scholarly journals Mapping QTLs controlling the biosynthesis of maltose in soybean

2021 ◽  
Vol 26 (5) ◽  
pp. 2936-2941
Author(s):  
PRIYAMVADA JHA ◽  
◽  
VINEET KUMAR ◽  
ANITA RANI ◽  
ANIL KUMAR
Keyword(s):  
Ssr Markers ◽  
Interval Mapping ◽  
Single Marker Analysis ◽  
F2 Population ◽  
Composite Interval Mapping Analysis ◽  
Mapping Analysis ◽  
Single Marker ◽  
Soybean Genotypes ◽  
Genomic Regions ◽  
Interval Mapping Analysis

The present study was carried out to identify genomic regions associated with maltose in 2 F2 populations through assessment of sugars using HPLC and genotyping using SSR markers across the genome. SSR markers, Sat_216 (chr 12) and Satt681 (chr 6) in F2 population I and Sat_105 (chr 20) in F2 population II showed significant (P< 0.5) association with maltose content through single marker analysis (SMA) with LOD score of 3.18 (R2 =9.7), 2.54 (R2 =6.8), and 3.54 (R2 =10.4), respectively. Composite interval mapping analysis (CIM) let to identify different QTLs (other than SMA) for maltose content on chr 11, chr 13 and chr 17 in F2 population I while chr 6 and chr15 in F2 population II. QTLs identified for maltose content are in proximity of known functional genes responsible for degradation of starch into maltose. QTLs identified for maltose in the study may be deployed for improving efficiency of marker assisted breeding for development of soybean genotypes with high levels of this sugar.

scholarly journals Validation of molecular marker associated with powdery mildew resistance in mungbean

2018 ◽  
Vol 78 (3) ◽  
Author(s):  
Sumangala Bhat ◽  
S. K. Pooja ◽  
A. P. Sarkale
Keyword(s):  
Powdery Mildew ◽  
Ssr Markers ◽  
Ssr Marker ◽  
Powdery Mildew Resistance ◽  
Phenotypic Variance ◽  
Single Marker Analysis ◽  
Mildew Resistance ◽  
F2 Population ◽  
Single Marker ◽  
Erysiphe Polygoni

Powdery mildew caused by Erysiphe polygoni, is one of the major diseases of mungbean (Vigna radiata L. Wilczek), causes yield loss up to 20-40%. The present investigation was undertaken to study the SSR markers associated with powdery mildew resistance in mungbean. The resistant line, TARM1 was crossed with highly susceptible, but popular variety DGGV2 and the F1s were selfed to obtain F2. F2 population was evaluated for response to PM under field conditions. Of the 64 SSR markers studied, only four were found to be polymorphic between two parents (TARM1 and DGGV2). Single marker analysis indicated that one SSR marker (MB-SSR238) showed association with powdery mildew resistance in mungbean, explaining the phenotypic variance of 11.64%.

scholarly journals Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Muralidhara Bharamappanavara ◽  
Anantha M. Siddaiah ◽  
Senguttuvel Ponnuvel ◽  
Lokesha Ramappa ◽  
Basavaraj Patil ◽  
...  
Keyword(s):  
Oryza Sativa L ◽  
Interval Mapping ◽  
Backcross Population ◽  
Major Qtls ◽  
Genome Wide ◽  
Composite Interval Mapping Analysis ◽  
Mapping Analysis ◽  
Additive Gene ◽  
Direct Seeded ◽  
Interval Mapping Analysis

AbstractTo improve grain yield under direct seeded and aerobic conditions, weed competitive ability of a rice genotype is a key desirable trait. Hence, understanding and dissecting weed competitive associated traits at both morphological and molecular level is important in developing weed competitive varieties. In the present investigation, the QTLs associated with weed competitive traits were identified in BC1F2:3 population derived from weed competitive accession of O. glaberrima (IRGC105187) and O. sativa cultivar IR64. The mapping population consisting of 144 segregating lines were phenotyped for 33 weed competitive associated traits under direct seeded condition. Genetic analysis of weed competitive traits carried out in BC1F2:3 population showed significant variation for the weed competitive traits and predominance of additive gene action. The population was genotyped with 81 genome wide SSR markers and a linkage map covering 1423 cM was constructed. Composite interval mapping analysis identified 72 QTLs linked to 33 weed competitive traits which were spread on the 11 chromosomes. Among 72 QTLs, 59 were found to be major QTLs (> 10% PVE). Of the 59 major QTLs, 38 had favourable allele contributed from the O. glaberrima parent. We also observed nine QTL hotspots for weed competitive traits (qWCA2a, qWCA2b, qWCA2c, qWCA3, qWCA5, qWCA7, qWCA8, qWCA9, and qWCA10) wherein several QTLs co-localised. Our study demonstrates O. glaberrima species as potential source for improvement for weed competitive traits in rice and identified QTLs hotspots associated with weed competitive traits.

scholarly journals Identification of QTLs associated with low chloride accumulation in oriental tobacco

Genetika ◽  
2013 ◽  
Vol 45 (3) ◽  
pp. 855-864
Author(s):  
Maleki Hatami ◽  
Ghasem Karimzadeh ◽  
Reza Darvishzadeh ◽  
Mohammad Naghavi ◽  
Ahmad Sarrafi
Keyword(s):  
Chloride Content ◽  
Interval Mapping ◽  
Inter Simple Sequence Repeat ◽  
Issr Markers ◽  
Single Marker Analysis ◽  
F2 Population ◽  
Marker Analysis ◽  
Single Marker ◽  
Chloride Accumulation ◽  
Chemical Traits

The construction of linkage maps and identification of genomic regions controlling traits have great significance for plant breeders. Among different chemical traits in oriental tobacco, chloride content in leaves when it is less than 1.5% improves burning quality. In this study, genetic analysis of quantitative trait loci affecting the chloride accumulation of oriental tobacco leaf was performed using an F2 population of a cross between two oriental tobacco genotypes, ?Basma Seres 31? and ?SPT 406?, comprising 100 individuals. A normal distribution was observed for the chloride accumulation in the F2 population. Linkage map with 23 informative microsatellite and 29 inter simple sequence repeat markers was constructed, which covered 570.8 cM of the tobacco genome. Single marker analysis, interval mapping and composite interval mapping were used to detect the putative QTLs controlling chloride accumulation. There was not any significant relation between ISSR markers and chloride accumulation. SSR marker PT30346 was found to be significantly associated with chloride accumulation through single marker analysis. Two QTLs including ChlIM and ChlCIM with R2 values of 0.4 and 0.07 were identified using IM and CIM, respectively.

Deploying inter-specific recombinant inbred lines to map QTLs for yield-related traits in soybean

2020 ◽  
Vol 79 (04) ◽  
Author(s):  
Yashpal . ◽  
D. R. Rathod ◽  
Subhash Chandra ◽  
Anil Kumar ◽  
Raju Ratan Yadav ◽  
...  
Keyword(s):  
Recombinant Inbred ◽  
Glycine Soja ◽  
Recombinant Inbred Lines ◽  
Interval Mapping ◽  
Inbred Lines ◽  
Wild Type ◽  
Single Marker Analysis ◽  
Phenotypic Data ◽  
Single Marker ◽  
Glycine Max L

Quantitative trait loci (QTL) mapping and analyses were conducted for yield and six yield-related traits in soybean using 184 inter-specific recombinant inbred lines (RILs) derived from a cross involving wild type (Glycine soja Sieb. and Zucc.) accession DC2008-1 and cultivated (Glycine max L. Merr.) variety DS9712. A Linkage map of 1639.55 cM length was constructed with 167 SSR markers (65.65% polymorphism) with an average marker interval of 9.82 cM. Using three years phenotypic data 34 QTLs were mapped for 7 traits using Inclusive Composite Interval Mapping approach. The number of QTLs mapped for a trait varied from year to year, however, QTLs for days-to-50% flowering (qDFF5), 100-seed weight (qHSW9-1, qHSW9-2 and qHSW19) and yield (qYLD17) were mapped consistently over the three years of testing. Identified QTLs were validated through single marker analysis in 92 germplasm lines. The study demonstrated the potential of wild type soybean to harness QTLs for yield-related traits. The identified QTLs could be utilized for genetic improvement of soybean through molecular breeding.

scholarly journals Detection of QTL associated with rust resistance using IBD-based methodologies in exogamic Eucalyptus spp. populations

2010 ◽  
Vol 10 (4) ◽  
pp. 321-328 ◽  
Author(s):  
Tatiana Barbosa Rosado ◽  
Rafael Simões Tomaz ◽  
Marcio Fernandes Ribeiro Junior ◽  
Antônio Marcos Rosado ◽  
Lúcio Mauro da Silva Guimarães ◽  
...  
Keyword(s):  
Rust Resistance ◽  
Control Method ◽  
Interval Mapping ◽  
Single Marker Analysis ◽  
Mapping Procedure ◽  
Integrated Map ◽  
Single Marker ◽  
Resistant Genotypes ◽  
Important Disease ◽  
Selection Of

In Brazil the rust caused by Puccinia psidii Winter stands out as the most important disease of eucalyptus. The use of resistant genotypes is the main control method, which makes the detection of markers linked to rust resistance essential to the selection of resistant genotypes. In this study, an F1 progeny of 131 plants from interspecific crossings of Eucalyptus was used to identify markers linked to resistance genes for this pathogen. An integrated map was constructed for linkage group three based on microsatellite markers. For QTL mapping two methodologies based on alleles identical-by-descent (IBD) were used: single marker analysis of Haseman and Elston and the interval mapping procedure of Fulker and Cardon. Both methods showed significant association for the Embra 125 marker.The QTL that explained 42 % of the phenotypic variation was mapped to 0.02 cM of this marker by the Fulker and Cardon. Marker Embra 125 has potential use in assisted selection, thus increasing the efficiency of the selection of resistant genotypes.

scholarly journals Identification of Putative Molecular Markers Associated with Nut Weight and Kernel Weight and Four Growth Traits in Cashew

2020 ◽  
pp. 262-274
Author(s):  
E. Eradasappa ◽  
G. S. Mohana ◽  
J. D. Adiga ◽  
Siddanna Savadi
Keyword(s):  
Molecular Markers ◽  
Ssr Markers ◽  
Growth Traits ◽  
Tree Height ◽  
Kernel Weight ◽  
Growth And Yield ◽  
Phenotypic Variance ◽  
Single Marker Analysis ◽  
Marker Analysis ◽  
Single Marker

Aim: To identify putative molecular markers linked to some useful traits in cashew using SSR markers in the F1 population. Place and Duration of the Study: Study conducted at ICAR-Directorate of Cashew Research, Puttur, Karnataka, India during 2013-17. Methodology: Population for the study comprised of 83 F1 plants developed through crossing tall variety Ullal-3 as female parent with dwarf accession NRC-492 as male parent which was planted in the field at 6m x 6m spacing during the year 2009. It was phenotyped along with parents during the year 2017 for the 13 growth and yield related traits and genotyped using 32 polymorphic SSR markers from cashew, almond, pistachio and mango. Single marker analysis was deployed to identify the markers linked to traits by SPSS software. Results: results revealed three markers such as AL 29, IM 31 and IM 28 to be significantly associated with some traits. Marker AL 29 from Almond species was linked to traits stem girth, nut weight and kernel weight with an explained phenotypic variance of 7.9%, 5.6% and 5.4%, respectively. Marker IM 31 from mango species was associated with stem girth, kernel weight, tree height, mean tree spread, nut weight and presented phenotypic variance of 17.6%, 5.7%, 8.2%, 4.5, 4.2% in that order. While the marker IM 28 from mango species showed linked with stem girth and intermodal length with phenotypic variance of 7.6%, 7.5%, 10.4% correspondingly. Conclusion: The present study has identified three markers AL 29  (from Almond) , IM 28 and IM  31 (from Mango) linked to six traits viz., stem girth, tree height, mean tree spread, intermodal length, nut weight and kernel weight with the limited polymorphic markers using Single Marker Analysis. However, further studies are aimed to validate the linked markers prior to using them in marker assisted selection in cashew.

Single Marker Analysis in Groundnut for Tolerance to in vitro Seed Colonization by Aspergillus flavus and Aflatoxin Contamination

2020 ◽  
Author(s):  
Hasanali Nadaf ◽  
B.N. Harish Babu ◽  
G. Chandrashekhara ◽  
D.L. Savithramma ◽  
Manjunath K. Naik
Keyword(s):  
Ssr Markers ◽  
Aspergillus Flavus ◽  
Phenotypic Variation ◽  
Aflatoxin Contamination ◽  
Health Concern ◽  
Single Marker Analysis ◽  
Marker Analysis ◽  
Single Marker ◽  
Seed Colonization

Background: Aflatoxin contamination in groundnut is a serious health concern for both humans and ruminants. Genetic resistance is a viable, cost-effective and eco-friendly approach to manage aflatoxin contamination. Molecular markers particularly SSRs have been proved to be very effective in Marker Assisted Selection.Methods: In this study, single marker analysis using 30 SSR markers in 66 groundnut genotypes was executed to know if any selected SSRs were linked to in vitro seed colonization by Aspergillus flavus (IVSCAF) and/or aflatoxin contamination.Result: Single marker analysis revealed significant association of few SSR markers with tolerance to IVSCAF and/or aflatoxin contamination. Four markers viz., GM-1954, GM-1883, pPGPseq-2F05 and S-03 were found to be associated with in vitro seed colonization by A. flavus. The marker GM-1954 has shown a maximum R2 value of 14.07 indicating that 14.07 per cent phenotypic variation for IVSCAF has been explained by this marker (F=0.002**). Further, three markers viz., S-21, S-80 and GM-1954 were found to be associated with tolerance to aflatoxin contamination. It is evident from the results that, the marker GM 1954 has shown association with both IVSCAF as well as aflatoxin contamination. However, the R2 value of GM 1954, which explains the phenotypic variation for aflatoxin contamination, was less (6.21) as compared to that of IVSCAF (14.07).

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