Evidence map›Paper›PMID 18183501›Full record

ArticleMolecular biotechnology2008

Agrobacterium-mediated transformation and insertional mutagenesis in Colletotrichum acutatum for investigating varied pathogenicity lifestyles.

Pedro Talhinhas, S Muthumeenakshi, João Neves-Martins, Helena Oliveira, S Sreenivasaprasad

Abstract read
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Article in Molecular biotechnology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Morphological, Pathological and Genetic Diversity of theJournal of fungi (Basel, Switzerland) · 2022
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  6. Generation ofMicroorganisms · 2019
    Article
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  9. Frontiers in microbiology · 2017
    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

5 authors.

Pedro TalhinhasInstituto Superior de Agronomia-Technical University of Lisbon, Tapada da Ajuda, Lisboa, 1349-017, Portugal. ptalhinhas@isa.utl.pt
S Muthumeenakshi
João Neves-Martins
Helena Oliveira
S Sreenivasaprasad

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Colletotrichum acutatum is a cosmopolitan pathogen causing economically important diseases known as anthracnose on a wide range of hosts. This fungus exhibits varied pathogenicity lifestyles and the tools essential to understand the molecular mechanisms are still being developed. The transformation methods currently available for this species for gene discovery and functional analysis involve protoplast transformation and are laborious and inefficient. We have developed a protocol for efficient Agrobacterium tumefaciens-mediated transformation (ATMT) of C. acutatum. Using this protocol we were able to transform C. acutatum isolates belonging to different genetic groups and originating from different hosts. The transformation efficiency was up to 156 transformants per 10(4) conidia, with >70% transformants showing single location/single copy integration of T-DNA. Binary vector pBHt2-GFP was constructed, enabling green fluorescence protein tagging of C. acutatum strains, which will be a useful tool for epidemiology and histopathology studies. The ATMT protocol developed was used to identify putative pathogenicity mutants, suggesting the applicability of this technique for rapid generation of a large panel of insertional mutants of C. acutatum leading to the identification of the genes associated with the varied lifestyles.

Indexed as

Mutagenesis, InsertionalTransformation, GeneticBlotting, SouthernCell ProliferationCinnamatesColletotrichumDNA, BacterialHygromycin BHyphaeMicrobial Sensitivity TestsPhenotypePlasmidsRhizobiumCinnamatesDNA, Bacterialhygromycin AHygromycin BT-DNA

Identifiers

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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.