Evidence map›Paper›PMID 29951114›Full record

ArticleBiotechnology for biofuels2018

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

Chunman Zuo, Matthew Blow, Avinash Sreedasyam, Rita C Kuo, Govindarajan Kunde Ramamoorthy, Ivone Torres-Jerez, Guifen Li, Mei Wang, David Dilworth, Kerrie Barry and 4 more

Abstract read
In one paragraph

Article in Biotechnology for biofuels, 2018. 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.

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  11. Unveiling the Complexity of Red Clover (International journal of molecular sciences · 2021
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  15. Single-Molecule Long-Read Sequencing of Purslane (Plants (Basel, Switzerland) · 2021
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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

14 authors.

Chunman Zuo1College of Computer Science and Technology, Jilin University, Changchun, China.
Matthew Blow4Department of Energy Joint Genome Institute, Walnut Creek, CA USA.
Avinash Sreedasyam5HudsonAlpha Institute for Biotechnology, Huntsville, AL USA.
Rita C Kuo4Department of Energy Joint Genome Institute, Walnut Creek, CA USA.
Govindarajan Kunde Ramamoorthy4Department of Energy Joint Genome Institute, Walnut Creek, CA USA.
Ivone Torres-Jerez6Noble Research Institute, LLC, Ardmore, OK USA.
Guifen Li6Noble Research Institute, LLC, Ardmore, OK USA.
Mei Wang4Department of Energy Joint Genome Institute, Walnut Creek, CA USA.
David Dilworth4Department of Energy Joint Genome Institute, Walnut Creek, CA USA.
Kerrie Barry4Department of Energy Joint Genome Institute, Walnut Creek, CA USA.
Michael Udvardi6Noble Research Institute, LLC, Ardmore, OK USA.
Jeremy Schmutz4Department of Energy Joint Genome Institute, Walnut Creek, CA USA.
Yuhong Tang3BESC BioEnergy Research Center, Oak Ridge National Lab, Oak Ridge, TN USA.
Ying Xu1College of Computer Science and Technology, Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSwitchgrass (

resultsWe 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.

conclusionsOverall, substantial amount of new information is derived from the PacBio RNA data regarding both the transcriptome and the genome of switchgrass.

Indexed as

Alternative splicingPacBio sequencingPlant cell wallSwitchgrassTranscriptomic analysis

Identifiers

PMID29951114
PMCPMC6009963

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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.