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Transcriptomic analysis between self- and cross-pollinated pistils of tea plants (Camellia sinensis)

Overview of attention for article published in BMC Genomics, April 2018
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3 tweeters

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26 Mendeley
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Title
Transcriptomic analysis between self- and cross-pollinated pistils of tea plants (Camellia sinensis)
Published in
BMC Genomics, April 2018
DOI 10.1186/s12864-018-4674-1
Pubmed ID
Authors

Qingping Ma, Changsong Chen, Zhongping Zeng, Zhongwei Zou, Huan Li, Qiongqiong Zhou, Xuan Chen, Kang Sun, Xinghui Li

Abstract

Self-incompatibility (SI) is a major barrier that obstructs the breeding process in most horticultural plants including tea plants (Camellia sinensis). The aim of this study was to elucidate the molecular mechanism of SI in tea plants through a high throughput transcriptome analysis. In this study, the transcriptomes of self- and cross-pollinated pistils of two tea cultivars 'Fudingdabai' and 'Yulv' were compared to elucidate the SI mechanism of tea plants. In addition, the ion components and pollen tube growth in self- and cross-pollinated pistils were investigated. Our results revealed that both cultivars had similar pollen activities and cross-pollination could promote the pollen tube growth. In tea pistils, the highest ion content was potassium (K+), followed by calcium (Ca2+), magnesium (Mg2+) and phosphorus (P5+). Ca2+ content increased after self-pollination but decreased after cross-pollination, while K+ showed reverse trend with Ca2+. A total of 990 and 3 common differentially expressed genes (DEGs) were identified in un-pollinated vs. pollinated pistils and self- vs. cross-pollinated groups after 48 h, respectively. Function annotation indicated that three genes encoding UDP-glycosyltransferase 74B1 (UGT74B1), Mitochondrial calcium uniporter protein 2 (MCU2) and G-type lectin S-receptor-like serine/threonine-protein kinase (G-type RLK) might play important roles during SI process in tea plants. Ca2+ and K+ are important signal for SI in tea plants, and three genes including UGT74B1, MCU2 and G-type RLK play essential roles during SI signal transduction.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Student > Bachelor 3 12%
Researcher 3 12%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 65%
Biochemistry, Genetics and Molecular Biology 4 15%
Unknown 5 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2018.
All research outputs
#7,767,179
of 12,881,446 outputs
Outputs from BMC Genomics
#4,383
of 7,563 outputs
Outputs of similar age
#151,120
of 270,017 outputs
Outputs of similar age from BMC Genomics
#9
of 21 outputs
Altmetric has tracked 12,881,446 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,563 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 37th percentile – i.e., 37% 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 270,017 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 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 57% of its contemporaries.