Evidence map›Paper›PMID 39520575›Full record

ArticleArchives of microbiology2024

Exploring secretory signal sequences useful in excreting recombinant proteins in Beauveria bassiana as biocontrol fungus.

Kang Wei, Jin-Li Ding, Hang-Rong Xu, Ming-Guang Feng, Sheng-Hua Ying

Abstract read
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In one paragraph

Article in Archives of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Kang WeiInstitute of Microbiology, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Jin-Li DingInstitute of Microbiology, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Hang-Rong XuInstitute of Microbiology, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Ming-Guang FengInstitute of Microbiology, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Sheng-Hua YingInstitute of Microbiology, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China. yingsh@zju.edu.cn.ORCID http://orcid.org/0000-0002-2108-9353

Funding

National Natural Science Foundation of China 32170027Zhejiang Provincial Natural Science Foundation of China LZ24C140002
6 · The paper itself

Abstract

Entomopathogenic fungi excrete a group of proteins to assimilate nutrients and defeat the host immune defense. Functional secretory signal sequences are needed for efficient secretion of the virulence-related proteins in recombinant strain. In this study, secretome analysis was used to explore the secreted proteins of Beauveria bassiana. Enrichment analysis indicated that B. bassiana secretome was mainly associated with metabolism of glucoside, polysaccharide, extracellular ester compound, and so on. In addition, proteins associated with biogenesis of cellular components were also enriched, including those involved in biogenesis of cell wall and vacuole. Then, four secretory signal sequences were functionally verified with green fluorescent protein as reporter. Finally, a signal sequence was used to excrete three insect venom protein serpins in B. bassiana, in which over-expression of serpin 8 gene resulted in a significant increase in fungal virulence. This study highlights that functional secretory signal sequences are potential molecular elements useful in excretion of virulence-related proteins in insect pathogenic fungi.

Indexed as

BeauveriaFungal ProteinsProtein Sorting SignalsRecombinant ProteinsAnimalsSerpinsVirulenceFungal ProteinsProtein Sorting SignalsRecombinant ProteinsSerpinsInsect pathogenRecombinant strainSecretomeSerpin, secretory signal sequence

Identifiers

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.