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RNA-Seq analysis and transcriptome assembly for blackberry (Rubus sp. Var. Lochness) fruit

Overview of attention for article published in BMC Genomics, January 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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1 blog
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1 Facebook page

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Title
RNA-Seq analysis and transcriptome assembly for blackberry (Rubus sp. Var. Lochness) fruit
Published in
BMC Genomics, January 2015
DOI 10.1186/s12864-014-1198-1
Pubmed ID
Authors

Daniel Garcia-Seco, Yang Zhang, Francisco J Gutierrez-Mañero, Cathie Martin, Beatriz Ramos-Solano

Abstract

BackgroundThere is an increasing interest in berries, especially blackberries in the diet, because of recent reports of their health benefits due to their high content of flavonoids. A broad range of genomic tools are available for other Rosaceae species but these tools are still lacking in the Rubus genus, thus limiting gene discovery and the breeding of improved varieties.Results De novo RNA-seq of ripe blackberries grown under field conditions was performed using Illumina Hiseq 2000. Almost 9 billion nucleotide bases were sequenced in total. Following assembly, 42,062 consensus sequences were detected. For functional annotation, 33,040 (NR), 32,762 (NT), 21,932 (Swiss-Prot), 20,134 (KEGG), 13,676 (COG), 24,168 (GO) consensus sequences were annotated using different databases; in total 34,552 annotated sequences were identified. For protein prediction analysis, the number of coding DNA sequences (CDS) that mapped to the protein database was 32,540. Non redundant (NR), annotation showed that 25,418 genes (73.5%) has the highest similarity with Fragaria vesca subspecies vesca. Reanalysis was undertaken by aligning the reads with this reference genome for a deeper analysis of the transcriptome. We demonstrated that de novo assembly, using Trinity and later annotation with Blast using different databases, were complementary to alignment to the reference sequence using SOAPaligner/SOAP2. The Fragaria reference genome belongs to a species in the same family as blackberry (Rosaceae) but to a different genus. Since blackberries are tetraploids, the possibility of artefactual gene chimeras resulting from mis-assembly was tested with one of the genes sequenced by RNAseq, Chalcone Synthase (CHS). cDNAs encoding this protein were cloned and sequenced. Primers designed to the assembled sequences accurately distinguished different contigs, at least for chalcone synthase genes.ConclusionsWe prepared and analysed transcriptome data from ripe blackberries, for which prior genomic information was limited. This new sequence information will improve the knowledge of this important and healthy fruit, providing an invaluable new tool for biological research.

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Mendeley readers

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Geographical breakdown

Country Count As %
Brazil 1 <1%
India 1 <1%
Slovakia 1 <1%
Mexico 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 97 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 27%
Student > Ph. D. Student 21 20%
Student > Master 14 14%
Student > Doctoral Student 8 8%
Student > Bachelor 7 7%
Other 13 13%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 66 64%
Biochemistry, Genetics and Molecular Biology 12 12%
Computer Science 5 5%
Medicine and Dentistry 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 3 3%
Unknown 14 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 09 August 2016.
All research outputs
#3,976,464
of 22,778,347 outputs
Outputs from BMC Genomics
#1,624
of 10,643 outputs
Outputs of similar age
#57,359
of 351,834 outputs
Outputs of similar age from BMC Genomics
#46
of 278 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,643 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 84% of its peers.
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 351,834 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 278 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.