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 (2024)

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 47 issue 3 (march 2024) : 490-495

Host Plant Resistance and Analysis of Chemical Compounds Responsible for Bruchid Resistance in Greengram Vigna radiata (L.) Wilczek

T. Hema1, P. Jayamani1,*, R.P. Gnanamalar2, E. Rajeswari3, R. Vishnupriya4
1Department of Pulses, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.
2Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Madurai-625 104, Tamil Nadu, India.
3Department of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.
4Department of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India.
  • Submitted28-06-2022|

  • Accepted26-09-2022|

  • First Online 04-10-2022|

  • doi 10.18805/LR-4994

Cite article:- Hema T., Jayamani P., Gnanamalar R.P., Rajeswari E., Vishnupriya R. (2024). Host Plant Resistance and Analysis of Chemical Compounds Responsible for Bruchid Resistance in Greengram Vigna radiata (L.) Wilczek . Legume Research. 47(3): 490-495. doi: 10.18805/LR-4994.
Background: Greengram Vigna radiata (L.) Wilczek, is an important legume crop that serves as a low-cost source of protein. The bruchid (Callosobruchus spp.) is a serious storage pest affecting greengram and other pulse crops. Thus, a study was designed to investigate bruchid resistance (Callosobruchus chinensis) in inter sub-specific derived lines of greengram and to identify chemical compounds responsible for resistance.

Methods: The experimental material comprised of 200 inter sub-specific derived lines of F9 generation of VBN (Gg) 2 (susceptible to bruchid) × Vigna radiata var. sublobata/2 (resistant to bruchid) and a susceptible check variety. The bruchid screening experiment was carried out in completely randomized design and replicated twice with 50 seeds in each replication by adopting no choice test. Out of 200 lines evaluated for bruchid screening, seed damage due to bruchid was less than 20 per cent in 11 lines, identified as resistant. However, three resistant lines viz., GGISC 124, GGISC 140 and GGISC 150 were taken for further confirmation for bruchid resistance and GC-MS analysis to discover the chemical compounds conferring resistance (Clarus SQ 8C, Perkin Elmer). 

Result: In confirmation screening, seed damage due to bruchid (Callosobruchus chinensis) on 30th day was less than 20 per cent in three inter sub-specific lines viz., GGISC 124, GGISC 150 (17.00%) and GGISC 140 (18.00%), whereas the susceptible check [VBN (Gg) 2] reached 100 per cent adult emergence. The three inter sub-specific lines recorded susceptibility index of 0.046 (GGISC 124), 0.047 (GGISC 140) and 0.048 (GGISC 150) and classified as resistant. The susceptible check [VBN (Gg) 2] recorded the susceptibility index of 0.085. GC-MS study was carried out in resistant lines GGISC 124, GGISC 140, GGISC 150 and susceptible check VBN (Gg) 2. The results revealed that the existence of three compounds viz., 9,12-octadecadienoic acid, methyl ester; Hexadecanoic acid, 1-(hydroxymethyl)-1, 2-ethanediyl ester and Hexadecanoic acid, 2-oxiranyl methyl ester in resistant lines conferred resistance against C. chinensis in greengram.

Greengram Vigna radiata (L.) Wilczek is one of the major legume crops in India and a major component of many cropping systems. It is a low-cost source of nutritional protein (24-25%) and carbohydrate (56%). Greengram is a short duration, self-pollinated diploid grain legume crop with a genome size of 494 to 579 Mb (Liu et al., 2016). In India, the area under cultivation of greengram is 51.3 lakh hectares with the production of 30.9 lakh tonnes and the productivity of 601 kg/ha (Indiastat, 2022).
       
Bruchid is one of the major storage pests of pulses causing severe damage when it is unnoticed under storage. The bruchid, Callosobruchus spp. (Chrysomelidae: Coleoptera) is the dominant insect pest of pulse crops that causes 55 to 60 per cent loss in seed weight and 45.50 to 66.30 per cent loss in protein content and upto 30 per cent loss during storage. The bruchid infestation begins in the field, when adult beetles lay eggs on green pods and larva bore through the pod and feed on the growing seed, causing 1-2 per cent of the damage at field level. When the seeds are stored, the insects continue to feed, mature into adults, generate a secondary infestation and resulting in the complete destruction of the seeds in 3-4 months (Reddy et al., 2021). 
       
Storage at low temperature, solar irradiation of the grains, hermetic storage, the use of biocontrol agents, the use of botanical extracts, chemical treatment with methyl bromide, carbon disulphide and aluminium phosphide have been employed to control the bruchid infestation during storage condition. Chemical control is effective, but it increases storage costs, harmful to humans and other animals owing to residues in food, raises the risk of insect resistance and also environmentally hazardous (Gbaye et al., 2011). In order to overcome these issues, host plant resistance emerged as a useful strategy for developing resistant varieties.
       
Gas chromatography-mass spectroscopy methods are used to identify the phytochemicals found in seeds, seedlings and also leaf extracts. It entails identifying and isolating secondary metabolites produced by plants. The use of gas chromatography and mass spectrometry to screen secondary metabolites allows for sensitive detection of biologically active chemicals. Many chemical compounds  have been reported  for bruchid (Callosobruchus chinensis) resistance in the greengram seeds of TC 1966 viz., Vignatic acid A (cyclopeptide alkaloid) (Kaga and Ishimoto, 1998) and cysteine-rich protein (VrCRP or VrD1) (Chen et al., 2002). The compounds viz., vicilins, para-amino-phenylalanine, lignins, quinines, alkaloids, saponins, polysaccharides, lectins, phytohemagglutinins (PHA), chitinase, beta-1,3-glucanase, peroxidase, provicilin, α-amylase inhibitors, trypsin inhibitors, canavalin, cyanogenic glycosides and phytic acid were also identified for bruchid resistance in greengram seeds (Khan et al., 2003; Somta et al., 2007). The current study was aimed to identify the active chemical compounds involved in the bruchid  resistant lines by GC-MS analysis.
Two hundred inter sub-specific derived lines of F9 generation of VBN (Gg) 2 (susceptible to bruchid) × Vigna radiata var. sublobata/2 (resistant to bruchid) and the parents were subjected to bruchid screening.  A total of 11 resistant lines were identified (data not shown). Out of this, three resistant lines were selected on the basis of low damage per cent. Independent bruchid screening was done along with susceptible check to confirm the resistant lines identified in the preliminary screening. The bruchid species used for screening was Callosobruchus chinensis and the mass culture of the bruchids were maintained on the greengram seeds. The bruchid screening experiment was carried out at Department of Pulses, Tamil Nadu Agricultural University, Coimbatore, India during 2021-22 by using ‘No choice test’ in completely randomized design and replicated twice with 50 seeds in each replication (Dongre et al., 1993). Fifty seeds of each line were transferred into the petriplates and five pairs of bruchids were released and maintained under controlled laboratory conditions. Standard screening parameters viz., initial seed weight (g), final seed weight (g), days to first adult emergence, mean developmental period (days), weight of 10 pairs of adult bruchids (mg) and number of adults emerged on 30th day were recorded. Damage assessment was carried out on 30th day of inoculation when the susceptible check reached 100 per cent damage. The damage parameters viz., weight loss per cent of seed (Khattak et al., 1987), susceptibility index (Howe, 1971) and seed damage per cent (Mariammal et al., 2019) were assessed on 30th day of inoculation.
       
GC-MS analysis on three resistant lines and one susceptible check was performed to discover the active chemical compounds conferring resistance. The samples were prepared from powdered greengram by using standard methods given by Rivera et al., (2012) and the samples were suspended in HPLC grade methanol. The three resistant lines and a susceptible check were subjected to GC-MS analysis (Clarus SQ 8C with detector Perkin Elmer Mass Spectrometer) in the Department of Agricultural Microbiology, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India. The mass spectrum of the GC-MS was compared with the components known from the NIST library database version-14. The spectrum data from four greengram samples were compared to known spectrum from the NIST, PubChem and Human Metabolome Databases.
In the present investigation, out of 200 inter sub-specific lines screened, eleven lines were recorded as resistant  (< 20% seed damage) (data not shown). However, three resistant lines with less seed damage 17.00% (GGISC 124, GGISC 150) and 18.00% (GGISC 140) were further taken for bruchid confirmation screening and also for GC-MS analysis along with a susceptible check [VBN (Gg) 2].
       
During confirmation screening, the bruchid screening parameters were recorded in three resistant lines and a susceptible check and are presented in Table 1. All the parameters recorded in resistant lines showed significant difference when compared to susceptible check. Among the lines, initial seed weight for 50 seeds was 1.21 g (GGISC 124), 1.26 g (GGISC 140), 1.54 g (GGISC 150) and 1.86 g [VBN (Gg) 2]. Three resistant lines showed less weight loss and recorded final seed weight (after 30th day) of 1.07 g (GGISC 124), 1.10 g (GGISC 140) and 1.37 g (GGISC 150). VBN (Gg) 2, a susceptible line showed the highest reduction in seed weight and recorded the final weight of 0.76 g.

Table 1: Screening of inter sub-specific lines for bruchid resistance.


       
The days to first adult emergence was prolonged in resistant lines when compared to VBN (Gg) 2. The days to first adult emergence recorded was 24 days (GGISC 124, GGISC 140, GGISC 150) and was only 20 days in susceptible check. The mean developmental period was longer in resistant lines when compared to VBN (Gg) 2. The mean developmental period recorded was 27 days (GGISC 140), 26 days (GGISC 124, GGISC 150) and 23 days in the susceptible check VBN (Gg) 2. Soumia et al., (2017) also reported longer developmental period in resistant lines when compared to susceptible lines in greengram. The weight of 10 pairs of bruchids were 45.00 mg in VBN (Gg) 2 and however sufficient number of bruchids was not emerged in the specified time (30 days) inorder to record weight of the bruchids. The bruchids emerged from resistant lines were observed as malformed and small in size than in the susceptible lines. Samyuktha et al., (2020) reported that the resistant genotypes expressed the antibiosis mechanism against bruchid infestation and caused the malformation and death of grub in greengram. The number of adults emerged on 30th day in resistant lines were nine, whereas in susceptible check 50 adults were emerged (Table 1). Sarkar and Bhattacharyya (2015) also reported high bruchid infestation in susceptible lines of greengram.
       
In the present study, damage assessment parameters viz., weight loss per cent of the seed, susceptibility index and seed damage were worked and are presented in Table 1. The three resistant lines recorded less weight loss per cent of seed viz., 11.59 per cent (GGISC 124), 12.41 per cent (GGISC 140) and 11.37 per cent (GGISC 150), whereas susceptible check [VBN (Gg) 2] recorded the highest seed weight loss of 59.15 per cent (Table 1). Seram et al., (2016) and Harshitha et al., (2022) reported less weight loss per cent of seed in bruchid resistant lines of greengram.
       
The three resistant lines recorded susceptibility index less than 0.050 (resistant category) viz., 0.046 (GGISC 124), 0.047 (GGISC 140) and 0.048 (GGISC 150), whereas the susceptible check [VBN (Gg) 2] recorded the susceptibility index of 0.085 (Table 1). Neupane et al., (2016), Ghosh et al., (2022) and Harshitha et al., (2022) have also used the susceptibility index and weight loss per cent for determining the level of bruchid resistance in greengram and were found to be high in susceptible lines.
       
Seed damage per cent on 30th day was less than twenty per cent in three resistant lines viz., 17.00 per cent (GGISC 124, GGISC 150) and 18.00 per cent (GGISC 140), whereas the susceptible check (VBN (Gg) 2) reached 100 per cent adult emergence on 30th day of inoculation (Table 1). Harshitha et al., (2022) also reported the 100 per cent adult emergence on 30th day of inoculation in VBN (Gg) 2. Sarkar and Bhattacharyya (2015) and Soumia et al., (2017) reported that in susceptible varieties of greengram, the susceptibility index was more than 0.050 and the seed damage was more than 40 per cent. Soumia et al., (2017) reported that the reduction in adult emergence is an indication of the presence of antibiosis factors in seed that results in the prolongation of developmental period of bruchid in greengram.
       
The resistant lines viz., GGISC 124, GGISC 140, GGISC 150 and susceptible check VBN (Gg) 2 were subjected to GCMS analysis for identifying the chemical compounds responsible for resistance to C. chinensis. The data generated by gas chromatography showed that the composition of the various chemical compounds were present in three resistant lines and a susceptible check. The GC-MS chromatogram plot of the resistant lines GGISC 124, GGISC 140, GGISC 150 and susceptible check VBN (Gg) 2 obtained are shown in Fig 1 to 4, respectively. In the present study, a total of forty bioactive compounds were observed in GC-MS analysis. Among them, seven compounds showed difference in peak area (%), molecular formula, molecular weight and retention time (min.) (Table 2).

Fig 1: GC-MS chromatogram plot of GGISC 124.



Fig 2: GC-MS chromatogram plot of GGISC 140.



Fig 3: GC-MS chromatogram plot of GGISC 150.



Fig 4: GC-MS chromatogram plot of VBN (Gg) 2.



Table 2: Analysis of chemical compounds in the resistant lines and the susceptible check by GC-MS.


       
Among the seven compounds identified four compounds viz., Hexadecanoic acid, methyl ester; n-Hexadecanoic acid; 9, 12-octadecadienoic acid (Z, Z) and Octadecaenoic acid were observed in all the four lines including susceptible check with some difference in per cent  peak area. The compounds viz., Hexadecanoic acid, methyl ester; n-Hexadecanoic acid and 9, 12-octadecadienoic acid (Z,Z) were reported while studying bruchid resistant and susceptible lines in chickpea (Reddy et al., 2021) and in  blackgram (Ragul et al., 2022) through GC- MS analysis. Bharathithasan et al., (2021) also reported insecticidal property of Octadecaenoic acid against insect pest of Areca nut.
       
Among the seven compounds identified, three compounds were found to distinguish the resistant (GGISC 124, GGISC 140, GGISC 150) and susceptible check [VBN (Gg) 2]. The first compound 9, 12-Octadecadienoic acid, methyl ester was observed with the peak area of 1.032 per cent, 2.960 per cent and 3.063 per cent in the resistant lines GGISC 124, GGISC 140 and GGISC 150, respectively with retention time of 24.94 minutes (Table 2). The second  compound Hexadecanoic acid, 1-(hydroxymethyl)-1, 2-ethanediyl ester  was reported with the peak area of 0.254 per cent, 1.838 per cent and 0.487 per cent in the resistant lines GGISC 124, GGISC 140  and GGISC 150, respectively with the  retention time of 26.29 minutes (Table 2). The third compound Hexadecanoic acid, 2-oxiranyl methyl ester was identified in the peak area of 5.804 per cent, 3.390 per cent and 2.862 per cent in the resistant lines GGISC 124, GGISC 140 and GGISC 150, respectively with the retention time of 28.45 minutes (Table 2). The compound 9, 12- Octadecadienoic  acid, methyl ester was reported against bruchid infestation in chickpea (Reddy et al., 2021). Hexadecanoic acid, 1-(hydroxymethyl)-1, 2-ethanediyl ester and Hexadecanoic acid, 2-oxiranyl methyl ester were known to have insecticidal properties against insect pest of Areca nut (Bharathithasan et al., 2021). Therefore, in the present study, 9, 12- Octadecadienoic acid, methyl ester; Hexadecanoic acid, 1-(hydroxymethyl)-1, 2-ethanediyl ester and Hexadecanoic acid, 2-oxiranyl methyl ester were identified as the compounds responsible for bruchid (Callosobruchus chinensis) resistance in greengram. 
Host plant resistance is an environmentally safe, cost effective and sustainable way to mitigate bruchid damage during storage. The inter sub-specific lines viz., GGISC 124, GGISC 140 and GGISC 150 were found to be resistant against bruchids. The three chemical compounds viz., 9, 12-octadecadienoic acid, methyl ester; Hexadecanoic acid, 1-(hydroxymethyl)-1, 2-ethanediyl ester and Hexadecanoic acid, 2-oxiranyl methyl ester were identified in GC-MS analysis and were responsible for bruchid (Callosobruchus chinensis) resistance  in the above three lines of greengram.  Thus, the three resistant lines can be utilized as a pre-breeding material and used as parents in the crossing programme to develop bruchid resistant varieties in greengram.
All authors declared that there is no conflict of interest.

  1. Bharathithasan, M., Ravindran, D.R., Rajendran, D., Chun, S.K., Abbas, S.A., Sugathan, S., et al. (2021). Analysis of chemical compositions and larvicidal activity of nut extracts from Areca catechu Linn against Aedes (Diptera: Culicidae).  PLoS ONE. 16(11): e0260281.

  2. Chen, K.C., Lin, C.Y., Kuan, C.C., Sung, H.Y. and Chen, C.S. (2002). A novel defensin encoded by a mungbean cDNA exhibits insecticidal activity against bruchid. Journal of Agricultural and Food Chemistry. 50: 7258-7263.

  3. Dongre, T., Pawar, S. and Harwalkar, M. (1993). Resistance to Callosobruchus maculatus (F.) (Coleoptera: Bruchidae) in pigeonpea [Cajanus cajan (L.) Millsp.] and other Cajanus species. Journal of Stored Products Research. 29(4): 319-322.

  4. Gbaye, O.A., Millard, J.C. and Holloway, G J. (2011). Legume type and temperature effects on the toxicity of insecticide to the genus Callosobruchus. Journal of Stored Products Research. 47 (1): 8-12.

  5. Ghosh, S., Roy, A. and Kundagraml, S. (2022). Screening of mungbean (Vigna radiata) genotypes against bruchid (Callosobruchus maculatus) attack to reduce post-harvest losses. Legume Research. 45(8): 1019-1027. doi: 10.18805/LR-4354.

  6. Harshitha, G.P., Jayamani, P., Manimegalai, S. and Muthuswamy, A. (2022). Host Plant Resistance for Bruchids in Pre- breeding Lines of Greengram [Vigna radiata (L.) Wilczek]. Legume Research. DOI: 10.18805/LR-4702.  

  7. Howe, R. (1971). A parameter for expressing the suitability of an environment for insect development. Journal of Stored Products Research. 7: 63-65.

  8. Indiastat. (2022). June 21, 2022. Retrieved from http://www.indiastat. com/table/moong-green-gram/season-wise-area-production -productivity-moong-ind.

  9. Liu, M.S., Kuo, T.C.Y., Ko, C.Y., Wu, D.C., Li, K.Y., Lin, W.J., Lin, C.P., Wang, Y.W., Schafleitner, R., Lo, H.F. and Chen, C.Y. (2016). Genomic and transcriptomic comparison of nucleotide variations for insights into bruchid resistance of mungbean [Vigna radiata (L.) Wilczek]. BMC Plant Biology. 16(1): 1-16.

  10. Khattak, S., Hamed, M., Khatoon, R., Mohammad, T. (1987). Relative susceptibility of different mungbean varieties to Callosobruchus maculatus F. (Coleoptera: Bruchidae). Journal of Stored Products Research. 23: 139-142.

  11. Kaga, A. and Ishimoto, M. (1998). Genetic localization of a bruchid resistance gene and its relationship to insecticidal cyclopeptide alkaloids, the vignatic acids, in mungbean [Vigna radiata (L.) Wilczek]. Molecular Genetics and Genomics. 258(4): 378-84.

  12. Khan, M.M.K., Khan, A., Ishimoto, M., Kitamura, K. and Komatsu, S. (2003). Proteome analysis of the relationship between bruchid resistant and susceptible mungbean genotypes. Plant Genetic Resources. 1(2): 115-23.

  13. Mariammal, I., Seram, D., Samyuktha, S.M., Karthikeyan, A. and Dhasarathan, M. (2019). QTL mapping in Vigna radiata × Vigna umbellata population uncovers major genomic regions associated with bruchid resistance. Molecular Breeding. 39: 110-122.

  14. Neupane, S., Subedi, S., Thapa, R.B., Gc, Y.D. and Pokheral, S. (2016). Development of the pulse beetle (Callosobruchus chinensis L.) and ovipositional preference on different legumes under storage. The Journal of Agriculture and Environment. 17: 131-140.

  15. Ragul, S., Mannivannan, N., Iyanar, K., Ganapathy, N. and Karthikeyan, G. (2022). Screening and Biochemical Analysis on blackgram Genotypes for Resistance against Storage Pest Bruchine [Callosobruchus maculatus (F.)]. Legume Research. 45(3): 371-378. doi: 10.18805/LR-4528.

  16. Reddy, M.S.S., Agnihotri, M., Divija, S.D., Bela, B. and Karthik, S. (2021). Gas Chromatography-mass Spectrometry (GC- MS) based Metabolomics of Promising Chickpea Genotypes against Callosobruchus chinensis (L.). Legume Research. 44(11): 1371-1378. DOI:10.18805/LR-4648

  17. Rivera, A., Cedillo, L., Hernandez, F., Castillo, V., Sanchez, A. and Castaneda, D. (2012). Bioactive constituents in ethanolic extract leaves and fruit juice of Morinda citrifolia. Annals of Biological Research. 3(2): 1044-1049.

  18. Samyuktha, S., Venugopal, S., Karthikeyan, A., Vanniarajan, C., Senthil, N., Hepziba, S. and Malarvizhi, D. (2020). Vulnerability of popular mungbean varieties of South India to thhe predominant pulse storage pest, Callosobruchus maculatus (F.). Journal of Entomology and Zoology Studies. 8: 146-151.

  19. Sarkar, S. and Bhattacharyya, S. (2015). Screening of greengram genotypes for Bruchid (Callosobruchus chinensis L.) resistance and selection of parental lines for hybridization programme. Legume Research. 38: 704-706. doi: 10.18805/lr.v38i5.5954.

  20. Seram, D., Mohan, S., Kennedy, J. and Senthil, N. (2016). Development and Damage Assessment of the Storage  Beetle, Callosobruchus maculatus (Thanjavur and Coimbatore strain) under Normal and Controlled Conditions. Proceedings of the 10th International Conference on Controlled Atmosphere and Fumigation in Stored Products. pp 25-31.

  21. Somta, P., Ammaranan, C., Ooi, P.A.C. and Srinives, P. (2007). Inheritance of seed resistance to bruchids in cultivated mungbean. Euphytica. 155: 47-55.

  22. Soumia, P., Srivastava, C., Dikshit, H., Pandi, G. (2017). Screening for resistance against pulse beetle, Callosobruchus analis (F.) in greengram [Vigna radiata (L.) Wilczek] accessions. Proceedings of the National Academy of Sciences, India Section B: Biological Sciences. 87: 551-558.

Editorial Board

View all (0)