Screening of Bush Type French Bean (Phaseolus vulgaris L.) Accessions for Micronutrient Variations and Characterization of Selected Genotypes using Micronutrient Content Linked Markers

Author(s):  
M.N. Mamathashree ◽  
S. Shyamalamma

Background: French bean or kidney bean is a rich source of protein, fibers and minerals in diet and is used by poor people in several Asian countries as a cheap source of protein and mineral vegetable/seed grain. Thus, the study on micronutrient variations in French bean local genotypes was undertaken to screen for Fe, Zn, Cu and Mn content in comparison to developed varieties. Methods: Selected twenty local genotypes/accessions and four released varieties of French bean were grown in the field. The morphological characterization was carried out as per crop descriptors. The micronutrient analysis for Fe, Zn, Mn and Cu content was carried out using AAS. Further, accessions were screened using fourteen SSR markers linked to Fe and Zn content.Result: The results revealed that accession IC342273 exhibited significantly higher dry pod (58.94 g) and seed yield (809.74 g) per plot. The accession IC538420 (177.31 ppm) exhibited significantly higher mean Fe content and was on par with Arka Suvidha (176 ppm). Accession EC500226 showed significantly higher Zn (26.91 ppm), Mn (15.31 ppm) and Cu (8.55 ppm) content over other accessions and varieties. Among fourteen SSR primers amplified, two genomic SSR markers (BM154 and BM211) exhibited higher polymorphism among the accessions. The SSR markers classified the accessions and varieties into two clusters, which can be used in crop improvement programmes on French bean for micronutrients bio-fortification studies.

2018 ◽  
Vol 36 (1) ◽  
pp. 51-57
Author(s):  
Érica De Oliveira Araújo ◽  
Elcio Ferreira Dos Santos ◽  
Marcos Antonio Camacho

B-Zn interaction modifies the nutritional dynamics of copper (Cu), iron (Fe) and manganese (Mn) in cotton. The main objective of this research was to evaluate the effect of B and Zn concentrations on the absorption of Cu, Fe and Mn in cotton plants grown in a nutrient solution. A completely randomized experimental design with three replicates was performed, in a 4×5 factorial scheme, corresponding to four concentrations of B (0, 20, 40 and 80 μM L-1) and five concentrations of Zn (0, 1, 2, 4 and 8 μM L-1). At 115 days after emergence, the plants were collected, divided into roots, shoots and fruits, and chemically analyzed. The results allowed to conclude that the Cu content and total Cu in the fruit, total Cu in the roots, Cu efficiency, Fe content in the roots, Fe absorption efficiency, Mn content in the fruit, and Mn absorption efficiency of cotton are influenced by the concentrations of B in the solution. The interaction between B and Zn affected the total Fe in the roots, Fe content and total Fe content in the fruit, Fe transport efficiency, total Mn in the shoots and Mn transport efficiency. In addition, Zn acts differently according to the supply of B and vice versa. 


2011 ◽  
Vol 37 (1) ◽  
pp. 74-78 ◽  
Author(s):  
Ming-Fu WEN ◽  
Xin CHEN ◽  
Hai-Yan WANG ◽  
Cheng LU ◽  
Wen-Quan WANG
Keyword(s):  

2020 ◽  
Vol 9 (3) ◽  
pp. 160-170
Author(s):  
Thumadath P.A. Krishna ◽  
Maharajan Theivanayagam ◽  
Gurusunathan V. Roch ◽  
Veeramuthu Duraipandiyan ◽  
Savarimuthu Ignacimuthu

Finger millet is a superior staple food for human beings. Microsatellite or Simple Sequence Repeat (SSR) marker is a powerful tool for genetic mapping, diversity analysis and plant breeding. In finger millet, microsatellites show a higher level of polymorphism than other molecular marker systems. The identification and development of microsatellite markers are extremely expensive and time-consuming. Only less than 50% of SSR markers have been developed from microsatellite sequences for finger millet. Therefore, it is important to transfer SSR markers developed for related species/genus to finger millet. Cross-genome transferability is the easiest and cheapest method to develop SSR markers. Many comparative mapping studies using microsatellite markers clearly revealed the presence of synteny within the genomes of closely related species/ genus. Sufficient homology exists among several crop plant genomes in the sequences flanking the SSR loci. Thus, the SSR markers are beneficial to amplify the target regions in the finger millet genome. Many SSR markers were used for the analysis of cross-genome amplification in various plants such as Setaria italica, Pennisetum glaucum, Oryza sativa, Triticum aestivum, Zea mays and Hordeum vulgare. However, there is very little information available about cross-genome amplification of these markers in finger millet. The only limited report is available for the utilization of cross-genome amplified microsatellite markers in genetic analysis, gene mapping and other applications in finger millet. This review highlights the importance and implication of microsatellite markers such as genomic SSR (gSSR) and Expressed Sequence Tag (EST)-SSR in cross-genome analysis in finger millet. Nowadays, crop improvement has been one of the major priority areas of research in agriculture. The genome assisted breeding and genetic engineering plays a very crucial role in enhancing crop productivity. The rapid advance in molecular marker technology is helpful for crop improvement. Therefore, this review will be very helpful to the researchers for understanding the importance and implication of SSR markers in closely related species.


Gene ◽  
2016 ◽  
Vol 591 (1) ◽  
pp. 227-235 ◽  
Author(s):  
Xiao Bin Liu ◽  
Bang Feng ◽  
Jing Li ◽  
Chen Yan ◽  
Zhu L. Yang

2021 ◽  
Author(s):  
Varun Hiremath ◽  
Kanwar Pal Singh ◽  
Neelu Jain ◽  
Kishan Swaroop ◽  
Pradeep Kumar Jain ◽  
...  

Abstract Genetic diversity and structure analysis using molecular markers is necessary for efficient utilization and sustainable management of gladiolus germplasm. Genetic analysis of gladiolus germplasm using SSR markers is largely missing due to scarce genomic information. In the present investigation, we report 66.66% cross transferability of Gladiolus palustris SSRs whereas 48% of Iris EST-SSRs were cross transferable across the gladiolus genotypes used in the study. A total of 17 highly polymorphic SSRs revealed a total 58 polymorphic loci ranging from two to six in each locus with an average of 3.41 alleles per marker. PIC values ranged from 0.11 to 0.71 with an average value of 0.48. Four SSRs were selectively neutral based on Ewens-Watterson test. Analysis of genetic structure of 84 gladiolus genotypes divided whole germplasm into two subpopulations. 35 genotypes were assigned to subpopulation 1 whereas 37 to subpopulation 2 and rest of the genotypes recorded as admixture. Analysis of molecular variance indicated maximum variance (53.59%) among individuals within subpopulations whereas 36.55% of variation observed among individuals within total population. Least variation (9.86%) was noticed between two subpopulations. Moderate (FST = 0.10) genetic differentiation of two subpopulations was observed. Grouping pattern of population structure was consistent with UPGMA dendrogram based on simple matching dissimilarity coefficient (ranged from 01.6 to 0.89) and PCoA. Genetic relationships assessed among the genotypes of respective clusters assist the breeders in selecting desirable parents for crossing. SSR markers from present study can be utilized for cultivar identification, conservation and sustainable utilization of gladiolus genotypes for crop improvement.


2021 ◽  
Vol 58 (2) ◽  
pp. 279-286
Author(s):  
Sandhani Saikia ◽  
Pratap Jyoti Handique ◽  
Mahendra K Modi

Genetic diversity is the source of novel allelic combinations that can be efficiently utilized in any crop improvement program. To facilitate future crop improvement programs in rice, a study was designed to identify the underlying genetic variations in the Sali rice germplasms of Assam using SSR markers. The 129 SSR markers that were used in the study amplified a total of 765 fragments with an average of 5.93 alleles per locus. The Shannon's Information Index was found to be in the range from 0.533 to 1.786. The Polymorphism Information Content (PIC) fell into the range from 0.304 to 0.691 with a mean value of 0.55. The overall FST value was found to be 0.519 that indicated the presence of genetic differentiation amongst the genotypes used in the study. The Sali population was divided into two clusters. The information obtained from the present study will facilitate the genetic improvement of Sali rice cultivars.


2014 ◽  
Vol 6 (4) ◽  
pp. 861-864 ◽  
Author(s):  
Yunting Lei ◽  
Yanyan Zhao ◽  
Feng Yu ◽  
Yuan Li ◽  
Quanwen Dou

2004 ◽  
Vol 109 (4) ◽  
pp. 740-749 ◽  
Author(s):  
J. Graham ◽  
K. Smith ◽  
K. MacKenzie ◽  
L. Jorgenson ◽  
C. Hackett ◽  
...  

2011 ◽  
Vol 3 (4) ◽  
pp. 655-658 ◽  
Author(s):  
Xia Lu ◽  
Hongxia Wang ◽  
Ping Dai ◽  
Baozhong Liu

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