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Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing

Overview of attention for article published in Frontiers in Genetics, September 2018
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Title
Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing
Published in
Frontiers in Genetics, September 2018
DOI 10.3389/fgene.2018.00374
Pubmed ID
Authors

Aisuo Wang, Hanwen Wu, Xiaocheng Zhu, Jianmin Lin

Abstract

Flaxleaf fleabane (Conyza bonariensis [L.] Cronquist) is one of the most difficult weeds to control worldwide. There are more than 150 Conyza species in the world and eight species in Australia. Correct identification of these species can be problematic due to their morphological similarities especially at seedling stage. Developing a robust genetics - based species identification method to distinguish C. bonariensis from other closely related species is important for early control of weeds. We thus examined the chloroplast (cp) genome of C. bonariensis, aiming to identify novel DNA barcodes from the genome sequences, and use the entire cp genome as a super-barcode for molecular identification. The C. bonariensis chloroplast genome is 152,076 bp in size, encodes 133 genes including 88 protein-coding genes, 37 tRNA genes and 8 ribosomal RNA genes. A total of 151 intergenic regions and 19 simple sequence repeats were identified in the cp genome of C. bonariensis, which provides a useful genetic resource to develop robust markers for the genetic diversity studies of Conyza species. The sequence information was used to design a robust DNA barcode rps16 and trnQ-UUG which successfully separated three predominant Conyza species (C. bonariensis, C. canadensis, and C. sumatrensis). Phylogenetic analyses based on the cp genomes of C. bonariensis, C. canadensis and 18 other Asteraceae species revealed the potential of using entire cp genome as a plant super-barcode to distinguish closely-related weed species.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Master 5 16%
Student > Bachelor 4 13%
Student > Postgraduate 3 10%
Student > Ph. D. Student 2 6%
Other 4 13%
Unknown 6 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 48%
Pharmacology, Toxicology and Pharmaceutical Science 3 10%
Engineering 2 6%
Unspecified 1 3%
Nursing and Health Professions 1 3%
Other 3 10%
Unknown 6 19%
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 15 September 2018.
All research outputs
#17,990,045
of 23,103,436 outputs
Outputs from Frontiers in Genetics
#6,181
of 12,152 outputs
Outputs of similar age
#242,138
of 337,559 outputs
Outputs of similar age from Frontiers in Genetics
#162
of 225 outputs
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So far Altmetric has tracked 12,152 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.