Brownlee Emily F.

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Brownlee

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Emily F.

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2014 labeled IFCB images

( 2014) Sosik, Heidi M. ; Peacock, Emily E. ; Brownlee, Emily F.
2011 labeled IFCB images

( 2011) Sosik, Heidi M. ; Peacock, Emily E. ; Brownlee, Emily F.
2007 labeled IFCB images

( 2007) Sosik, Heidi M. ; Peacock, Emily E. ; Brownlee, Emily F.
Microzooplankton community structure investigated with imaging flow cytometry and automated live-cell staining

(Inter-Research, 2016-05-25) Brownlee, Emily F. ; Olson, Robert J. ; Sosik, Heidi M.

Protozoa play important roles in grazing and nutrient recycling, but quantifying these roles has been hindered by difficulties in collecting, culturing, and observing these often-delicate cells. During long-term deployments at the Martha’s Vineyard Coastal Observatory (Massachusetts, USA), Imaging FlowCytobot (IFCB) has been shown to be useful for studying live cells in situ without the need to culture or preserve. IFCB records images of cells with chlorophyll fluorescence above a trigger threshold, so to date taxonomically resolved analysis of protozoa has presumably been limited to mixotrophs and herbivores which have eaten recently. To overcome this limitation, we have coupled a broad-application ‘live cell’ fluorescent stain with a modified IFCB so that protozoa which do not contain chlorophyll (such as consumers of unpigmented bacteria and other heterotrophs) can also be recorded. Staining IFCB (IFCB-S) revealed higher abundances of grazers than the original IFCB, as well as some cell types not previously detected. Feeding habits of certain morphotypes could be inferred from their fluorescence properties: grazers with stain fluorescence but without chlorophyll cannot be mixotrophs, but could be either starving or feeding on heterotrophs. Comparisons between cell counts for IFCB-S and manual light microscopy of Lugol’s stained samples showed consistently similar or higher counts from IFCB-S. We show how automated classification through the extraction of image features and application of a machine-learning algorithm can be used to evaluate the large high-resolution data sets collected by IFCBs; the results reveal varying seasonal patterns in abundance among groups of protists.
2013 labeled IFCB images

( 2013) Sosik, Heidi M. ; Peacock, Emily E. ; Brownlee, Emily F.
Sixty years of Sverdrup : a retrospective of progress in the study of phytoplankton blooms

(The Oceanography Society, 2014-03) Fischer, Alexis D. ; Moberg, Emily A. ; Alexander, Harriet ; Brownlee, Emily F. ; Hunter-Cevera, Kristen R. ; Pitz, Kathleen J. ; Rosengard, Sarah Z. ; Sosik, Heidi M.

One of the most dramatic large-scale features in the ocean is the seasonal greening of the North Atlantic in spring and summer due to the accumulation of phytoplankton biomass in the surface layer. In 1953, Harald Ulrik Sverdrup hypothesized a now canonical mechanism for the development and timing of phytoplankton blooms in the North Atlantic. Over the next 60 years, Sverdrup's Critical Depth Hypothesis spurred progress in understanding of bloom dynamics and offered a valuable theoretical framework on which to build. In reviewing 60 years of literature, the authors trace the development of modern bloom initiation hypotheses, highlighting three case studies that illuminate the complexity, including both catalysts and impediments, of scientific progress in the wake of Sverdrup's hypothesis. Most notably, these cases demonstrate that the evolution of our understanding of phytoplankton blooms was paced by access not only to technology but also to concurrent insights from several disciplines. This exploration of the trajectories and successes in bloom studies highlights the need for expanding interdisciplinary collaborations to address the complexity of phytoplankton bloom dynamics.
2006 labeled IFCB images

( 2006) Sosik, Heidi M. ; Peacock, Emily E. ; Brownlee, Emily F.
2010 labeled IFCB images

( 2010) Sosik, Heidi M. ; Peacock, Emily E. ; Brownlee, Emily F.
2012 labeled IFCB images

( 2012) Sosik, Heidi M. ; Peacock, Emily E. ; Brownlee, Emily F.
2009 labeled IFCB images

( 2009) Sosik, Heidi M. ; Peacock, Emily E. ; Brownlee, Emily F.
2008 labeled IFCB images

( 2008) Sosik, Heidi M. ; Peacock, Emily E. ; Brownlee, Emily F.
High grazing rates on cryptophyte algae in Chesapeake Bay

(Frontiers Media, 2018-07-25) Johnson, Matthew D. ; Beaudoin, David J. ; Frada, Miguel J. ; Brownlee, Emily F. ; Stoecker, Diane K.

Cryptophyte algae are globally distributed photosynthetic flagellates found in freshwater, estuarine, and neritic ecosystems. While cryptophytes can be highly abundant and are consumed by a wide variety of protistan predators, few studies have sought to quantify in situ grazing rates on their populations. Here we show that autumnal grazing rates on in situ communities of cryptophyte algae in Chesapeake Bay are high throughout the system, while growth rates, particularly in the lower bay, were low. Analysis of the genetic diversity of cryptophyte populations within dilution experiments suggests that microzooplankton may be selectively grazing the fastest-growing members of the population, which were generally Teleaulax spp. We also demonstrate that potential grazing rates of ciliates and dinoflagellates on fluorescently labeled (FL) Rhodomonas salina, Storeatula major, and Teleaulax amphioxeia can be high (up to 149 prey predator−1 d−1), and that a Gyrodinium sp. and Mesodinium rubrum could be selective grazers. Potential grazing was highest for heterotrophic dinoflagellates, but due to its abundance, M. rubrum also had a high overall impact. This study reveals that cryptophyte algae in Chesapeake Bay can experience extremely high grazing pressure from phagotrophic protists, and that this grazing likely shapes their community diversity.
Ciliate micrograzer dynamics of the New England Shelf

(Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2017-06) Brownlee, Emily F.

Protists play important roles in grazing and nutrient recycling, but quantifying these roles has been hindered by difficulties in collecting, culturing, and observing these often-delicate cells. During long-term deployments at theMartha’s Vineyard Coastal Observatory (MVCO) (Massachusetts, USA), Imaging FlowCytobot (IFCB) made it possible to study live cells in situ without the need to culture or preserve. IFCB records images of cells with chlorophyll fluorescence above a trigger threshold, so taxonomically resolved analysis of protists is limited to mixotrophs and herbivores, which have eaten recently. To overcome this limitation, I coupled a broad-application ‘live cell’ fluorescent stain with a modified IFCB so that protists which do not contain chlorophyll (such as consumers of unpigmented bacteria and other heterotrophs) can also be recorded. Staining IFCB (IFCB-S) revealed higher abundances of grazers than the original IFCB, as well as some cell types not previously detected. To analyze a 10-year time series of herbivorous ciliates at MVCO and address broad patterns of seasonality of major ciliate classes and their components, I employed a statistical model that estimates a seasonal density pattern and simultaneously accounts for and separates any annual-scale effects. I describe the seasonality of three functional groups: a phototrophic ciliate, a mixotroph, and a group of strict heterotrophs, and comment on potential drivers of these patterns. DNA sequencing has also contributed to the study of protist communities, providing new insight into diversity, predator-prey interactions, and discrepancies between morphologically defined species and genotype. To explore how well IFCB images can be used to detect seasonal community change of the class Spirotrichea, an important and numerous group, I used high-throughput sequencing (HTS), which does not discriminate between chlorophyll-containing cells and the rest of the community. I report on species and genera of ciliates for which morphotype and genotype displayed high congruency. In comparing how well temporal aspects of genotypes and morphotypes correspond, I found that HTS was critical to detect and identify certain ciliates occupying a niche associated with warmer temperatures. I further showed that when these types of analyses are combined with IFCB results, they can provide hypotheses about food preferences.

Brownlee Emily F.

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