Metatranscriptome analyses indicate resource partitioning between diatoms in the field

Diverse communities of marine phytoplankton carry out half of global primary production. The vast diversity of the phytoplankton has long perplexed ecologists because these organisms coexist in an isotropic environment while competing for the same basic resources (e.g., inorganic nutrients). Differe...

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Main Authors: Alexander, Harriet, Jenkins, Bethany D., Rynearson, Tatiana A., Dyhrman, Sonya T.
Other Authors: Joint Program in Oceanography/Applied Ocean Science and Engineering
Format: Article
Language:en_US
Published: National Academy of Sciences (U.S.) 2015
Online Access:http://hdl.handle.net/1721.1/99118
https://orcid.org/0000-0003-1308-8008
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author Alexander, Harriet
Jenkins, Bethany D.
Rynearson, Tatiana A.
Dyhrman, Sonya T.
author2 Joint Program in Oceanography/Applied Ocean Science and Engineering
author_facet Joint Program in Oceanography/Applied Ocean Science and Engineering
Alexander, Harriet
Jenkins, Bethany D.
Rynearson, Tatiana A.
Dyhrman, Sonya T.
author_sort Alexander, Harriet
collection MIT
description Diverse communities of marine phytoplankton carry out half of global primary production. The vast diversity of the phytoplankton has long perplexed ecologists because these organisms coexist in an isotropic environment while competing for the same basic resources (e.g., inorganic nutrients). Differential niche partitioning of resources is one hypothesis to explain this “paradox of the plankton,” but it is difficult to quantify and track variation in phytoplankton metabolism in situ. Here, we use quantitative metatranscriptome analyses to examine pathways of nitrogen (N) and phosphorus (P) metabolism in diatoms that cooccur regularly in an estuary on the east coast of the United States (Narragansett Bay). Expression of known N and P metabolic pathways varied between diatoms, indicating apparent differences in resource utilization capacity that may prevent direct competition. Nutrient amendment incubations skewed N/P ratios, elucidating nutrient-responsive patterns of expression and facilitating a quantitative comparison between diatoms. The resource-responsive (RR) gene sets deviated in composition from the metabolic profile of the organism, being enriched in genes associated with N and P metabolism. Expression of the RR gene set varied over time and differed significantly between diatoms, resulting in opposite transcriptional responses to the same environment. Apparent differences in metabolic capacity and the expression of that capacity in the environment suggest that diatom-specific resource partitioning was occurring in Narragansett Bay. This high-resolution approach highlights the molecular underpinnings of diatom resource utilization and how cooccurring diatoms adjust their cellular physiology to partition their niche space.
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spelling mit-1721.1/991182022-09-29T17:35:08Z Metatranscriptome analyses indicate resource partitioning between diatoms in the field Alexander, Harriet Jenkins, Bethany D. Rynearson, Tatiana A. Dyhrman, Sonya T. Joint Program in Oceanography/Applied Ocean Science and Engineering Massachusetts Institute of Technology. Department of Biology Woods Hole Oceanographic Institution Alexander, Harriet Diverse communities of marine phytoplankton carry out half of global primary production. The vast diversity of the phytoplankton has long perplexed ecologists because these organisms coexist in an isotropic environment while competing for the same basic resources (e.g., inorganic nutrients). Differential niche partitioning of resources is one hypothesis to explain this “paradox of the plankton,” but it is difficult to quantify and track variation in phytoplankton metabolism in situ. Here, we use quantitative metatranscriptome analyses to examine pathways of nitrogen (N) and phosphorus (P) metabolism in diatoms that cooccur regularly in an estuary on the east coast of the United States (Narragansett Bay). Expression of known N and P metabolic pathways varied between diatoms, indicating apparent differences in resource utilization capacity that may prevent direct competition. Nutrient amendment incubations skewed N/P ratios, elucidating nutrient-responsive patterns of expression and facilitating a quantitative comparison between diatoms. The resource-responsive (RR) gene sets deviated in composition from the metabolic profile of the organism, being enriched in genes associated with N and P metabolism. Expression of the RR gene set varied over time and differed significantly between diatoms, resulting in opposite transcriptional responses to the same environment. Apparent differences in metabolic capacity and the expression of that capacity in the environment suggest that diatom-specific resource partitioning was occurring in Narragansett Bay. This high-resolution approach highlights the molecular underpinnings of diatom resource utilization and how cooccurring diatoms adjust their cellular physiology to partition their niche space. American Society for Engineering Education. National Defense Science and Engineering Graduate Fellowship 2015-10-01T12:46:13Z 2015-10-01T12:46:13Z 2015-04 2014-11 Article http://purl.org/eprint/type/JournalArticle 0027-8424 1091-6490 http://hdl.handle.net/1721.1/99118 Alexander, Harriet, Bethany D. Jenkins, Tatiana A. Rynearson, and Sonya T. Dyhrman. “Metatranscriptome Analyses Indicate Resource Partitioning Between Diatoms in the Field.” Proc Natl Acad Sci USA 112, no. 17 (April 13, 2015): E2182–E2190. https://orcid.org/0000-0003-1308-8008 en_US http://dx.doi.org/10.1073/pnas.1421993112 Proceedings of the National Academy of Sciences Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf National Academy of Sciences (U.S.) National Academy of Sciences (U.S.)
spellingShingle Alexander, Harriet
Jenkins, Bethany D.
Rynearson, Tatiana A.
Dyhrman, Sonya T.
Metatranscriptome analyses indicate resource partitioning between diatoms in the field
title Metatranscriptome analyses indicate resource partitioning between diatoms in the field
title_full Metatranscriptome analyses indicate resource partitioning between diatoms in the field
title_fullStr Metatranscriptome analyses indicate resource partitioning between diatoms in the field
title_full_unstemmed Metatranscriptome analyses indicate resource partitioning between diatoms in the field
title_short Metatranscriptome analyses indicate resource partitioning between diatoms in the field
title_sort metatranscriptome analyses indicate resource partitioning between diatoms in the field
url http://hdl.handle.net/1721.1/99118
https://orcid.org/0000-0003-1308-8008
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