Genetic analysis and marker assisted backcrossing for transfer of mosaic virus resistance in cowpea [Vigna unguiculata (L.) Walp.]

Author(s):  
H. B. Dinesh ◽  
H. C. Lohithaswa ◽  
K. P. Viswanatha ◽  
L. Manjunatha ◽  
D. S. Ambika ◽  
...  

Cowpea mosaic virus (CpMV) is known to cause yield loss of as much as 80-100 per cent. Among different approaches available in the management of this disease development and release of resistant varieties is the most viable option for farmers. Hence an investigation was carried out to study the inheritance of resistance to cowpea mosaic virus (CpMV) and to identify DNA markers linked to genomic regions conferring resistance to CpMV. The resistance was found to be governed by single recessive gene in the 191 F2:3 progenies derived from the cross C-152 (susceptible) × V-57817 (resistant). Single marker analysis with 191 F2 individuals and 106 polymorphic SSR markers indicated that two markers, MA15 and MA80 were linked to CpMV resistance as evidenced by significant mean sum of squares due to between marker classes and putative linkage of these markers for resistance to CpMV was confirmed by bulked segregant analysis. Through linkage map constructed utilizing 91 polymorphic SSR markers it was possible for us to show that the two markers MA15 and MA80 were included in the linkage group 6 and the marker gene was likely to be present between these markers. Marker assisted backcrossing was practiced to transfer resistance gene in to an agronomically superior variety C-152.

Author(s):  
N. Manjunatha ◽  
K. T. Rangaswamy ◽  
R. P. Sah ◽  
N. Nagaraju ◽  
P. Rudraswamy

One hundred cowpea genotypes were screened against Bean common mosaic virus (BCMV) by artificial inoculation genotypes. The genotypes showed different disease reaction viz., immune, resistant, moderately resistant, Sap moderately susceptible, susceptible and highly susceptible. The SSR markers were characterized using a total of 25 randomly selected resistance and susceptible cowpea genotypes. Among, 10 SSR markers used to screen polymorphism, only 4 primers were found to be polymorphic and they were used for characterization and finding out genetic relationship of cowpea genotypes. The polymorphism information content (PIC) of these SSR markers ranged from 0.23 to 0.37 and single marker analysis (SMA) revealed, out of these 4 SSR markers M 135 marker explained 28.2 % of phenotypic variation (R2). The banding pattern of all cowpea genotypes were scored and dendrogram was constructed. A dendrogram of these genotypes based on SSR polymorphism divided into two major clusters at 35 % similarity. Cluster I was the biggest with 20 genotypes which was further separated as three sub-clusters. Whereas, 5 genotypes grouped in cluster II with two small sub-clusters. The clustering pattern of resistant and susceptible genotypes was not clear, however resistant genotypes such as V-5 and IC 8996 clustered in one group with 100 % similarity. The information provided by the identified markers would be very useful in breeding programs to select cowpea lines resistance to BCMV disease and M 135 was found to be good for rapid and accurate screening of cowpea genotypes against BCMV disease resistance.


Author(s):  
E. Eradasappa ◽  
G. S. Mohana ◽  
J. D. Adiga ◽  
Siddanna Savadi

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.


2020 ◽  
Vol 18 (2) ◽  
pp. 63-70
Author(s):  
V. Sreenivasa ◽  
S. K. Lal ◽  
P. Kiran Babu ◽  
H. K. Mahadeva Swamy ◽  
Raju R. Yadav ◽  
...  

AbstractOccurrence of drought under rainfed conditions is the foremost factor responsible for yield reduction in soybean. Developing soybean cultivars with an inherent ability to withstand drought would immensely benefit the soybean production in rainfed areas. In the present study, F2 derived mapping populations were developed by crossing drought tolerant (PK 1180, SL 46) and susceptible (UPSL 298, PK 1169) genotypes to investigate the inheritance of seedling survival drought mechanisms and to identify simple-sequence repeat (SSR) markers associated with them, using bulked segregant analysis. Parents as well as a F2 derived mapping population were screened for drought tolerance based on seedling survivability under controlled conditions. Segregation analysis of F2 population derived from a cross between PK 1180 × UPSL 298 was previously shown to have a 3:1 tolerant to susceptible ratio and a probability of 0.61 at a χ2(3:1) value of 0.258. This was confirmed in another F2 population derived from a cross between PK 1169 × SL 46 with a χ2(3:1) value of 0.145 obtained at a probability of 0.70. One SSR marker Satt277 showed polymorphism between contracting bulks (tolerant and susceptible) out of 50 polymorphic markers identified during parental polymorphism. Single marker analysis suggested that the marker, Satt277 is linked to seedling survival drought tolerance and is located on chromosome linkage group C2 (chr 6) with a map distance of 3.40 cM. The tolerant genotypes identified could be used as a donor in soybean improvement programs. The marker identified can be used in marker-assisted selection while screening large collection of germplasm.


2021 ◽  
Vol 26 (5) ◽  
pp. 2936-2941
Author(s):  
PRIYAMVADA JHA ◽  
◽  
VINEET KUMAR ◽  
ANITA RANI ◽  
ANIL KUMAR

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.


Author(s):  
Hasanali Nadaf ◽  
B.N. Harish Babu ◽  
G. Chandrashekhara ◽  
D.L. Savithramma ◽  
Manjunath K. Naik

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).


Author(s):  
Sumangala Bhat ◽  
S. K. Pooja ◽  
A. P. Sarkale

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%.


2016 ◽  
Vol 39 (1) ◽  
Author(s):  
M. S. Uma ◽  
Niranjan Hegde ◽  
Shailaja Hittalmani

Bulked segregant analysis was undertaken to tag gene(s) controlling rust resistance using molecular markers in cowpea, to permit rapid selection of superior desirable rust resistant genotypes in the breeding program. For this purpose, the C-152, cultivated variety with high yielding, semi determinate plant type, good protein content and highly rust susceptible was crossed with genotype IC202778, the landrace from Himachal Pradesh, India having determinate, semi spreading and rust resistant characters. The parental genotypes were analyzed with 92 SSR markers for detection of polymorphism and only 13 markers showed polymorphism between the parents. Using each of these 13 SSR primers, we carried out bulked segregate analysis on F<sub>2</sub> plants representing two extremes of rust disease resistance and susceptible trait. Three SSR markers VuUGM02, VuUGM08 and VuUGM19 were found to be associated with rust resistance. This was further confirmed through selective genotyping. The co-segregation data on these molecular markers and rust resistance on F<sub>2</sub> plants were analysed by means of single-marker linear regression approach. Significant regression suggested linkage between VuUGM02 and rust resistance gene.


2017 ◽  
Vol 45 (1) ◽  
pp. 79-85
Author(s):  
Dwi Yono ◽  
Yudiwanti Wahyu ◽  
Sobir , ◽  
Dan Nurita Toruan-Mathius

Oil palm is a perennial oil crop that contribute the most important source of vegetable oil in the world. Oil palm breeding cycle take a long period, therefore molecular marker-assisted selection (MAS) is required to shorten the selection time. This MAS require the associated marker to desired trait, particularly for yield and the component that as a complex trait and depend on genetic background. The aim of this study was to obtain SSR marker that associated with average of bunch weight (ABW). Plant material was used in this study is Tenera population derived from Deli Dura x AVROS Pisifera. Seven SSR markers from public database were associated to ABW trait. Molecular data analysed for SSR markers profile which consisted of allelic diversity, heterozygosity level, and polymorphism information content (PIC). Association between SSR markers to ABW traits was performed with single marker analysis using one way analysis of variance. The results showed that SSR markers were able to amplify DNA with two to three number of alleles with the average of 2.3 alleles per locus. ABW trait for this population was significantly associated with mEgCIR3428 marker. This marker may be used in the selection of Deli Dura and AVROS Pisifera palm on the next selection cycle.Keywords: Average of bunch weight, AVROS Pisifera, Deli Dura, single marker analysis


2020 ◽  
Vol 80 (01) ◽  
Author(s):  
M. Raveendran ◽  
R. Valarmathi

Lutein is one of the major carotenoids in eye macula and its deficiency is attributed to age-related macular degeneration (AMD) and cataracts. Developing Lutein rich staple food crop will help in supplementing its requirement among rural people through regular diet. The present study was undertaken with a view to tag genetic loci controlling lutein accumulation in rice through Bulked Segregant Analysis (BSA). Estimation of lutein content in the dehusked grains of selected 65 RILs revealed the normal distribution (1.14-285.62 μg/100gm) of lutein accumulation with a significance of p LESS THAN 0.041. Parental polymorphism survey using > 350 genome wide SSR markers detected 30.8% (108 SSR markers) polymorphism between Kavuni and CO 50 rice genotypes. BSA of extreme bulks containing contrasting levels of lutein along with the parents using the genome wide polymorphic SSR markers resulted in the identification of four SSR markers namely RM197 (3.0 Mb), RM204 (3.1 Mb), RM225 (3.4 Mb) and RM19442 (3.7Mb) on chromosome 6 showing clear association with the lutein content. Single-marker linear regression approach using the allelic pattern of all four markers in the region 3.0-3.7Mb showed significant association with lutein content. The regression analysis showed that the SSR markers in the region 3.0-3.7Mb linked QTL accounted for 35.9% of the genetic variation for lutein content.


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