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In silico hybridization enables transcriptomic illumination of the nature and evolution of Myxozoa

Overview of attention for article published in BMC Genomics, October 2015
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 YouTube creator

Citations

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23 Dimensions

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46 Mendeley
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1 CiteULike
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Title
In silico hybridization enables transcriptomic illumination of the nature and evolution of Myxozoa
Published in
BMC Genomics, October 2015
DOI 10.1186/s12864-015-2039-6
Pubmed ID
Authors

Jonathan Foox, Maurice Ringuette, Sherwin S. Desser, Mark E. Siddall

Abstract

The Myxozoa, a group of oligocellular, obligate endoparasites, has long been poorly understood in an evolutionary context. Recent genome-level sequencing techniques such as RNA-seq have generated large amounts of myxozoan sequence data, providing valuable insight into their evolutionary history. However, sequences from host tissue contamination are present in next-generation sequencing reactions of myxozoan tissue, and differentiating between the two has been inadequately addressed. In order to shed light on the genetic underpinnings of myxozoan biology, assembled contigs generated from these studies that derived from the myxozoan must be decoupled from transcripts derived from host tissue and other contamination. This study describes a pipeline for categorization of transcripts asmyxozoan based on similarity searching with known host and parasite sequences, explores the extent to which host contamination is present in previously existing myxozoan datasets, and implements this pipeline on a newly sequenced transcriptome of Myxobolus pendula, a parasite of the common creek chub gill arch. The insilico hybridization pipeline uses iterative BLAST searching and database-driven e-value comparison to categorize transcripts as deriving from host, parasite, or other contamination. Functional genetic analysis of M. pendula was conducted using further BLAST searching, Hidden Markov Modeling, and sequence alignment and phylogenetic reconstruction. Three RNA libraries of encysted M. pendula plasmodia were sequenced and subjected to the method. Nearly half of the final set of contiguous assembly sequences (47.3 %) was identified as putative myxozoan transcripts. Putative contamination was also identified in at least 1/3(rd) of previously published myxozoan transcripts. The set of M. pendula transcripts was mined for a range of biologically insightful genes, including taxonomically restricted nematocyst structural proteins and nematocyst proteins identified through mass tandem spectrometry of other cnidarians. Several novel findings emerged, including a fourth myxozoan minicollagen gene, putative myxozoan toxin proteins,and extracellular matrix glycoproteins. This study serves as a model for the handling of next-generation myxozoan sequence. The need for careful categorization was demonstrated in both previous and new sets of myxozoan sequences. The final set of confidently assigned myxozoan transcripts can be mined for any biologically relevant gene or gene family without spurious misidentification of host contamination as a myxozoan homolog. As exemplified by M. pendula, the repertoire of myxozoan polar capsules may be more complex than previously thought, with an additional minicollagen homolog and putative expression of toxin proteins.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Brazil 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 24%
Researcher 10 22%
Student > Master 6 13%
Student > Ph. D. Student 4 9%
Student > Postgraduate 3 7%
Other 4 9%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 46%
Biochemistry, Genetics and Molecular Biology 9 20%
Environmental Science 2 4%
Engineering 2 4%
Mathematics 1 2%
Other 3 7%
Unknown 8 17%
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 14 January 2022.
All research outputs
#6,978,383
of 25,517,918 outputs
Outputs from BMC Genomics
#2,743
of 11,274 outputs
Outputs of similar age
#79,751
of 295,178 outputs
Outputs of similar age from BMC Genomics
#76
of 354 outputs
Altmetric has tracked 25,517,918 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,274 research outputs from this source. They receive a mean Attention Score of 4.8. 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 295,178 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 72% of its contemporaries.
We're also able to compare this research output to 354 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.