Metabarcoding Reveals Temporal Patterns of Community Composition and Realized Thermal Niches of Thalassiosira Spp. (Bacillariophyceae) from the Narragansett Bay Long-Term Plankton Time Series

Tatiana A. Rynearson*, Sarah A. Flickinger, Diana N. Fontaine

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Diatoms generate nearly half of marine primary production and are comprised of a diverse array of species that are often morphologically cryptic or difficult to identify using light microscopy. Here, species composition and realized thermal niches of species in the diatom genus Thalassiosira were examined at the site of the Narragansett Bay (NBay) Long-Term Plankton Time Series using a combination of light microscopy (LM), high-throughput sequencing (HTS) of the 18S rDNA V4 region and historical records. Thalassiosira species were identified over 6 years using a combination of LM and DNA sequences. Sixteen Thalassiosira taxa were identified using HTS: nine were newly identified in NBay. Several newly identified species have small cell diameters and are difficult to identify using LM. However, they appeared frequently and thus may play a significant ecological role in NBay, particularly since their realized niches suggest they are eurythermal and able to tolerate the >25 °C temperature range of NBay. Four distinct species assemblages that grouped by season were best explained by surface water temperature. When compared to historical records, we found that the cold-water species Thalassiosira nordenskioeldii has decreased in persistence over time, suggesting that increasing surface water temperature has influenced the ecology of phytoplankton in NBay.
Original languageEnglish
Article number19
Pages (from-to)1-19
Number of pages19
JournalBiology
Volume9
Issue number1
Early online date16 Jan 2020
DOIs
Publication statusPublished - Jan 2020
Externally publishedYes

Bibliographical note

This article belongs to the Special Issue: The Molecular Life of Diatoms: From Genes to Ecosystems

Funding

Funding: This research was supported by National Science Foundation (NSF) awards 1638834 and 1655686 (to TAR), the University of Rhode Island, via their ongoing support for the Narragansett Bay Long‐Term Plankton Time Series and NSF award OIA‐1655221 which partially supported DNF. This material is based upon work conducted at two Rhode Island NSF EPSCoR research facilities, the Genomics and Sequencing Center, University of Rhode Island and the Center for Computation and Visualization, Brown University, both supported in part by the National Science Foundation EPSCoR awards OIA‐1004057 and OIA‐1655221.

FundersFunder number
University of Rhode Island
Center for Computation and Visualization
Brown University
National Science Foundation EPSCoROIA‐1004057, OIA‐1655221
National Science Foundation1655686, 1655221, 1004057, 1638834

    Fingerprint

    Dive into the research topics of 'Metabarcoding Reveals Temporal Patterns of Community Composition and Realized Thermal Niches of Thalassiosira Spp. (Bacillariophyceae) from the Narragansett Bay Long-Term Plankton Time Series'. Together they form a unique fingerprint.

    Cite this