Legume Research

  • Chief EditorJ. S. Sandhu

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Effects of Biotic Stresses and Their Mitigation Strategies in Legumes: A Review

Rubby Sandhu1,*, Sandeep Kumar Bangarwa2, Meenakshi Attri3, Sunidhi Tiwari4, Surbhi Kohli5, Shafiya Fayaz3, Nischay Chaudhary1
1Department of Genetics and Plant Breeding, School of Agriculture, Lovely Professional University Jalandhar-Delhi G.T. Road, Phagwara-144 411, Punjab, India.
2Department of Genetics and Plant Breeding, College of Agriculture, Sriganganagar-335 001, Rajasthan, India.
3Division of Agronomy, Faculty of Agriculture, Sher-e-Kashmir University of Agriculture Sciences and Technology, Jammu-180 009, Jammu and Kashmir, India.
4Department of Genetics and Plant Breeding, CSK Himachal Pradesh Agricultural University, Palampur-176 062, Himachal Pradesh, India.
5Division of Plant Breeding and Genetics, Faculty of Agriculture, Sher-e-Kashmir University of Agriculture Sciences and Technology, Jammu-180 009, Jammu and Kashmir, India.
  • Submitted23-04-2023|

  • Accepted20-09-2023|

  • First Online 09-10-2023|

  • doi 10.18805/LR-5160

Legumes are crucial group of crops that are widely cultivated around the world for their protein rich seed and forage. The major impediments for boosting the output of legume crops are biotic and abiotic stresses. There is an urgent need to lessen the detrimental effects of these stresses on legume crops in order to boost the yield and production of legumes to address the nation’s nutritional security issue. An attempt was made to gather published information on effects of biotic stress and mitigation strategies for developing resistant genotypes to maximize yield. This work was done at Department of Genetics and Plant Breeding, School of Agriculture, Lovely Professional University Jalandhar in collaboration with other institutes. Systematic cum integrative review of research work done in different parts of World, particularly in India was comprehended. The literature search was done during August, 2022- February, 2023. About 150 review and research papers were screened from various data bases like ARCC journals, google scholar, research gate and scopus and 76 papers were used to write this paper. This review article presents a comprehensive documentation of the significant impacts of various biotic stresses on legume crops, along with the corresponding mitigation techniques. It highlights the potential effectiveness of integrating the pre-breeding approach with genomic breeding methods as a strategy for developing high-yielding cultivars that exhibit resistance to biotic stresses. By implementing this approach, legume productivity can be enhanced in regions with favourable growth conditions for these crops.

 

Lack of agricultural area, an increasing population and biotic/abiotic stresses impede agriculture and food production. Providing food for an expanding population is currently the greatest challenge. By 2050, the global population is deemed to surpass 10 billion, requiring a 60-100% increase in food supply (FAOSTAT, 2021). India is the leading producer, user and importer for legumes worldwide. To meet anticipated demand for pulses, production must increase from 755 kg/ha to 1.3-1.4 tonnes/ha, or 3-4 million hectares must be planted with pulses crops. Reducing post-harvest losses needs tremendous effort. To satisfy the demand of 30 million tonnes of pulses in 2030, India must boost its annual pulse output by 4.2%. This number warrants an examination of production restrictions and feasible remedies.
       
In addition to cereal, legumes are an essential fundamental food. Humans and animals can obtain proteins, minerals, dietary fibres and carbohydrates from common beans, peas and soya beans (Zargar et al., 2017). Additionally, legumes can enhance soil quality by fixing atmospheric nitrogen and feed cattle (Meena and Lal, 2018). Chickpea, pigeon pea, mung bean, soya bean, common beans and peanut are the most important legume crops for meeting the dietary demands of people having nutritional deficiencies. However, due to climate change, increased disease and insect pressure reduces yield and quality of current legume cultivars (Moss et al., 2020). Almost all the legumes are significantly impacted by biotic stress, which negatively impacts their development, production and nutritional value. Gaining a deeper knowledge of trait distribution across legume germplasm will aid in the exploitation of legume crop diversity and the determination of conservation priorities. Through traditional breeding, it takes a considerable amount of time and endeavour to produce a plant with all the necessary characteristics. Due of these limiting variables, it may be practically hard to find a plant with all desirable accumulative features. In such cases, however, sophisticated approaches such as genome editing (GE), genome engineering, genome-wide association studies (GWAS) and omics technologies give options for rapidly introducing desirable characteristics into legume crops.
 
Aspects of biotic stress
 
Plants are exposed to biotic stressors induced by fungus, bacteria, insects, viruses, nematodes and weeds. All agricultural production systems must contain phyto pathogens and insect pests in an efficient and enduring manner. Resistance to available resistance genes and insecticides is continuously emerging in pathogens. Changes in host plant resistance, natural enemies and insect interactions may impact insect physiology and behaviour due to climate change (Dornez et al., 2010). Increased CO2 levels may exacerbate lepidopteron pod-borer and coleopteran defoliator infestations (Sharma et al., 2006). Moreover, secondary pest infestation grew fast, resulting in a substantial loss of production (Sharma et al., 2006).
 
Biotic stresses and their effects on major legume crops
 
Legume crops face an array of biotic stresses that severely impact their productivity and global food security. Insect herbivory and viral infections limit leaf area and hinder photosynthesis, while stress-inducing bacteria pose a threat to plant survival by disrupting nutrition delivery (Akram et al., 2021). Temperature fluctuations influence pest activity and reproduction, contributing to a significant 20% annual yield loss from pests and illnesses in legume crops (Dhaliwal et al., 2020). Particularly in Asia and Africa, leguminous crops can experience devastating losses of up to 100% under favorable biotic stress conditions (Singh et al., 2022). This part of article explores the effects of biotic stresses on significant legume crops, shedding light on the severe damage inflicted by biotic stressors and severe yield losses caused by them.
       
The pod borer wreaks havoc on India’s pigeon pea and chickpea harvests, resulting in substantial economic losses exceeding $30 million. Other factors like diseases, including collar rot, dry root rot, Pseudomonas syringae blight, stem/white rot, Mycospaerella, wilt and yellow vein mosaic virus, further impact bean yield. Wilt can cause varying degrees of crop loss in legumes, ranging from zero to 100%, depending on the timing of infection (Pandey et al., 2016). Additionally, the pod fly destroys 40% of pigeon pea pods (Singh and Singh, 2014). The sterility mosaic virus poses a significant threat to young pigeonpea plants, causing a staggering 95 to 100% loss in output, while older plants experience losses ranging from 26 to 97% (Gupta et al., 2012). Pigeon pea production is further challenged by Fusarium wilt and sterility mosaic disease (Varshney et al., 2013).
       
The situation is no different for soybean crops globally, with over 20 diseases affecting major soybean-producing nations. Root-knot nematodes alone account for a substantial 44.7% reduction in soybean productivity (Bassel et al., 2012). Moreover, a myriad of insect pests, such as whitefly, jassids, aphids, the soybean leaf folder, green semi looper and leaf webber, alongside the pod borer, contribute to a 30-40% reduction in soybean productivity (Hesler et al., 2018). Chickpea yields remain below their realizable potential, despite India’s production of 1.0-1.2 tonnes per hectare, falling short of the predicted potential of over 2 t/ha.
       
The demand for plant-based meals, especially protein, cannot be fully met due to low chickpea yields, influenced by various biotic stresses like Fusarium wilt (FW), pod borer and ascochyta blight (AB). These stresses are the primary hindrances to improved chickpea yields and producer acceptance, with the potential to cause a complete loss in grain yield and quality (Iruela et al., 2007; Li et al., 2017). Timely action and robust protective measures are essential to safeguard chickpea crops and ensure sustained output. Chickpea-growing areas also face challenges from reniform, root-knot, root lesion and cyst-forming plant-parasitic nematodes.
       
The mung bean, despite its high yield potential of 2.5-3.0 t/ha, faces restricted productivity at only 0.5 t/ha, attributed to abiotic and biotic constraints, inadequate crop protection and limited access to enhanced seeds (Akram et al., 2021). MYMD, a major mung bean virus disease, has caused significant economic losses, lowering India’s yield by 85% (Prabhukarthikeyan et al., 2017). Other fungal diseases like rhizoctonia root rot, anthracnose, powdery mildew and Cercospora leaf spot contribute to yield losses in mung bean crops (Singh et al., 2013; Iqbal et al., 2003; Bhat et al., 2014; Mahesh Wari and Krishna, 2013). Halo blight is another emerging threat causing severe output losses and crop failure in Chinese mung bean farms (Sun et al., 2017). India and Iran have also experienced significant yield reductions due to bacterial leaf spot caused by Xanthomonas phaseoli (Osdaghi, 2014; Kumar and Doshi, 2016).
       
Groundnut production faces challenges posed by insect pests such as pod borers, aphids and mites, as well as disease agents like leaf spots, rusts and toxin-producing Aspergillus fungus (Kumar and Kirti, 2015). Fungal diseases, including groundnut rust, early and late leaf spot, Sclerotium rolfsii and Aspergillus niger, further limit plant development and yield, causing up to 50% reduction in yield (Joshi et al., 2020). Bud necrosis and Peanut mottle virus (PMV) present additional threats to groundnut crops and have gained popularity in India. Viruses alone can result in yield cuts of up to 60%, while minimal nematode-caused groundnut illnesses are reported in India (Kumar and Kirti, 2015). Root knot nematodes, however, have caused damage in various states. The plight of legume crops due to biotic stresses highlights the urgency to devise effective strategies to protect these essential crops, ensuring their resilience and contribution to global food production.
 
Mitigation strategies
 
Genetic resistance is the most appropriate strategy for mitigating biotic stress in legumes. But due to variable nature of resistance, pathogen strains and wide range of host plant, single approach is not sufficient. The narrow genetic base and appropriate screening approach of genetic resources are also a constraint for obtaining durable disease and insect resistance source in legumes. To utilize the full potential of legumes gene pool for resistance and to enrich legumes with genomic resources, integration of the pre-breeding approach with genomic breeding methods could be helpful for developing high yielding cultivars with biotic stress resistance for enhancement in legumes productivity in potential areas (Varshney et al., 2018). Advanced biotechnological interventions (Fig 1) like whole genome sequencing, transcriptomics, proteomics, advanced mutagenesis methods, genome editing approaches and genome-wise association studies will be helpful in understanding the genetic interactions, proteins, metabolites involved in imparting resistance against biotic stresses.
 

Fig 1: Advanced methods to enrich genomic resources in legumes for high-yielding cultivars with enhanced biotic stress resistance.


 
Traditional breeding approaches
 
Conventional breeding is the most traditional method for agricultural plant development. The crop enhancement efforts rely on the inherent genetic diversity found in agricultural plants. A huge variety of agricultural plant types have emerged through traditional breeding. It is a time-consuming and tedious process because of the substantial selection abilities required at each phase. The primary goal of all crop enhancement projects is to obtain a huge and constant productivity. The abiotic and biotic stressors are significantly influencing crop output. For the evolution of a new variety or the improvement of existing varieties, conventional breeding techniques have been utilised in legumes. These techniques include the selection of resistant genetic resources through natural conditions, the crossing of resistant donor genotypes with susceptible genotypes for resistance transfer and the treatment of desired genotypes with physical (gamma radiation) or chemical (EMS, MMS, nitrogen mustards, imines) mutagens. The most precious assets for agricultural enhancement are genetic resources. Evaluation of characteristics-specific germplasm is the initial step in determining the genetic diversity necessary for certain traits. The conventional improvement technique necessitates the presence of naturally occurring diversity in crop genetic resources (CGR) and the examination of CGR to identify breeding resources. Until a new pathotype strain arises in nature, the utilisation of diverse genotypes is useful for developing resistant materials.
 
Genetic resistance
 
Identification of resistant cultivars and resistance mechanisms
 
Utilizing genetically resistant genotypes is the cheapest, environment friendly and sustainable method for combating soil-borne diseases. Regarding soil-borne diseases, there are a lesser number of resistant crop cultivars available. According to published research, several food crops are susceptible to root rot diseases caused by Fusarium solani (Tembhurne et al., 2017), F. oxysporum (Chandra et al., 2019), Rhizoctonia solani (Patro et al., 2018) and Pythium species (Syed et al., 2020). However, M. phaseolina-resistant commercial cultivars have not yet been created, despite a few scientific attempts to identify the origins of resistance (Dhaliwal et al., 2020). Researchers discovered few resistance cultivars against M. phaseolina, the pathogen that causes dry root rot/charcoal rot in mung bean (Pandey et al., 2021), soybean (Pawlowski et al., 2015) and chickpea (Gupta et al., 2012). However, many variations are region-specific, necessitating testing across multiple locales and seasons. There are several sources of disease resistance originating from both transgressive segregation and other cultivars within the same species. The manner in which a host reacts to pathogen infection is a major determinant of its susceptibility or resistance. Several signalling molecules are activated when the host plant comes in contact with pathogen and, as a result, the plant’s defensive response is initiated. The defensive systems consist of both structural and metabolic components. Every resistance breeding effort must comprehend which qualities are inherited and how they do so. For instance, resistance to charcoal rot is polygenic and defined by a continuous range of disease symptoms, i.e., extremely sensitive, moderately resistant and highly resistant (Talukdar et al., 2009). The pattern of disease response as reflected by the length of necrosis was the subject of a study (da Silva et al., 2019). Several findings reveal that numerous genes regulate charcoal rot resistance in soybeans. Ear rot (Fusarium verticillioides) shows a significant connection with genotype, polygenes play a significant impact for gaining resistance and no cultivar with complete immunity has been identified (Zila et al., 2013). Infection with Rhizoctonia solani (Pierre and Bateman, 1967) and Fusarium solani f. sp. phaseoli (Kendra 1984) leads to formation of phytoalexins such as phaseolin, according to research. It has been demonstrated that resistant cultivars generate phytoalexins more rapidly and at a higher rate. There may be maternal effects on Fusarium root rot resistance in purple hypocotyls; hence, they may imply increase phytoalexin levels (Kendra 1984). Recent comprehensive genome expression profile investigations have provided us with insight into the mechanism of cultivar-level resistance. Differential expression of pectin degrading enzymes in different genotypes of rice following infection with R. solani demonstrated that the resistant genotypes were likely to have a lower degree of pathogen expression (Rao et al., 2020). A list of biotic stress-resistant legume crop varieties is given in Table 1.
 

Table 1: A list of biotic stress resistant legume crop varieties of recent past years.


 
Recent advances in biotic stress mitigation
 
Gene modification in legume-pathogen interactions
 
Inbreeding frequently results in the transmission of unwanted traits that might compromise the desired outcome. Combining plant breeding with precise gene editing may increase the effectiveness of disease resistance deployment in plants. The capability and likelihood of introducing resistance traits to legumes through genome editing are rapidly growing. CRISPR/Cas9 has been identified in bacterial species that are capable of genome editing function as a form of protection against bacteriophages. CRISPR-Cas9 genome editing requires Cas9 and a tailored sg RNA. CRISPR/Cas9 was utilised to eliminate 2 ABC transporters, PxABCC2 and PxABCC3, in the lepidopteran pest Plutella xylostella, resulting in a higher degree of resistance to cry1Ac protoxin compared to strains that were sensitive (Guo et al., 2019). CRISPR/Cas9-mediated editing of the CYP6AE gene cluster in Helicoverpa armigera demonstrated that insect survival was reduced when exposed to insecticides and phytochemicals (Wang et al., 2018). Investigations are being conducted into the development of CRISPR/Cas9 or TALEN entry vectors for gateway cloning in soybeans and Medicago sativa truncatula is also available (Curtin et al., 2018).

E-CRISP (Heigwer et al., 2014) and CHOPCHOP (Montague et al., 2014) are two new web-based tools for finding CRISPR-Cas9 target sites and off-target sites. In legumes, a tool for CRISPR/Cas9 design and a technique for gene editing in Mycobacterium smegmatis were created (Michno et al., 2015). Sclerotinia sclerotiorum mutants with substantial loss of function were produced using CRISPR/cas9. Using the previously discovered Ssoah1 gene as the target gene, less damaging insertional gene mutants of soybean, Brassica spp. and tomato were produced (Li et al., 2017) Similarly, the Avr4/6 genes of the pathogen were altered using gene editing to generate Pytophthora sojae mutants (Fang and Tyler, 2016). These investigations were crucial for elucidating the role of fungal and oomycete genes in pathogen pathogenesis. Recent study has showed that CRISPR/Cas9 genome editing of promoters may yield many cis-regulatory alleles and that quantitative variation is a beneficial breeding tool. Rodriguez-Leal et al., (2017) created a genetic approach that takes use of the transgenerational heritability of Cas9 activity in heterozygous loss-of-function mutant conditions. If we know the activity of cis-regulatory alleles, we may utilise this technique to screen QTLs for disease resistance and employ it as a breeding tool (Rodriguez-Leal et al., 2017). This notion is made conceivable by epi-mutagenesis, a mechanism that rapidly creates DNA methylation variation by random demethylation. This capability to modify plant methylomes to create epigenetically different individuals may prove to be a beneficial breeding tool (Ji et al., 2018). Although only a limited number of legume plants have currently undergone gene editing to enhance their resistance to pathogens, we anticipate that this technology will be increasingly utilized in the future to create disease-resistant legume plants that will enhance crop production.
 
Discovery of QTLs for disease resistance
 
QTL mapping is a method for linking plant disease resistance locus with resistant trait. The method facilitates the analysis of the roles of individual resistance loci, the specificity of resistance genes and the interactions between resistance genes, development stage and the environment. Few research has been conducted on the identification of QTLs for resistance to soil-borne diseases, particularly for common bean and cowpea (Muchero et al., 2009). There are close to eight QTLs associated with cowpea resistance and one important QTL, Mac-2, accounts for over 40% of the resistance diversity (Muchero et al., 2009). A marker associated with the pectin esterase inhibitor (PEI)-encoding 1 0853 gene has been identified. Pectins have a vital role in pathogen defence (Lionetti et al., 2007), hence identified PEI as a phaseolina-resistant gene for M. cowpea. Identification of QTLs by GWAS (Genome Wide Association Mapping) has recently acquired importance for identifying resistance; nevertheless, little is known about soil-borne diseases. Some of the QTLs identified against biotic stress in legumes are summarised in Table 2.
 

Table 2: List of QTL/marker analysis in legume–pathogen interaction studies.


 
Genetic engineering for crop insect/pests
 
Cry proteins can be expressed using genetic engineering techniques alone or in conjunction with other genes, vegetative insecticidal proteins (VIP), proteinase inhibitors and lectins for conferring insect pest resistance and the most recent biotechnological approaches, including RNAi and CRISPR/Cas9, are all viable options for long-term insect pest control. Genetic engineering approaches for developing insect resistance in legumes is illustrated using Fig 2.
 

Fig 2: Genetic engineering approaches for developing insect resistance in legumes.


 
Cry peptides
 
Crystal, also known as Cry toxin, insecticidal crystal toxins/proteins, crystalline inclusion and parasporal body, is obtained from a soil-dwelling gram-positive bacteria that creates crystals during sporulation. Insects belonging to the families Coleoptera, Diptera, Lepidoptera, Hymenoptera and Nematoda are harmed by cry toxins. They are safe for people, animals and natural insect predators.
 
Transgenic legumes
 
The cowpea aphid, Aphis cracciovra, has been observed to inflict considerable damage to the production of an important legume crop, chickpea. The overexpression of the agglutinin gene in chickpea can have a substantial impact on the survival and fertility of cowpea insects (Chakraborti et al., 2009). In addition, transgenic pigeon pea expressing Glycine max trypsin inhibitor and Cry1Ab has been developed (Sharma et al., 2006), but it does not efficiently inhibit H. armigera (Sharma et al., 2017). Transgenic chickpeas expressing an inhibitor of cowpea trypsin (Thu et al., 2003) study with an a-amylase inhibitor (Sarmah et al., 2004) demonstrated bruchid resistance. Pea weevil resistance was generated by producing an inhibitor of amylase in transgenic pea (Morton et al., 2000). The introduction of Cry1Ab and Cry1Ac genes into pea cultivars (De Sousa-majer et al., 2007a), adzuki bean (Ishimoto et al., 1996) and chickpea (Ignacimuthu and Prakash, 2006) provided bruchid insect resistance. The insertion of Cry1Ab and Cry1Ac genes into pea cultivars (De Sousa-majer et al., 2007a), adzuki bean (Ishimoto et al., 1996) and chickpea (Ignacimuthu and Prakash, 2006) gave resistance against cowpea pests that were vulnerable to various different kinds of Bt crystal toxins. Luthia et al. (2013) introduced the AI-1 gene into the breeding line IT86D-1010 and the cultivar ‘Sasaque,’ both of which displayed 100 percent mortality of C. maculatus and C. chinensis larvae in the seeds of transgenic lines. List of transgenic legumes developed for insect resistance is given in Table 3.
 

Table 3: Examples of transgenic legumes carrying transgenes for insect resistance.


 
Genetic engineering for transfer of disease resistance in legumes
 
Using transgenic technology, GE has developed the most effective alternative strategy for rapid development of resistance. Induction of resistance to yellow mosaic disease has been achieved by RNA interference/anti-sense RNA technology and pathogen-derived resistance in related species or genera (PDR). Haq et al., (2010) generated resistance for MYMIV utilising a gene construct of a soybean MYMIV isolate with an antisense Rep gene that has several roles, including viral replication, transcription and other protein synthesis processes connected to host DNA synthesis (Rouhibakhsh et al., 2011). The gene construct including the anti-Rep gene together with the soybean isolates DNA-A and DNA-B were co-inoculated in three legume hosts, i.e. cowpea (variety Pusa Komal), mungbean (variety PS16) and blackgram (variety T9) and the MYMV severity observed was 17.8%, 20% and 18.0%, respectively. Using RNA interference technique, transgenic cowpea with several RNAi constructs, including AC2, AC4 and AC2+AC4, was produced. Transgenic cowpea lines with AC2-hp and AC2+AC4- hp RNA displayed total resistance to (Kumar et al., 2017). Using agrobacterium-mediated gene transfer of wheat germin gene (gf-2.8) producing oxalate oxidase (OxO) that oxidises oxalic acid into CO2 and H2O2, transgenic soybean with SWM (Sclerotinia sclerotiorum) resistance has been created. Increased OxO activity decreased disease development and imparted SWM resistance to soybean plants (Akram et al., 2021). Cober et al., (2003) analysed the transgenic line 80(30)-1 bearing the transgenic gene wheat germin gf-2.8 together with the normal soybean line 80(30)-9 and resistant and susceptible cultivars. Three years of field testing demonstrated that the transgenic lines have a lower disease severity index (DSI) than the regular line, which has the highest DSI.
Precise phenotyping is essential for finding a suitable source of resistance and developing segregating populations like F2, backcross, RILs, NILs and other advanced populations for studying genetics and identifying stable genetic loci for disease resistance breeding programmes. Genomics assisted breeding tools like MAB and other variants like MABC, MARS, MAGP; genome-wide selection approaches like GS and GWAS; next generation mutagenesis strategies like TILLING, MutMap, MutMap+; genetic engineering approaches transgenesis, cisgenesis, next generation sequencing (NGS) platforms and the newly emerging genome-wide editing (CRISPRC as system) are potential methods for developing useful genomic resources for their extensive utilization in legumes breeding programs.  Integrating genetic and genomic resources will help to produce the resistant cultivar needed for food and nutritional security.
None

  1. Akram, M., Kamaal, N., Pratap, A. and Singh, N.P. (2021). Resistance status of mungbean [Vigna radiata (L.) Wilczek] advanced breeding materials against mungbean yellow mosaic India virus. 54(19-20): 2533-2546.

  2. Atienza, S.G., Palomino, C., Gutiérrez, N., Alfaro, C.M., Rubiales, D., Torres, A.M., Ávila, C. M., Atienza, S.G., Palomino, C., Gutiérrez, N., Alfaro, C.M., Rubiales, D., Torres, A. M. and Ávila, C.M. (2016). QTLs for ascochyta blight resistance in faba bean (Vicia faba L.): validation in field and controlled conditions. Crop and Pasture Science. 67(2): 216-224. 

  3. Barilli, E., Cobos, M.J., Carrillo, E., Kilian, A., Carling, J. and Rubiales, D. (2018). A high-density integrated DArTseq SNP-based genetic map of Pisum fulvum and identification of QTLs controlling rust resistance. Frontiers in Plant Science. 9: 167.

  4. Bassel, G.W., Gaudinier, A., Brady, S.M., Hennig, L., Rhee, S.Y. and De Smet, I. (2012). Systems analysis of plant functional, transcriptional, physical interaction and metabolic networks. The Plant Cell. 24(10): 3859-3875. 

  5. Bhat, F.A., Mohiddin, F.A. and Bhat, H.A. (2014). Reaction of green gram (Vigna radiata) to Cercospora canascens (ELL.) and Mart. Ind. J. Agric. Res. 48: 140-144. doi: 10.5958/ j.0976-058X.48.2.023.

  6. Bommireddy, P.L., Leonard, B.R., Temple, J., Price, P., Emfinger, K., Cook, D., Hardke, J. T., Bommireddy, P.L., Temple, J., Leonard, B.R., Price, P. and Emfinger, K. (2011). Arthropod management field performance and seasonal efficacy profiles of transgenic cotton lines expressing Vip3A and VipCot against Helicoverpa zea (Boddie) and Heliothis virescens (F.). The Journal of Cotton Science. 15: 251-259. 

  7. Bonhomme, M. andré, O., Badis, Y., Ronfort, J., Burgarella, C., Chantret, N., Prosperi, J.M., Briskine, R., Mudge, J., Debéllé, F., Navier, H., Miteul, H., Hajri, A., Baranger, A., Tiffin, P., Dumas, B., Pilet-Nayel, M.L., Young, N.D. and Jacquet, C. (2014). High-density genome-wide association mapping  implicates an F-box encoding gene in Medicago truncatula resistance to Aphanomyces euteiches. The New Phytologist.  201(4): 1328-1342. 

  8. Chakraborti, D., Sarkar, A., Mondal, H.A. and Das, S. (2009). Tissue specific expression of potent insecticidal, Allium sativum leaf agglutinin (ASAL) in important pulse crop, chickpea (Cicer arietinum L.) to resist the phloem feeding Aphis craccivora Transgen Res. 18 529-44.

  9. Chandra, S., Kumar Rajvanshi, N., Kumar, A., Kumar, P., Punam, K. and Kumari Punam, C. (2019). New sources of resistance against Fusarium oxysporum f.sp. Udum causing wilt of pigeonpea. Journal of Pharmacognosy and Phytochemistry.  8(4): 938-939.

  10. Chang, H.X., Lipka, A.E., Domier, L.L. and Hartman, G.L. (2016). Characterization of disease resistance loci in the USDA soybean germplasm collection using genome-wide association studies. Phytopathology. 106(10): 1139-1151. 

  11. Cober, E.R., Rioux, S., Rajcan, I., Donaldson, P.A. and Simmonds, D.H. (2003). Partial resistance to white mold in a transgenic  soybean line Crop Science. 43: 92-5.

  12. Coyne, C.J., Porter, L.D., Boutet, G., Ma, Y., McGee, R.J., Lesné, A., Baranger, A. and Pilet-Nayel, M.L. (2019). Confirmation of Fusarium root rot resistance QTL Fsp-Ps 2.1 of pea under controlled conditions. BMC Plant Biology. 19(1): 1-8.

  13. Curtin, S.J., Zhang, F., Sander, J.D., Haun, W.J., Starker, C., Baltes, N.J., Reyon, D., Dahlborg, E.J., Goodwin, M.J. and Coffman, A.P. (2018). Targeted mutagenesis of duplicated genes in soybean with zinc-finger nucleases. Plant Physiology. 156(2): 466-73.

  14. Da Silva, M.P., Klepadlo, M., Gbur, E.E., Pereira, A., Mason, R.E., Rupe, J.C., Bluhm, B.H., Wood, L., Mozzoni, L.A. and Chen, P. (2019). QTL mapping of charcoal rot resistance  in PI 567562A soybean accession. Crop Science. 59(2): 474-479. 

  15. De Sousa-majer, M.J., Hardie, D.C., Turner, N.C. and Higgins, T.J.V. (2007). Bean á-amylase inhibitors in transgenic peas inhibit development of pea weevil larvae. Journal of Economic Entomology. 100(4): 1416-1422.

  16. Dhaliwal, S.K., Salaria, P. and Kaushik, P. (2020). Revisiting and Enlisting Important QTLs Identified in Frech Bean (Phaseolus  vulgaris L.): A review. pp: 2020060016.

  17. Dornez, E., Croes, E., Gebruers, K., De Coninck, B., Cammue, B.P.A., Delcour, J.A. and Courtin, C.M. (2010). Accumulated evidence substantiates a role for three classes of wheat xylanase inhibitors in plant defense. Critical Reviews in Plant Sciences. 29(4): 244-264.

  18. FAOSTAT. (2021). FAOSTAT. https://www.fao.org/faostat/en/home.

  19. Fang, Y. and Tyler, B.M. (2016). Efficient disruption and replacement of an effector gene in the oomycete Phytophthora sojae using CRISPR/Cas9. Molecular Plant Pathology. 17(1): 127-39.

  20. Ganopoulos, I., Mylona, P., Mellidou, I., Kalivas, A., Bosmali, I., Kontzidou, S., Osathanunkul, M. and Madesis, P. (2018). Microsatellite genotyping and molecular screening of pea (Pisum sativum L.) germplasm with high-resolution melting analysis for resistance to powdery mildew. Plant Gene. 15: 1-5. 

  21. Grazziotin, M.A.G.D., Cabral, G.B., Ibrahim, A.B., Machado, R.B. and Aragão, F.J.L. (2020). Expression of the Arcelin 1 gene from Phaseolus vulgaris L. in cowpea seeds (Vigna unguiculata L.) confers bruchid resistance. Annals of Applied Biology. 176(3): 268-274. 

  22. Guo, Z., Sun, D., Kang, S., Zhou, J., Gong, L., Qin, J., Guo, L., Zhu, L., Bai, Y., Luo, L. and Zhang, Y. (2019). CRISPR/ Cas9-mediated knockout of both the PxABCC2 and PxABCC3 genes confers high-level resistance to Bacillus thuringiensis Cry1Ac toxin in the diamondback moth, Plutella xylostella (L.). Insect Biochemistry and Molecular Biology. 107: 31-38.

  23. Gupta, O., Rathi, M. and Mishra, M. (2012). Screening for resistance against Rhizoctonia bataticola causing dry root-rot in chickpea. Journal of Food Legumes. 25(2): 139-141.

  24. Haq, Q.M.I., Ali, A. and Malathi, V.G. (2010). Engineering resistance against mungbean yellow mosaic india virus using antisense RNA. Indian Journal of Virology/: An Official Organ of Indian Virological Society. 21(1): 82.

  25. Hesler, L.S., Allen, K.C., Luttrell, R.G., Sappington, T.W. and Papiernik, S.K. (2018). Early-season pests of soybean in the united states and factors that affect their risk of infestation. Journal of Integrated Pest Management. 9(1): 1-15. 

  26. Heigwer, F., Kerr, G., Walther, N. and Glaeser, K. (2014). E-CRISP: fast CRISPR target site identification. Nature Methods. 11(2): 122-3.

  27. Ignacimuthu, S. and Prakash, S. (2006). Agrobacterium-mediated transformation of chickpea with alpha-amylase inhibitor gene for insect resistance. Journal of Biosciences. 31(3): 339-345. 

  28. Iqbal, S.M., Ghafoor, A., Arshad, M. and Bashir, M. (2003). Screening of urdbean (Vigna mungo L.) germplasm for resistance to charcoal rot disease. Plant Pathology Journal. 2: 107-110.

  29. Iruela, M., Castro, P., Rubio, J., Cubero, J.I., Jacinto, C., Millán, T. and Gil, J. (2007). Validation of a QTL for resistance to ascochyta blight linked to resistance to fusarium wilt race 5 in chickpea (Cicer arietinum L.). Ascochyta Blights of Grain Legumes. 119:  29-37.

  30. Ishimoto, M., Sato, T., Chrispeels, M.J. and Kitamura, K. (1996). Bruchid resistance of transgenic azuki bean expressing seed á-amylase inhibitor of common bean. Entomologia Experimentalis et Applicata. 79(3): 309-315. 

  31. Ji, L., Jordan, W.T., Shi, X., Hu, L., He, C. and Schmitz, R.J. (2018). TET-mediated epimutagenesis of the Arabidopsis thaliana methylome. Nature Communications. 9(1): 895.

  32. Joshi, E., Sasode, D.S., Singh, N. and Chouhan, N. (2020). Diseases of groundnut and their control measures. Biotica Res Today. 2(5): 232-237.

  33. Kendra, D.F. and Hadwiger, L.A. (1984). Characterization of the smallest chitosan oligomer that is maximally antifungal to F. solani and elicits Pisatin formation in Pistum sativa. Experimetal Mycology. 8: 276-81.

  34. Kumar, S., Tanti, B., Patil, B.L., Mukherjee, S.K. and Sahoo, L. (2017). RNAi-derived transgenic resistance to Mungbean yellow mosaic India virus in cowpea. PloS One. 12(10). 

  35. Kumar, J. and Doshi, A. (2016). Epidemiology and management of bacterial leaf spot of green gram [Vigna radiata (L.) Wilczek] caused by Xanthomonas axonopodis pv. vigna radiata (Sabet et al.) Dye, PHD Thesis, MPUAT, Udaipur. Pp: 151.

  36. Kumar, D. and Kirti, P.B. (2015). Transcriptomic and proteomic analyses of resistant host responses in Arachis diogoi challenged with late leaf spot pathogen, Phaeoisariopsis personata. PLoS ONE 10(2): e0117559. https://doi.org/ 10.1371/journal.pone.0117559.

  37. Lavaud, C., Baviere, M., Le Roy, G., Hervé, M.R., Moussart, A., Delourme, R. and Pilet-Nayel, M.L. (2016). Single and multiple resistance QTL delay symptom appearance and slow down root colonization by Aphanomyces euteiches in pea near isogenic lines. BMC Plant Biology. 16(1). 

  38. Lee, J.S., Yoo, M. ho, Jung, J.K., Bilyeu, K.D., Lee, J.D. and Kang, S. (2015). Detection of novel QTLs for foxglove aphid resistance in soybean. Theoretical and Applied Genetics. 128(8): 1481-1488. 

  39. Lionetti, V., Raiola, A., Camardella, L., Giovane, A., Obel, N., Pauly, M., Favaron, F., Cervone, F. and Bellincampi, D. (2007). Overexpression of pectin methylesterase inhibitors in Arabidopsis restricts fungal infection by Botrytis cinerea. Plant Physiology. 143(4): 1871-1880.

  40. Li, Y., Sun, S., Zhong, C., Wang, X., Wu, X. and Zhu, Z. (2017). Genetic mapping and development of co-segregating markers of RpsQ, which provides resistance to Phytophthora sojae in soybean. Theoretical and Applied Genetics. 130(6): 1223-1233.

  41. Li, J.F., Zhang, D. and Sheen, J. (2017). Cas9-based genome editing in arabidopsis and tobacco. Methods in Molecular Biology. 1498: 191-203.

  42. Luthia, C., Alvarez-Alfagemea, F., Ehlersa, J.D., Higgins, T.J. and Romeis, J. (2013). Resistance of á AI-1 transgenic chickpea (Cicer arietinum) and cowpea (Vigna unguiculata) dry grains to bruchid beetles (Coleoptera: Chrysomelidae) Bulletin of Entomolological Research. 103: 373-8.

  43. Maheshwari, S.K. and Krishna, H. (2013). Field efficacy of fungicides and bio-agents against Alternaria leaf spot of mungbean. Ann. Plant Prot. Sci. 21: 364-367.

  44. Meena, R.S. and Lal, R. (2018). Legumes and sustainable use of soils. Legumes for Soil Health and Sustainable Management. Pp: 1-31. 

  45. Meng, F., Li, Y., Zang, Z., Li, N., Ran, R., Cao, Y., Li, T., Zhou, Q. and Li, W. (2017). Expression of the double-stranded RNA of the soybean pod borer Leguminivora glycinivorella (Lepidoptera: Tortricidae) ribosomal protein P0 gene enhances the resistance of transgenic soybean plants. Pest Management Science. 73(12): 2447-2455.

  46. Michno, J.M., Wang, X., Liu, J., Curtin, S.J., Kono, T.J.Y. and Stupar, R.M. (2015). CRISPR/Cas mutagenesis of soybean and Medicago truncatula using a new web-tool and a modified Cas9 enzyme. GM Crops Food. 6(4): 243-52.

  47. Montague, T.G., Cruz, J.M., Gagnon, J.A., Church, G.M. and Valen, E. (2014). CHOPCHOP: A CRISPR/Cas9 and TALEN web tool for genome editing. Nucleic Acids Research. 42(W1): W401-7.’

  48. Morton, R.L., Schroederm, H.E., Bateman, K.S., Chrispeels, M.J., Armstrong, E. and Higgins, T.J. (2000). Bean alpha- amylase inhibitor 1 in transgenic peas (Pisum sativum) provides complete protection from pea weevil (Bruchus pisorum) under field conditions Proc. National Academy of Science USA. 97 3820-5.

  49. Moss, C., Lukac, M., Harris, F., Outhwaite, C.L., Scheelbeek, P.F.D., Green, R., Berstein, F. M. and Dangour, A.D. (2020). The effects of crop diversity and crop type on biological diversity in agricultural landscapes: A systematic review protocol. Wellcome Open Research. 4: 101. 

  50. Muchero, W., Ehlers, J.D., Close, T.J. and Roberts, P.A. (2009). Mapping QTL for drought stress-induced premature senescence and maturity in cowpea [Vigna unguiculata (L.) Walp. Theoretical and Applied Genetics. 118(5): 849-63.

  51. Osdaghi, E. (2014). Occurrence of common bacterial blight on mungbean (Vigna radiata) in Iran caused by Xanthomonas axonopodis pv. Phaseoli. New Dis. Rep. 30: 9. doi: 10.51 97/j.2044-0588.2014.030.009.

  52. Pandey, A.K., Yee, M., Win, M.M., Moh Lwin, H.M., Adapala, G., Rathore, A., Sheu, Z. ming and Nair, R.M. (2021). Identification of new sources of resistance to dry root rot caused by Macrophomina phaseolina isolates from India and Myanmar in a mungbean mini-core collection. Crop Protection. 143: 105569. 

  53. Pandey, M.K., Roorkiwal, M., Singh, V.K., Ramalingam, A., Kudapa, H., Thudi, M., Chitikineni, A., Rathore, A. and Varshney, R.K. (2016). Emerging genomic tools for legume breeding:  Current status and future prospects. Frontiers in Plant Science. 7: 455.

  54. Patro, T., Ranga, A.N.G., Divya, M., Meena, A. and Anuradha, N. (2018). Identification of resistant sources of Proso millet varieties against Rhizoctonia solani Kuhn. Inciting banded blight (BB) disease. Journal of Pharmacognosy and Phytochemistry. 7(4).

  55. Pawlowski, M.L., Hill, C.B. and Hartman, G.L. (2015). Resistance to Charcoal Rot Identified in Ancestral Soybean Germplasm. Crop Science. 55(3): 1230-1235. 

  56. Perseguini, J.M.K.C., Oblessuc, P.R., Rosa, J.R.B.F., Gomes, K.A., Chiorato, A.F., Carbonell, S.A.M., Garcia, A.A.F., Vianello, R.P. and Benchimol-Reis, L.L. (2016). Genome-wide association studies of anthracnose and angular leaf spot resistance in common bean (Phaseolus vulgaris L.). PLOS ONE. 11(3): e0150506. 

  57. Pierre, R.E. and Bateman, D.F. (1967). Induction and distribution of phytoalexins in Rhizoctonia-infected bean hypocotyls. Phytopathology. 57: 1154-1160.

  58. Prabhukarthikeyan, S.R., Manikandan, R., Durgadevi, D., Keerthana, U., Harish, S., Karthikeyan, G. and Raguchander, T. (2017).  Bio-suppression of turmeric rhizome rot disease and understanding the molecular basis of tripartite interaction among Curcuma longa, Pythium aphanidermatum and Pseudomonas fluorescens. Biological Control. 111: 23-31.

  59. Qin, D., Liu, X.Y., Miceli, C., Zhang, Q. and Wang, P.W. (2019). Soybean plants expressing the Bacillus thuringiensis cry8 -like gene show resistance to Holotrichia parallela. BMC Biotechnology. 19(1): 1-12. 

  60. Rao, T.B., Chopperla, R., Prathi, N.B., Balakrishnan, M., Prakasam, V., Laha, G.S., Balachandran, S.M. and Mangrauthia, S.K. (2020). A comprehensive gene expression profile of pectin degradation enzymes reveals the molecular events during cell wall degradation and pathogenesis of rice sheath blight pathogen Rhizoctonia solani AG1-IA. Journal of Fungi (Basel, Switzerland). 6(2): 71.

  61. Rey, T., Bonhomme, M., Chatterjee, A., Gavrin, A., Toulotte, J., Yang, W. andré, O., Jacquet, C. and Schornack, S. (2017). The Medicago truncatula GRAS protein RAD1 supports arbuscular mycorrhiza symbiosis and Phytophthora palmivora susceptibility. Journal of Experimental Botany. 68(21-22): 5871-5881.

  62. Rodriguez-Leal, D., Lemmon, Z.H., Man, J., Bartlett, M.E. and Lippman, Z.B. (2017). Engineering quantitative trait variation for crop improvement by genome editing. Cell. 171(2): 470-480.e8.

  63. Rouhibakhsh, A., Haq, Q.M.I. and Malathi, V.G. (2011). Mutagenesis in ORF AV2 affects viral replication in Mungbean yellow mosaic India virus. Journal of Biosciences. 36(2): 329-340. 

  64. Santos, J.R.P., Ndeve, A.D., Huynh, B.L., Matthews, W.C. and Roberts, P.A. (2018). QTL mapping and transcriptome analysis of cowpea reveals candidate genes for root-knot nematode resistance. PLOS ONE. 13(1).

  65. Sarmah, B.K., Moore, A., Tate, W., Molvig, L., Morton, R.L., Rees, D.P., Chiaiese, P., Chrispeels, M.J., Tabe, L.M. and Higgins, T.J.V. (2004) Transgenic chickpea seeds expressing high level of a bean á-amylase inhibitor. Molecular Breeding. 14: 73-82.

  66. Sawardekar, S.V, Katageri, I.S., Salimath, P.M., Kumar, P.A. and Kelkar, V.G. (2017). Standardization of In-vitro genetic transformation technique in chickpea (Cicer arietinum L.) for pod-borer resistance. Advanced Agricultural Research and Technology Journal.

  67. Sharma, H.C., Jaba, J. and Vashisth, S. (2017). Distinguishing proof and utilization of resistance of insect pests in grain legumes: Progress and limitations Breeding Insect Resistant Crops for Sustainable Agriculture (Berlin: Springer). Pp: 131-70.

  68. Sharma, H.C., Bhagwat, M.P., Pampapathy, G., Sharma, J.P. and Ridsdill-Smith, T.J. (2006). Perennial wild relatives of chickpea as potential sources of resistance to Helicoverpa armigera. Genetic Resources and Crop Evolution. 53(1): 131-138. 

  69. Singh, C. and Singh, N.N. (2014). Occurrence of insect-pests infesting cowpea (Vigna unguiculata walpers) and their natural enemy complex in associations with weather variables. Legume Research. 37(6): 658-664.

  70. Singh, R.K., Singh, C., Ambika, Chandana, B.S., Mahto, R.K., Patial, R., Gupta, A., Gahlaut, V., Gayacharan, Hamwieh, A., Upadhyaya, H.D. and Kumar, R. (2022). Exploring chickpea germplasm diversity for broadening the genetic base utilizing genomic resourses. Frontiers in Genetics. 13.

  71. Singh, S., Kumar, N.R., Maniraj, R., Lakshmikanth, R., Rao, K.Y.S., Muralimohan, N., Arulprakash, T., Karthik, K., Shashibhushan, N.B., Vinutha, T., Pattanayak, D., Dash, P.K., Kumar, P.A. and Sreevathsa, R. (2018). Expression of Cry2Aa, a Bacillus thuringiensis insecticidal protein in transgenic pigeon pea confers resistance to gram pod borer, Helicoverpa armigera.  Scientific Reports. 8(1): 1-12. 

  72. Singh, G., Singh, S. and Sheoran, O.P. (2013). Inheritance of mungbean yellow mosaic virus (MYMV) resistance in mungbean [Vigna radiata (l.) wilczek]. Legume Research: An International Journal. 36: 131-137. 

  73. Sun, S., Zhi, Y., Zhu, Z., Jin, J., Duan, C., Wu, X., et al. (2017). An emerging disease caused by Pseudomonas syringae pv. phaseolicola Threatens mungbean production in China. Plant Dieases. 101: 95-102. doi: 10.1094/PDIS-04-16- 0448-RE.

  74. Syed, R.N., Lodhi, A.M. and Shahzad, S. (2020). Management of Pythium diseases. In Pythium. 314-343.

  75. Talukdar, A., Verma, K., Gowda, D.S.S., Lal, S.K., Sapra, R.L., Singh, K.P., Singh, R. and Sinha, P. (2009). Molecular breeding for charcoal rot resistance in soybean I. Screening and mapping population development. Indian Journal of Genetics and Plant Breeding, 69(04): 367-370.

  76. Tembhurne, B., Belabadevi, B., Kisan, B., Tilak, I., Ashwathanarayana,  D., Suvarna, N. and Naik, M. (2017). Molecular characterization and screening for Fusarium (Fusarium solani) resistance in Chilli (Capsicum annuum L.) genotypes. Int. J. Curr. Microbiol. Appl. Sci. 6(9): 1585-1597.

  77. Thu, T.T., Mai, T.T.X., Dewaele, E., Farsi, S., Tadesse, Y., Angenon, G. and Jacobs, M. (2003) In vitro regeneration and transformation  of pigeonpea [Cajanus cajan (L.) Millsp.] Molecular Breeding. 11: 159-68.

  78. Varshney, R.K., Gaur, P.M., Chamarthi, S.K., Krishnamurthy, L., Tripathi, S., Kashiwagi, J., Samineni, S., Singh, V.K., Thudi, M. and Jaganathan, D. (2013). Fast-track introgression of “QTL-hotspot” for root traits and other drought tolerance traits in JG 11, an elite and leading variety of chickpea. The Plant Genome. 6(3).

  79. Varshney, R.K., Thudi, M., Pandey, M.K., Tardieu, F., Ojiewo, C., Vadez, V., Whitbread, A. M., Siddique, K.H.M., Nguyen, H.T., Carberry, P.S. and Bergvinson, D. (2018). Accelerating genetic gains in legumes for the development of prosperous  smallholder agriculture: Integrating genomics, phenotyping,  systems modelling and agronomy. Journal of Experimental  Botany. 69(13): 3293-3312. 

  80. Wang, H., Shi, Y., Wang, L., Liu, S., Wu, S., Yang, Y., Feyereisen, R. and Wu, Y. (2018). CYP6AE gene cluster knockout in Helicoverpa armigera reveals role in detoxification of phytochemicals and insecticides. Nature Communications.  9(1): 4820-4820. 

  81. Wen, L., Chang, H.X., Brown, P.J., Domier, L.L. and Hartman, G.L. (2019). Genome-wide association and genomic prediction identifies soybean cyst nematode resistance in common bean including a syntenic region to soybean Rhg1 locus. Horticulture Research. 6(1): 1-12. 

  82. Wu, X., Li, G., Wang, B., Hu, Y., Wu, X., Wang, Y., Lu, Z. and Xu, P. (2018). Fine mapping Ruv2, a new rust resistance gene in cowpea (Vigna unguiculata), to a 193-kb region enriched with NBS-type genes. Theoretical and Applied Genetics. 131(12): 2709-2718.

  83. Zargar, S.M., Mahajan, R., Nazir, M., Nagar, P., Kim, S.T., Rai, V., Masi, A., Ahmad, S.M., Shah, R.A., Ganai, N.A., Agrawal, G.K. and Rakwal, R. (2017). Common bean proteomics: Present status and future strategies. Journal of Proteomics. 169: 239-248. 

  84. Zhang, T., Yu, L.X., McCord, P., Miller, D., Bhamidimarri, S., Johnson, D., Monteros, M. J., Ho, J., Reisen, P., Samac, D.A. and Zhang, X. (2014). Identification of molecular markers associated with Verticillium wilt resistance in alfalfa (Medicago sativa L.) using high-resolution melting. PloS One. 9(12). 

  85. Zila, C.T., Samayoa, L.F., Santiago, R., Butron, A. and Holland, J.B. (2013). A genome-wide association study reveals genes associated with fusarium ear rot resistance in a maize core diversity panel. G3 (Bethesda, Md.). 3(11): 2095-2104.

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