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Genome-wide identification of potato long intergenic noncoding RNAs responsive to Pectobacterium carotovorum subspecies brasiliense infection

Overview of attention for article published in BMC Genomics, August 2016
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Title
Genome-wide identification of potato long intergenic noncoding RNAs responsive to Pectobacterium carotovorum subspecies brasiliense infection
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-2967-9
Pubmed ID
Authors

Stanford Kwenda, Paul R. J. Birch, Lucy N. Moleleki

Abstract

Long noncoding RNAs (lncRNAs) represent a class of RNA molecules that are implicated in regulation of gene expression in both mammals and plants. While much progress has been made in determining the biological functions of lncRNAs in mammals, the functional roles of lncRNAs in plants are still poorly understood. Specifically, the roles of long intergenic nocoding RNAs (lincRNAs) in plant defence responses are yet to be fully explored. In this study, we used strand-specific RNA sequencing to identify 1113 lincRNAs in potato (Solanum tuberosum) from stem tissues. The lincRNAs are expressed from all 12 potato chromosomes and generally smaller in size compared to protein-coding genes. Like in other plants, most potato lincRNAs possess single exons. A time-course RNA-seq analysis between a tolerant and a susceptible potato cultivar showed that 559 lincRNAs are responsive to Pectobacterium carotovorum subsp. brasiliense challenge compared to mock-inoculated controls. Moreover, coexpression analysis revealed that 17 of these lincRNAs are highly associated with 12 potato defence-related genes. Together, these results suggest that lincRNAs have potential functional roles in potato defence responses. Furthermore, this work provides the first library of potato lincRNAs and a set of novel lincRNAs implicated in potato defences against P. carotovorum subsp. brasiliense, a member of the soft rot Enterobacteriaceae phytopathogens.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
United States 1 2%
Slovenia 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Ph. D. Student 7 14%
Student > Postgraduate 5 10%
Student > Master 5 10%
Student > Doctoral Student 2 4%
Other 6 12%
Unknown 11 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 43%
Biochemistry, Genetics and Molecular Biology 8 16%
Medicine and Dentistry 2 4%
Unspecified 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Other 2 4%
Unknown 14 29%
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 16 August 2016.
All research outputs
#20,337,210
of 22,882,389 outputs
Outputs from BMC Genomics
#9,293
of 10,668 outputs
Outputs of similar age
#311,301
of 355,869 outputs
Outputs of similar age from BMC Genomics
#240
of 265 outputs
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We're also able to compare this research output to 265 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.