↓ Skip to main content

Whole genome annotation and comparative genomic analyses of bio-control fungus Purpureocillium lilacinum

Overview of attention for article published in BMC Genomics, November 2015
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
108 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Whole genome annotation and comparative genomic analyses of bio-control fungus Purpureocillium lilacinum
Published in
BMC Genomics, November 2015
DOI 10.1186/s12864-015-2229-2
Pubmed ID
Authors

Pushplata Prasad, Deepti Varshney, Alok Adholeya

Abstract

The fungus Purpureocillium lilacinum is widely known as a biological control agent against plant parasitic nematodes. This research article consists of genomic annotation of the first draft of whole genome sequence of P. lilacinum. The study aims to decipher the putative genetic components of the fungus involved in nematode pathogenesis by performing comparative genomic analysis with nine closely related fungal species in Hypocreales. de novo genomic assembly was done and a total of 301 scaffolds were constructed for P. lilacinum genomic DNA. By employing structural genome prediction models, 13, 266 genes coding for proteins were predicted in the genome. Approximately 73 % of the predicted genes were functionally annotated using Blastp, InterProScan and Gene Ontology. A 14.7 % fraction of the predicted genes shared significant homology with genes in the Pathogen Host Interactions (PHI) database. The phylogenomic analysis carried out using maximum likelihood RAxML algorithm provided insight into the evolutionary relationship of P. lilacinum. In congruence with other closely related species in the Hypocreales namely, Metarhizium spp., Pochonia chlamydosporia, Cordyceps militaris, Trichoderma reesei and Fusarium spp., P. lilacinum has large gene sets coding for G-protein coupled receptors (GPCRs), proteases, glycoside hydrolases and carbohydrate esterases that are required for degradation of nematode-egg shell components. Screening of the genome by Antibiotics & Secondary Metabolite Analysis Shell (AntiSMASH) pipeline indicated that the genome potentially codes for a variety of secondary metabolites, possibly required for adaptation to heterogeneous lifestyles reported for P. lilacinum. Significant up-regulation of subtilisin-like serine protease genes in presence of nematode eggs in quantitative real-time analyses suggested potential role of serine proteases in nematode pathogenesis. The data offer a better understanding of Purpureocillium lilacinum genome and will enhance our understanding on the molecular mechanism involved in nematophagy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Russia 1 <1%
Unknown 106 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 21%
Student > Master 19 18%
Student > Ph. D. Student 18 17%
Student > Bachelor 11 10%
Student > Postgraduate 6 6%
Other 17 16%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 44%
Biochemistry, Genetics and Molecular Biology 21 19%
Environmental Science 6 6%
Chemistry 3 3%
Nursing and Health Professions 2 2%
Other 8 7%
Unknown 21 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 July 2018.
All research outputs
#6,261,854
of 23,498,099 outputs
Outputs from BMC Genomics
#2,585
of 10,787 outputs
Outputs of similar age
#94,996
of 390,124 outputs
Outputs of similar age from BMC Genomics
#72
of 388 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 390,124 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 388 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.