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Transcriptome analysis of genes involved in anthocyanins biosynthesis and transport in berries of black and white spine grapes (Vitis davidii)

Overview of attention for article published in Hereditas, December 2016
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Title
Transcriptome analysis of genes involved in anthocyanins biosynthesis and transport in berries of black and white spine grapes (Vitis davidii)
Published in
Hereditas, December 2016
DOI 10.1186/s41065-016-0021-1
Pubmed ID
Authors

Lei Sun, Xiucai Fan, Ying Zhang, Jianfu Jiang, Haisheng Sun, Chonghuai Liu

Abstract

The color of berry skin is an important economic trait for grape and is essentially determined by the components and content of anthocyanins. The fruit color of Chinese wild grapes is generally black, and the profile of anthocyanins in Chinese wild grapes is significantly different from that of Vitis vinifera. However, V. davidii is the only species that possesses white berry varieties among Chinese wild grape species. Thus, we performed a transcriptomic analysis to compare the difference of transcriptional level in black and white V. davidii, in order to find some key genes that are related to anthocyanins accumulation in V. davidii. The results of anthocyanins detection revealed that 3,5-O-diglucoside anthocyanins is the predominant anthocyanins in V. davidii. It showed obvious differences from V. vinifera in the profile of the composition of anthocyanins. The transcriptome sequencing by Illumina mRNA-Seq technology generated an average of 57 million 100-base pair clean reads from each sample. Differential gene expression analysis revealed thousands of differential expression genes (DEGs) in the pairwise comparison of different fruit developmental stages between and within black and white V. davidii. After the analysis of functional category enrichment and differential expression patterns of DEGs, 46 genes were selected as the candidate genes. Some genes have been reported as being related to anthocyanins accumulation, and some genes were newly found in our study as probably being related to anthocyanins accumulation. We inferred that 3AT (VIT_03s0017g00870) played an important role in anthocyanin acylation, GST4 (VIT_04s0079g00690) and AM2 (VIT_16s0050g00910) played important roles in anthocyanins transport in V. davidii. The expression of some selected DEGs was further confirmed by quantitative real-time PCR (qRT-PCR). The present study investigated the transcriptomic profiles of berry skin from black and white spine grapes at three fruit developmental stages by Illumina mRNA-Seq technology. It revealed the variety specificity of anthocyanins accumulation in V. davidi at the transcriptional level. The data reported here will provide a valuable resource for understanding anthocyanins accumulation in grapes, especially in V. davidii.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 30%
Student > Master 5 13%
Student > Doctoral Student 3 8%
Researcher 3 8%
Student > Postgraduate 2 5%
Other 4 10%
Unknown 11 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 38%
Biochemistry, Genetics and Molecular Biology 7 18%
Medicine and Dentistry 2 5%
Computer Science 1 3%
Environmental Science 1 3%
Other 2 5%
Unknown 12 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 January 2017.
All research outputs
#14,915,133
of 25,374,647 outputs
Outputs from Hereditas
#335
of 513 outputs
Outputs of similar age
#219,230
of 420,175 outputs
Outputs of similar age from Hereditas
#1
of 6 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 513 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 33rd percentile – i.e., 33% 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 420,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them