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Revealing the transcriptomic complexity of switchgrass by PacBio long-read sequencing

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet
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9 X users

Citations

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32 Dimensions

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37 Mendeley
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Title
Revealing the transcriptomic complexity of switchgrass by PacBio long-read sequencing
Published in
Biotechnology for Biofuels and Bioproducts, June 2018
DOI 10.1186/s13068-018-1167-z
Pubmed ID
Authors

Chunman Zuo, Matthew Blow, Avinash Sreedasyam, Rita C. Kuo, Govindarajan Kunde Ramamoorthy, Ivone Torres-Jerez, Guifen Li, Mei Wang, David Dilworth, Kerrie Barry, Michael Udvardi, Jeremy Schmutz, Yuhong Tang, Ying Xu

Abstract

Switchgrass (Panicum virgatum L.) is an important bioenergy crop widely used for lignocellulosic research. While extensive transcriptomic analyses have been conducted on this species using short read-based sequencing techniques, very little has been reliably derived regarding alternatively spliced (AS) transcripts. We present an analysis of transcriptomes of six switchgrass tissue types pooled together, sequenced using Pacific Biosciences (PacBio) single-molecular long-read technology. Our analysis identified 105,419 unique transcripts covering 43,570 known genes and 8795 previously unknown genes. 45,168 are novel transcripts of known genes. A total of 60,096 AS transcripts are identified, 45,628 being novel. We have also predicted 1549 transcripts of genes involved in cell wall construction and remodeling, 639 being novel transcripts of known cell wall genes. Most of the predicted transcripts are validated against Illumina-based short reads. Specifically, 96% of the splice junction sites in all the unique transcripts are validated by at least five Illumina reads. Comparisons between genes derived from our identified transcripts and the current genome annotation revealed that among the gene set predicted by both analyses, 16,640 have different exon-intron structures. Overall, substantial amount of new information is derived from the PacBio RNA data regarding both the transcriptome and the genome of switchgrass.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Other 3 8%
Researcher 3 8%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Other 5 14%
Unknown 14 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 32%
Biochemistry, Genetics and Molecular Biology 6 16%
Environmental Science 1 3%
Mathematics 1 3%
Medicine and Dentistry 1 3%
Other 2 5%
Unknown 14 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 01 July 2019.
All research outputs
#2,576,500
of 25,385,509 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#113
of 1,578 outputs
Outputs of similar age
#51,503
of 341,526 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#7
of 47 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 92% 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 341,526 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 84% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.