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Research Detail

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M R MOLLA
Plant Genetic Resources Centre, BARI, Joydebpur, Gazipur

I AHMED
Plant Genetic Resources Centre, BARI, Joydebpur, Gazipur

S RAHMAN
Plant Genetic Resources Centre, BARI, Joydebpur, Gazipur

M A HOSSAIN
Plant Genetic Resources Centre, BARI, Joydebpur, Gazipur

The experiment was carried out with 96 germplasm of muskmelon (Cucumis melo L.) at Molecular Biology Lab., Plant Genetic Resources Centre of Bangladesh Agricultural Research Institute, Gazipur during May 2017. High-quality genomic DNA was obtained successfully using modified SDS and phenol: chloroform: IAA protocol. All nine microsatellite markers were found to be polymorphic. A total of 28 alleles with an average number of 3.11 alleles per locus were found. The locus TJ10 showed the highest number of alleles (5) (size ranging from 141 to 160 bp) followed by 4 alleles (132 to 157 bp and 98 to 113 bp) and 3 alleles (131 to 141 bp, 230 to 302 bp, 150 to 162 bp, and 171 to 187 bp) at the loci CMGA104, CMCT44, CMAG59, CMTA134a, and J27, respectively. The primer TJ10 also yielded the highest number of PIC values (0.770). Genetic differentiation (Fst) values were found in the ranges from 0.535 to 1.000 with an average of 0.776 and gene flow (Nm) values ranged from 0.000 to 0.218 with an average of 0.072. A broad genetic base was found among the muskmelon genotypes. Overall Nei’s genetic distance value from 0.000 to 2.300 among 4560 pairs resulting in a means of permutation combination of 96 muskmelon genotypes. In the UPGMA dendrogram, among 96 genotypes of muskmelon 12 were grouped in cluster “A” and other 84 in cluster “B”.

  Genetic diversity, Muskmelon, Molecular characterization, SSR markers
  Molecular Biology Lab., Plant Genetic Resources Centre of Bangladesh Agricultural Research Institute, Gazipur
  00-00-2016
  00-00-2017
  Variety and Species
  Muskmelon

To determine the genetic diversity of muskmelon genotypes col­lected from different locations of Bangladesh.

Diversity at the molecular level was studied at the Molecular Biology Lab., Plant Genetic Resources Centre of Bangladesh Agricultural Research Institute, Gazipur using SSR markers. A total of 96 germplasm of muskmelon collected from different sources were selected for the present study (Annexure 01). Young, fresh, disease and insect-free leaves were used for DNA extraction. The genomic DNA was isolated from a bulk of 3-week old seedling leaf tissues taken from 5 plants from each genotype using SDS (Sodium dodecyl sulfate) and phenol: chloroform: IAA followed by alcohol precipitation described by Saghai-Maroof et al. (1984) with some modifications. Excluding usage of liquid nitrogen, the modified protocol included digestion with homogenization buffer (Solution: Tris-50 mM, EDTA-25 mM, NaCl-300 mM, 1% SDS and deionized water) at 65ºC for 30 min, extraction with phenol: chloroform: isoamyl alcohol (25:24:1), precipitation with ice-cold and extra pure isopropyl alcohol and purification with absolute ethanol (Plus sodium acetate, 3M) and 70% ethanol chronologically. DNA sample of each muskmelon germplasm dissolving in 50 μl of TE buffer within 1.5 ml eppendorf tube. When the DNA pellet was totally dissolved in TE buffer, 4μl RNase (10mg/ml) was added to isolated DNA and incubated at 37°C for 1.5 hours. Finally, DNA sample was stored at -20ºC. The presence of genomic DNA was confirmed on 1% agarose gel qualitatively. The gels were visualized under UV light and photographed using a photo documentation system (UV Transilluminator, Uvitec, UK). All of the DNA samples were found to be of good quality in this study. The amount of genomic DNA was quantified using UV a spectrophotometer (Spectronic GENESYS 10 Bio) at 260 nm. Using the absorbance reading obtained for DNA sample of each muskmelon germplasm, the original DNA concentrations were determined. nNine SSR primer pairs described previously in the literature (Katzir et al. 1996, Poleg et al. 2001and Henane et al. 2015) were used for microsatellite analysis in the present study. All 9 primers pairs were shown better responsiveness with clear and expected amplified product sizes.

Amplification reactions were performed in 10-μL volumes containing 5X Green GoTaq® Reaction Buffer (Promega, USA) 15 mM MgCl2, 1.25 U Taq DNA polymerase (Thermo Scientific, USA), 0.4 mM each of the dNTPs (NEB, USA), 10 μM forward, and reverse primers and 50 ng template DNA. The mixtures were prepared at 0°C and transferred to the thermal cycler. Amplification reactions of SSR loci were carried out in a Mastercycler nexus Gradient thermal cycler (Eppendorf, Germany), using a program consisting of an initial denaturation step of 3 min at 94°C fol­lowed by 35 cycles of 45 sec at 94°C, 1 min at 48-53°C and 1 min at 72°C; the program ended with an 8 min elongation step at 72°C. PCR products were stored at 4°C prior to analysis. PCR-products were electrophoresed on a 5% denaturing polyacrylamide gel containing 19:1 acrylamide: bis-acrylamide, 10X TBE buffer, 10% APS and ultrapureTemed. Electrophoresis was done using the Triple Wide Mini-Vertical Electrophoresis System, MGV-202-33 (CBS Scientific, USA). Run the gel at 80-90V and 20ºC temperature maintained by a cooling system (Julabo, Germany) upon loading of PCR products for a specified period of time depending on the size of amplified DNA fragment (usually 1 hour for 100 bp). After completion of electrophoresis, the gel was stained with Ethidium bromide and the individual bands were scored for analysis. SSR markers were scored as codominant, so homozygous and heterozygous genotypes could be distinguished in individual plants. The bands representing particular alleles at the microsatellite loci were scored manually and designated the bands as A, B, C, etc. from the top to the bottom of the gel. The genotypes of different individuals were hypothetically scored as AA, BB, CC, etc. for homozygous or as AB, AC, BC etc. for heterozygous. A single genotypic data matrix was constructed for all loci.  Statistics of genetic variation (number of observed and effective alleles, Nei’s gene diversity, Shannon’s information index, heterozygosity, and polymorphic) were calculated using allelic frequency estimates obtained from genotypic frequencies of SSR loci using the computer program POPGENE (Version 1.31) (Yeh et al., 1999). In addition, the Chi-square test (1:2:1) for Hardy–Weinberg equilibrium for each population was obtained for SSR alleles using this program. The microsatellite data matrix was used to calculate Nei’s distance (Nei 1972), and to generate the corresponding matrix of genetic distance estimates among accessions and cluster analyses were performed on the genetic distance matrix by using UPGMA method to determine the relationships among accessions (dendrograms) using POPGENE (Version 1.31) (Yeh et al., 1999). The polymorphism information content (PIC) of the SSR used or gene diversity value was calculated as PIC= 1- Σf2ij; where fij is the frequency of the ith allele for the jth SSR locus (Anderson et al. 1993). PIC values provided an estimate of the discriminatory power of any locus by considering the number of alleles per locus and the relative frequencies of those alleles in the population. The software DNA FRAG version 3.03 was used to estimate allelic length (Nash, 1991).

 

  Annual Research Report 2016--2017), Plant Genetic Resources Centre, BARI, Joydebpur, Gazipur
  
Funding Source:
1.   Budget:  
  

From these results, SSR markers can be used effectively to estimate genetic distances among genotypes. The mean genetic distance was 0.674 between Iranian cultivated melon (Raghami et al., 2014) and was 0.285 between Spanish melon, while in the present study, it varied from 0.000 to 2.300 with an average of 0.605. High genetic distance values between genotype pairs were found due to different genetic backgrounds while least/nil values indicated they are genetically more similar. This genetic distance shows the importance of Bangladeshi muskmelon cultivars for conservation and uses in breeding programs. There are 20 highest and lowest Nei’s genetic distance values (D) along with related genotypes can be seen. According to genetic distances UPGMA dendrogram which is built on SSR markers data and referring to dissimilarity coefficient among the genotypes, is distinguished into two major clusters, “A” and “B” in which 12 genotypes grouped in cluster “A” and other 84 genotypes grouped in Cluster “B”. Cluster “A” formed two sub-clusters “A1” and “A2”. Sub-cluster “A2” was subsequently separated into another two sub-clusters “A3”, “A4” respectively. Nevertheless, sub-cluster “B” is divided into 14 sub-clusters such as “B1” “B2” “B3” “B4” and so on. Upon subsequent separation, the highest genetic dissimilarity coefficient is shown between AHM-241and IAH-102 (GD=2.300) which is grouped in sub-cluster B14 and A3, respectively.  Subgroup B11 gathered 19 genotypes in which genotypes IAH-251 and IAH-259 comprise sharp similarity (GD =0.000) that makes one think of “synonymy phenomenon” it may be the same genotype but having undergone two different names depending on the collection area. The genotypes have a distinct status in the dendrogram because there might have an effect on morphological traits and geographical sources. 

Taken as a whole, the present study clearly shows that studied germplasm with this broad genetic diversity could play an important role in the preservation and enhancement of muskmelon genetic diversity. Inter-mating genotypes from the major distinct gene pools like AHM-241 vs IAH-102, AHM-203 vs IAH-09, AMA-87 vs IAH-08, AHM-203 vs IAH-05 could provide new genetic recombination to exploit in a variety of development programmes. The promising germplasm should be characterized with more loci and a set of least number of informative loci to be identified for variety identification.

  Report/Proceedings
  


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