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Defined tetra-allelic gene disruption of the 4-coumarate:coenzyme A ligase 1 (Pv4CL1) gene by CRISPR/Cas9 in switchgrass results in lignin reduction and improved sugar release

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Defined tetra-allelic gene disruption of the 4-coumarate:coenzyme A ligase 1 (Pv4CL1) gene by CRISPR/Cas9 in switchgrass results in lignin reduction and improved sugar release
Published in
Biotechnology for Biofuels and Bioproducts, November 2017
DOI 10.1186/s13068-017-0972-0
Pubmed ID
Authors

Jong-Jin Park, Chang Geun Yoo, Amy Flanagan, Yunqiao Pu, Smriti Debnath, Yaxin Ge, Arthur J. Ragauskas, Zeng-Yu Wang

Abstract

The development of genome editing technologies offers new prospects in improving bioenergy crops like switchgrass (Panicum virgatum). Switchgrass is an outcrossing species with an allotetraploid genome (2n = 4x = 36), a complexity which forms an impediment to generating homozygous knock-out plants. Lignin, a major component of the plant cell wall and a contributor to cellulosic feedstock's recalcitrance to decomposition, stands as a barrier to efficient biofuel production by limiting enzyme access to cell wall polymers during the fermentation process. We developed a CRISPR/Cas9 genome editing system in switchgrass to target a key enzyme involved in the early steps of monolignol biosynthesis, 4-Coumarate:coenzyme A ligase (4CL). Three 4CL genes, Pv4CL1, Pv4CL2, and Pv4CL3, were identified in switchgrass. Expression analysis revealed that Pv4CL1 transcripts were more abundant in the stem than in the leaf, while Pv4CL2 transcripts were barely detectable and Pv4CL3 was mainly expressed in the leaf. Pv4CL1 was selected as the target for CRISPR/Cas9 editing because of its preferential expression in highly lignified stem tissues. Specific guide RNA was constructed to target Pv4CL1. After introducing the construct into switchgrass calli, 39 transgenic plants were regenerated. Using two rounds of PCR screening and sequencing, four plants were confirmed to have tetra-allelic mutations simultaneously. The Pv4CL1 knock-out plants had reduced cell wall thickness, an 8-30% reduction in total lignin content, a 7-11% increase in glucose release, and a 23-32% increase in xylose release. This study established a successful CRISPR/Cas9 system in switchgrass with mutation efficiency reaching 10%. The system allows the precise targeting of the selected Pv4CL1 gene to create switchgrass knock-out mutant plants with decreased lignin content and reduced recalcitrance.

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X Demographics

The data shown below were collected from the profiles of 11 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 69 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 28%
Researcher 13 19%
Student > Master 8 12%
Student > Bachelor 4 6%
Student > Doctoral Student 4 6%
Other 8 12%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 38%
Biochemistry, Genetics and Molecular Biology 18 26%
Computer Science 2 3%
Engineering 2 3%
Chemistry 2 3%
Other 1 1%
Unknown 18 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 December 2017.
All research outputs
#6,277,581
of 25,382,440 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#369
of 1,578 outputs
Outputs of similar age
#111,723
of 445,786 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#11
of 41 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 75th 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 well, scoring higher than 76% 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 445,786 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 74% of its contemporaries.
We're also able to compare this research output to 41 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 73% of its contemporaries.