Evidence map›Paper›PMID 18247030›Full record

ArticleCurrent genetics2008

Biochemical and molecular characterization of a putative endoglucanase in Magnaporthe grisea.

Jie Zhou, Xiang-zi Zheng, Lan Lan, Chen-zeng Lin, Yu-bing Wu, Xiong-jie Lin, Daniel Ebbole, Guo-dong Lu, Zong-hua Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Current genetics, 2008. 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
1.7field-weighted citation impact, top 13% 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, 8 citations in OpenAlex.

  1. Article
  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

9 authors at 2 institutions in 2 countries.

Jie ZhouThe Key Laboratory of Biopesticide and Chemistry Biology, Ministry of Education, Fujian Agriculture and Forestry University, 350002 Fuzhou, People's Republic of China.
Xiang-zi Zheng
Lan Lan
Chen-zeng Lin
Yu-bing Wu
Xiong-jie Lin
Daniel Ebbole
Guo-dong Lu
Zong-hua Wang
Fujian Agriculture and Forestry University · CNTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial pathogens secrete an array of cell wall-degrading enzymes to break down the structure of the host cell wall to facilitate colonization of the host tissue. To better understand their role in the pathogenesis, a putative endoglucanase from Magnaporthe grisea was characterized in this paper. SignalP-3.0 analysis indicates that the protein encoded by gene MGG_02532.5 in M. grisea (named MgEGL1 for M. grisea endoglucanase 1) contains a secretory signal peptide. Multiple alignment shows that MgEGL1 has high level of homology to endoglucanases (EC 3.1.1.4) from Aspergillus nidulans and Trichoderma reesei. The three proteins share a conserved catalytic domain, but only the one from T. reesei contains a cellulose binding module. MgEGL1 was constitutively expressed with the highest level in mycelia and the lowest in conidia. Interestingly, the MgEGL1 RNA could be alternatively processed when cultured in vitro and after infection of rice. Expression analysis confirmed that the MgEGL1 is a secreted protein. Its endoglucanase activity was assayed by Congo red plates, and further confirmed by the dinitrosalicylic acid method. The finding in this paper will provide the basis for further determination of the biochemical properties of the endoglucanase protein and its relevant function in fungal pathogenesis.

Indexed as

Amino Acid SequenceCellulaseGene Expression Regulation, EnzymologicGene Expression Regulation, FungalMagnaportheMolecular Sequence DataPhylogenySequence AlignmentCellulase

Identifiers

PMID18247030
OpenAlexW2029929931

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.