Evidence map›Paper›PMID 24058171›Full record

ArticleEukaryotic cell2013

Bidirectional-genetics platform, a dual-purpose mutagenesis strategy for filamentous fungi.

Jaejin Park, Yong-Hwan Lee

Open access · diamondAbstract read
In one paragraph

Article in Eukaryotic cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Jaejin ParkDepartment of Agricultural Biotechnology, Center for Fungal Genetic Resources, Center for Fungal Pathogenesis, Plant Genomics and Breeding Institute, and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, South Korea.
Yong-Hwan Lee
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapidly increasing fungal genome sequences call for efficient ways of generating mutants to translate quickly gene sequences into their functions. A reverse genetic strategy via targeted gene replacement (TGR) has been inefficient for many filamentous fungi due to dominant production of undesirable ectopic transformants. Although large-scale random insertional mutagenesis via transformation (i.e., forward genetics) facilitates high-throughput uncovering of novel genes of interest, generating a huge number of transformants, which is necessary to ensure the likelihood of mutagenizing most genes, is time-consuming. We propose a new strategy, entitled the Bidirectional-Genetics (BiG) platform, which combines both forward and reverse genetic strategies by recycling ectopic transformants derived from TGR as a source for random insertional mutants. The BiG platform was evaluated using the rice blast fungus Magnaporthe oryzae as a model. Over 10% of >1,000 M. oryzae ectopic transformants, generated during disruption of specific genes, displayed abnormality in vegetative growth, pigmentation, and/or asexual reproduction. In this pool of putative mutants, we isolated insertional mutants with mutations in three genes involved in histidine biosynthesis (MoHIS5), vegetative growth (MoVPS74), or conidiophore formation (MoFRQ) (where "Mo" indicates "M. oryzae"), supporting the utility of this platform for systematic gene function studies.

Indexed as

Genes, FungalGene TargetingHistidineMagnaportheMutagenesis, Site-DirectedReverse GeneticsHistidine

Identifiers

PMID24058171
PMCPMC3837931
OpenAlexW2167506188

What OpenQuestion holds

Textmetadata
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.