Church Matthew J.

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Church

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Matthew J.

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0000-0002-6166-8579

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Interannual variability of primary production and dissolved organic nitrogen storage in the North Pacific Subtropical Gyre

(American Geophysical Union, 2012-08-10) Luo, Ya-Wei ; Ducklow, Hugh W. ; Friedrichs, Marjorie A. M. ; Church, Matthew J. ; Karl, David M. ; Doney, Scott C.

The upper ocean primary production measurements from the Hawaii Ocean Time series (HOT) at Station ALOHA in the North Pacific Subtropical Gyre showed substantial variability over the last two decades. The annual average primary production varied within a limited range over 1991–1998, significantly increased in 1999–2000 and then gradually decreased afterwards. This variability was investigated using a one-dimensional ecosystem model. The long-term HOT observations were used to constrain the model by prescribing physical forcings and lower boundary conditions and optimizing the model parameters against data using data assimilation. The model reproduced the general interannual pattern in the observed primary production, and mesoscale variability in vertical velocity was identified as a major contributing factor to the interannual variability in the simulation. Several strong upwelling events occurred in 1999, which brought up nitrate at rates several times higher than other years and elevated the model primary production. Our model results suggested a hypothesis for the observed interannual variability pattern of primary production at Station ALOHA: Part of the upwelled nitrate input in 1999 was converted to and accumulated as semilabile dissolved organic nitrogen (DON), and subsequent recycling of this semilabile DON supported enhanced primary productivity for the next several years as the semilabile DON perturbation was gradually removed via export.
Particulate Th-234 collected using large volume McLane pumps (LVPs) as part of the EAGER chief scientist training cruise (KM1910) at Station ALOHA, subtropical North Pacific gyre in June 2019

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-07-20) Kenyon, Jennifer ; Black, Erin ; Church, Matthew J.

This dataset includes particulate Th-234 collected using large volume McLane pumps (LVPs) as part of the EAGER chief scientist training cruise at Station ALOHA in the subtropical North Pacific gyre in June 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/854150
Sinking particle from R/V Kilo Moana cruise KM1910 in June 2019

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-08-24) Church, Matthew J. ; Maloney, Ashley ; Subhas, Adam V. ; Black, Erin ; Kenyon, Jennifer ; White, Angelicque E. ; Goetze, Erica ; Ferron, Sara

Phosphorus, carbon (total and organic), and nitrogen flux and bulk isotope composition (C and N) from 3-day pit trap deployments in June 2019 at station ALOHA during cruise KM1910. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/852779
Rates of primary and bacterial production, and chlorophyll concentrations measured experimentally under ambient and elevated pCO2 (750 or 1100 µatm) from Hawaii Ocean Time-series near Station ALOHA from 2010-2011.

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-06-13) Church, Matthew J. ; Letelier, Ricardo

Rates of primary and bacterial production, and chlorophyll concentrations measured experimentally under ambient and elevated pCO2 (750 or 1100 µatm) from Hawaii Ocean Time-series near Station ALOHA from 2010-2011. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/726342
Particulate Th-234 collected with surface-tethered sediment traps at Station ALOHA as part of the EAGER chief scientist training cruise (KM1910) in the subtropical North Pacific gyre in June 2019

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-07-20) Kenyon, Jennifer ; Black, Erin ; Church, Matthew J.

This dataset includes particulate Th-234 collected with surface-tethered sediment traps at Station ALOHA as part of the EAGER chief scientist training cruise (KM1910) in the subtropical North Pacific gyre in June 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/854241
Particulate phosphate, particulate carbon, particulate nitrogen, particulate bulk isotope composition (C and N), and dissolved oxygen from Niskin bottle samples collected on R/V Kilo Moana cruise KM1910 in June 2019

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-06-08) Church, Matthew J. ; White, Angelicque E. ; Goetze, Erica ; Ferron, Sara ; Maloney, Ashley

Particulate phosphate, particulate carbon, particulate nitrogen, particulate bulk isotope composition (C and N), and dissolved oxygen, collected with Niskin bottles during CTD deployments in June 2019 at station ALOHA during cruise KM1910. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/852179
Oceanic heterotrophic bacterial nutrition by semilabile DOM as revealed by data assimilative modeling

(Inter-Research, 2010-08-03) Luo, Ya-Wei ; Friedrichs, Marjorie A. M. ; Doney, Scott C. ; Church, Matthew J. ; Ducklow, Hugh W.

Previous studies have focused on the role of labile dissolved organic matter (DOM) (defined as turnover time of ~1 d) in supporting heterotrophic bacterial production, but have mostly neglected semilabile DOM (defined as turnover time of ~100 to 1000 d) as a potential substrate for heterotrophic bacterial growth. To test the hypothesis that semilabile DOM supports substantial amounts of heterotrophic bacterial production in the open ocean, we constructed a 1-dimensional epipelagic ecosystem model and applied it to 3 open ocean sites: the Arabian Sea, Equatorial Pacific and Station ALOHA in the North Pacific Subtropical Gyre. The model tracks carbon, nitrogen and phosphorus with flexible stoichiometry. This study used a large number of observations, including measurements of heterotrophic bacterial production rates and standing stocks, and DOM concentration data, to rigorously test and constrain model output. Data assimilation was successfully applied to optimize the model parameters and resulted in simultaneous representation of observed nitrate, phosphate, phytoplankton and zooplankton biomass, primary production, heterotrophic bacterial biomass and production, DOM, and suspended and sinking particulate organic matter. Across the 3 ocean ecosystems examined, the data assimilation suggests semilabile DOM may support 17 to 40% of heterotrophic bacterial carbon demand. In an experiment where bacteria only utilize labile DOM, and with more of the DOM production assigned to labile DOM, the model poorly represented the observations. These results suggest that semilabile DOM may play an important role in sustaining heterotrophic bacterial growth in diverse regions of the open ocean.
Challenges of modeling depth-integrated marine primary productivity over multiple decades : a case study at BATS and HOT

(American Geophysical Union, 2010-09-15) Saba, Vincent S. ; Friedrichs, Marjorie A. M. ; Carr, Mary-Elena ; Antoine, David ; Armstrong, Robert A. ; Asanuma, Ichio ; Aumont, Olivier ; Bates, Nicholas R. ; Behrenfeld, Michael J. ; Bennington, Val ; Bopp, Laurent ; Bruggeman, Jorn ; Buitenhuis, Erik T. ; Church, Matthew J. ; Ciotti, Aurea M. ; Doney, Scott C. ; Dowell, Mark ; Dunne, John P. ; Dutkiewicz, Stephanie ; Gregg, Watson ; Hoepffner, Nicolas ; Hyde, Kimberly J. W. ; Ishizaka, Joji ; Kameda, Takahiko ; Karl, David M. ; Lima, Ivan D. ; Lomas, Michael W. ; Marra, John F. ; McKinley, Galen A. ; Melin, Frederic ; Moore, J. Keith ; Morel, Andre ; O'Reilly, John ; Salihoglu, Baris ; Scardi, Michele ; Smyth, Tim J. ; Tang, Shilin ; Tjiputra, Jerry ; Uitz, Julia ; Vichi, Marcello ; Waters, Kirk ; Westberry, Toby K. ; Yool, Andrew

The performance of 36 models (22 ocean color models and 14 biogeochemical ocean circulation models (BOGCMs)) that estimate depth-integrated marine net primary productivity (NPP) was assessed by comparing their output to in situ 14C data at the Bermuda Atlantic Time series Study (BATS) and the Hawaii Ocean Time series (HOT) over nearly two decades. Specifically, skill was assessed based on the models' ability to estimate the observed mean, variability, and trends of NPP. At both sites, more than 90% of the models underestimated mean NPP, with the average bias of the BOGCMs being nearly twice that of the ocean color models. However, the difference in overall skill between the best BOGCM and the best ocean color model at each site was not significant. Between 1989 and 2007, in situ NPP at BATS and HOT increased by an average of nearly 2% per year and was positively correlated to the North Pacific Gyre Oscillation index. The majority of ocean color models produced in situ NPP trends that were closer to the observed trends when chlorophyll-a was derived from high-performance liquid chromatography (HPLC), rather than fluorometric or SeaWiFS data. However, this was a function of time such that average trend magnitude was more accurately estimated over longer time periods. Among BOGCMs, only two individual models successfully produced an increasing NPP trend (one model at each site). We caution against the use of models to assess multiannual changes in NPP over short time periods. Ocean color model estimates of NPP trends could improve if more high quality HPLC chlorophyll-a time series were available.
Towards a transformative understanding of the ocean’s biological pump: Priorities for future research - Report on the NSF Biology of the Biological Pump Workshop

(Ocean Carbon & Biogeochemistry (OCB) Program, 2016-08-24) Burd, Adrian B. ; Buchan, Alison ; Church, Matthew J. ; Landry, Michael R. ; McDonnell, Andrew M. P. ; Passow, Uta ; Steinberg, Deborah K. ; Benway, Heather M.

The net transfer of organic matter from the surface to the deep ocean is a key function of ocean food webs. The combination of biological, physical, and chemical processes that contribute to and control this export is collectively known as the “biological pump”, and current estimates of the global magnitude of this export range from 5 – 12 Pg C yr-1. This material can be exported in dissolved or particulate form, and many of the biological processes that regulate the composition, quantity, timing, and distribution of this export are poorly understood or constrained. Export of organic material is of fundamental importance to the biological and chemical functioning of the ocean, supporting deep ocean food webs and controlling the vertical and horizontal segregation of elements throughout the ocean. Remineralization of exported organic matter in the upper mesopelagic zone provides nutrients for surface production, while material exported to depths of 1000 m or more is generally considered to be sequestered — i.e. out of contact with the atmosphere for centuries or longer. The ability to accurately model a system is a reflection of the degree to which the system is understood. In the case of export, semi-empirical and simple mechanistic models show a wide range of predictive skill. This is, in part, due to the sparseness of available data, which impedes our inability to accurately represent, or even include, all relevant processes (sometimes for legitimate computational reasons). Predictions will remain uncertain without improved understanding and parameterization of key biological processes affecting export.
Iron depletion in the deep chlorophyll maximum: mesoscale eddies as natural iron fertilization experiments

(American Geophysical Union, 2021-11-17) Hawco, Nicholas J. ; Barone, Benedetto ; Church, Matthew J. ; Babcock-Adams, Lydia ; Repeta, Daniel J. ; Wear, Emma K. ; Foreman, Rhea K. ; Björkman, Karin M. ; Bent, Shavonna M. ; Van Mooy, Benjamin A. S. ; Sheyn, Uri ; DeLong, Edward F. ; Acker, Marianne ; Kelly, Rachel L. ; Nelson, Alexa ; Ranieri, John ; Clemente, Tara M. ; Karl, David M. ; John, Seth G.

In stratified oligotrophic waters, phytoplankton communities forming the deep chlorophyll maximum (DCM) are isolated from atmospheric iron sources above and remineralized iron sources below. Reduced supply leads to a minimum in dissolved iron (dFe) near 100 m, but it is unclear if iron limits growth at the DCM. Here, we propose that natural iron addition events occur regularly with the passage of mesoscale eddies, which alter the supply of dFe and other nutrients relative to the availability of light, and can be used to test for iron limitation at the DCM. This framework is applied to two eddies sampled in the North Pacific Subtropical Gyre. Observations in an anticyclonic eddy center indicated downwelling of iron-rich surface waters, leading to increased dFe at the DCM but no increase in productivity. In contrast, uplift of isopycnals within a cyclonic eddy center increased supply of both nitrate and dFe to the DCM, and led to dominance of picoeukaryotic phytoplankton. Iron addition experiments did not increase productivity in either eddy, but significant enhancement of leucine incorporation in the light was observed in the cyclonic eddy, a potential indicator of iron stress among Prochlorococcus. Rapid cycling of siderophores and low dFe:nitrate uptake ratios also indicate that a portion of the microbial community was stressed by low iron. However, near-complete nitrate drawdown in this eddy, which represents an extreme case in nutrient supply compared to nearby Hawaii Ocean Time-series observations, suggests that recycling of dFe in oligotrophic ecosystems is sufficient to avoid iron limitation in the DCM under typical conditions.
Ocean time series observations of changing marine ecosystems: An era of integration, synthesis, and societal applications

(Frontiers Media, 2019-07-12) Benway, Heather M. ; Lorenzoni, Laura ; White, Angelicque E. ; Fiedler, Björn ; Levine, Naomi M. ; Nicholson, David P. ; DeGrandpre, Michael D. ; Sosik, Heidi M. ; Church, Matthew J. ; O'Brien, Todd D. ; Leinen, Margaret S. ; Weller, Robert A. ; Karl, David M. ; Henson, Stephanie A. ; Letelier, Ricardo M.

Sustained ocean time series are critical for characterizing marine ecosystem shifts in a time of accelerating, and at times unpredictable, changes. They represent the only means to distinguish between natural and anthropogenic forcings, and are the best tools to explore causal links and implications for human communities that depend on ocean resources. Since the inception of sustained ocean observations, ocean time series have withstood many challenges, most prominently availability of uninterrupted funding and retention of trained personnel. This OceanObs’19 review article provides an overarching vision for sustained ocean time series observations for the next decade, focusing on the growing challenges of maintaining sustained ocean time series, including ship-based and autonomous coastal and open-ocean platforms, as well as remote sensing. In addition to increased diversification of funding sources to include the private sector, NGOs, and other groups, more effective engagement of stakeholders and other end-users will be critical to ensure the sustainability of ocean time series programs. Building a cohesive international time series network will require dedicated capacity to coordinate across observing programs and leverage existing infrastructure and platforms of opportunity. This review article outlines near-term observing priorities and technology needs; explores potential mechanisms to broaden ocean time series data applications and end-user communities; and describes current tools and future requirements for managing increasingly complex multi-platform data streams and developing synthesis products that support science and society. The actionable recommendations outlined herein ultimately form the basis for a robust, sustainable, fit-for-purpose time series network that will foster a predictive understanding of changing ocean systems for the benefit of society.
Diversity and productivity of photosynthetic picoeukaryotes in biogeochemically distinct regions of the South East Pacific Ocean

(John Wiley & Sons, 2016-01-08) Rii, Yoshimi M. ; Duhamel, Solange ; Bidigare, Robert R. ; Karl, David M. ; Repeta, Daniel J. ; Church, Matthew J.

Picophytoplankton, including photosynthetic picoeukaryotes (PPE) and unicellular cyanobacteria, are important contributors to plankton biomass and primary productivity. In this study, phytoplankton composition and rates of carbon fixation were examined across a large trophic gradient in the South East Pacific Ocean (SEP) using a suite of approaches: photosynthetic pigments, rates of 14C-primary productivity, and phylogenetic analyses of partial 18S rRNA genes PCR amplified and sequenced from flow cytometrically sorted cells. While phytoplankton >10 μm (diatoms and dinoflagellates) were prevalent in the upwelling region off the Chilean coast, picophytoplankton consistently accounted for 55–92% of the total chlorophyll a inventories and >60% of 14C-primary productivity throughout the sampling region. Estimates of rates of 14C-primary productivity derived from flow cytometric sorting of radiolabeled cells revealed that the contributions of PPE and Prochlorococcus to euphotic zone depth-integrated picoplankton productivity were nearly equivalent (ranging 36–57%) along the transect, with PPE comprising a larger share of picoplankton productivity than cyanobacteria in the well-lit (>15% surface irradiance) region compared with in the lower regions (1–7% surface irradiance) of the euphotic zone. 18S rRNA gene sequence analyses revealed the taxonomic identities of PPE; e.g., Mamiellophyceae (Ostreococcus) were the dominant PPE in the upwelling-influenced waters, while members of the Chrysophyceae, Prymnesiophyceae, Pelagophyceae, and Prasinophyceae Clades VII and IX flourished in the oligotrophic South Pacific Subtropical Gyre. Our results suggest that, despite low numerical abundance in comparison to cyanobacteria, diverse members of PPE are significant contributors to carbon cycling across biogeochemically distinct regions of the SEP.
Short-term variability in euphotic zone biogeochemistry and primary productivity at Station ALOHA : a case study of summer 2012

(John Wiley & Sons, 2015-08-13) Wilson, Samuel T. ; Barone, Benedetto ; Ascani, Francois ; Bidigare, Robert R. ; Church, Matthew J. ; del Valle, Daniela A. ; Dyhrman, Sonya T. ; Ferroon, Sara ; Fitzsimmons, Jessica N. ; Juranek, Laurie W. ; Kolber, Zbigniew S. ; Letelier, Ricardo M. ; Martinez-Garcia, Sandra ; Nicholson, David P. ; Richards, Kelvin J. ; Rii, Yoshimi M. ; Rouco, Monica ; Viviani, Donn A. ; White, Angelicque E. ; Zehr, Jonathan P. ; Karl, David M.

Time-series observations are critical to understand the structure, function, and dynamics of marine ecosystems. The Hawaii Ocean Time-series program has maintained near-monthly sampling at Station ALOHA (22°45′N, 158°00′W) in the oligotrophic North Pacific Subtropical Gyre (NPSG) since 1988 and has identified ecosystem variability over seasonal to interannual timescales. To further extend the temporal resolution of these near-monthly time-series observations, an extensive field campaign was conducted during July–September 2012 at Station ALOHA with near-daily sampling of upper water-column biogeochemistry, phytoplankton abundance, and activity. The resulting data set provided biogeochemical measurements at high temporal resolution and documents two important events at Station ALOHA: (1) a prolonged period of low productivity when net community production in the mixed layer shifted to a net heterotrophic state and (2) detection of a distinct sea-surface salinity minimum feature which was prominent in the upper water column (0–50 m) for a period of approximately 30 days. The shipboard observations during July–September 2012 were supplemented with in situ measurements provided by Seagliders, profiling floats, and remote satellite observations that together revealed the extent of the low productivity and the sea-surface salinity minimum feature in the NPSG.
Rates of primary and bacterial production measured in situ under ambient and elevated pCO2 (750 µatm) from the Hawaiian Ocean Time Series near Station ALOHA from 2010-2011.

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2019-06-12) Church, Matthew J. ; Letelier, Ricardo

Rates of primary and bacterial production measured in situ under ambient and elevated pCO2 (750 µatm) from the Hawaiian Ocean Time Series near Station ALOHA from 2010-2011. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/726341
CTD casts collected at station Kahe and ALOHA between June 15 and June 24, 2019 onboard R/V Kilo Moana cruise KM1910.

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-01-12) Church, Matthew J. ; Goetze, Erica

CTD hydrocast data from KM1910. Dataset includes up- and down-cast vertical profiles of pressure, temperature, salinity, dissolved oxygen, chloropigment fluorescence, beam transmissometry, and photosynthetically active radiation from all CTD rosette casts conducted during the cruise (22 discrete casts). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/854106
Sample metadata for MOCNESS tows conducted on R/V Kilo Moana cruise KM1910 at Station ALOHA during June 2019

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2022-02-15) Goetze, Erica ; Church, Matthew J. ; White, Angelicque E. ; Ferron, Sara

Metadata for samples collected by 1m2 MOCNESS on the Chief Scientist Training Cruise at station ALOHA in June 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/854424
Suspended particles from ship’s surface intake samples collected on R/V Kilo Moana cruise KM1910 in June 2019

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-06-08) Maloney, Ashley ; Church, Matthew J. ; White, Angelicque E. ; Goetze, Erica ; Ferron, Sara

Surface particulate carbon concentration, nitrogen concentration, and bulk isotope composition (C and N) from underway clean water intake during June 2019 at station ALOHA during cruise KM1910. Suspended particulates were collected while underway using the ship's clean surface water intake ( ~0 to 5 m ocean depth) in the hydro lab sink aboard RV Kilo Moana. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/852242
Suspended particles from in situ pumps on R/V Kilo Moana cruise KM1910 in June 2019

(Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu, 2021-08-24) Black, Erin ; Maloney, Ashley ; Subhas, Adam V. ; Kenyon, Jennifer ; Church, Matthew J. ; White, Angelicque E. ; Goetze, Erica ; Ferron, Sara

Suspended particulate total carbon concentration, organic carbon concentration, inorganic carbon concentration, nitrogen concentration, and bulk isotope composition (C and N) from in situ McLane pumps in June 2019 at station ALOHA during cruise KM1910. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/853048
Draft genome sequence of marine alphaproteobacterial strain HIMB11, the first cultivated representative of a unique lineage within the Roseobacter clade possessing an unusually small genome

(Genomic Standards Consortium, 2014) Durham, Bryndan P. ; Grote, Jana ; Whittaker, Kerry A. ; Bender, Sara J. ; Luo, Haiwei ; Grim, Sharon L. ; Brown, Julia M. ; Casey, John F. ; Dron, Antony ; Florez-Leiva, Lennis ; Krupke, Andreas ; Luria, Catherine M. ; Mine, Aric ; Nigro, Olivia D. ; Pather, Santhiska ; Talarmin, Agathe ; Wear, Emma K. ; Weber, Thomas S. ; Wilson, Jesse M. ; Church, Matthew J. ; DeLong, Edward F. ; Karl, David M. ; Steward, Grieg F. ; Eppley, John ; Kyrpides, Nikos C. ; Schuster, Stephan ; Rappe, Michael S.

Strain HIMB11 is a planktonic marine bacterium isolated from coastal seawater in Kaneohe Bay, Oahu, Hawaii belonging to the ubiquitous and versatile Roseobacter clade of the alphaproteobacterial family Rhodobacteraceae. Here we describe the preliminary characteristics of strain HIMB11, including annotation of the draft genome sequence and comparative genomic analysis with other members of the Roseobacter lineage. The 3,098,747 bp draft genome is arranged in 34 contigs and contains 3,183 protein-coding genes and 54 RNA genes. Phylogenomic and 16S rRNA gene analyses indicate that HIMB11 represents a unique sublineage within the Roseobacter clade. Comparison with other publicly available genome sequences from members of the Roseobacter lineage reveals that strain HIMB11 has the genomic potential to utilize a wide variety of energy sources (e.g. organic matter, reduced inorganic sulfur, light, carbon monoxide), while possessing a reduced number of substrate transporters.

Church Matthew J.

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