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 language | English |
|---|---|
| Article number | 19 |
| Pages (from-to) | 1-19 |
| Number of pages | 19 |
| Journal | Biology |
| Volume | 9 |
| Issue number | 1 |
| Early online date | 16 Jan 2020 |
| DOIs | |
| Publication status | Published - Jan 2020 |
| Externally published | Yes |
Bibliographical note
This article belongs to the Special Issue: The Molecular Life of Diatoms: From Genes to EcosystemsFunding
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.
| Funders | Funder number |
|---|---|
| University of Rhode Island | |
| Center for Computation and Visualization | |
| Brown University | |
| National Science Foundation EPSCoR | OIA‐1004057, OIA‐1655221 |
| National Science Foundation | 1655686, 1655221, 1004057, 1638834 |