Evidence map›Paper›PMID 32580753›Full record

ArticleBMC genomics2020

Genomic and transcriptomic survey of an endophytic fungus Calcarisporium arbuscula NRRL 3705 and potential overview of its secondary metabolites.

Jin-Tao Cheng, Fei Cao, Xin-Ai Chen, Yong-Quan Li, Xu-Ming Mao

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.2field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. How genomics can help unravel the evolution of endophytic fungi.World journal of microbiology & biotechnology · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Incorporating omics-based tools into endophytic fungal research.Biotechnology notes (Amsterdam, Netherlands) · 2024
    Review
  9. Review
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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 at 3 institutions in 1 country.

Jin-Tao ChengInstitute of Pharmaceutical Biotechnology, School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Fei CaoInstitute of Pharmaceutical Biotechnology, School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Xin-Ai ChenInstitute of Pharmaceutical Biotechnology, School of Medicine, Zhejiang University, Hangzhou, 310058, China.
Yong-Quan LiInstitute of Pharmaceutical Biotechnology, School of Medicine, Zhejiang University, Hangzhou, 310058, China. lyq@zju.edu.cn.
Xu-Ming MaoInstitute of Pharmaceutical Biotechnology, School of Medicine, Zhejiang University, Hangzhou, 310058, China. xmmao@zju.edu.cn.ORCID http://orcid.org/0000-0003-0669-7630
Zhejiang University · CNZhejiang Lab · CNZhejiang Provincial Institute of Communications Planning,Design & Research · CN

Funding

Key Technologies Research and Development Program (CN) 2018YFA0903202National Natural Science Foundation of China (31770071). 31770071
6 · The paper itself

Abstract

backgroundSecondary metabolites as natural products from endophytic fungi are important sources of pharmaceuticals. However, there is currently little understanding of endophytic fungi at the omics levels about their potential in secondary metabolites. Calcarisporium arbuscula, an endophytic fungus from the fruit bodies of Russulaceae, produces a variety of secondary metabolites with anti-cancer, anti-nematode and antibiotic activities. A comprehensive survey of the genome and transcriptome of this endophytic fungus will help to understand its capacity to biosynthesize secondary metabolites and will lay the foundation for the development of this precious resource.

resultsIn this study, we reported the high-quality genome sequence of C. arbuscula NRRL 3705 based on Single Molecule Real-Time sequencing technology. The genome of this fungus is over 45 Mb in size, larger than other typical filamentous fungi, and comprises 10,001 predicted genes, encoding at least 762 secretory-proteins, 386 carbohydrate-active enzymes and 177 P450 enzymes. 398 virulence factors and 228 genes related to pathogen-host interactions were also predicted in this fungus. Moreover, 65 secondary metabolite biosynthetic gene clusters were revealed, including the gene cluster for the mycotoxin aurovertins. In addition, several gene clusters were predicted to produce mycotoxins, including aflatoxin, alternariol, destruxin, citrinin and isoflavipucine. Notably, two independent gene clusters were shown that are potentially involved in the biosynthesis of alternariol. Furthermore, RNA-Seq assays showed that only expression of the aurovertin gene cluster is much stronger than expression of the housekeeping genes under laboratory conditions, consistent with the observation that aurovertins are the predominant metabolites. Gene expression of the remaining 64 gene clusters for compound backbone biosynthesis was all lower than expression of the housekeeping genes, which partially explained poor production of other secondary metabolites in this fungus.

conclusionsOur omics data, along with bioinformatics analysis, indicated that C. arbuscula NRRL 3705 contains a large number of biosynthetic gene clusters and has a huge potential to produce a profound number of secondary metabolites. This work also provides the basis for development of endophytic fungi as a new resource of natural products with promising biological activities.

Indexed as

Biosynthetic PathwaysFungal ProteinsGene Expression ProfilingGene Expression Regulation, FungalGenome SizeGenomicsHigh-Throughput Nucleotide SequencingHypocrealesPhylogenySecondary MetabolismSequence Analysis, RNASingle Molecule ImagingWhole Genome SequencingFungal ProteinsCalcarisporium arbusculaEndophytic fungusGenomeSecondary metaboliteTranscriptome

Identifiers

PMID32580753
PMCPMC7315530
OpenAlexW3037805877

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Registered trials

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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.