Single nucleotide polymorphism based assessment of genetic diversity in local and exotic onion genotypes

Deciphering genetic diversity phylogeny and assembly of Allium species through micro satellite markers on nuclear DNA

The genus Allium is the most diverse, with cultivated crops such as onion, garlic, bunching onion, chives, leeks, and shallots, and several wild and semi-domesticated Allium species utilized as minor vegetables. These minor species are the genetic resources for various abiotic and biotic stresses. To employ underutilized species in breeding programmes, the magnitude of the genetic background of cultivated and semi-domesticated alliums, the phylogeny and diversity of the population must be known. In this study, nineteen SSR markers were employed to study the divergence and population structure of 95 Allium accessions which includes species, varieties, and interspecific hybrids, yielded 92 polymorphic loci, averaging 4.84 loci per SSR. PIC values range between 0.24 (ACM 018) and 0.98 (ACM 099). The cross transferability of ACM markers among Allium species ranges from 1.33 to 10.53 per cent, which is relatively low. The genotypes investigated were clustered into four primary clusters A, B, C, and D with 13 sub clusters I-XIII, conferring to the clustering results. The population structure investigations also found that K is a peak at value 4, implying that the population is predominantly segregated into four distinct groups, which associates the clustering pattern. The employed SSR markers adeptly unravel the complexities of diversity within alliums, holding promise for refining future breeding programs targeting elite progenies.

Estimating the combining ability and genetic parameters for growth habit, yield, and fiber quality traits in some Egyptian cotton crosses

It is crucial to understand how targeted traits in a hybrid breeding program are influenced by gene activity and combining ability. During the three growing seasons of 2015, 2016, and 2017, a field study was conducted with twelve cotton genotypes, comprised of four testers and eight lines. Thirty-two F1 crosses were produced in the 2015 breeding season using the line x tester mating design. The twelve genotypes and their thirty-two F1 crosses were then evaluated in 2016 and 2017. The results demonstrated highly significant differences among cotton genotypes for all the studied traits, showing a wide range of genetic diversity in the parent genotypes. Additionally, the line-x-tester interaction was highly significant for all traits, suggesting the impact of both additive and non-additive variations in gene expression. Furthermore, the thirty-two cotton crosses showed high seed cotton output, lint cotton yield, and fiber quality, such as fiber length values exceeding 31 mm and a fiber strength above 10 g/tex. Accordingly, selecting lines and testers with high GCA effects and crosses with high SCA effects would be an effective approach to improve the desired traits in cotton and develop new varieties with excellent yield and fiber quality.

Genetic analysis of yield traits in Egyptian cotton crosses (Gossypium barbdense L.) under normal conditions

To generate high-yielding cultivars with favorable fiber quality traits, cotton breeders can use information about combining ability and gene activity within a population to locate elite parents and potential F1 crosses. To this end, in the current study, twelve cotton parents (eight genotypes as female parents and four testers) and their F1 crosses obtained utilizing the linex tester mating design were evaluated for their general and specialized combining abilities (GCA and SCA, respectively) of yield traits. The findings showed that for all the investigated variables, variances owing to genotypes, parents, crosses, and parent vs cross showed extremely significant (P ≤ 0.01) differences. Additionally, throughout the course of two growing seasons, the mean squares for genotypes (parents and crosses) showed strong significance for all the variables under study. The greatest and most desired means for all the examined qualities were in the parent G.94, Pima S6, and tester G.86. The best crossings for the qualities examined were G.86 (G.89 × G.86), G.93 × Suvin, and G.86 × Suvin. The parents' Suvin, G89x G86 and TNB were shown to have the most desired general combining ability effects for seed cotton yield/plant, lint yield/plant, boll weight, number of bolls/plants, and lint index, while Suvin, G.96 and pima S6 were preferred for favored lint percentage. For seed cotton yield, lint percentage, boll weight, and number of bolls per plant per year, the cross-G.86 x (G.89 × G.86) displayed highly significant specific combining ability impacts. The crosses G.86 × Suvin, Kar x TNB, G.93 × Suvin, and G.93 × TNB for all the studied traits for each year and their combined were found to have highly significant positive heterotic effects relative to better parent, and they could be used in future cotton breeding programs for improving the studied traits.

Association mapping for abiotic stress tolerance using heat- and drought-related syntenic markers in okra

BACKGROUND

Considerable production losses are caused by heat and drought stress in okra. Germplasm evaluation at genetic level is essential for the selection of promising genotypes. Lack of genomic information of okra limits the use of genetic markers. However, syntenic markers of some related family could be used for molecular characterization of major economic traits.

METHODS AND RESULTS

Herein, 56 okra genotypes were evaluated for drought and heat tolerance. Sixty-one expressed sequence tags (ESTs) identified for heat and drought tolerance in cotton were searched from literature surveys and databases. The identified ESTs were BLAST searched into okra unigene database. Primers of selected okra unigenes were synthesized and amplified in all genotypes using standard polymerase chain reaction (PCR) protocol. Marker trait association (MTA) of the syntenic unigenes were identified between genotypic and phenotypic data on the basis of linkage disequilibrium Functional syntenic analysis revealed that out of these 61 cotton ESTs 55 had functional homology with okra unigenes. These 55 unigenes were used as markers for further analysis (amplification). Okra genotypes showed significance variations for all the physo-morphological parameters under heat and drought stress. Genotypes Perbhani Karanti, IQRA-III, Selection Super Green, Anmol and Line Bourd performed better under drought stress whereas genotypes Perbhani Karanti, IQRA-III, Green Gold, OK-1501 and Selection Super Green showed heat tolerance. Fifty markers showed amplification in okra. Fifty-six okra genotypes were clustered into three distinct populations. LD analysis has shown most significant linkage between markers Unigene43786 and Unigene3662. MTAs using MLM and GLM models revealed that 23 markers have significant associations (p < 0.05) with different traits under control and stressed conditions. Relative water content is associated with four markers (Unigene10673, Unigene99547, Unigene152901, and Unigene129684) under drought conditions. Whereas, Electrolyte leakage was associated with 3 markers (Unigene109922, Unigene28667 and Unigene146907) under heat stress.

CONCLUSION

These identified unigenes may be helpful in the development of drought and heat tolerant genotypes in okra.

Comparative Effect of Commercially Available Nanoparticles on Soil Bacterial Community and “Botrytis fabae” Caused Brown Spot: In vitro and in vivo Experiment

This study revealed the possible effects of various levels of silver nanoparticle (AgNP) application on plant diseases and soil microbial diversity. It investigated the comparison between the application of AgNPs and two commercial nanoproducts (Zn and FeNPs) on the rhizobacterial population and Botrytis fabae. Two experiments were conducted. The first studied the influence of 13 AgNP concentration on soil bacterial diversity besides two other commercial nanoparticles, ZnNPs (2,000 ppm) and FeNPs (2,500 ppm), used for comparison and application on onion seedlings. The second experiment was designed to determine the antifungal activity of previous AgNP concentrations (150, 200, 250, 300, 400, and 500 ppm) against B. fabae, tested using commercial fungicide as control. The results obtained from both experiments revealed the positive impact of AgNPs on the microbial community, representing a decrease in both the soil microbial biomass and the growth of brown spot disease, affecting microbial community composition, including bacteria, fungi, and biological varieties. In contrast, the two commercial products displayed lower effects compared to AgNPs. This result clearly showed that the AgNPs strongly inhibited the plant pathogen B. fabae growth and development, decreasing the number of bacteria (cfu/ml) and reducing the rhizosphere. Using AgNPs as an antimicrobial agent in the agricultural domain is recommended.