Related Experiment Video
Updated: Apr 19, 2026

Identifying Mutations by High Resolution Melting in a TILLING Population of Rice
Published on: September 2, 2019
Polymorphic microsatellite markers for Allium mongolicum Regel (Amaryllidaceae)
Tian-Yun Zhang1, Hai-Kui Chen, Chang-Rong Zhang
1The First Hospital, The Chinese People's Liberation Army.
Researchers developed new genetic markers for Allium mongolicum Regel, a desert plant. These microsatellite markers will help study its genetic diversity and structure for conservation efforts.
Area of Science:
- Botany
- Genetics
- Conservation Biology
Background:
- Allium mongolicum Regel is a desert plant native to western China.
- Understanding its genetic diversity and population structure is crucial for effective conservation.
Purpose of the Study:
- To develop novel polymorphic microsatellite markers for Allium mongolicum.
- To evaluate the genetic diversity and population genetic structure of this species.
Main Methods:
- Developed 13 novel polymorphic microsatellite loci using combined biotin capture technique.
- Genotyped 60 individuals from two populations of A. mongolicum.
- Analyzed microsatellite characteristics, including allele numbers and heterozygosities.
Main Results:
- Identified 2 to 14 alleles per locus.
- Observed heterozygosities ranged from 0.132 to 0.875.
- Expected heterozygosities ranged from 0.447 to 0.986.
Conclusions:
- The developed microsatellite markers are effective for assessing genetic variation and structure in A. mongolicum.
- These markers provide a valuable tool for the conservation and management of this desert plant species.
More Related Videos
10:27A Fast Silver Staining Protocol Enabling Simple and Efficient Detection of SSR Markers using a Non-denaturing Polyacrylamide Gel
Published on: April 20, 2018
12:01A PCR-based Genotyping Method to Distinguish Between Wild-type and Ornamental Varieties of Imperata cylindrica
Published on: February 20, 2012
Related Concept Videos
Modern Molecular Taxonomy
Single Nucleotide Polymorphisms-SNPs