Analysis of genetic diversity among common bean germplasm by start codon targeted (SCoT) markers

Molecular phylogeny of plant pathogenic fungi based on start codon targeted (SCoT) polymorphism

BACKGROUND

A number of molecular marker systems have been developed to assess genetic diversity, carry out phylogenetic analysis, and diagnose and discriminate plant pathogenic fungi. The start codon targeted (SCoT) markers system is a novel approach used here to investigate intra and interspecific polymorphisms of phytopathogenic fungi.

MATERIALS AND METHODS

This study assessed genetic variability between and within 96 isolates of ten fungal species associated with a variety of plant species using 36 SCoT primers.

RESULTS

The six primers generated 331 distinct and reproducible banding patterns, of which 322 were polymorphic (97.28%), resulting in 53.67 polymorphic bands per primer. All primers produced informative amplification profiles that distinguished all fungal species. With a resolving power of 10.65, SCoT primer 12 showed the highest polymorphism among species, followed by primer 33 and primer 29. Polymorphic loci (PPL), Nei's diversity index (h), and Shannon index (I) percentages were 6.25, 0.018, and 0.028, respectively. UPGMA analysis separated all isolates based on morphological classification and revealed significant genetic variation among fungal isolates at the intraspecific level. PCoA analysis strongly supported fungal species discrimination and genetic variation. The other parameters of evaluation proved that SCoT markers are at least as effective as other DNA markers.

CONCLUSIONS

SCoT markers were effective in identifying plant pathogenic fungi and were a powerful tool for estimating genetic variation and population structure of different fungi species.

Efficiency of RAPD and SCoT Markers in the Genetic Diversity Assessment of the Common Bean

Knowledge about the genetic diversity of the available common bean germplasm can help breeders properly direct the choice of genetic material in the breeding process. The aim of the present work was to estimate the usefulness of 10 RAPD and 10 SCoT markers in genetic diversity detection among 33 common bean genotypes. Both molecular marker systems were able to generate high levels of polymorphism in the genetic material, which was supported by the relatively high polymorphic information content (PIC) values observed for the used markers. The Diversity Detection Index (DDI) and Marker Index (MI) were used to compare the effectiveness of RAPD and SCoT markers. For both techniques, high values of MI and DDI were calculated, representing their effectivity. The SCoT markers showed higher values of the parameters used (MI = 7.474, DI = 2.265) than the RAPD markers (MI = 5.323, DDI = 1.612), indicating their higher efficiency in the detection of molecular variability. Three constructed dendrograms and PCoA plots were created using RAPD and SCoT, and both methods combined confirmed sufficient separation of the bean genotypes from each other. At the same time, a higher efficiency of SCoT markers compared to RAPD markers in the detection of the genetic diversity of beans was also proven. The results may be of future interest in the choice of genetically distant material for breeding purposes.

Deciphering the level of genetic diversity in some aegilops species using CAAT box-derived polymorphism (CBDP) and start codon target polymorphism (SCoT) markers

BACKGROUND

Maintaining genetic diversity is of the most essential principle for a long-term conservation of plant genetic resources and could play a crucial role in their management. The genus Aegilops is one important member of wheat germplasm, and there are evidences that novel genes of this genus' species can be studied/utilized as ideal sources for the wheat cultivar improvement. The objective of this study was to dissect the genetic diversity and population structure among a set of Iranian Aegilops using two gene-based molecular markers.

METHODS AND RESULTS

This study investigated the level of genetic diversity among 157 Aegilops accessions consisting of Ae. tauschii Coss. (DD genome), Ae. crassa Boiss. (DDMM genome), and Ae. cylindrica Host. (CCDD genome) belonging to NPGBI using two sets of CBDP and SCoT markers. The SCoT and CBDP primers yielded 171 and 174 fragments, out of which 145 (90.23%) and 167 (97.66%) fragments were polymorphic, respectively. The average of polymorphism information content (PIC)/ marker index (MI)/resolving power (Rp) for SCoT and CBDP markers were 0.32/3.59/16.03 and 0.29/3.01/16.26, respectively. Results of AMOVA revealed the genetic variability within species was greater than the variation observed among them (SCoT: 88% vs. 12%; CBDP: 72% vs. 28%; SCoT + CBDP: 80% vs. 20%). Based on the information obtained from both markers, the higher level of genetic diversity was found in Ae. tauschii as compared to other species. The grouping patterns obtained by Neighbor-joining algorithms, principal coordinate analysis (PCoA), and Bayesian-model-based structure were consistent with each other and resulted in grouping all studied accessions according to their genomic constitutions.

CONCLUSION

The results of this study revealed a high level of genetic diversity among Iranian Aegilops germplasm. Moreover, SCoT and CBDP marker systems were efficient in deciphering DNA polymorphism and classification of Aegilops germplasm.

Investigating the geographical, phenotypic and genetic diversity of Sickleweed populations by bioclimatic parameters, morphological traits and SCoT molecular markers

Sickleweed (Falcaria vulgaris) is important due to its nutritional value and medicinal effects on the human body. The 15 different Sickleweed populations were collected based on an unbalanced nest design with 10 replications and nine morphological traits were measured on them. The diversity was investigated with 15 primers of SCoT marker. The genetic diversity was investigated by ANOVA, cluster analysis and Bayesian statistical model based on morphological traits, bioclimatic and SCoT. Grouping the study areas based on bioclimatic parameters by UPGMA method showed that these areas were divided into two groups and were similar in terms of climatic similarities and bioclimatic information. The results of analysis of variance showed that there was a significant difference between populations at the level of one percent for the studied traits. The cluster analysis based traits by the UPGMA method divided these populations into two groups. The phenotypic diversity of these populations was largely consistent with the geographical diversity. The primers used for SCoT marker produced 137 polymorphic bands on the populations, The UPGMA cluster analysis with molecular data placed the studied populations into three groups and four subgroups. Grouping based on the Bayesian method placed the populations into nine groups, although the populations were not differentiated and were a mixture of all nine groups. High genetic diversity for the studied Sickleweed populations have showed valuable insights into the evolution of this plant and provides basic data for designing appropriate management practices for breeding Sickleweed populations.

Start codon targeted (SCoT) polymorphism marker in plant genome analysis: current status and prospects

The present review illustrates a comprehensive overview of the start codon targeted (SCoT) polymorphism marker and their utilization in various applications related to genetic and genomic studies. Start codon targeted (SCoT) polymorphism marker, a targeted fingerprinting marker technique, has gained considerable importance in plant genetics, genomics, and molecular breeding due to its many desirable features. SCoT marker targets the region flanking the start codon, a highly conserved region in plant genes. Therefore, it can distinguish genetic variations in a specific gene that link to a specific trait. It is a simple, novel, cost-effective, highly polymorphic, and reproducible molecular marker for which there is no need for prior sequence information. In the recent past, SCoT markers have been employed in many commercially important and underutilized plant species for a variety of applications, including genetic diversity analysis, interspecific/generic genetic relationships, cultivar/hybrid/species identification, sex determination, construction of linkage map, association mapping/analysis, differential gene expression, and genetic fidelity analysis of tissue culture-raised plants. The main aim of this review is to provide up-to-date information on SCoT markers and their application in many commercially important and underutilized plant species, mainly progress made in the last 8-10 years.

Incidence and coat protein characterization of apple stem pitting virus isolates from Isparta province of Turkey

Turkey is one of the major countries in the world in terms of fruit growing due to its climate diversity and geographical features. Apple, which is one of these fruits, is grown intensively in Turkey, and especially the Mediterranean Region is important for apple agriculture. Today, viral diseases are considered as an important yield loss factor in apple farming. This study investigated the incidence and molecular characterization of apple stem pitting virus (ASPV) in Isparta province, a significant apple-producing region in Turkey. By using the DAS-ELISA and RT-PCR methods, ASPV infection was found in 7 out of 70 collected apple leaf samples. The partial nucleotid sequences of ASPV were obtained and registered in GenBank for accession numbers. The generated similarity matrix by using the representative isolates revealed that the new ASPV isolates shared 79–93% of their nucleotide sequences with GenBank reference acessions. The isolates collected in this research were clustered in group 1 of the phylogenetic tree that was created by selecting a specific number of isolates from GenBank and thought to be reliable in the phylogenetic differentiation of ASPV. This is the first study to examine the prevalence of ASPV in the Isparta region and its phylogeny. It is possible that the results of the research will contribute to a better understanding of the situation of ASPV in Turkey.

Determining Genetic Diversity and Population Structure of Common Bean (Phaseolus vulgaris L.) Landraces from Türkiye Using SSR Markers

Assessment of genetic diversity among different varieties helps to improve desired characteristics of crops, including disease resistance, early maturity, high yield, and resistance to drought. Molecular markers are one of the most effective tools for discovering genetic diversity that can increase reproductive efficiency. Simple sequence repeats (SSRs), which are codominant markers, are preferred for the determination of genetic diversity because they are highly polymorphic, multi-allelic, highly reproducible, and have good genome coverage. This study aimed to determine the genetic diversity of 40 common bean (Phaseolus vulgaris L.) landraces collected from the Ispir district located in the Northeast Anatolia region of Türkiye and five commercial varieties using SSR markers. The Twenty-seven SSR markers produced a total of 142 polymorphic bands, ranging from 2 (GATS91 and PVTT001) to 12 (BM153) alleles per marker, with an average number of 5.26 alleles. The gene diversity per marker varied between 0.37 and 0.87 for BM053 and BM153 markers, respectively. When heterozygous individuals are calculated proportional to the population, the heterozygosity ranged from 0.00 to 1.00, with an average of 0.30. The expected heterozygosity of the SSR locus ranged from 0.37 (BM053) to 0.88 (BM153), with an average of 0.69. Nei's gene diversity scored an average of 0.69. The polymorphic information content (PIC) values of SSR markers varied from 0.33 (BM053) to 0.86 (BM153), with an average of 0.63 per locus. The greatest genetic distance (0.83) was between lines 49, 50, 53, and cultivar Karacaşehir-90, while the shortest (0.08) was between lines 6 and 26. In cluster analysis using Nei's genetic distance, 45 common bean genotypes were divided into three groups and very little relationship was found between the genotypes and the geographical distances. In genetic structure analysis, three subgroups were formed, including local landraces and commercial varieties. The result confirmed that the rich diversity existing in Ispir bean landraces could be used as a genetic resource in designing breeding programs and may also contribute to Türkiye bean breeding programs.

Genetic diversity and population structure of Saccharomyces cerevisiae isolated from Turkish sourdough by iPBS-retrotransposons markers

Molecular DNA markers are valuable tools for analyzing genetic variation among yeast from different populations to reveal the genetically different autochthonous strains. In this study, we employed inter-primer binding site (iPBS) retrotransposon polymorphism to assess the genetic variation and population structure of 96 Saccharomyces cerevisiae isolates from four different regions in Turkey. The nine selected iPBS primers amplified 102 reproducible and scorable bands, of which 95.10% were polymorphic with an average of 10.78 polymorphic fragments per primer. The average polymorphism information content and the resolving power were 0.26–3.58, respectively. Analysis of molecular variance (AMOVA) revealed significant (P < 0.001) genetic differences within populations (88%) and between populations (12%). The unweighted pair group mean with arithmetic (UPGMA) dendrogram grouped 96 S. cerevisiae strains into two main clusters, where the highest probability of the data elucidating the population structure was obtained at ΔK = 2. There was not an obvious genetic discrimination of the populations according to geographical regions on UPGMA, supported by principal coordinate analysis. However, the individuals of the closer provinces in each population were more likely to group together or closely. The results indicate that iPBS polymorphism is a useful tool to reveal the genetically diverse autochthonous S. cerevisiae strains that may be important for the production of sourdough or baked goods.