Literature DB >> 26017307

Interaction and signalling between a cosmopolitan phytoplankton and associated bacteria.

S A Amin1, L R Hmelo2, H M van Tol3, B P Durham4, L T Carlson3, K R Heal3, R L Morales3, C T Berthiaume3, M S Parker3, B Djunaedi3, A E Ingalls3, M R Parsek2, M A Moran5, E V Armbrust3.   

Abstract

Interactions between primary producers and bacteria impact the physiology of both partners, alter the chemistry of their environment, and shape ecosystem diversity. In marine ecosystems, these interactions are difficult to study partly because the major photosynthetic organisms are microscopic, unicellular phytoplankton. Coastal phytoplankton communities are dominated by diatoms, which generate approximately 40% of marine primary production and form the base of many marine food webs. Diatoms co-occur with specific bacterial taxa, but the mechanisms of potential interactions are mostly unknown. Here we tease apart a bacterial consortium associated with a globally distributed diatom and find that a Sulfitobacter species promotes diatom cell division via secretion of the hormone indole-3-acetic acid, synthesized by the bacterium using both diatom-secreted and endogenous tryptophan. Indole-3-acetic acid and tryptophan serve as signalling molecules that are part of a complex exchange of nutrients, including diatom-excreted organosulfur molecules and bacterial-excreted ammonia. The potential prevalence of this mode of signalling in the oceans is corroborated by metabolite and metatranscriptome analyses that show widespread indole-3-acetic acid production by Sulfitobacter-related bacteria, particularly in coastal environments. Our study expands on the emerging recognition that marine microbial communities are part of tightly connected networks by providing evidence that these interactions are mediated through production and exchange of infochemicals.

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Year:  2015        PMID: 26017307     DOI: 10.1038/nature14488

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  33 in total

1.  Quantitative analysis of a deeply sequenced marine microbial metatranscriptome.

Authors:  Scott M Gifford; Shalabh Sharma; Johanna M Rinta-Kanto; Mary Ann Moran
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Authors:  Per R Jonsson; Henrik Pavia; Gunilla Toth
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-19       Impact factor: 11.205

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Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

Review 4.  Interactions between diatoms and bacteria.

Authors:  Shady A Amin; Micaela S Parker; E Virginia Armbrust
Journal:  Microbiol Mol Biol Rev       Date:  2012-09       Impact factor: 11.056

Review 5.  Auxin and plant-microbe interactions.

Authors:  Stijn Spaepen; Jos Vanderleyden
Journal:  Cold Spring Harb Perspect Biol       Date:  2011-04-01       Impact factor: 10.005

6.  Molecular genetic analysis of a dimethylsulfoniopropionate lyase that liberates the climate-changing gas dimethylsulfide in several marine alpha-proteobacteria and Rhodobacter sphaeroides.

Authors:  A R J Curson; R Rogers; J D Todd; C A Brearley; A W B Johnston
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Review 7.  How rhizobial symbionts invade plants: the Sinorhizobium-Medicago model.

Authors:  Kathryn M Jones; Hajime Kobayashi; Bryan W Davies; Michiko E Taga; Graham C Walker
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9.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

10.  The Medicago species A2-type cyclin is auxin regulated and involved in meristem formation but dispensable for endoreduplication-associated developmental programs.

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Journal:  Plant Physiol       Date:  2003-03       Impact factor: 8.340

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  219 in total

1.  Functional group-specific traits drive phytoplankton dynamics in the oligotrophic ocean.

Authors:  Harriet Alexander; Mónica Rouco; Sheean T Haley; Samuel T Wilson; David M Karl; Sonya T Dyhrman
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-12       Impact factor: 11.205

Review 2.  Microbial Surface Colonization and Biofilm Development in Marine Environments.

Authors:  Hongyue Dang; Charles R Lovell
Journal:  Microbiol Mol Biol Rev       Date:  2015-12-23       Impact factor: 11.056

3.  Bacterial transcriptome remodeling during sequential co-culture with a marine dinoflagellate and diatom.

Authors:  Marine Landa; Andrew S Burns; Selena J Roth; Mary Ann Moran
Journal:  ISME J       Date:  2017-07-21       Impact factor: 10.302

4.  Marine microbiology. An interkingdom partnership.

Authors:  Naomi Attar
Journal:  Nat Rev Microbiol       Date:  2015-06-15       Impact factor: 60.633

5.  Microbiology: Exclusive networks in the sea.

Authors:  Alexander J Limardo; Alexandra Z Worden
Journal:  Nature       Date:  2015-05-27       Impact factor: 49.962

6.  Phycosphere Microbial Succession Patterns and Assembly Mechanisms in a Marine Dinoflagellate Bloom.

Authors:  Jin Zhou; Guo-Fu Chen; Ke-Zhen Ying; Hui Jin; Jun-Ting Song; Zhong-Hua Cai
Journal:  Appl Environ Microbiol       Date:  2019-07-18       Impact factor: 4.792

7.  Molecular insights into a dinoflagellate bloom.

Authors:  Weida Gong; Jamie Browne; Nathan Hall; David Schruth; Hans Paerl; Adrian Marchetti
Journal:  ISME J       Date:  2016-12-09       Impact factor: 10.302

8.  Niche dimensions of a marine bacterium are identified using invasion studies in coastal seawater.

Authors:  Brent Nowinski; Mary Ann Moran
Journal:  Nat Microbiol       Date:  2021-01-25       Impact factor: 17.745

9.  Interkingdom Cross-Feeding of Ammonium from Marine Methylamine-Degrading Bacteria to the Diatom Phaeodactylum tricornutum.

Authors:  Marcel Suleiman; Karsten Zecher; Onur Yücel; Nina Jagmann; Bodo Philipp
Journal:  Appl Environ Microbiol       Date:  2016-11-21       Impact factor: 4.792

10.  Ubiquitous marine bacterium inhibits diatom cell division.

Authors:  Helena M van Tol; Shady A Amin; E Virginia Armbrust
Journal:  ISME J       Date:  2016-09-13       Impact factor: 10.302

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