Evidence map›Paper›PMID 39264060›Full record

ArticleFEMS microbiology ecology2024

Prokaryotic morphological features and maintenance activities governed by seasonal productivity conditions.

Ashish Verma, Dennis Amnebrink, Cheng Choo Lee, Sun Nyunt Wai, Linda Sandblad, Jarone Pinhassi, Johan Wikner

Abstract read
In one paragraph

Article in FEMS microbiology ecology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Ashish VermaDepartment of Ecology and Environmental Science, Umeå University, SE-901 87 Umeå, Sweden.ORCID 0000-0001-9734-5766
Dennis AmnebrinkCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, SE-391 82 Kalmar, Sweden.ORCID 0000-0002-2747-6346
Cheng Choo LeeUmeå Centre for Electron Microscopy, Department of Chemistry, Umeå University, SE-901 87 Umeå, Sweden.ORCID 0000-0002-5773-2793
Sun Nyunt WaiDepartment of Molecular Biology, Umeå University, SE-901 87 Umeå, Sweden.ORCID 0000-0003-4793-4671
Linda SandbladUmeå Centre for Electron Microscopy, Department of Chemistry, Umeå University, SE-901 87 Umeå, Sweden.ORCID 0000-0003-3492-3287
Jarone PinhassiCentre for Ecology and Evolution in Microbial Model Systems - EEMiS, Linnaeus University, SE-391 82 Kalmar, Sweden.ORCID 0000-0002-6405-1347
Johan WiknerDepartment of Ecology and Environmental Science, Umeå University, SE-901 87 Umeå, Sweden.ORCID 0000-0001-6061-8257

Funding

Emory University 731 065Kempe Foundation SMK-185
6 · The paper itself

Abstract

Prokaryotic maintenance respiration and associated metabolic activities constitute a considerable proportion of the total respiration of carbon to CO2 in the ocean's mixed layer. However, seasonal influences on prokaryotic maintenance activities in terms of morphological and metabolic adaptations at low (winter) and high productivity (summer) are still unclear. To address this, we examined the natural prokaryotic communities at the mesocosm scale to analyse the differences in their morphological features and gene expression at low and high maintenance respiration, experimentally manipulated with the specific growth rate. Here, we showed that morphological features including membrane blebbing, membrane vesicles, and cell‒cell connections occurred under high productivity. Metabolic adaptations associated with maintenance activities were observed under low productivity. Several Kyoto Encyclopedia of Genes and Genomes categories related to signal transduction, energy metabolism, and translational machinery supported maintenance activities under simulated winter conditions. Differential abundances of genes related to transporters, osmoregulation, nitrogen metabolism, ribosome biogenesis, and cold stress were observed. Our results demonstrate how specific growth rate in different seasons can influence resource allocation at the levels of morphological features and metabolic adaptations. This motivates further study of morphological features and their ecological role during high productivity, while investigations of metabolic adaptations during low productivity can advance our knowledge about maintenance activities.

Indexed as

BacteriaSeasonsAdaptation, PhysiologicalEnergy MetabolismSeawatercell shapemaintenance activitiesmesocosmmorphologyprokaryotesrespiration

Identifiers

PMID39264060
PMCPMC11556340

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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.