Evidence map›Paper›PMID 33187080›Full record

ReviewInternational journal of molecular sciences2020

Soil Metaproteomics for the Study of the Relationships Between Microorganisms and Plants: A Review of Extraction Protocols and Ecological Insights.

Maria Tartaglia, Felipe Bastida, Rosaria Sciarrillo, Carmine Guarino

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Extraction of Proteins from Fermented Food.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Article
  7. Extraction of Proteins from Soil.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Plant Proteomic Research 3.0: Challenges and Perspectives.International journal of molecular sciences · 2021
    Article
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

4 authors.

Maria TartagliaDepartment of Science and Technology, University of Sannio, via de Sanctis snc, 82100 Benevento, Italy.
Felipe BastidaCEBAS-CSIC, Department of Soil and Water Conservation, Campus Universitario de Espinardo, 30100 Murcia, Spain.
Rosaria SciarrilloDepartment of Science and Technology, University of Sannio, via de Sanctis snc, 82100 Benevento, Italy.ORCID 0000-0002-8844-3281
Carmine GuarinoDepartment of Science and Technology, University of Sannio, via de Sanctis snc, 82100 Benevento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil is a complex matrix where biotic and abiotic components establish a still unclear network involving bacteria, fungi, archaea, protists, protozoa, and roots that are in constant communication with each other. Understanding these interactions has recently focused on metagenomics, metatranscriptomics and less on metaproteomics studies. Metaproteomic allows total extraction of intracellular and extracellular proteins from soil samples, providing a complete picture of the physiological and functional state of the "soil community". The advancement of high-performance mass spectrometry technologies was more rapid than the development of ad hoc extraction techniques for soil proteins. The protein extraction from environmental samples is biased due to interfering substances and the lower amount of proteins in comparison to cell cultures. Soil sample preparation and extraction methodology are crucial steps to obtain high-quality resolution and yields of proteins. This review focuses on the several soil protein extraction protocols to date to highlight the methodological challenges and critical issues for the application of proteomics to soil samples. This review concludes that improvements in soil protein extraction, together with the employment of ad hoc metagenome database, may enhance the identification of proteins with low abundance or from non-dominant populations and increase our capacity to predict functional changes in soil.

Indexed as

BacteriaMetagenomicsPlantsProteomeProteomicsSoilSoil MicrobiologyProteomeSoilpolluted soilprotein extractionrhizosphere crosstalksoil metaproteomics

Identifiers

PMID33187080
PMCPMC7697097

What OpenQuestion holds

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Registered trials

None linked

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.