scholarly journals DNA fingerprinting and genetic diversities in some Bangladeshi aus rice (Oryza sativa L.) genotypes

2017 ◽  
Vol 15 (1) ◽  
pp. 123-137 ◽  
Author(s):  
MM Islam ◽  
HA Begum ◽  
MS Ali ◽  
M Kamruzzaman ◽  
S Hoque ◽  
...  
Keyword(s):  
Genetic Distance ◽  
Dna Fingerprinting ◽  
Ssr Markers ◽  
Oryza Sativa L ◽  
Polymorphic Information Content ◽  
Crop Improvement ◽  
Allelic Diversity ◽  
Breeding Programs ◽  
Chord Distance ◽  
Genetic Dissimilarity

The allelic diversity and relationship among 120 Aus rice landraces were determined through DNA fingerprinting using microsatellite (SSR) markers. A total of 85 SSR markers were used to characterize and discriminate all tested Aus rice genotypes, 45 of which were polymorphic for different chromosome numbers. The number of alleles per locus varied from 6 alleles (RM484 and RM541) to 30 alleles (RM519) with an average of 13 alleles per locus. The polymorphic information content (PIC) values varied ranged from 0.5211 (RM536) to 0.9369 (RM519) with an average 0.8217. The highest PIC value (0.9369) was obtained for RM519 followed by RM286 (0.9357). The genetic distance-based results seen in the unrooted neighbor-joining tree clustering revealed nine genetic groups. Being grouped into distant clusters and with highest genetic distance, eleven genotypes viz., Atithi dhan, Kadar chap, Pankiraj, Japanese-7, Jamri saity, Logi jota, Joba, Lada moni, Manik Mondal-2, Boilum and Brmulka-2 could be selected as potential parents for crop improvement for their distinctive characters. Panchash and Parija had closest distance in the SSR based CS-Chord distance (0.000) might have same genetic background. The highest genetic dissimilarity (1.000) was found among the nineteen Aus genotypes combinations followed by the second highest (0.9778) among 94 Aus rice combinations. Whereas lowest genetic dissimilarity was found between Kala and Kalo Hizli (0.1778) followed by Holat and Holae (0.2667). This information will be useful in the selection of diverse parents, background selection during backcross breeding programs and assist in broadening germplasm-based rice breeding programs in the near future.SAARC J. Agri., 15(1): 123-137 (2017)

scholarly journals DNA Fingerprinting and Genetic Diversity in Aus Rice (Oryza sativa L.) Landraces of Bangladesh

2018 ◽  
Vol 21 (1) ◽  
pp. 59-65
Author(s):  
MA Siddique ◽  
M Khalequzzaman ◽  
K Fatema ◽  
MZ Islam ◽  
MHK Baktiar ◽  
...  
Keyword(s):  
Genetic Distance ◽  
Dna Fingerprinting ◽  
Ssr Markers ◽  
Oryza Sativa L ◽  
Polymorphic Information Content ◽  
Allelic Diversity ◽  
Rice Landraces ◽  
Genetic Groups ◽  
Improvement Programme ◽  
Genetic Coefficient

The allelic diversity and relationships among 48 Aus rice landraces were determined through DNA fingerprinting using microsatellite (SSR) markers. A total of 14 SSR markers for different chromosomes were used to characterize and differentiate the studied rice genotypes. The number of alleles per locus varied from three alleles (RM118) to 18 alleles (RM44) with an average of 9.88. The polymorphic information content (PIC) varied widely among the loci and ranged from 0.3725 (RM107) to 0.9146 (RM519) with an average of 0.7248. The genetic distance-based results found in the UPGMA clustering system revealed six genetic groups with a similarity coefficient of 0.35. Chakila and Shitki saitta had closest distance in the SSR based genetic distance might have same genetic background. Based on genetic coefficient, the diverse landraces Kasalot, Balam, Pankhiraj, Dular, Hashikalmi, Galong, Panbira, Marichbati, Pidi and Surjomoni could be selected as potential parents for varietal improvement programme. The findings of this study should be useful for varietal identification and could be useful for plant breeders in selecting suitable genetically diverse parents for the crossing programmeBangladesh Rice j. 2017, 21(1): 59-65

scholarly journals Optimal use of SSR markers for varietal identification of upland cotton

2015 ◽  
Vol 50 (7) ◽  
pp. 571-581 ◽  
Author(s):  
Guilherme da Silva Pereira ◽  
Ana Luíza Ramos Cazé ◽  
Michelle Garcia da Silva ◽  
Vanessa Cavalcante Almeida ◽  
Fernanda Oliveira da Cunha Magalhães ◽  
...  
Keyword(s):  
Genetic Distance ◽  
Ssr Markers ◽  
Polymorphic Information Content ◽  
Group Method ◽  
Discrimination Power ◽  
Arithmetic Average ◽  
Pair Group ◽  
Varietal Identification ◽  
The World ◽  
The Mean

Abstract: The objective of this work was to identify polymorphic simple sequence repeat (SSR) markers for varietal identification of cotton and evaluation of the genetic distance among the varieties. Initially, 92 SSR markers were genotyped in 20 Brazilian cotton cultivars. Of this total, 38 loci were polymorphic, two of which were amplified by one primer pair; the mean number of alleles per locus was 2.2. The values of polymorphic information content (PIC) and discrimination power (DP) were, on average, 0.374 and 0.433, respectively. The mean genetic distance was 0.397 (minimum of 0.092 and maximum of 0.641). A panel of 96 varieties originating from different regions of the world was assessed by 21 polymorphic loci derived from 17 selected primer pairs. Among these varieties, the mean genetic distance was 0.387 (minimum of 0 and maximum of 0.786). The dendrograms generated by the unweighted pair group method with arithmetic average (UPGMA) did not reflect the regions of Brazil (20 genotypes) or around the world (96 genotypes), where the varieties or lines were selected. Bootstrap resampling shows that genotype identification is viable with 19 loci. The polymorphic markers evaluated are useful to perform varietal identification in a large panel of cotton varieties and may be applied in studies of the species diversity.

scholarly journals Molecular characterization of wheat (Triticum aestivum L.) genotypes through SSR markers

2012 ◽  
Vol 37 (3) ◽  
pp. 389-398 ◽  
Author(s):  
S Islam ◽  
MS Haque ◽  
RM Emon ◽  
MM Islam ◽  
SN Begum
Keyword(s):  
Genetic Diversity ◽  
Triticum Aestivum ◽  
Genetic Distance ◽  
Microsatellite Markers ◽  
Gene Diversity ◽  
Polymorphic Information Content ◽  
Allelic Diversity ◽  
Triticum Aestivum L ◽  
Allele Number ◽  
Average Gene

A study was undertaken to examine the genetic diversity of 12 wheat (Triticum aestivum L.) genotypes, using 4 simple sequence repeats (SSRs). A total of 10 alleles were found. Allele number per locus ranged from 2 to 4 with an average of 2.5. The polymorphic information content (PIC) values ranged from 0.2755 to 0.5411 with an average of 0.3839. The average gene diversity over all SSR loci for the 12 wheat genotypes was 0.4688, ranging from 0.3299 to 0.6042. Cluster analysis based on microsatellite allelic diversity discriminated the varieties into different clusters. Genetic diversity was the highest between variety Gourab and Akbar as well as Gourab and BAW-1064, showing a genetic distance value of 0.4697. The genetic distance was lowest between Balaka and Aghrani as well as Triticale and BAW-1036. Positive correlations were found between gene diversity, number of alleles, the allele size range and the types of repeat motif of microsatellite markers. It was found from this study that microsatellite markers could characterize and discriminate all of the genotypes. More primers should be used for saturation of different regions in further studies. Bangladesh J. Agril. Res. 37(3): 389-398, September 2012 DOI: http://dx.doi.org/10.3329/bjar.v37i3.12082

Potential of SSR markers for plant breeding and variety identification in Australian barley germplasm

2003 ◽  
Vol 54 (12) ◽  
pp. 1197 ◽  
Author(s):  
A. Karakousis ◽  
A. R. Barr ◽  
K. J. Chalmers ◽  
G. A. Ablett ◽  
T. A. Holton ◽  
...  
Keyword(s):  
Ssr Markers ◽  
Polymorphic Information Content ◽  
Strong Association ◽  
Variety Identification ◽  
Improvement Program ◽  
Breeding Programs ◽  
Partial Correlations ◽  
Trait Locus ◽  
Barley Germplasm ◽  
Barley Genotypes

SSR markers closely linked to 18 loci that control 16 important barley traits were assessed for their applicability in Australian barley breeding programs. A panel of 40 genotypes routinely used by the South Australian Barley Improvement Program (SABIP) was used to examine the usefulness of these SSR markers for marker assisted selection (MAS). The success of monitoring a trait locus from donor to recipient lines ranged from 10 to 98%, depending on the marker. SSRs with a high polymorphic information content (PIC) value were found to be the most useful for application in MAS. The assessment also indicated that SSRs derived from genomic sequences were more successful for MAS than those designed from expressed sequence tags. A total of 130 SSR markers were screened among 2 panels of Australian barley genotypes to determine which markers would be the most useful for discriminating Australian germplasm. PIC values generated by this screening were also compared with those generated using a panel of European barley genotypes. Using ordinary correlations (parametric), rank correlations (non-parametric), and partial correlations (multi-variate), a strong association was found between the 2 Australian panels, but no or weak correlation was observed between the 2 Australian panels and the European dataset. It can therefore be concluded that PIC values generated by SSR markers screened with European genotypes cannot be used to predict the usefulness of an SSR marker for discriminating Australian genotypes. From PIC values generated in this study, 36 SSR markers have been selected for the discrimination of Australian genotypes. These markers all show high and/or consistent PIC values among Australian and European barley genotypes.

scholarly journals Genetic diversity assessment of Rice (Oryza sativa L.) germplasm using ssr markers

2015 ◽  
Vol 1 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Ahasanul Hoque ◽  
Shamsun Nahar Begum ◽  
Lutful Hassan
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Oryza Sativa L ◽  
Growth Duration ◽  
Breeding Programs ◽  
Diversity Assessment ◽  
Days To Heading ◽  
Early Maturing ◽  
Rice Genotypes ◽  
Selection Of

Diversity at molecular level among thirty rice genotypes, selected based on earliness and morphometric diversity was evaluated through five SSR markers associated with days to heading. Three primers viz., RM147, RM167 and RM215 showed polymorphism for growth duration related traits. A total of 17 alleles were detected among the 30 rice genotypes with an average of 5.66 alleles per locus. Polymorphism Information Content (PIC) ranged from 0.356 to 0.798 with an average of 0.543. A dendrogram based on total microsatellite polymorphism grouped 30 genotypes into four major clusters at 0.39 similarity coefficient differentiating early maturing genotypes from others. This information about the genetic diversity will be very useful for proper identification and selection of appropriate parents for future breeding programs, including gene mapping. The results also showed that microsatellite markers associated to genes or QTLs controlling growth duration properties are suitable tools for marker assisted selection (MAS) to select rice lines with short growth duration. DOI: http://dx.doi.org/10.3329/ralf.v1i1.22354 Res. Agric., Livest. Fish.1(1): 37-46, Dec 2014

scholarly journals Comparative Rice Bran Metabolomics across Diverse Cultivars and Functional Rice Gene-Bran Metabolite Relationships

2018 ◽  
Author(s):  
Iman Zarei ◽  
Emily Luna ◽  
Jan E. Leach ◽  
Anna McClung ◽  
Samuel Vilchez ◽  
...  
Keyword(s):  
Human Health ◽  
Rice Bran ◽  
Oryza Sativa L ◽  
Crop Improvement ◽  
Targeted Metabolomics ◽  
Rice Gene ◽  
Breeding Programs ◽  
Network Database ◽  
Cultivar Variation ◽  
Gamma Tocotrienol

Rice (Oryza sativa L.) processing yields ~60 million metric tons of bran annually. Rice genes producing bran metabolites of nutritional and human health importance were assessed across 17 diverse cultivars from seven countries using non-targeted metabolomics and resulted in 378-430 metabolites. Gambiaka cultivar had the highest number and Njavara had the lowest number of metabolites. The 71 rice bran compounds of significant variation by cultivar included 21 amino acids, seven carbohydrates, two metabolites from cofactors and vitamins, 33 lipids, six nucleotides, and two secondary metabolites. Tryptophan, -ketoglutarate, γ-tocopherol/β-tocopherol and γ-tocotrienol are example bran metabolites with extensive cultivar variation and genetic information. 34 rice bran components that varied between cultivars linked to 535 putative biosynthetic genes using to the OryzaCyc 4.0, Plant Metabolic Network database. Rice genes responsible for bran composition with animal and human health importance is available for rice breeding programs to utilize in crop improvement.

scholarly journals GENETIC DIVERSITY OF UPLAND RICE LANDRACES FROM JAVA ISLAND AS REVEALED BY SSR MARKERS

2015 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Sutoro Sutoro ◽  
Puji Lestari ◽  
Hakim Kurniawan
Keyword(s):  
Genetic Diversity ◽  
Genetic Distance ◽  
Ssr Markers ◽  
Upland Rice ◽  
Diversity Index ◽  
Crop Improvement ◽  
Conservation Strategy ◽  
Genetic Diversity Index ◽  
Rice Landraces ◽  
Glutinous Rice

Java Island is one of origins of a large number of indigenous upland rice accessions, which may serve as valuable plant genetic resources for future crop improvement in Indonesia. However, these landraces especially non-glutinous and glutinous rice are rapidly being lost because of land-use, agricultural practices and other factors. A better understanding of genetic diversity of local upland rice is important for crop improvement program, crop management and conservation strategy. This study aimed to evaluate the genetic diversity of upland rice landraces originating from Java Island. A total of 82 upland rice accessions comprising of 55 non-glutinous rice and 27 glutinous type were genotyped using the 16 simple sequence repeat (SSR) markers. The result showed that a total of 74 alleles were found with major allele frequency found on RM431 (0.96). Most of the SSR markers (56.3%) showed high discriminating power as represented by polymorphic informa-tion content (PIC) value higher than 0.5. A moderate genetic diversity index was detected in all landraces, which was 0.55. Genetic diversity index of non-glutinous and glutinous rice were 0.54 and 0.53, respectively. Their genetic distance was about 0.057. The phylogenetic tree generated two main clusters that demonstrated discrimination among landraces according to the individual genetic properties rather than their geographical origins and grain types (non-glutinous and glutinous type). The levels of genetic diversity were varied across rice types and geographical origins. According to the regions, the closest genetic distance was found between upland rice landraces from Central Java and West Java (0.040). The information derived from this study is important, in combination with phenotypic data, to identify desired useful traits came from different origins of the gene pool to be used for breeding purposes.

scholarly journals Genetic diversity among tropical maize inbred lines as revealed by SSR markers

2020 ◽  
pp. 2010-2019
Author(s):  
Maizura Abu Sin ◽  
Ghizan Saleh ◽  
Nur Ashikin Psyquay Abdullah ◽  
Pedram Kashiani
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Gene Diversity ◽  
Polymorphic Information Content ◽  
Similarity Index ◽  
Inbred Lines ◽  
Hybrid Breeding ◽  
Heterotic Groups ◽  
Breeding Programs ◽  
Maize Inbred Lines

Genetic diversity and phenotypic superiority are important attributes of parental inbred lines for use in hybrid breeding programs. In this study, genetic diversity among 30 maize (Zea mays L.) inbred lines comprising of 28 introductions from the International Maize and Wheat Improvement Center (CIMMYT), one from Indonesia and a locally developed, were evaluated using 100 simple sequence repeat (SSR) markers, as early screening for potential parents of hybrid varieties. All markers were polymorphic, with a total of 550 unique alleles detected on the 100 loci from the 30 inbred lines. Allelic richness ranged from 2 to 13 per locus, with an average of 5.50 alleles (na). Number of effective alleles (ne) was 3.75 per locus, indicating their high effectiveness in revealing diversity among inbred lines. Average polymorphic information content (PIC) was 0.624, with values ranging from 0.178 to 0.874, indicating high informativeness of the markers. High gene diversity was observed on Chromosomes 8 and 4, with high number of effective alleles, indicating their potential usefulness for QTL analysis. The UPGMA dendrogram constructed identified four heterotic groups within a similarity index of 0.350, indicating that these markers were able to group the inbred lines. The three-dimensional PCoA plot also supports the dendrogram grouping, indicating that these two methods complement each other. Inbred lines in different heterotic groups have originated from different backgrounds and population sources. Information on genetic diversity among the maize inbred lines are useful in developing strategies exploiting heterosis in breeding programs

Identification of Highly Polymorphic Molecular Markers and Potential Genotypes for Harnessing Chickpea Breeding Strategies

2020 ◽  
Author(s):  
Rajendra Kumar ◽  
Ashwani Kumar ◽  
Ashwani Yadav ◽  
Renu Yadav ◽  
J. P. Misra ◽  
...  
Keyword(s):  
Morphological Traits ◽  
Andhra Pradesh ◽  
Quantitative Traits ◽  
Crop Improvement ◽  
Allelic Diversity ◽  
Allele Mining ◽  
Efficient Utilization ◽  
Breeding Programs ◽  
Polymorphic Microsatellite ◽  
Stms Markers

Background: STMS markers and morphological traits were used to investigate the genetic relationship and allelic diversity in chickpea. In this study, we focused on the selection and more efficient utilization of core germplasm in breeding programs for chickpea crop improvement using STMS and quantitative / morphological traits. Methods: Seeds of elite accessions of chickpea were obtained from ICRISAT, Patancheru, Andhra Pradesh, India. 50 STMS markers and 11 quantitative traits were used for exploring the genetic variability and relationship in 35 chickpea accessions. Result: A total of 97 alleles were produced out of the 32 polymorphic STMS loci with an average of 3.03 alleles per locus ranging between 2-6 alleles per primer. The PIC value ranged from 0.029 to 0.768 with an average of 0.502. PIC value showed a highly positive correlation (r = 0.718) with number of alleles at the STMS loci. In both molecular and morphological markers / traits-based clustering, out of 35 chickpea accessions only one accession ICC-13892 was isolated at the end of clustering. The results indicated that highly polymorphic microsatellite markers NCPGR 68, NCPGR 50, NCPGR 81, NCPGR 48 and NCPGR 77 along with the accessions ICC-13892 having distant associations with ICC-13816, ICC-15697, ICC-15610, ICC-15868, ICC-15888, ICC-15996 with novel findings should be useful resources for strategies of allele mining, association genetics, mapping and cloning of gene(s) and in applied breeding to broaden the genetic base of chickpea.

scholarly journals SSR allelic diversity in relation to morphological traits and resistance to grain mould in sorghum

2010 ◽  
Vol 61 (3) ◽  
pp. 230 ◽  
Author(s):  
Rajan Sharma ◽  
S. P. Deshpande ◽  
S. Senthilvel ◽  
V. P. Rao ◽  
V. Rajaram ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Ssr Markers ◽  
Morphological Traits ◽  
Ssr Marker ◽  
Allelic Variation ◽  
Gene Diversity ◽  
Polymorphic Information Content ◽  
Allelic Diversity ◽  
Average Score ◽  
Marker Loci

Allelic variation at 46 simple sequence repeat (SSR) marker loci well distributed across the sorghum genome was used to assess genetic diversity among 92 sorghum lines, 74 resistant and 18 susceptible to grain mould. Of the 46 SSR markers, 44 were polymorphic, with the number of alleles ranging from 2 to 20 with an average of 7.55 alleles per locus. Genetic diversity among the sorghum lines was high as indicated by polymorphic information content (PIC) and gene diversity values. PIC values of polymorphic SSR markers ranged from 0.16 to 0.90, with an average of 0.54. Gene diversity among the sorghum lines varied from 0.16 to 0.91, with an average score of 0.58 per SSR marker. AMOVA indicated that 12% of the total variation observed among the sorghum lines was accounted for between grain mould resistant and susceptible types. Diversity based on six morphological traits and grain mould scores indicated major roles of panicle type and glumes coverage, followed by grain colour, in clustering of the lines. Seven grain mould resistant/susceptible pairs with dissimilarity indices >0.50, but with similar flowering time, plant height, and panicle type/inflorescence within each pair, were selected for use in developing recombinant inbred line mapping populations to identify genomic regions (and quantitative trait loci) associated with sorghum grain mould resistance.

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