Evidence map›Paper›PMID 33348904›Full record

ReviewLife (Basel, Switzerland)2020

An Overview of Genomics, Phylogenomics and Proteomics Approaches in Ascomycota.

Lucia Muggia, Claudio G Ametrano, Katja Sterflinger, Donatella Tesei

Open access · goldAbstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

15 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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  11. OMICS and Other Advanced Technologies in Mycological Applications.Journal of fungi (Basel, Switzerland) · 2023
    Review
  12. Article
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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

4 authors at 4 institutions in 3 countries.

Lucia MuggiaDepartment of Life Sciences, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0003-0390-6169
Claudio G AmetranoGrainger Bioinformatics Center, Department of Science and Education, Chicago, IL 60605, USA.
Katja SterflingerAcademy of Fine Arts Vienna, Institute of Natual Sciences and Technology in the Arts, A-1090 Vienna, Austria.
Donatella TeseiDepartment of Biotechnology, University of Natural Resources and Life Sciences, 1190 Vienna, Austria.ORCID 0000-0002-3247-066X
Akademie der bildenden Künste Wien · ATBOKU University · ATField Museum of Natural History · USUniversity of Trieste · IT

Funding

Austrian Science Fund FWF T 872
6 · The paper itself

Abstract

Fungi are among the most successful eukaryotes on Earth: they have evolved strategies to survive in the most diverse environments and stressful conditions and have been selected and exploited for multiple aims by humans. The characteristic features intrinsic of Fungi have required evolutionary changes and adaptations at deep molecular levels. Omics approaches, nowadays including genomics, metagenomics, phylogenomics, transcriptomics, metabolomics, and proteomics have enormously advanced the way to understand fungal diversity at diverse taxonomic levels, under changeable conditions and in still under-investigated environments. These approaches can be applied both on environmental communities and on individual organisms, either in nature or in axenic culture and have led the traditional morphology-based fungal systematic to increasingly implement molecular-based approaches. The advent of next-generation sequencing technologies was key to boost advances in fungal genomics and proteomics research. Much effort has also been directed towards the development of methodologies for optimal genomic DNA and protein extraction and separation. To date, the amount of proteomics investigations in Ascomycetes exceeds those carried out in any other fungal group. This is primarily due to the preponderance of their involvement in plant and animal diseases and multiple industrial applications, and therefore the need to understand the biological basis of the infectious process to develop mechanisms for biologic control, as well as to detect key proteins with roles in stress survival. Here we chose to present an overview as much comprehensive as possible of the major advances, mainly of the past decade, in the fields of genomics (including phylogenomics) and proteomics of Ascomycota, focusing particularly on those reporting on opportunistic pathogenic, extremophilic, polyextremotolerant and lichenized fungi. We also present a review of the mostly used genome sequencing technologies and methods for DNA sequence and protein analyses applied so far for fungi.

Indexed as

extremophilesfungihuman opportunisticlichensplant pathogens

Identifiers

PMID33348904
PMCPMC7765829
OpenAlexW3112304495

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.