Legume Research

  • Chief EditorJ. S. Sandhu

  • Print ISSN 0250-5371

  • Online ISSN 0976-0571

  • NAAS Rating 6.80

  • SJR 0.391

  • Impact Factor 0.8 (2023)

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Legume Research, volume 45 issue 3 (march 2022) : 305-310

 ​​Identification of Groundnut Germplasm Lines for Foliar Disease Resistance and High Oleic Traits using SNP and Gene-based Markers and Their Morphological Characterization

Anushree Pramanik1, Sushma Tiwari1,*, M.K. Tripathi1, Sushmita Mandloi1, R.S. Tomar2
1Department of Plant Molecular Biology and Biotechnology, College of Agriculture, Rajmata Vijayraje Scindia Krishi Vishwavidyalaya, Gwalior-474 002, Madhya Pradesh, India.
2Rani Laxmi Bai Central Agricultural University, Jhansi-284 003, Uttar Pradesh, India.
  • Submitted19-05-2021|

  • Accepted12-07-2021|

  • First Online 07-08-2021|

  • doi 10.18805/LR-4666

Cite article:- Pramanik Anushree, Tiwari Sushma, Tripathi M.K., Mandloi Sushmita, Tomar R.S. (2022). ​​Identification of Groundnut Germplasm Lines for Foliar Disease Resistance and High Oleic Traits using SNP and Gene-based Markers and Their Morphological Characterization . Legume Research. 45(3): 305-310. doi: 10.18805/LR-4666.
Background: Resistance to foliar fungal diseases along with oleic acid trait, are important objectives of groundnut breeding. Among foliar fungal diseases, rust and Late Leaf Spot (LLS) cause significant economic loss and high oleic trait is preferred in industry that enhances economic values of crop.

Methods: Morphological characterization of the 186-groundnut germplasm lines/genotypes for ten yield attributing traits and their significance of correlation was analyzed using SPSS ver. 19 software at 1% and 5% probability level of significance. Screening for LLS and rust diseases was done employing 10X SNP assay at ICRISAT, Hyderabad, India. Selected superior groundnut germplasm line(s) were screened for presence of FAD2B allele responsible for high oleic acid traits using allele specific marker. 

Result: Significant and positive correlation was found between dry weight and hundred pod weight (r=0.0.801) and harvest index (r=0.0.830). Molecular characterization along with morphological characterization identified highly diversified lines of groundnut. This study reports 78 foliar fungal disease resistant groundnut germplasm lines. Selected 11 groundnut germplasm lines represented resistance against LLS and rust diseases along with FAD2B allele for oleic acid trait.
Groundnut (Arachis hypogaea L.) is an important self-pollinated oilseed crop grown in more than 100 countries on about 26.5 million ha with total production of 43.9 million tons. India is second largest producer of groundnut and its oil after China followed by USA and Nigeria. India ranks first with an area of 5.30 Mha and second in production with 9.17 MT of pods (FAOSTAT 2018, Deshmukh et al., 2020) Groundnut is valued as a rich source of energy in form of oil (48-50%) and protein (25-28%) in the kernels. Groundnut haulms provide nutritious fodder for livestock. It contains protein (8-15%), lipids (1-3%), minerals (9-17%) and carbohydrate (38-45%) higher than cereal fodder.
       
Foliar fungal diseases are the major production constraints of groundnut worldwide wherever the crop is grown. These diseases can cause more than 70% loss in yield besides adversely affecting the quality of the produce (pods, seeds and haulms). Among foliar fungal diseases, three major foliar diseases viz., early leaf spot [Cercospora arachidicola Hori), late leaf spot (Phaeoisariopsis personata (Berk. and Curt.) Van. Arx.] and rust (Puccinia arachidis Speg.) are the most widely distributed and economically important. Conventional methods of controlling foliar diseases neither ecofriendly nor time saving. For development of foliar resistance varieties, superior germplasm identification is one of the foremost tasks. Several molecular markers for LLS and rust resistance have been validated and used to develop LLS and rust-resistant lines (Yeri and Bhat, 2016; Pandey et al., 2017; Bhawar et al., 2019). Screening of foliar disease resistance in groundnut germplasm using SNP markers are proved very effective, accurate and with exact allele calls.
       
Consuming oils with high levels of oleic acid is beneficial to human health because it reduces low-density lipoproteins, maintaining high-density lipoprotein, slow down atherosclerosis and reversing the inhibitory effect of insulin production. Unlike oleic acid, higher linoleic acid is vulnerable to oxidation causing off-flavors, rancidity and negatively impacts the oil stability. Oleic acid content in conventional peanut cultivars is 48%-54% and in high-oleic-acid peanut cultivars the oleic acid content may be up to 80% (Norden et al., 1987). Fatty acid desaturase (FAD) enzyme facilitates the conversion of oleic acid to linoleic acid by adding double bond to oleic acid. This enzyme is coded by two homologous genes (ahFAD2A and ahFAD2B) located on A and B sub genomes. In conventional breeding, selection for fatty acid composition is carried out in advance generations, thus requires huge resources and time to handle. The linked allele-specific (Chen et al., 2010) and cleaved amplified polymorphic sequences (CAPS) (Chu et al., 2009) markers for both the ahFAD2 genes (ahFAD2A and ahFAD2B) are available for use in molecular breeding programme. Until now, more than 80 high oleic groundnut varieties have been registered globally, which have developed through conventional breeding, marker-assisted backcrossing (MABC), marker-assisted selection (MAS) and mutagenesis (Wang et al., 2015; Bera et al., 2018). In Asian and African countries high oleic groundnut has been recently commercialized, however, combining must-have traits such as late leaf spot (LLS) and rust resistance with high oleic are limited (Shasidhar et al., 2020; Deshmukh et al., 2020). Screening of groundnut germplasm to get resistance to foliar fungal diseases and high oleic trait, are important objectives of groundnut crop improvement at present. Morphological characterization is important to observe yield performance and their attributing traits (Sahu et al., 2020; Upadhyay et al., 2020; Mishra et al., 2021) So current study was conducted to screen LLS and rust resistant groundnut genotype(s)/germplasm line (s) with high oleic acid content and higher yield.
Plant material
 
The plant materials consisted 166 uncharacterized groundnut germplasm lines, 12 advance breeding lines including 6 check varieties. These germplasms were received from Directorate of Groundnut Research, Junagadh (Gujarat). Foliar disease resistance and high yielding varieties viz., GPBD4 and KDG128; high oleic acid containing line Sunoleic95 R and sensitive to foliar diseases varieties i.e., TG26, ICGS44 and JGN3 were used as check.
 
Methodology
 
Morphological characterization
 
The field experiment was conducted at Research Farm, Department of Plant Breeding and Genetics, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya Gwalior (M.P.) The material was grown during kharif 2018-19 in field with inter and intra row spacing of 30 and 10 cm in augmented design. Seeds were disinfected with combination of Dithane M-45 @ 2 g/kg seed + Bavistin @ 1 g/kg seed. The crop was raised following the recommended cultural practiceswith NPK in ratio 20:60:20 and essential dose of gypsum.
 
Morphological characterization
 
Initial plant stand/eow, final plant stand/row, days to 50% flowering, days to maturity, fresh weight/plant, dry weight/ plant, 100 pod weight (gm), kernel yield (gm/plant), 100-kernel weight (gm) and harvest index were documented for five plants and their mean value was considered for further analysis. The coefficient of correlation among all morphological traits at maturity was calculated using SPSS ver19.0 software. The similarity matrices were used to construct a dendrogram for all the germplasm lines and genotypes using NTSYS-pc 2 (Rohlf, 2000).
 
DNA extraction
 
The young leaves of 20 days old seedlings from each germplasm lines were sampled from field. The genomic DNA was extracted using CTAB method (Murray and Thompson, 1980) with minor modification (Tiwari et al., 2017). The quality of the DNA was checked on 1% agarose gel and the DNA concentrations were estimated with the micro volume spectrophotometer (Helix Biosciences, New Delhi, India).
 
SNP genotyping for foliar fungal disease resistance
 
SNP genotyping work was carried out at Molecular Genomics Division, ICRISAT, Hyderabad, Telangana, India. Total 10 plex SNP assay was used having all the SNPs specific for foliar disease resistance including snpAH0002, snpAH0004, snpAH0005, snpAH0010, snpAH0011, snpAH0015, snpAH0017, snpAH0018, snpAH0021 and snpAH0026. Sampling of leaf tissue for all germplasm lines from field was done by Standard operating procedures (SOPs) from young and tender leaves. Total, 4 discs of 2 mm diameter for peanut were taken to get good amount of DNA for Kompetitive allele specific PCR (KASP) platform. After finishing the collection procedure, the plates were sealed properly and transferred to dry ice box for further SNP genotyping.
 
Genotyping with gene based molecular markers
 
For screening of oleic acid, gene-based markers were used (Table 1) (Chu et al., 2011; Chen et al., 2010) while for screening of oleic acid containing germplasm, 3 oleic acid gene-based markers were used viz., WT wild type, SUB substitution, INS insertion, SUB + INS substitution plus insertion. The primers were synthesized by Eurofins Genomics India Pvt Ltd. Polymerase chain reaction was performed in 10 μl reaction mixture comprising of 1X PCR buffer, 0.1 U Taq DNA polymerase, 1 μl dNTP (1 mM), 0.5 μl of forward and reverse primers each (10 pM) and 20 ng/μl of genomic DNA in a thermocycler (Bio-Rad, USA). The PCR protocol comprised of initial denaturation step of 94°C for 3 min followed by 35 cycles of 94°C for 1 min, annealing at 55°C for 30 sec, elongation at 72°C for 1 min with final extension at 72°C for 10 min. The PCR products were resolved on 3% agarose gel at 120V for 2-3 hrs and documented using Syngene, Gel Documentation System (USA).
 

Table 1: Details of molecular markers used for screening of high oleic acid traits of groundnut.

Morphological characterization
 
Significance of correlation of different traits was analyzed using SPSS ver. 19 software at 1% and 5%, respectively (Table 2). Significant and positive correlation was found between initial plant stand to final plant stand (r=0.963), dry weight (r=0.212) and hundred pod weight (r=0.227) at 1% significant level. Similarly, significant and positive correlation was detected between dry weight and hundred pod weight (r=0.0.801) and harvest index (r=0.0.830). Hundred pod weight is highly significant to harvest index (r=0.0.675) at 1% significant level of significance. Dendrogram representing clustering of 186 genotypes based on mean value of morphological observations (Fig 1). Clustering of groundnut genotypes based on fresh weight and kernel yield divided all the genotypes into four groups in 2D plot (Fig 2). Most of the genotypes are presented in group III and IV.  
 

Table 2: Correlation coefficient between morphological observations of groundnut germplasm.


 

Fig 1: 3D clustering of 186 groundnut germplasm for morphological observations.


 

Fig 2: Clustering of groundnut germplasm 2D based on fresh weight and kernel yield.


 
SNP genotyping
 
Allele data for SNP genotyping was received in A/G/C/T form and it was converted in A/B alleles for further analysis. A total of 29 alleles were identified with an average of 2.9 alleles per locus. The number of alleles per locus ranged from 2.0 to 3.0 (Table 3). The gene diversity and PIC values varied between 0.02-0.1601 with an average of 0.1461, respectively. The primers that showed highest gene diversity were 9 in number while the lowest gene diversity and PIC values was observed for the primer snpAH0002. The major allele frequency varied between 0.9063 (all the highly polymorphic 9 markers) to 0.9896 (snpAH0002) with a mean value of 0.9146 (Table 3).
 

Table 3: Summary of SNP data analysis of groundnut germplasm.


 
Dendrogram for SNP genotyping
 
Genotyping data of 186 germplasm lines using SNP markers was used for phylogenetic cluster analysis in A/B form. Total three distinct clusters were formed cluster I having 82 germplasm including check varieties KDG124, GPBD4, ICGS44 and TG 26 and foliar disease resistant lines. Cluster II contains Sunoleic95R and 42 groundnut germplasm. Cluster III represented 61 germplasm and included susceptible check variety JGN3 (Fig 3). Out of 82 germplasm present in cluster I, 14 germplasms i.e., ICGV27127, R 7-47-9, RS 1, S 7-1-9, US 64, S-7-24-13, S-7-1-16, S7-2-18, AH7457, AH7218, S7-2-8, MIRLAP1-2-3, AH7999and RCM453-4 were having higher yield as compared to other germplasm used in the study. They were resistant to foliar fungal diseases at field condition also (Fig 4). These germplasm were selected for screening of FAD2B allele responsible for high oleic acid contents.
 

Fig 3: Dendrogram of 186 groundnut germplasm/genotypes showing clusters for 10 plex SNP assay using UPGMA relationship.


 

Fig 4: Disease score of selected groundnut germplasm for early and late leaf spot at field condition along with check varieties JGN 3 and GPBD 4.


 
Screening for oleic acid contents
 
Screening for high oleic acid contents, three allele specific markers were used. Check variety Sunoleic 95R revealed that total 11 genotypes were showing FAD2B allele for oleic acid content i.e., ICGV27127, R 7-47-9, RS 1, S 7-1-9, S-7-24-13, S-7-1-16, AH7218, S7-2-8, MIRLAP1-2-3, AH7999 and RCM453-4 (Fig 5).
       

Fig 5: Gel picture representing banding pattern of oleic acid containing allele FAD2B in selected groundnut germplasm.


 
In plant breeding, molecular markers can be used for several purposes like germplasm characterization, diversity analysis, selection of parents for hybridization, testing for genetic purity, gene introgression, gene pyramiding, MAS in segregating populations and marker assisted backcrossing (Tiwari et al., 2017; Pramanik et al., 2019; Mishra et al., 2020; Sahu et al., 2020). Marker-assisted selection is an important tool to enhance tolerance/resistance to biotic and abiotic stresses. Present study included use of gene-based markers which are cost effective as they are few in numbers and can be used for screening and identification of resistant germplasm. Allele specific markers can be simply scored on agarose gel electrophoresis are the most cost effective assays to genotype the breeding population in order to select plants with desired allele of foliar disease resistance. Our study utilized 10 plex SNP assay used for selection of LLS and rust resistant genotypes. It is very cost effective, fast and accurate method for selection of foliar disease resistant groundnut genotypes (Adlak et al., 2019).
       
Eight fatty acids can be routinely detected in peanut seeds; however, two major fatty acids, oleic acid (C18:1, D9) and linoleic acid (C18:2, D9, D12), account for approximately 80% of the fatty acid composition (Moore et al., 1989; Norden et al., 1987). Major fatty acids in groundnut oil are palmitic acid (8-11%), oleic acid (36-52%) and linoleic acid (24-43%). Fatty acid composition of groundnut oil is an important trait from human nutrition point of view as well as oil stability during the storage. To facilitate marker-assisted selection for the high-oleate trait, different types of DNA markers from these two genes have been developed. The first high oleate peanut line, “SunOleic95R” was developed through conventional breeding methods, (Gorbet and Knauft, 1997) and “Tifguard High O/L” was developed using MAS. Recent advancement of genomic tools accelerated marker assisted breeding (MAB) to enhance efficiency of selection of target traits in groundnut.
Improvement of groundnut for foliar fungal diseases and high oleic acid traits are major thrust area for groundnut improvement. In our study, we have screened 186 groundnut germplasm for these two traits using marker assisted selection approach. We are reporting ICGV27127, R 7-47-9, RS 1, S 7-1-9, S-7-24-13, S-7-1-16, AH7218, S7-2-8, MIRLAP1-2-3, AH7999 and RCM453-4 groundnut germplasm lines having resistant to LLS and rust diseases and FAD2B allele of high olein traits. These germplasm could be used in crossing programme for new variety development of groundnut with superior agronomic traits.
Corresponding author is highly thankful to Dr. P. Janilla, ICRISAT for SNP genotyping work and DGR, Junagadh for providing groundnut breeding materials used in the study.

  1. Adlak, T., Tiwari, S., Tripathi, M.K, Gupta, N., Sahu, V.K., et al. (2019) Biotechnology: An advanced tool for crop improvement. Current Journal of Applied Science and Technology. 33(1): 1-11. 

  2. Bera, S.K., Kamdar, J.H., Kasundra, S.V., Dash, P., Maurya, A.K., et al. (2018). Improving oil quality by altering levels of fatty acids through marker-assisted selection of ahfad2 alleles in peanut (Arachis hypogaea L.). Euphytica. 214:162. doi: 10.1007/s10681-018-2241-0.

  3. Bhawar, P.C., Tiwari, S., Tripathi, M.K., Tomar, R.S. and Sikarwar, R.S. (2020). Screening of groundnut germplasm for foliar fungal diseases and population structure analysis using gene based SSR markers. Current Journal of Applied Science and Technology. 39(2): 75-84.

  4. Chen, Z., Wang, M.L., Barkley, N.A. and Pittman, R.N. (2010). A simple allele-specific PCR assay for detecting FAD2 alleles in both A and B genomes of the cultivated peanut for high-oleate trait selection. Plant Molecular Biology Reporter. 28: 542-548. doi: 10.1007/s11105-010-0181-5.

  5. Chu, Y., Holbrook, C.C. and Ozias-Akins, P. (2009). Two alleles of ahFAD2B control the high oleic acid trait in cultivated peanut. Crop Science. 49: 2029-2036. doi: 10.2135/cropsci 2009.01.0021.

  6. Deshmukh, D.B., Marathi, B., Sudini, H.K., Variath, M.T., Chaudhari, S., Manohar, S.S., Rani, C.V.D., Pandey, M.K. and Pasupuleti, J. (2020). Combining high oleic acid trait and resistance to late leaf spot and rust diseases in Groundnut (Arachis hypogaea L.). Front. Genet. 11: 514. doi:10.3389 /fgene.2020.00514.

  7. FAOSTAT (2018). FAO Statistical Database. Available online at: http://faostat.fao.org/.

  8. Gorbet, D.W. and Knauft, D.A. (1997). Registration of ‘SunOleic 95R’ peanut. Crop Science. 37: 1392-1392. 

  9. Mishra, N., Tripathi, M.K., Tiwari, S., Tripathi, N. and Trivedi, H.K. (2020). Morphological and molecular screening of soybean genotypes against yellow mosaic virus disease. Legume Research. doi:10.18805/LR-4240.

  10. Mishra, N., Tripathi, M.K., Tiwari, S., Tripathi, N., Gupta, N. and Sharma, A. (2021) Morphological and physiological performance of indian soybean [Glycine max (L.) Merrill] genotypes in respect to drought. Legume Research. doi:10.18805/LR-4550.

  11. Murray, M.G. and Thampson, W.F. (1980). Rapid isolation of high molecular weight plant DNA. Nucleic Acids Research. 8: 4321-4325.

  12. Norden, A.J., Gorbet, D.W., Knauft, D.A. and Young, C.T. (1987). Variability in oil quality among peanut genotypes in the Florida breeding program. Peanut Science. 14: 7-11. doi:10.3146/i0095-3679-14-1-3.

  13. Pandey, M.K., Khan, A.W., Singh, V.K., Vishwakarma, M.K., Shasidhar, Y., et al. (2017). QTL-seq approach identified genomic regions and diagnostic markers for rust and late leaf spot resistance in groundnut (Arachis hypogaea L.). Plant Biotechnology Journal. 15: 927-941. doi:10.1111/pbi.12686.

  14. Pramanik, A., Tiwari, S., Tomar, R.S., Tripathi, M.K. and Singh, A.K. (2019). Molecular characterization of groundnut (Arachis hypogaea L.) germplasm lines for yield attributed traits. Indian Journal of Genetics and Plant Breeding. 79(1): 56-65.

  15. Rohlf, F.J. (2000). NTSYSpc, Numerical Taxonomy and Multivariate Analysis System, Version 2.1a; New York, Exeter Software. pp. 44.

  16. Sahu, V.K., Tiwari, S., Gupta, N., Tripathi, M.K. and Yasin, M. (2020).  Evaluation of physiological and biochemical contents in desi and kabuli chickpea. Legume Research. DOI:10.18805/LR-4265.

  17. Sahu, V.K., Tiwari, S., Tripathi, M.K., Gupta, N., Tomar, R.S. and Yasin, M. (2020). Morpho-physiological and biochemical traits analysis for Fusarium wilt disease using gene-based markers in desi and kabuli genotypes of chickpea (Cicer arietinum L.). Indian Journal of Genetics and Plant Breeding. 80(2): 163-172.

  18. Shasidhar, Y., Variath, M.T., Vishwakarma, M.K., Manohar, S.S., Gangurde, S.S., Sriswathi, M., et al. (2020). Improvement of three Indian popular groundnut varieties for foliar disease resistance and high oleic acid using SSR markers and SNP array in marker-assisted backcrossing. Crop Journal. 8: 1-15. doi: 10.1016/j.cj.2019.07.001.

  19. Tiwari, S., Kumar, N., Tomar, R.S., Sikarwar, R.S. and Joshi, E. (2017). Marker assisted breeding for iprovement of groundnut. Frontiers in Crop improvement. 5 (Spl.): 272-276.

  20. Tiwari, S., Tomar, R.S., Tripathi, M.K. and Ahuja, A. (2017). Modified protocol for pant genomic DNA isolation. Indian Research Journal of Genetics and Biotechnology. 9(4): 478-485.

  21. Upadhyay, S., Singh A.K., Tropathi, M.K., Tiwari, S., Tripathi, N. and Patel, R.P. (2020). In vitro selection for resistance against charcoal rot disease of soybean [Glycine max (L.) Merrill] caused by Macrophomina phaseolina (Tassi) Goid. Legume Research. DOI:10.18805/LR-4440.

  22. Wang, X.Z., Tang, Y.Y., Wu, Q., Sun, Q.X., Wang, Y.Y., Hu, D.Q. and Wang, C.T. (2015). Characterization of high-oleic peanut natural mutants derived from an intersectional cross. Grasas y Aceites. 66: e091.

  23. Yeri, S.B., Bhat, R.S. (2016). Development of late leaf spot and rust resistant backcross lines in JL 24 variety of groundnut (Arachis hypogaea L.). Electronic Journal of Plant Breeding. 7: 37-41.

Editorial Board

View all (0)