Molecular characterization of genetic diversity and similarity centers of safflower accessions with ISSR markers

Abstract

Crop genetic resources are vital inputs in crop genetic improvement. In this study, genetic diversity, population structure, and similarity centers for 131 safflower accessions obtained from 28 countries were investigated using 12 ISSR markers. A sum of 201 ISSR bands were obtained among which 188 (93.844%) were found polymorphic. Mean polymorphism information content (0.448) and diversity parameters including mean effective number of alleles (1.655), mean Shannon's information index (0.557), mean expected heterozygosity (0.354), and mean overall gene diversity (0.377) showed a good level of genetic diversity in the studied safflower materials. Model-based structure, unweighted pair-group method with arithmetic means, and principal coordinate analysis clustered all accessions into three main populations; A, B, and C and an unclassified population. Accessions originated from Asian countries like Pakistan and Israel were found most diverse. Three accessions, Pakistan-11, Israel-1, and Pakistan-26, were found most genetically distant and might be used as parental sources for genetic combinations in safflower breeding activities. Analysis of molecular variance revealed highly significant differentiation among the identified populations and population × country combinations. The results presented in this work most probably supported the hypothesis of seven similarity centers of safflower but need to be validated with further confirmed investigations. The information provided herein is expected to be helpful for the scientific community interested in safflower breeding.

Genetic diversity and population structure of endangered rosewood from the Peruvian Amazon using ISSR markers

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Effects of oil pollution on soil microbial diversity in the Loess hilly areas, China

“…The spliced Raw Tags need to be filtered strictly to get the high-quality Tags data (Clean Tags). Referring to the quality control process of Tags in Qiime (V1.9.1), the following operations were performed: (a) Tags interception: Raw Tags were truncated from the first low-quality site where the number of consecutive low-quality bases (default quality threshold <=19) reached a set length (default length value is 3)(Ali et al 2020); (b) Tags length filtering: Tags were intercepted to obtain the Tags. The Tags obtained after the above processing need to be processed to remove the chimeric sequences, and the Tags sequences were compared with the species annotation database to detect the chimeric sequences, and finally removed the chimeric sequences to obtain the final effective data (Effective Tags)(Wagh and Tiwari 2020).…”

Genetic Relationships and Diversity Analysis in Turkish Laurel (Laurus Nobilis L.) Germplasm Using ISSR&nbsp;and SCoT&nbsp;Markers

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