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Identification of Single-Copy Orthologous Genes between Physalis and Solanum lycopersicum and Analysis of Genetic Diversity in Physalis Using Molecular Markers

Overview of attention for article published in PLOS ONE, November 2012
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Title
Identification of Single-Copy Orthologous Genes between Physalis and Solanum lycopersicum and Analysis of Genetic Diversity in Physalis Using Molecular Markers
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050164
Pubmed ID
Authors

Jingli Wei, Xiaorong Hu, Jingjing Yang, Wencai Yang

Abstract

The genus Physalis includes a number of commercially important edible and ornamental species. Its high nutritional value and potential medicinal properties leads to the increased commercial interest in the products of this genus worldwide. However, lack of molecular markers prevents the detailed study of genetics and phylogeny in Physalis, which limits the progress of breeding. In the present study, we compared the DNA sequences between Physalis and tomato, and attempted to analyze genetic diversity in Physalis using tomato markers. Blasting 23180 DNA sequences derived from Physalis against the International Tomato Annotation Group (ITAG) Release2.3 Predicted CDS (SL2.40) discovered 3356 single-copy orthologous genes between them. A total of 38 accessions from at least six species of Physalis were subjected to genetic diversity analysis using 97 tomato markers and 25 SSR markers derived from P. peruviana. Majority (73.2%) of tomato markers could amplify DNA fragments from at least one accession of Physalis. Diversity in Physalis at molecular level was also detected. The average Nei's genetic distance between accessions was 0.3806 with a range of 0.2865 to 0.7091. These results indicated Physalis and tomato had similarity at both molecular marker and DNA sequence levels. Therefore, the molecular markers developed in tomato can be used in genetic study in Physalis.

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 %
Germany 1 2%
Gambia 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Master 6 12%
Student > Ph. D. Student 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Other 11 22%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 63%
Medicine and Dentistry 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Environmental Science 1 2%
Psychology 1 2%
Other 1 2%
Unknown 12 24%