↓ Skip to main content

Towards an improved apple reference transcriptome using RNA-seq

Overview of attention for article published in Molecular Genetics and Genomics, February 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
2 X users
googleplus
1 Google+ user

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
67 Mendeley
citeulike
1 CiteULike
Title
Towards an improved apple reference transcriptome using RNA-seq
Published in
Molecular Genetics and Genomics, February 2014
DOI 10.1007/s00438-014-0819-3
Pubmed ID
Authors

Yang Bai, Laura Dougherty, Kenong Xu

Abstract

The reference genome of apple (Malus × domestica) has been available since 2010. Despite being a milestone in apple genomics, the reference genome is difficult to be used as a reference in RNA-seq (RNA sequencing) analysis, a widespread technology in transcriptomic studies. One of the major limitations appears to be the low coverage of the reference transcriptome in RNA-seq mapping of reads. To improve the reference transcriptome, we obtained 14 sets of strand-specific RNA-seq data of 168.5 million reads in total from fruit of Golden Delicious (GD, the source of the reference genome) in varying growth and developmental stages. Using a combination of genome-guided assembly and de novo assembly, the apple reference transcriptome was improved to a collection of 71,178 genes or transcripts, which includes 53,654 genes predicted originally (with MDP prefixed in their IDs) and 17,524 novel transcripts. Of these novel transcripts, 8,144 were identified from reads directly mapped to the reference genome while the remaining 9,380 were extracted from de novo assemblies of reads that could not be initially mapped to the reference genome. Evaluating the improved apple reference transcriptome with reads from Golden Delicious and other genotypes used in this and other studies showed that it allowed 62.5 ± 9.3-82.3 ± 2.7 % of reads to be mapped, a marked increase from the low rates of 37.4 ± 7.7-46.6 ± 7.1 % offered by the original reference transcriptome. The improved reference transcriptome therefore represents a step forward towards a complete reference transcriptome in apple.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Italy 1 1%
Uruguay 1 1%
Brazil 1 1%
Slovenia 1 1%
Unknown 62 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 28%
Researcher 15 22%
Student > Master 9 13%
Student > Postgraduate 4 6%
Professor > Associate Professor 4 6%
Other 8 12%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 60%
Biochemistry, Genetics and Molecular Biology 11 16%
Veterinary Science and Veterinary Medicine 1 1%
Unspecified 1 1%
Nursing and Health Professions 1 1%
Other 1 1%
Unknown 12 18%
Attention Score in Context

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 23 February 2014.
All research outputs
#15,169,949
of 25,374,647 outputs
Outputs from Molecular Genetics and Genomics
#2,612
of 3,318 outputs
Outputs of similar age
#123,132
of 237,516 outputs
Outputs of similar age from Molecular Genetics and Genomics
#7
of 16 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,318 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 20th percentile – i.e., 20% 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 237,516 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 56% of its contemporaries.