Plant Breeding and Biotechnology
Koorosh Falakro; Shahin Jahangirzadeh Khiavi
Abstract
Purpose: Tea plant (Camellia sinensis L., O.Kuntze) is one of the most popular non-alcoholic beverage crops worldwide. Although tea is important in Iran’s economy, little is known about the pattern of genetic variation among the various tea genotypes grown in Iran. Research method: The relationship ...
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Purpose: Tea plant (Camellia sinensis L., O.Kuntze) is one of the most popular non-alcoholic beverage crops worldwide. Although tea is important in Iran’s economy, little is known about the pattern of genetic variation among the various tea genotypes grown in Iran. Research method: The relationship and the genetic diversity of 20 genotypes of the tea germplasm belonging to three regions were analyzed to provide guidance for the breeding of tea tree using 10 RAPD and 8 ISSR markers. Main findings: Polymorphism percent was 78.6 in RAPD and 68.06 in ISSR fingerprinting. The results of the PIC analysis were in the range of 2 0.44 to 0.49 and 0.34 to 0.50 for RAPD and ISSR respectively. From these results, it can be seen that these primers can detect genetic differences very well. The pairwise similarity coefficient between the genotypes varied from 0.37 to 0.68 for RAPD and from 0.59 to 0.96 for ISSR. The 20 tea genotypes from genetic resources were grouped into three main groups by UPGMA cluster analysis based on RAPD data, and to five main groups by UPGMA cluster analysis based on ISSR data. Both molecular analyses showed a high degree of variation among the genotypes. Limitations: Application of others molecular markers such as AFLP, SSR and (cpDNA investigation can help to found the genetic relationships of samples better. Originality/Value: The present study revealed that RAPD and ISSR methods could be successfully utilized to identify genetic diversity and relationship of tea group and this will provide valuable information to assist parental selection in current and future tea breeding programs.
Plant Breeding and Biotechnology
Shahin Jahangirzadeh; Reza Azadi Gonbad; Koorosh Falakro
Abstract
Purpose: The tea plant is one of the most important products in the northern region of Iran, and plays an essential role in the region's economy. Since today many tea plants in the region are being destroyed for various reasons, so having information about the genetics of those trees helps design breeding ...
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Purpose: The tea plant is one of the most important products in the northern region of Iran, and plays an essential role in the region's economy. Since today many tea plants in the region are being destroyed for various reasons, so having information about the genetics of those trees helps design breeding programs to reach appropriate plants for specific purposes. Research Method: SRAP markers, using eight primer combinations, were used to study the genetic relationships of 27 tea plant samples. Findings: In total, these eight combinations produced 41 scorable bands, 70.63% of which were polymorphic. The calculated PIC for all combinations was from 0.23 to 0.43 at an average of 0.36. Data analysis was performed by NTSYS software using Jaccard's similarity coefficient to determine the amount of similarity and the dendrogram was drawn based on UPGMA. Based on molecular data, the range of similarity between samples varied from 0.393 to 0.933. Samples were divided into five groups at a similarity level of 0.65. The fifth group (E) was divided into four subgroups at a similarity level of 0.75. Research limitations: Application of another marker system such as SSR and AFLP can help to understand the relationships of samples better. Originality/Value: In general, the study of genetic diversity showed that the SRAP marker could be useful in identifying polymorphic regions and estimating genetic distances and germplasm management in tea plants.
