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Transcriptome analysis reveals the complexity of alternative splicing regulation in the fungus Verticillium dahliae

Overview of attention for article published in BMC Genomics, February 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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6 tweeters

Citations

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25 Dimensions

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45 Mendeley
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Title
Transcriptome analysis reveals the complexity of alternative splicing regulation in the fungus Verticillium dahliae
Published in
BMC Genomics, February 2017
DOI 10.1186/s12864-017-3507-y
Pubmed ID
Authors

Lirong Jin, Guanglin Li, Dazhao Yu, Wei Huang, Chao Cheng, Shengjie Liao, Qijia Wu, Yi Zhang

Abstract

Alternative splicing (AS) regulation is extensive and shapes the functional complexity of higher organisms. However, the contribution of alternative splicing to fungal biology is not well studied. This study provides sequences of the transcriptomes of the plant wilt pathogen Verticillium dahliae, using two different strains and multiple methods for cDNA library preparations. We identified alternatively spliced mRNA isoforms in over a half of the multi-exonic fungal genes. Over one-thousand isoforms involve TopHat novel splice junction; multiple types of combinatory alternative splicing patterns were identified. We showed that one Verticillium gene could use four different 5' splice sites and two different 3' donor sites to produce up to five mature mRNAs, representing one of the most sophisticated alternative splicing model in eukaryotes other than animals. Hundreds of novel intron types involving a pair of new splice sites were identified in the V. dahliae genome. All the types of AS events were validated by using RT-PCR. Functional enrichment analysis showed that AS genes are involved in most known biological functions and enriched in ATP biosynthesis, sexual/asexual reproduction, morphogenesis, signal transduction etc., predicting that the AS regulation modulates mRNA isoform output and shapes the V. dahliae proteome plasticity of the pathogen in response to the environmental and developmental changes. These findings demonstrate the comprehensive alternative splicing mechanisms in a fungal plant pathogen, which argues the importance of this fungus in developing complicate genome regulation strategies in eukaryotes.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 33%
Researcher 8 18%
Student > Doctoral Student 5 11%
Other 5 11%
Student > Master 3 7%
Other 6 13%
Unknown 3 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 38%
Biochemistry, Genetics and Molecular Biology 15 33%
Immunology and Microbiology 2 4%
Chemical Engineering 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 7%
Unknown 6 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 February 2017.
All research outputs
#2,291,701
of 9,116,047 outputs
Outputs from BMC Genomics
#1,784
of 6,296 outputs
Outputs of similar age
#101,635
of 312,251 outputs
Outputs of similar age from BMC Genomics
#57
of 164 outputs
Altmetric has tracked 9,116,047 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 6,296 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 71% 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 312,251 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.