RESUMO
The growing prevalence of phytoplasma associated symptoms on linseed or flax (Linum usitatissimum L.) germplasm at Indian Council of Agricultural Research- National Bureau of Plant Genetic Resources (ICAR-NBPGR) fields was noticed during the 2019-22 growing seasons. The characteristic phytoplasma symptoms of phyllody, stem fasciation, stunting, along with floral and capsule malformations were observed in 41 linseed accessions grown at experimental fields of ICAR-NBPGR, Delhi. During 3 years, the presence of phytoplasma in symptomatic linseed accessions was confirmed by nested-PCR assays utilizing 16S rRNA and secA gene-specific primers. The 16S rRNA and secA gene sequences of linseed phytoplasma strains from the representative symptomatic 41 linseed accessions exhibited 100% sequence identity among themselves and 99.93% and 99.82% sequence homology with reference strain, 'Candidatus Phytoplasma australasiaticum' (GenBank Accession: Y10097). Phylogenetic analysis of 16S rRNA and secA gene sequences clustered the linseed isolates with the peanut witches' broom group belonging to 'Ca. P. australasiaticum' strains. The virtual RFLP analysis of 16S rRNA F2nR2 fragment (~1.2 kb) of linseed phytoplasma strains further classified it into 16Sr group II, subgroup D. Our results suggested confirmation of the association of 'Ca. P. australasiaticum' strain (16SrII-D) in the linseed germplasm accessions from North India, which is the first report from India. The phytoplasma infection also reduced the growth and yield parameters of two linseed accessions (IC0498748 and EC0718851).
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In surveys conducted from 2020 to 2022, five leaf samples each from symptomatic Agele marmelos trees and seedlings, along with five samples from asymptomatic trees and seedlings, were collected in Ayodhya, Uttar Pradesh, India. The DNA extraction from all the samples was subjected to nested PCR assays, using the universal phytoplasma-specific primers set (P1/P7 followed by R16F2n/R16R2). The resulting 1.2 kb amplified products were observed in all the symptomatic samples but not in the asymptomatic samples. Bael phytoplasma strain sequences from the trees and seedlings were found 100% identical within themselves and only two representative sequences (one each from tree and seedling) were deposited in GenBank (NCBI) as PP415872 (AmA-1) and PP415873 (AmA-2). BLASTn searches revealed the maximum (100%) sequence identity with a phytoplasma strain from murraya little leaf strain of Faizabad (GenBank Acc.no. OP984129) and lowest (99.84%) with arecanut crown choking of Shimoga (GenBank Acc. no. OM417502) from Karnataka. Phylogenetic analysis clustered the bael phytoplasma isolates with peanut witches' broom group phytoplasma strains. Virtual RFLP analysis confirmed their identity as 'Ca. P. australasiaticum', a 16SrII-D subgroup strain. This study presents the first identification of a phytoplasma strain in A. marmelos, emphasizing its potential threat to fruit crops and the need for vigilance in nursery practices to prevent further dissemination.
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Climate change is shifting agricultural production, which could impact the economic and cultural contexts of the oilseed industry, including sesame. Environmental threats (biotic and abiotic stresses) affect sesame production and thus yield (especially oil content). However, few studies have investigated the genetic enhancement, quality improvement, or the underlying mechanisms of stress tolerance in sesame. This study reveals the challenges faced by farmers/researchers growing sesame crops and the potential genetic and genomic resources for addressing the threats, including: (1) developing sesame varieties that tolerate phyllody, root rot disease, and waterlogging; (2) investigating beneficial agro-morphological traits, such as determinate growth, prostrate habit, and delayed response to seed shattering; (3) using wild relatives of sesame for wide hybridization; and (4) advancing existing strategies to maintain sesame production under changing climatic conditions. Future research programs need to add technologies and develop the best research strategies for economic and sustainable development.
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A duplex PCR assay was standardized by optimizing PCR reaction constituents and cycles for the simultaneous detection of chickpea chlorotic dwarf virus (CpCDV) and a peanut witches' broom (PnWB) phytoplasma associated with the chickpea stunt disease. Coat protein gene and tuf gene specific primers for CpCDV and phytoplasmas were used. Different concentrations of the PCR components such as Taq polymerase, primers and PCR annealing temperature were standardized for the identification of the two agents by a duplex PCR assay. Expected amplicons of 590 bp for CpCDV and 1090 bp for phytoplasmas were consistently amplified from the symptomatic chickpea tissues. That resulted in equally efficient and sensitive in detecting single or mixed infection of CpCDV and PnWB phytoplasma in 148 symptomatic chickpea stunt samples collected in two states of India. The results indicate the robustness in the detection of pathogens present in chickpea showing stunt disease and for theoretical use in epidemiological studies that would help the appropriate disease management strategies.
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An investigation was carried out to identify and characterize the phytoplasma and viruses associated with the chickpea varieties showing severe stunting, leaf reddening, yellowing and phyllody symptoms during the summer season of 2018-2019 and 2019-2020 in eight states of India. The average disease incidence was recorded from 3 to 32% in different states. The presence of chickpea chlorotic dwarf virus (CpCDV) was confirmed in thirty-seven chickpea samples by amplification of CpCDV coat protein gene and sequence comparison analysis. No record of association of luteovirus, polerovirus and cucumovirus could be detected in any of the symptomatic chickpea samples by RT-PCR assay. Brassica nigra, B. juncea, Lens culinaris, two weeds (Heteropogan contartus, Aeschynomene virginica) and one leafhopper (Amarasca biguttula) were identified as new putative hosts for CpCDV. Association of peanut witches' broom phytoplasma was confirmed in twenty-eight chickpea samples, Sesamum indicum, five weeds hosts and two leafhopper species (Exitianus indicus, Empoasca motti) using nested PCR assays with primer pairs P1/P7 and R16F2n/R16Rn. The results of phytoplasma association in plants and leafhopper samples were further validated by using five multilocus genes (secA, rp, imp, tuf and secY) specific primers. Sequence comparison, phylogenetic and virtual RFLP analysis of 16S rRNA gene and five multilocus genes confirmed the identity of association of 16SrII-C and 16SrII-D subgroups of phytoplasmas strain with chickpea samples collected from Andhra Pradesh (AP), Telangana, Karnataka, Madhya Pradesh, Uttar Pradesh and New Delhi. Mixed infection of phytoplasma (16SrII-D) and CpCDV was also detected in symptomatic chickpea samples from AP and Telangana. The reports of association of 16SrII-C subgroup phytoplasma in chickpea and 16SrII-D subgroup phytoplasma in C. sparsiflora and C. roseus are the new host records in world and from India, respectively.
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Foot-and-mouth disease (FMD) endangers a large number of livestock populations across the globe being a highly contagious viral infection in wild and domestic cloven-hoofed animals. It adversely affects the socioeconomic status of millions of households. Vaccination has been used to protect animals against FMD virus (FMDV) to some extent but the effectiveness of available vaccines has been decreased due to high genetic variability in the FMDV genome. Another key aspect that the current vaccines are not favored is they do not provide the ability to differentiate between infected and vaccinated animals. Thus, RNA interference (RNAi) being a potential strategy to control virus replication, has opened up a new avenue for controlling the viral transmission. Hence, an attempt has been made here to establish the role of RNAi in therapeutic developments for FMD by computationally identifying (i) microRNA (miRNA) targets in FMDV using target prediction algorithms, (ii) targetable genomic regions in FMDV based on their dissimilarity with the host genome and, (iii) plausible anti-FMDV miRNA-like simulated nucleotide sequences (SNSs). The results revealed 12 mature host miRNAs that have 284 targets in 98 distinct FMDV genomic sequences. Wet-lab validation for anti-FMDV properties of 8 host miRNAs was carried out and all were observed to confer variable magnitude of antiviral effect. In addition, 14 miRBase miRNAs were found with better target accessibility in FMDV than that of Bos taurus. Further, 8 putative targetable regions having sense strand properties of siRNAs were identified on FMDV genes that are highly dissimilar with the host genome. A total of 16 SNSs having > 90% identity with mature miRNAs were also identified that have targets in FMDV genes. The information generated from this study is populated at http://bioinformatics.iasri.res.in/fmdisc/ to cater the needs of biologists, veterinarians and animal scientists working on FMD.
Assuntos
Doenças dos Bovinos/terapia , Febre Aftosa/terapia , Terapêutica com RNAi , Algoritmos , Animais , Bovinos , Doenças dos Bovinos/genética , Biologia Computacional , Febre Aftosa/genética , Vírus da Febre Aftosa/genéticaRESUMO
The Indian sugar industry, a significant player in the national economy, has faced many challenges in the course of its journey. The threat posed by the growing pandemic novel corona virus (COVID-19), has been the most recent one and it is impacting sugar industry stakeholders and its integrated industries, not only in India, but all over the world. The entire value chain of the Indian sugar industry, viz., sugarcane, sugar, molasses, ethanol and their subsequent marketing and export, has been adversely affected from the spillover impacts. The major impacts of COVID-19 on Indian sugar industry are discussed.
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During a survey performed in sapota orchards of India, from 2015 to 2018, symptoms of phyllody, little leaf, flat stem and witches' broom were observed in three states: Karnataka, Kerala and Tripura. The association of phytoplasmas was confirmed in all the symptomatic sapota samples by using nested PCR specific primers (P1/P7, R16F2n/R16R2 and 3Far/3Rev) with amplification of fragments of ~ 1.25 kb and ~ 1.3 kb. Association of three phytoplasma groups, aster yellows with flat stem from Tripura (Lembucherra), clover proliferation with phyllody symptoms at Karnataka (Bengaluru) and bermuda grass white leaf with flat stem and little leaf from Kerala (Thiruvananthapuram) and Tripura (Cocotilla) were confirmed by 16S rRNA gene sequence comparison analysis. Virtual RFLP analysis of 16S rRNA gene sequences using pDRAW32 further classified the sapota phytoplasma isolates into 16SrI-B, 16SrVI-D and 16SrXIV-A subgroups. This is the first report on identification of three phytoplasma groups in sapota in world.
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The presence of phytoplasmas and their associated diseases is an emerging threat to vegetable production which leads to severe yield losses worldwide. Phytoplasmas are phloem-limited pleomorphic bacteria lacking the cell wall, mainly transmitted through leafhoppers but also by plant propagation materials and seeds. Phytoplasma diseases of vegetable crops are characterized by symptoms such as little leaves, phyllody, flower virescence, big buds, and witches' brooms. Phytoplasmas enclosed in at least sixteen different ribosomal groups infecting vegetable crops have been reported thus far across the world. The aster yellows phytoplasma group (16SrI) is presently the prevalent, followed by the peanut witches' broom (16SrII). Wide and overlapping crop and non-crop host ranges of phytoplasmas, polyphagous insect vectors, limited availability of resistance sources and unavailability of environmentally safe chemical control measures lead to an arduous effort in the management of these diseases. The most feasible control of vegetable phytoplasma diseases is a consequence of the development and implementation of integrated disease management programs. The availability of molecular tools for phytoplasma identification at the strain level greatly facilitated this kind of approach. It is moreover essential to understand the molecular basis of phytoplasma-vector interaction, epidemiology and other factors involved in disease development in order to reduce the disease outbreaks. Information on the knowledge about the most widespread phytoplasma diseases in vegetable crops is reviewed here in a comprehensive manner.
RESUMO
Brinjal little leaf (BLL) is a widespread disease of phytoplasma etiology in India that induces severe economic losses. Surveys were conducted in eight brinjal-growing states of India during July 2014 to September 2015 and eighteen BLL samples showing little leaf, phyllody and witches' broom symptoms were collected for phytoplasma identification. Presence of phytoplasmas was confirmed in all the eighteen BLL samples using polymerase chain reaction with phytoplasma-specific primer pairs (P1/P6, R16F2n/R16R2). Pair wise sequence comparison and phylogenetic relationship of 16S rRNA gene sequences of BLL phytoplasma strains confirmed that sixteen out of eighteen BLL strains belonged to clover proliferation phytoplasma (16SrVI) group and two BLL strains (GKP-A and GKP-B) from Gorakhpur, Uttar Pradesh, were classified under 16SrII group. Further virtual RFLP analysis of 16S rDNA sequences allowed finer classification of BLL strains into 16SrII-D and 16SrVI-D subgroups. BLL phytoplasma strains belonging to 16SrVI-D subgroup were found as the most widespread phytoplasma strains associated with BLL disease in India. 16SrVI-D subgroup phytoplasma association with two symptomatic weed species viz. Cannabis sativa subsp. sativa at Noida, Uttar Pradesh and Portulaca oleracea at IARI fields, New Delhi was also confirmed by nested PCR assays with similar set of phytoplasma-specific primers, pairwise 16S rDNA sequence comparison, phylogeny and virtual RFLP analysis. Out of five identified leafhopper species from BLL-infected fields at Noida, Uttar Pradesh and Delhi, only Hishimonas phycitis was identified as carrier and natural vector of 16SrVI-D subgroup of phytoplasmas by nested PCR assays, sequence comparison, phylogeny, virtual RFLP analysis and transmission assays.