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Comparative analysis of transcription factor gene families from Papaver somniferum: identification of regulatory factors involved in benzylisoquinoline alkaloid biosynthesis

Overview of attention for article published in Protoplasma, June 2015
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Title
Comparative analysis of transcription factor gene families from Papaver somniferum: identification of regulatory factors involved in benzylisoquinoline alkaloid biosynthesis
Published in
Protoplasma, June 2015
DOI 10.1007/s00709-015-0848-8
Pubmed ID
Authors

Parul Agarwal, Sumya Pathak, Deepika Lakhwani, Parul Gupta, Mehar Hasan Asif, Prabodh Kumar Trivedi

Abstract

Opium poppy (Papaver somniferum L.), known for biosynthesis of several therapeutically important benzylisoquinoline alkaloids (BIAs), has emerged as the premier organism to study plant alkaloid metabolism. The most prominent molecules produced in opium poppy include narcotic analgesic morphine, the cough suppressant codeine, the muscle relaxant papaverine and the anti-microbial agent sanguinarine and berberine. Despite several health benefits, biosynthesis of some of these molecules is very low due to tight temporal and spatial regulation of the genes committed to their biosynthesis. Transcription factors, one of the prime regulators of secondary plant product biosynthesis, might be involved in controlled biosynthesis of BIAs in P. somniferum. In this study, identification of members of different transcription factor gene families using transcriptome datasets of 10 cultivars of P. somniferum with distinct chemoprofile has been carried out. Analysis suggests that most represented transcription factor gene family in all the poppy cultivars is WRKY. Comparative transcriptome analysis revealed differential expression pattern of the members of a set of transcription factor gene families among 10 cultivars. Through analysis, two members of WRKY and one member of C3H gene family were identified as potential candidates which might regulate thebaine and papaverine biosynthesis, respectively, in poppy.

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Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Other 3 10%
Student > Master 3 10%
Student > Postgraduate 2 7%
Researcher 2 7%
Other 5 17%
Unknown 6 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 43%
Biochemistry, Genetics and Molecular Biology 4 13%
Chemical Engineering 2 7%
Unspecified 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 7%
Unknown 7 23%
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 26 June 2015.
All research outputs
#20,281,599
of 22,815,414 outputs
Outputs from Protoplasma
#745
of 976 outputs
Outputs of similar age
#219,909
of 263,898 outputs
Outputs of similar age from Protoplasma
#12
of 17 outputs
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So far Altmetric has tracked 976 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 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.