Evidence map›Paper›PMID 33188261›Full record

ArticleScientific reports2020

Seasonal impact of grazing, viral mortality, resource availability and light on the group-specific growth rates of coastal Mediterranean bacterioplankton.

Olga Sánchez, Isabel Ferrera, Isabel Mabrito, Carlota R Gazulla, Marta Sebastián, Adrià Auladell, Carolina Marín-Vindas, Clara Cardelús, Isabel Sanz-Sáez, Massimo C Pernice and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  10. mSystems · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Olga SánchezDepartament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalunya, Spain. olga.sanchez@uab.es.
Isabel FerreraCentro Oceanográfico de Málaga, Instituto Español de Oceanografía, 29640, Fuengirola, Málaga, Spain. isabel.ferrera@ieo.es.
Isabel MabritoDepartament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalunya, Spain.
Carlota R GazullaDepartament de Genètica i Microbiologia, Universitat Autònoma de Barcelona, 08193, Bellaterra, Catalunya, Spain.
Marta SebastiánDepartament de Biologia Marina i Oceanografia, Institut de Ciències del Mar, ICM-CSIC, 08003, Barcelona, Catalunya, Spain.
Adrià AuladellDepartament de Biologia Marina i Oceanografia, Institut de Ciències del Mar, ICM-CSIC, 08003, Barcelona, Catalunya, Spain.
Carolina Marín-VindasDepartament de Biologia Marina i Oceanografia, Institut de Ciències del Mar, ICM-CSIC, 08003, Barcelona, Catalunya, Spain.
Clara CardelúsDepartament de Biologia Marina i Oceanografia, Institut de Ciències del Mar, ICM-CSIC, 08003, Barcelona, Catalunya, Spain.
Isabel Sanz-SáezDepartament de Biologia Marina i Oceanografia, Institut de Ciències del Mar, ICM-CSIC, 08003, Barcelona, Catalunya, Spain.
Massimo C PerniceDepartament de Biologia Marina i Oceanografia, Institut de Ciències del Mar, ICM-CSIC, 08003, Barcelona, Catalunya, Spain.
Cèlia MarraséDepartament de Biologia Marina i Oceanografia, Institut de Ciències del Mar, ICM-CSIC, 08003, Barcelona, Catalunya, Spain.
M Montserrat SalaDepartament de Biologia Marina i Oceanografia, Institut de Ciències del Mar, ICM-CSIC, 08003, Barcelona, Catalunya, Spain.
Josep M GasolDepartament de Biologia Marina i Oceanografia, Institut de Ciències del Mar, ICM-CSIC, 08003, Barcelona, Catalunya, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estimation of prokaryotic growth rates is critical to understand the ecological role and contribution of different microbes to marine biogeochemical cycles. However, there is a general lack of knowledge on what factors control the growth rates of different prokaryotic groups and how these vary between sites and along seasons at a given site. We carried out several manipulation experiments during the four astronomical seasons in the coastal NW Mediterranean in order to evaluate the impact of grazing, viral mortality, resource competition and light on the growth and loss rates of prokaryotes. Gross and net growth rates of different bacterioplankton groups targeted by group-specific CARD-FISH probes and infrared microscopy (for aerobic anoxygenic phototrophs, AAP), were calculated from changes in cell abundances. Maximal group-specific growth rates were achieved when both predation pressure and nutrient limitation were experimentally minimized, while only a minimal effect of viral pressure on growth rates was observed; nevertheless, the response to predation removal was more remarkable in winter, when the bacterial community was not subjected to nutrient limitation. Although all groups showed increases in their growth rates when resource competition as well as grazers and viral pressure were reduced, Alteromonadaceae consistently presented the highest rates in all seasons. The response to light availability was generally weaker than that to the other factors, but it was variable between seasons. In summer and spring, the growth rates of AAP were stimulated by light whereas the growth of the SAR11 clade (likely containing proteorhodopsin) was enhanced by light in all seasons. Overall, our results set thresholds on bacterioplankton group-specific growth and mortality rates and contribute to estimate the seasonally changing contribution of various bacterioplankton groups to the function of microbial communities. Our results also indicate that the least abundant groups display the highest growth rates, contributing to the recycling of organic matter to a much greater extent than what their abundances alone would predict.

Indexed as

Infrared RaysLightAlteromonadaceaeMicrobiotaSpectrophotometry, Infrared

Identifiers

PMID33188261
PMCPMC7666142

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.