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Sequencing and characterization of leaf transcriptomes of six diploid Nicotiana species

Overview of attention for article published in Journal of Biological Research, April 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)

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3 X users
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1 Wikipedia page

Citations

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16 Dimensions

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37 Mendeley
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Title
Sequencing and characterization of leaf transcriptomes of six diploid Nicotiana species
Published in
Journal of Biological Research, April 2016
DOI 10.1186/s40709-016-0048-5
Pubmed ID
Authors

Ni Long, Xueliang Ren, Zhidan Xiang, Wenting Wan, Yang Dong

Abstract

Nicotiana belongs to the Solanaceae family that includes important crops such as tomato, potato, eggplant, and pepper. Nicotiana species are of worldwide economic importance and are important model plants for scientific research. Here we present the comparative analysis of the transcriptomes of six wild diploid Nicotiana species. Wild relatives provide an excellent study system for the analysis of the genetic basis for various traits, especially disease resistance. Whole transcriptome sequencing (RNA-seq) was performed for leaves of six diploid Nicotiana species, i.e. Nicotiana glauca, Nicotiana noctiflora, Nicotiana cordifolia, Nicotiana knightiana, Nicotiana setchellii and Nicotiana tomentosiformis. For each species, 9.0-22.3 Gb high-quality clean data were generated, and 67,073-182,046 transcripts were assembled with lengths greater than 100 bp. Over 90 % of the ORFs in each species had significant similarity with proteins in the NCBI non-redundant protein sequence (NR) database. A total of 2491 homologs were identified and used to construct a phylogenetic tree from the respective transcriptomes in Nicotiana. Bioinformatic analysis identified resistance gene analogs, major transcription factor families, and alkaloid transporter genes linked to plant defense. This is the first report on the leaf transcriptomes of six wild Nicotiana species by Illumina paired-end sequencing and de novo assembly without a reference genome. These sequence resources hopefully will provide an opportunity for identifying genes involved in plant defense and several important quality traits in wild Nicotiana and will accelerate functional genomic studies and genetic improvement efforts of Nicotiana or other important Solanaceae crops in the future.

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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 %
Researcher 8 22%
Student > Ph. D. Student 7 19%
Student > Master 7 19%
Professor 2 5%
Professor > Associate Professor 2 5%
Other 5 14%
Unknown 6 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 46%
Biochemistry, Genetics and Molecular Biology 8 22%
Social Sciences 2 5%
Computer Science 1 3%
Engineering 1 3%
Other 0 0%
Unknown 8 22%
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 09 November 2019.
All research outputs
#7,121,498
of 25,593,129 outputs
Outputs from Journal of Biological Research
#16
of 77 outputs
Outputs of similar age
#93,334
of 314,003 outputs
Outputs of similar age from Journal of Biological Research
#2
of 4 outputs
Altmetric has tracked 25,593,129 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 77 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 77% 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 314,003 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 69% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.