↓ Skip to main content

Comparative RNA-Seq profiling of berry development between table grape ‘Kyoho’ and its early-ripening mutant ’Fengzao’

Overview of attention for article published in BMC Genomics, October 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
45 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Comparative RNA-Seq profiling of berry development between table grape ‘Kyoho’ and its early-ripening mutant ’Fengzao’
Published in
BMC Genomics, October 2016
DOI 10.1186/s12864-016-3051-1
Pubmed ID
Authors

Da-Long Guo, Fei-Fei Xi, Yi-He Yu, Xiao-Yu Zhang, Guo-Hai Zhang, Gan-Yuan Zhong

Abstract

Early ripening is an important desirable attribute for fruit crops. 'Kyoho' is a popular table grape cultivar in many Asian countries. 'Fengzao' is a bud mutant of 'Kyoho' and ripens nearly 30 days earlier than 'Kyoho'. To identify genes controlling early fruit development and ripening in 'Fengzao', RNA-Seq profiles of the two cultivars were compared at 8 different berry developmental stages in both berry peel and flesh tissues. RNA-Seq profiling of berry development between 'Kyoho' and 'Fenzhao' were obtained using the Illumina HiSeq system and analyzed using various statistical methods. Expression patterns of several selected genes were validated using qRT-PCR. About 447 millions of RNA-Seq sequences were generated from 40 RNA libraries covering various different berry developmental stages of 'Fengzao' and 'Kyoho'. These sequences were mapped to 23,178 and 22,982 genes in the flesh and peel tissues, respectively. While most genes in 'Fengzao' and 'Kyoho' shared similar expression patterns over different berry developmental stages, there were many genes whose expression were detected only in 'Fengzao' or 'Kyoho'. We observed 10 genes in flesh tissue and 22 genes in peel tissue were differentially expressed at FDR ≤ 0.05 when the mean expression of 'Fengzao' and 'Kyoho' were compared. The most noticeable one was VIT_214s0030g00950 (a superoxide dismutase gene). This ROS related gene showed lower expression levels in 'Fengzao' than 'Kyoho' in both peel and flesh tissues across various berry developmental stages with the only exception at véraison. VIT_200s0238g00060 (TMV resistance protein n-like) and VIT_213s0067g01100 (disease resistance protein at3g14460-like) were the two other noticeable genes which were found differentially expressed between the two cultivars in both peel and flesh tissues. GO functional category and KEGG enrichment analysis of DEGs indicated that gene activities related to stress and ROS were altered between the two cultivars in both flesh and peel tissues. Several differentially expressed genes of interest were successfully validated using qRT-PCR. Comparative profiling analysis revealed a few dozens of genes which were differentially expressed in the developing berries of 'Kyoho' and its early ripening mutant 'Fengzao'. Further analysis of these differentially expressed genes suggested that gene activities related to ROS and pathogenesis were likely involved in contributing to the early ripening in 'Fengzao'.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 31%
Student > Master 4 9%
Professor 3 7%
Student > Bachelor 3 7%
Professor > Associate Professor 3 7%
Other 8 18%
Unknown 10 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 58%
Biochemistry, Genetics and Molecular Biology 3 7%
Arts and Humanities 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Computer Science 1 2%
Other 2 4%
Unknown 11 24%
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 14 October 2016.
All research outputs
#20,346,264
of 22,893,031 outputs
Outputs from BMC Genomics
#9,295
of 10,670 outputs
Outputs of similar age
#276,843
of 319,855 outputs
Outputs of similar age from BMC Genomics
#199
of 247 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,670 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 319,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.