| Title |
Analysis of Genetic Diversity Among Chinese Auricularia auricula Cultivars Using Combined ISSR and SRAP Markers
|
|---|---|
| Published in |
Current Microbiology, February 2010
|
| DOI | 10.1007/s00284-010-9587-4 |
| Pubmed ID | |
| Authors |
Lihua Tang, Yang Xiao, Li Li, Qian Guo, Yinbing Bian |
| Abstract |
DNA polymorphism among 34 Chinese Auricularia auricula cultivars was analyzed using inter-simple sequence repeat (ISSR) and sequence-related amplified polymorphism (SRAP) markers. Thirty ISSR primers amplified a total of 129 DNA fragments of which 125 (96.9%) were polymorphic, whereas 11 SRAP primer combinations amplified 154 fragments of which 148 (96.1%) were polymorphic. Both methods were highly effective in discriminating among the test strains. Phylogenetic trees constructed on the basis of ISSR, SRAP, and combined ISSR/SRAP analyses using the Unweighted Pair-group Method with Arithmetic Averages (UPGMA) method distributed the 34 strains into four or five major groups. Clustering analysis based on all the three data sets indicated a high level of genetic diversity among A. auricula, although the combined ISSR/SRAP data were more concordant with the main agronomic characters of strains and their geographical centers of cultivation. Our findings will facilitate future A. auricula breeding programs and the development of bioactive products from this commercially important medicinal mushroom. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 2 | 7% |
| Japan | 1 | 4% |
| Unknown | 25 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 25% |
| Student > Postgraduate | 4 | 14% |
| Student > Doctoral Student | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Lecturer | 2 | 7% |
| Other | 7 | 25% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 61% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Immunology and Microbiology | 2 | 7% |
| Environmental Science | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 April 2022.
All research outputs
#7,454,427
of 22,789,566 outputs
Outputs from Current Microbiology
#487
of 2,409 outputs
Outputs of similar age
#48,799
of 165,200 outputs
Outputs of similar age from Current Microbiology
#4
of 6 outputs
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