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Characterization of new microsatellite markers based on the transcriptome sequencing of Clematis finetiana

Overview of attention for article published in Hereditas, May 2018
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Title
Characterization of new microsatellite markers based on the transcriptome sequencing of Clematis finetiana
Published in
Hereditas, May 2018
DOI 10.1186/s41065-018-0060-x
Pubmed ID
Authors

Zhigao Liu, Weili Shao, Yamei Shen, Mengcheng Ji, Wenchao Chen, Ying Ye, Yongbao Shen

Abstract

Clematis is the biggest genus in the family Ranunculaceae with about 300 species. Clematis is also a globally important commercial group of flowers, especially in the United States and European countries. Their petals with different colors and shapes make the genus the "Queen of the Vines". However, the genomic information and phylogeny of Clematis based on existing molecular studies are limited. In this paper, new microsatellites (SSR) markers were identified from the transcriptome data of C. finetiana obtained using the Illumina paired-end sequencing technology. Sequences on a total of 71,900 high-quality unigenes with the mean length of 865 bp were produced in this study. There were 6192unigenes annotated and classified into 49 functional sub-groups in three main ontology categories in GO (Gen Ontology) database,14,022 unigenes mapped to COGs (Clusters of Orthologous Groups) database and classified into 25 functional categories, and 21,494 unigenes obtained and divided into 128 pathways of KEGG (Kyoto Encyclopedia of Genes) Database. A total of 7532 SSRs were discovered from 6337 unigenes. We randomly tested 210 primer pairs, of which 52 primer pairs were able to generate specific products, and 19 possessed polymorphism in the 13 wild populations of six species from Clematis, which were used as a test material. The dataset of C. finetiana transcriptome and the identified new SSR markers will promote genetic research and breeding effort in Clematis.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Other 1 9%
Professor 1 9%
Student > Bachelor 1 9%
Professor > Associate Professor 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Environmental Science 1 9%
Agricultural and Biological Sciences 1 9%
Physics and Astronomy 1 9%
Earth and Planetary Sciences 1 9%
Other 0 0%
Unknown 3 27%

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 01 June 2018.
All research outputs
#10,959,477
of 13,796,475 outputs
Outputs from Hereditas
#225
of 284 outputs
Outputs of similar age
#204,975
of 274,160 outputs
Outputs of similar age from Hereditas
#1
of 1 outputs
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