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Record W2770634371 · doi:10.1128/aem.01517-17

Dynamics of Heterotrophic Bacterial Assemblages within Synechococcus Cultures

2017· article· en· W2770634371 on OpenAlexaff
Qiang Zheng, Yu Wang, Rui Xie, Andrew S. Lang, Yanting Liu, Jiayao Lu, Xiaodong Zhang, Jun Sun, Curtis A. Suttle, Nianzhi Jiao

Bibliographic record

VenueApplied and Environmental Microbiology · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Community Ecology and Physiology
Canadian institutionsFisheries and Oceans CanadaUniversity of British ColumbiaCanadian Institute for Advanced ResearchMemorial University of Newfoundland
FundersNational Natural Science Foundation of China
KeywordsGammaproteobacteriaBiologySynechococcusActinobacteriaCytophagaAlphaproteobacteriaHeterotrophBacteriaCyanobacteriaRoseobacterPopulationMicrobial population biologyMicrobiologyEcologyBotanyFlavobacteriumPseudomonas16S ribosomal RNAPhylogeneticsBiochemistryClade

Abstract

fetched live from OpenAlex

ABSTRACT Interactions between photoautotrophic and heterotrophic microorganisms are central to the marine microbial ecosystem. Lab cultures of one of the dominant marine photoautotrophs, Synechococcus , have historically been difficult to render axenic, presumably because these bacteria depend upon other organisms to grow under these conditions. These tight associations between Synechococcus and heterotrophic bacteria represent a good relevant system to study interspecies interactions. Ten individual Synechococcus strains, isolated from eutrophic and oligotrophic waters, were chosen for investigation. Four to six dominant associated heterotrophic bacteria were detected in the liquid cultures of each Synechococcus isolate, comprising members of the Cytophaga - Flavobacteria - Bacteroides (CFB) group (mainly from Flavobacteriales and Cytophagales ), Alphaproteobacteria (mainly from the Roseobacter clade), Gammaproteobacteria (mainly from the Alteromonadales and Pseudomonadales ), and Actinobacteria . The presence of the CFB group, Gammaproteobacteria , and Actinobacteria showed clear geographic patterns related to the isolation environments of the Synechococcus bacteria. An investigation of the population dynamics within a growing culture (XM-24) of one of the isolates, including an evaluation of the proportions of cells that were free-living versus aggregated/attached, revealed interesting patterns for different bacterial groups. In Synechococcus sp. strain XM-24 culture, flavobacteria, which was the most abundant group throughout the culture period, tended to be aggregated or attached to the Synechococcus cells, whereas the actinobacteria demonstrated a free-living lifestyle, and roseobacters displayed different patterns depending on the culture growth phase. Factors contributing to these succession patterns for the heterotrophs likely include interactions among the culture community members, their relative abilities to utilize different compounds produced by Synechococcus cells and changes in the compounds released as culture growth proceeds, and their responses to other changes in the environmental conditions throughout the culture period. IMPORTANCE Marine microbes exist within an interactive ecological network, and studying their interactions is an important part of understanding their roles in global biogeochemical cycling and the determinants of microbial diversity. In this study, the dynamic relationships between Synechococcus spp. and their associated heterotrophic bacteria were investigated. Synechococcus -associated heterotrophic bacteria had similar geographic distribution patterns as their “host” and displayed different lifestyles (free-living versus attached/aggregated) according to the Synechococcus culture growth phases. Combined organic carbon composition and bacterial lifestyle data indicated a potential for succession in carbon utilization patterns by the dominant associated heterotrophic bacteria. Comprehending the interactions between photoautotrophs and heterotrophs and the patterns of organic carbon excretion and utilization is critical to understanding their roles in oceanic biogeochemical cycling.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.205
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations76
Published2017
Admission routes1
Has abstractyes

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