Literature DB >> 34403639

Natural selection on a carbon cycling trait drives ecosystem engineering by Sphagnum (peat moss).

Bryan T Piatkowski1, Joseph B Yavitt2, Merritt R Turetsky3, A Jonathan Shaw1.   

Abstract

Sphagnum peat mosses have an extraordinary impact on the global carbon cycle as they control long-term carbon sequestration in boreal peatland ecosystems. Sphagnum species engineer peatlands, which harbour roughly a quarter of all terrestrial carbon, through peat accumulation by constructing their own niche that allows them to outcompete other plants. Interspecific variation in peat production, largely resulting from differences in tissue decomposability, is hypothesized to drive niche differentiation along microhabitat gradients thereby alleviating competitive pressure. However, little empirical evidence exists for the role of selection in the creation and maintenance of such gradients. In order to document how niche construction and differentiation evolved in Sphagnum, we quantified decomposability for 54 species under natural conditions and used phylogenetic comparative methods to model the evolution of this carbon cycling trait. We show that decomposability tracks the phylogenetic diversification of peat mosses, that natural selection favours different levels of decomposability corresponding to optimum niche and that divergence in this trait occurred early in the evolution of the genus prior to the divergence of most extant species. Our results demonstrate the evolution of ecosystem engineering via natural selection on an extended phenotype, of a fundamental ecosystem process, and one of the Earth's largest soil carbon pools.

Entities:  

Keywords:  Sphagnum; carbon cycle; ecosystem engineer; extended phenotype; litter decomposition; niche construction

Mesh:

Substances:

Year:  2021        PMID: 34403639      PMCID: PMC8370794          DOI: 10.1098/rspb.2021.0609

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.530


  31 in total

1.  Inferring the historical patterns of biological evolution.

Authors:  M Pagel
Journal:  Nature       Date:  1999-10-28       Impact factor: 49.962

2.  ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R.

Authors:  Emmanuel Paradis; Klaus Schliep
Journal:  Bioinformatics       Date:  2019-02-01       Impact factor: 6.937

3.  The Sphagnome Project: enabling ecological and evolutionary insights through a genus-level sequencing project.

Authors:  David J Weston; Merritt R Turetsky; Matthew G Johnson; Gustaf Granath; Zoë Lindo; Lisa R Belyea; Steven K Rice; David T Hanson; Katharina A M Engelhardt; Jeremy Schmutz; Ellen Dorrepaal; Eugénie S Euskirchen; Hans K Stenøien; Péter Szövényi; Michelle Jackson; Bryan T Piatkowski; Wellington Muchero; Richard J Norby; Joel E Kostka; Jennifer B Glass; Håkan Rydin; Juul Limpens; Eeva-Stiina Tuittila; Kristian K Ullrich; Alyssa Carrell; Brian W Benscoter; Jin-Gui Chen; Tobi A Oke; Mats B Nilsson; Priya Ranjan; Daniel Jacobson; Erik A Lilleskov; R S Clymo; A Jonathan Shaw
Journal:  New Phytol       Date:  2017-10-27       Impact factor: 10.151

4.  Phylogenetic Comparative Analysis: A Modeling Approach for Adaptive Evolution.

Authors:  Marguerite A Butler; Aaron A King
Journal:  Am Nat       Date:  2004-12       Impact factor: 3.926

5.  RevBayes: Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language.

Authors:  Sebastian Höhna; Michael J Landis; Tracy A Heath; Bastien Boussau; Nicolas Lartillot; Brian R Moore; John P Huelsenbeck; Fredrik Ronquist
Journal:  Syst Biol       Date:  2016-05-28       Impact factor: 15.683

6.  Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7.

Authors:  Andrew Rambaut; Alexei J Drummond; Dong Xie; Guy Baele; Marc A Suchard
Journal:  Syst Biol       Date:  2018-09-01       Impact factor: 15.683

7.  Peatmoss (Sphagnum) diversification associated with Miocene Northern Hemisphere climatic cooling?

Authors:  A Jonathan Shaw; Nicolas Devos; Cymon J Cox; Sandra B Boles; Blanka Shaw; Alex M Buchanan; Lynette Cave; Rodney Seppelt
Journal:  Mol Phylogenet Evol       Date:  2010-01-25       Impact factor: 4.286

8.  Probabilistic graphical model representation in phylogenetics.

Authors:  Sebastian Höhna; Tracy A Heath; Bastien Boussau; Michael J Landis; Fredrik Ronquist; John P Huelsenbeck
Journal:  Syst Biol       Date:  2014-06-20       Impact factor: 15.683

9.  ModelFinder: fast model selection for accurate phylogenetic estimates.

Authors:  Subha Kalyaanamoorthy; Bui Quang Minh; Thomas K F Wong; Arndt von Haeseler; Lars S Jermiin
Journal:  Nat Methods       Date:  2017-05-08       Impact factor: 28.547

10.  IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era.

Authors:  Bui Quang Minh; Heiko A Schmidt; Olga Chernomor; Dominik Schrempf; Michael D Woodhams; Arndt von Haeseler; Robert Lanfear
Journal:  Mol Biol Evol       Date:  2020-05-01       Impact factor: 16.240

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  1 in total

Review 1.  Stress, senescence, and specialized metabolites in bryophytes.

Authors:  Samarth Kulshrestha; Rubina Jibran; John W van Klink; Yanfei Zhou; David A Brummell; Nick W Albert; Kathy E Schwinn; David Chagné; Marco Landi; John L Bowman; Kevin M Davies
Journal:  J Exp Bot       Date:  2022-07-16       Impact factor: 7.298

  1 in total

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