analysis of the middle floodplain. In contrast to predictions made based on the prominence of gene inventories, the most highly transcribed genes were relatively rare amoCAB and nxrAB (for nitrification) genes, followed by genes involved in methanol and formate oxidation, and nitrogen and CO2 fixation. Within all three meanders, low soil organic carbon correlated with high activity of genes involved in methanol, formate, sulfide, hydrogen, and ammonia oxidation, nitrite oxidoreduction, and nitrate and nitrite reduction. Overall, the results emphasize the importance of sulfur, one-carbon and nitrogen compound metabolism in soils of the riparian corridor.
CONCLUSIONS: The disparity between the scale of a microbial cell and the scale of a watershed currently limits the development of genomically informed predictive models describing watershed biogeochemical function. Meander-bound floodplains appear to serve as scaling motifs that predict aggregate capacities for biogeochemical transformations, providing a foundation for incorporating riparian soil microbiomes in watershed models. Widely represented genetic capacities did not predict in situ activity at one time point, but rather they define a reservoir of biogeochemical potential available as conditions change. Video abstract.

Entities:  

Keywords:  Floodplain; Genome-resolved metagenomics; Metatranscriptomics; Microbiome; Soil; Watershed

Year:  2021        PMID: 34022966     DOI: 10.1186/s40168-020-00957-z

Source DB:  PubMed          Journal:  Microbiome        ISSN: 2049-2618            Impact factor:   14.650


  42 in total

Review 1.  Distribution, diversity and ecology of aerobic CO-oxidizing bacteria.

Authors:  Gary M King; Carolyn F Weber
Journal:  Nat Rev Microbiol       Date:  2007-02       Impact factor: 60.633

2.  Microbial Community Functional Potential and Composition Are Shaped by Hydrologic Connectivity in Riverine Floodplain Soils.

Authors:  William A Argiroff; Donald R Zak; Christine M Lanser; Michael J Wiley
Journal:  Microb Ecol       Date:  2016-11-02       Impact factor: 4.552

3.  Combining the fourth-corner and the RLQ methods for assessing trait responses to environmental variation.

Authors:  Stéphane Dray; Philippe Choler; Sylvain Dolédec; Pedro R Peres-Neto; Wilfried Thuiller; Sandrine Pavoine; Cajo J F ter Braak
Journal:  Ecology       Date:  2014-01       Impact factor: 5.499

4.  Fermentation of pectin and glucose, and activity of pectin-degrading enzymes in the rumen bacterium Lachnospira multiparus.

Authors:  D Dusková; M Marounek
Journal:  Lett Appl Microbiol       Date:  2001-08       Impact factor: 2.858

5.  Importance and vulnerability of the world's water towers.

Authors:  W W Immerzeel; A F Lutz; M Andrade; A Bahl; H Biemans; T Bolch; S Hyde; S Brumby; B J Davies; A C Elmore; A Emmer; M Feng; A Fernández; U Haritashya; J S Kargel; M Koppes; P D A Kraaijenbrink; A V Kulkarni; P A Mayewski; S Nepal; P Pacheco; T H Painter; F Pellicciotti; H Rajaram; S Rupper; A Sinisalo; A B Shrestha; D Viviroli; Y Wada; C Xiao; T Yao; J E M Baillie
Journal:  Nature       Date:  2019-12-09       Impact factor: 49.962

6.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

7.  Thousands of microbial genomes shed light on interconnected biogeochemical processes in an aquifer system.

Authors:  Karthik Anantharaman; Christopher T Brown; Laura A Hug; Itai Sharon; Cindy J Castelle; Alexander J Probst; Brian C Thomas; Andrea Singh; Michael J Wilkins; Ulas Karaoz; Eoin L Brodie; Kenneth H Williams; Susan S Hubbard; Jillian F Banfield
Journal:  Nat Commun       Date:  2016-10-24       Impact factor: 14.919

8.  Predicting sedimentary bedrock subsurface weathering fronts and weathering rates.

Authors:  Jiamin Wan; Tetsu K Tokunaga; Kenneth H Williams; Wenming Dong; Wendy Brown; Amanda N Henderson; Alexander W Newman; Susan S Hubbard
Journal:  Sci Rep       Date:  2019-11-20       Impact factor: 4.379

9.  Consistent Metagenome-Derived Metrics Verify and Delineate Bacterial Species Boundaries.

Authors:  Matthew R Olm; Alexander Crits-Christoph; Spencer Diamond; Adi Lavy; Paula B Matheus Carnevali; Jillian F Banfield
Journal:  mSystems       Date:  2020-01-14       Impact factor: 6.496

10.  The carbohydrate-active enzymes database (CAZy) in 2013.

Authors:  Vincent Lombard; Hemalatha Golaconda Ramulu; Elodie Drula; Pedro M Coutinho; Bernard Henrissat
Journal:  Nucleic Acids Res       Date:  2013-11-21       Impact factor: 16.971

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