Evidence map›Paper›PMID 27801295›Full record

ArticleBMC genomics2016

Secondary metabolite gene clusters in the entomopathogen fungus Metarhizium anisopliae: genome identification and patterns of expression in a cuticle infection model.

Nicolau Sbaraini, Rafael Lucas Muniz Guedes, Fábio Carrer Andreis, Ângela Junges, Guilherme Loss de Morais, Marilene Henning Vainstein, Ana Tereza Ribeiro de Vasconcelos, Augusto Schrank

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Effect ofHeliyon · 2023
    Article
  7. Blastospores fromMicroorganisms · 2023
    Article
  8. Article
  9. Host-Pathogen Interactions betweenJournal of fungi (Basel, Switzerland) · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Biological Control of Tomato Gray Mold Caused byPathogens (Basel, Switzerland) · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Nicolau SbarainiRede Avançada em Biologia Computacional, RABICÓ, Petrópolis, RJ, Brazil.
Rafael Lucas Muniz GuedesRede Avançada em Biologia Computacional, RABICÓ, Petrópolis, RJ, Brazil.
Fábio Carrer AndreisRede Avançada em Biologia Computacional, RABICÓ, Petrópolis, RJ, Brazil.
Ângela JungesRede Avançada em Biologia Computacional, RABICÓ, Petrópolis, RJ, Brazil.
Guilherme Loss de MoraisRede Avançada em Biologia Computacional, RABICÓ, Petrópolis, RJ, Brazil.
Marilene Henning VainsteinRede Avançada em Biologia Computacional, RABICÓ, Petrópolis, RJ, Brazil.
Ana Tereza Ribeiro de VasconcelosRede Avançada em Biologia Computacional, RABICÓ, Petrópolis, RJ, Brazil.
Augusto SchrankRede Avançada em Biologia Computacional, RABICÓ, Petrópolis, RJ, Brazil. aschrank@cbiot.ufrgs.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe described species from the Metarhizium genus are cosmopolitan fungi that infect arthropod hosts. Interestingly, while some species infect a wide range of hosts (host-generalists), other species infect only a few arthropods (host-specialists). This singular evolutionary trait permits unique comparisons to determine how pathogens and virulence determinants emerge. Among the several virulence determinants that have been described, secondary metabolites (SMs) are suggested to play essential roles during fungal infection. Despite progress in the study of pathogen-host relationships, the majority of genes related to SM production in Metarhizium spp. are uncharacterized, and little is known about their genomic organization, expression and regulation. To better understand how infection conditions may affect SM production in Metarhizium anisopliae, we have performed a deep survey and description of SM biosynthetic gene clusters (BGCs) in M. anisopliae, analyzed RNA-seq data from fungi grown on cattle-tick cuticles, evaluated the differential expression of BGCs, and assessed conservation among the Metarhizium genus. Furthermore, our analysis extended to the construction of a phylogeny for the following three BGCs: a tropolone/citrinin-related compound (MaPKS1), a pseurotin-related compound (MaNRPS-PKS2), and a putative helvolic acid (MaTERP1).

resultsAmong 73 BGCs identified in M. anisopliae, 20 % were up-regulated during initial tick cuticle infection and presumably possess virulence-related roles. These up-regulated BGCs include known clusters, such as destruxin, NG39x and ferricrocin, together with putative helvolic acid and, pseurotin and tropolone/citrinin-related compound clusters as well as uncharacterized clusters. Furthermore, several previously characterized and putative BGCs were silent or down-regulated in initial infection conditions, indicating minor participation over the course of infection. Interestingly, several up-regulated BGCs were not conserved in host-specialist species from the Metarhizium genus, indicating differences in the metabolic strategies employed by generalist and specialist species to overcome and kill their host. These differences in metabolic potential may have been partially shaped by horizontal gene transfer (HGT) events, as our phylogenetic analysis provided evidence that the putative helvolic acid cluster in Metarhizium spp. originated from an HGT event.

conclusionsSeveral unknown BGCs are described, and aspects of their organization, regulation and origin are discussed, providing further support for the impact of SM on the Metarhizium genus lifestyle and infection process.

Indexed as

Genome, FungalGenomicsTranscriptomeAnimalsEvolution, MolecularGene Expression ProfilingGene Expression RegulationGene OrderHost-Pathogen InteractionsMetarhiziumPhylogenyQuantitative Trait, HeritableSecondary MetabolismTicksBiological controlCattle tickInfection processMetarhizium sppSecondary metabolite biosynthetic gene clustersTranscriptome analysis

Identifiers

PMID27801295
PMCPMC5088523

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.