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Showing 2 results for Molecular Marker

Mehrnoush Daneshvar, Mahmood Maleki, Shahryar Shakeri, Amin Baghizadeh,
Volume 6, Issue 4 (1-2020)
Abstract

Phosphorus, the most essential nutrient for plants, becomes quickly unavailable for the plants in the soil. Phosphate solubilizing bacteria (PSB( can play an important role in providing Phosphorus for plants. In this study, the PSBs were screened from plant rhizosphere by Pikovskaya method. Then, the growth rate and phosphate solubilizing ability of 9 superior strains were measured at different temperatures and levels of salinity and pH. The best strain was identified by 16S rDNA gene sequence analysis. Finally, the genetic diversity of phosphate solubilizing strains were examined by RAPD markers. Results showed that 25 strains were capable of solubilizing insoluble phosphates among the 57 isolates studied. Of the nine superior strains, Cke1 had the highest solubilizing index with the average growth rate under all conditions and was introduced as the best PSB strain identified in the present study. 16S rDNA gene sequence analysis showed that this strain belonged to the Enterobacter genus. The results of genetic variation showed that all stains were divided into six groups and three strains that had the lowest similarity with other strains were placed in three separate groups. Given that Cke1 strain has the ability of solubilizing the insoluble phosphate in different stresses, it can be a good candidate for providing phosphorus at temperatures of 30 and 35 °C, 1.2% and 1.8% salinity levels and pH levels of 6 and 8 for the crops.


Mrs Nasrin Mehdinejhad Moghadam, Dr Omid Sofalian, Dr Naser Zare, Dr Mohamad Sedghi, Dr Rahmatollah Karimizadeh, Dr Fatemeh Mohamadiazar,
Volume 11, Issue 1 (6-2024)
Abstract

Legumes are common crops in arid and semi-arid regions. This study was conducted to investigate three levels of salinity stress on 18 lentil cultivars in the greenhouse and laboratories of Mohaghegh Ardabili University in 2016-2016 in a factorial manner in the form of a randomized complete block design with three replications. The results of comparing average lentil genotypes were done with Duncan's method at the five percent probability level. Correlation was done in separate stress levels. The dendrogram of cluster analysis divided the genotypes into three groups in control and 60 mM conditions and two in 120 mM conditions. Genotypes 7 and 5 were in the top group in all groupings. The relationship between ISSR molecular markers and physiological traits was calculated among genotypes. All traits in three levels of salinity stress had a significant correlation with some ISSR markers. A total of 22 positive markers for physiological traits were identified at the control level, 9 positive markers at the moderate stress level, and 23 positive markers at the severe stress level. Among the 21 studied ISSR primers, the P8A11 marker had the largest number of gene loci related to the studied physiological traits.

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