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Transcriptome analysis of alternative splicing in peanut (Arachis hypogaea L.)

Overview of attention for article published in BMC Plant Biology, July 2018
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Title
Transcriptome analysis of alternative splicing in peanut (Arachis hypogaea L.)
Published in
BMC Plant Biology, July 2018
DOI 10.1186/s12870-018-1339-9
Pubmed ID
Authors

Jian Ruan, Feng Guo, Yingying Wang, Xinguo Li, Shubo Wan, Lei Shan, Zhenying Peng

Abstract

Alternative splicing (AS) represents a mechanism widely used by eukaryotes for the post-transcriptional regulation of genes. The detailed exploration of AS in peanut has not been documented. The strand-specific RNA-Seq technique was exploited to characterize the distribution of AS in the four samples of peanut (FH1-seed1, FH1-seed2, FH1-root and FH1-leaf). AS was detected as affecting around 37.2% of the full set of multi-exon genes. Some of these genes experienced AS throughout the plant, while in the case of others, the effect was organ-specific. Overall, AS was more frequent in the seed than in either the root or leaf. The predominant form of AS was intron retention, and AS in transcription start site and transcription terminal site were commonly identified in all the four samples. It is interesting that in genes affected by AS, the majority experienced only a single type of event. Not all of the in silico predicted transcripts appeared to be translated, implying that these are either degraded or sequestered away from the translation machinery. With respect to genes involved in fatty acid metabolism, about 61.6% were shown to experience AS. Our report contributes significantly in AS analysis of peanut genes in general, and these results have not been mentioned before. The specific functions of different AS forms need further investigation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 16%
Student > Doctoral Student 5 16%
Student > Ph. D. Student 5 16%
Researcher 3 10%
Student > Bachelor 2 6%
Other 2 6%
Unknown 9 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 32%
Unspecified 5 16%
Biochemistry, Genetics and Molecular Biology 1 3%
Computer Science 1 3%
Social Sciences 1 3%
Other 0 0%
Unknown 13 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 February 2019.
All research outputs
#17,982,872
of 23,094,276 outputs
Outputs from BMC Plant Biology
#1,905
of 3,287 outputs
Outputs of similar age
#237,075
of 328,026 outputs
Outputs of similar age from BMC Plant Biology
#32
of 61 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,287 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 328,026 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.