Nanoparticle-Shielded dsRNA Delivery for Enhancing RNAi Efficiency in Cotton Spotted Bollworm Earias vittella (Lepidoptera: Nolidae).

The spotted bollworm Earias vittella (Lepidoptera: Nolidae) is a polyphagous pest with enormous economic significance, primarily affecting cotton and okra. However, the lack of gene sequence information on this pest has a significant constraint on molecular investigations and the formulation of superior pest management strategies. An RNA-seq-based transcriptome study was conducted to alleviate such limitations, and de novo assembly was performed to obtain transcript sequences of this pest. Reference gene identification across E. vittella developmental stages and RNAi treatments were conducted using its sequence information, which resulted in identifying transcription elongation factor (TEF), V-type proton ATPase (V-ATPase), and Glyceraldehyde -3-phosphate dehydrogenase (GAPDH) as the most suitable reference genes for normalization in RT-qPCR-based gene expression studies. The present study also identified important developmental, RNAi pathway, and RNAi target genes and performed life-stage developmental expression analysis using RT-qPCR to select the optimal targets for RNAi. We found that naked dsRNA degradation in the E. vittella hemolymph is the primary reason for poor RNAi. A total of six genes including Juvenile hormone methyl transferase (JHAMT), Chitin synthase (CHS), Aminopeptidase (AMN), Cadherin (CAD), Alpha-amylase (AMY), and V-type proton ATPase (V-ATPase) were selected and knocked down significantly with three different nanoparticles encapsulated dsRNA conjugates, i.e., Chitosan-dsRNA, carbon quantum dots-dsRNA (CQD-dsRNA), and Lipofectamine-dsRNA conjugate. These results demonstrate that feeding nanoparticle-shielded dsRNA silences target genes and suggests that nanoparticle-based RNAi can efficiently manage this pest.

Transcriptome analysis unravels RNAi pathways genes and putative expansion of CYP450 gene family in cotton leafhopper Amrasca biguttula (Ishida).

Cotton Leafhopper, Amrasca biguttula is an important pest of cotton and okra in the Indian subcontinent. Presently limited genomic/transcriptomic information is available for this insect in any of open source databases. The present study reports the first assembled and annotated de novo transcriptome of cotton leafhopper. Out of 75,551 transcripts, 39,613 CDS (Coding Sequence) were predicted with 35,282 showing positive blast hits with NCBI nr database. The Gene ontology (GO) analysis annotated 7431 CDS  with KEGG pathway categorizing these CDS into 22 different functional groups. The majority of CDS were annotated in signal transduction and transport catabolism pathways. The sequence data was screened for RNAi pathway genes and presence of 37 transcripts associated with this process confirmed the existence of robust RNAi machinery. The role of core RNAi machinery genes (Dicer-2, Ago-2, Piwi and Staufen) has been validated through dsRNA feeding studies. The data resource has also been used to identify potential RNAi targets and genes associated with insecticide detoxification specifically CYP 450 family. The current study provides a useful sequence resource which can be used to initiate molecular studies in this insect with emphasis on insecticide resistance, RNAi and functional genomics.

RNA sequencing, selection of reference genes and demonstration of feeding RNAi in Thrips tabaci (Lind.) (Thysanoptera: Thripidae).

BACKGROUND: Thrips tabaci is a severe pest of onion and cotton. Due to lack of information on its genome or transcriptome, not much is known about this insect at the molecular level. To initiate molecular studies in this insect, RNA was sequenced; de novo transcriptome assembly and analysis were performed. The RNAseq data was used to identify reference and RNAi pathway genes in this insect. Additionally, feeding RNAi was demonstrated in T. tabaci for the first time. RESULTS: From the assembled transcriptome, 27,836 coding sequence (CDS) with an average size of 1236 bp per CDS were identified. About 85.4% of CDS identified showed positive Blast hits. The homologs of most of the core RNAi machinery genes were identified in this transcriptome. To select reference genes for reverse-transcriptase real-time quantitative PCR (RT-qPCR) experiments, 14 housekeeping genes were identified in the transcriptome and their expression was analyzed by (RT-qPCR). UbiCE in adult, 28s in nymphs and SOD under starvation stress were identified as the most stable reference genes for RT-qPCR. Feeding dsSNF7 and dsAQP caused 16.4- and 14.47-fold reduction in SNF7 and AQP mRNA levels respectively, when compared to their levels in dsGFP fed control insects. Feeding dsSNF7 or dsAQP also caused 62 and 72% mortality in T. tabaci. Interestingly, simultaneous feeding of dsRNAs targeting SNF7 or AQP and one of the RNAi pathway genes (Dicer-2/Aubergine/Staufen) resulted in a significant reduction in RNAi of target genes. These data suggest the existence of robust RNAi machinery in T. tabaci. CONCLUSION: The current research is the first report of the assembled, analyzed and annotated RNAseq resource for T. tabaci, which may be used for future molecular studies in this insect. Reference genes validated across stages and starvation stress provides first-hand information on stable genes in T. tabaci. The information on RNAi machinery genes and significant knockdown of the target gene through dsRNA feeding in synthetic diet confirms the presence of efficient RNAi in this insect. These data provide a solid foundation for further research on developing RNAi as a method to manage this pest.

Investigating the second whitefly population outbreak within a decade in the cotton growing zone of North India.

The whitefly, Bemisia tabaci (Gennadius), is a polyphagous and major pest of cotton worldwide. Both adults and nymphs of B. tabaci affect the crop by causing direct and indirect damage. A severe whitefly outbreak was experienced during 2015 on cotton in North India and this was followed by a profound infestation during 2022. The present research rigorously examined whether the proliferation in the whitefly population was an outbreak or the result of a multi factor resurgence. During 2015, whitefly counts remained above the economic threshold level (ETL) between 28th and 35th Standard Meteorological Week (SMW). However, during 2022 above ETL population was observed in 27th SMW and it persisted until 36th SMW. The peak incidence of the whitefly was noticed during 31st and 29th SMW in 2015 and 2022, respectively. The early pest build up in 2022 and longer persistence (≥10 weeks) over the cotton season resulted in more damage to cotton crop. Additionally, pest survillence across the zone on the farmers' fields during 2022 revealed 44.4 per cent spots (585 out of 1,317 locations) above ETL while the corresponding locations in 2015 was 57% (620 out of 1,089). Thus, in 2022 infestation was not uniform in the entire zone wherein only few blocks of Punjab, Haryana and Rajasthan states of India experienced severe infestations of the whitefly. This study reports the complex of factors including weather, delayed sowing, use of tank mixtures/ subleathal doses of insecticides, pest resurgence etc. that might have possibly contributed to these upsurges in whitefly on cotton in north India.

Doublesex homolog is sex-specifically spliced and governs the sexual differentiation process in the whitefly Bemisia tabaci AsiaII-1.

The silverleaf whitefly Bemisia tabaci is one of the most destructive of crop pests globally. In Northern India cotton is predominately infested by the Asia II-1 species of B. tabaci. Though B. tabaci exhibits unique haplodiploidy in its reproductive behavior, to date very little is known regarding its sex determination mechanism. Here, an in-depth characterization of the AsiaII-1 doublesex (Btdsx) gene, which has been implicated in sex determination in B. tabaci, indicates the inclusion of six exons and five introns. The pre-mRNA is shown to sex-specifically splice, producing four male isoforms and one female isoform. These BtDsx proteins share common DNA binding (OD1) domains whereas they differ at their C-termini. RT-qPCR analysis revealed a significantly higher expression of Btdsx in female adults compared to that in male adults and earlier developmental stages. Functional characterization of Btdsx through RNA interference (RNAi) resulted in a significant reduction in its expression in both sexes. Btdsx knockdown concomitantly resulted in up-regulation of the expression of vitellogenin (vg) and vitellogenin receptor (vgr) genes in males and their down-regulation in females. Btdsx knockdown followed by mating resulted in reduced fecundity and percent egg hatching; however, no impact was observed on the female: male ratios in the progeny obtained from knockdown parents.

Direct estimation of carbaryl by gas liquid chromatography with nitrogen phosphorus detection.

A simple and efficient analytical method was standardized for the estimation of residues of carbaryl in various substrates comprising grape berries, kinnow pulps, kinnow rind and soil. The samples were refluxed using mixture of methanol: 0.5 N HCl (1:1 v/v); diluted with brine solution, partitioned into chloroform and dried over anhydrous sodium sulfate. Further the samples were treated with anhydrous magnesium sulfate and primary secondary amine. Final clear extracts were concentrated under vacuum and reconstituted the volume into acetone. The residues were estimated directly on gas liquid chromatograph equipped with nitrogen phosphorus detection system equipped with a capillary column packed with 5 % diphenyl 95 % dimethyl polysiloxane non-polar phase. A consistent recovery from 82 % to 97 % for carbaryl was observed when samples were spiked at levels ranging from 0.05 to 1.00 mg kg(-1). The limit of quantification of the method was worked out to be 0.05 mg kg(-1) for grape berries, kinnow pulp, kinnow rind and soil.

Persistence and dissipation kinetics of deltamethrin on chili in different agro-climatic zones of India.

Multi-location supervised field trials were conducted at four different agro climatic locations in India to evaluate the dissipation pattern of deltamethrin on chili. Deltamethrin 10 EC was applied on chili @17.5 and 35 g a.i. ha(-1), samples of green chili were drawn at different time intervals and that of red chili and soil at harvest time and quantified by gas liquid chromatography equipped with electron capture detector. The identity of residues were confirmed by Gas Chromatograph-Mass Spectrophotometer in selective ion monitoring mode in mass range 181, 253 m/z. Limit of quantification of the method was found to be 0.01 mg kg(-1). Half-life of deltamethrin at application rate of 17.5 g a.i. ha(-1) varied from 0.36 to 1.99 days and at double the application rate was found to range from 0.38 to 2.06 days. Residues of deltamethrin were found below its determination limit of 0.01 mg kg(-1) in red chili and soil. On the basis of the data generated, Deltamethrin 10 EC has been registered for use on chili in India and its Maximum Residue Limit has been fixed as 0.05 µg/g.

Inheritance and molecular tagging of genes introgressed from Gossypium arboreum to G. hirsutum for leafhopper tolerance.

Cotton cultivation is conquered by transgenic Bt upland cotton hybrids in India. Bt gene does not provide resistance against sucking insect pests. Due to the inherent vulnerability of extant Bt cotton hybrids to sap-sucking insect pests including leafhopper, upland cotton cultivation is seriously threatened by surging populations of these pests. Consistent and extensive screening of upland cotton germplasm over the years has revealed absence of adequate resistance against leafhopper. Here, we report introgression of leafhopper tolerance from a diploid A-genome cotton species, Gossypium arboreum into G. hirsutum. The dominance of leafhopper tolerance was observed over its susceptibility. Genetic analysis revealed that tolerance to leafhopper was inherited in a simple Mendelian fashion and was controlled by two genes, either singly or in combination. Using bulked segregant analysis, two simple-sequence repeat markers, namely NAU 922 and BNL 1705, located on chromosomes A5 and A11 respectively, were tagged with leafhopper tolerance. To the best of our knowledge, this is the first report of molecular tagging of leafhopper tolerance introgressed from G. arboreum into G. hirsutum. A significant negative association was observed between leaf trichome density and leafhopper nymph population.

Identification and validation of stage-specific reference genes for gene expression analysis in Callosobruchus maculatus (Coleoptera: Bruchidae).

In light of a number of recent studies highlighting the increasing research interest in bruchids, it is crucial to validate suitable reference genes that could be used in quantitative gene expression studies. Callosobruchus maculatus is a serious pest of stored grains and field legumes in which reference genes have not been assessed and validated to date. The present study aimed to identify and validate reference genes in different developmental stages of C. maculatus shortlisted from commonly used reference genes such as VATPase, TRIP12, TBP, TF11D, ACTIN, GST, ANNEXIN, PTCD3, RPL32, and ß -Tub in various insects. Dedicated algorithms like GeNorm, NormFinder, and BestKeeper were used to analyze the stability of these candidate genes, which revealed GST for third instar, ANNEXIN and PTCD3 for the fourth instar, TF11D and VATPase for male pupa, RPL32 and ß-tub for female pupa, ß-tub and TBP for adult male and VATPase and GST for adult females as suitable reference genes for expression studies in C. maculatus. The final comprehensive ranking using RefFinder identified GST and TBP as the best reference genes for all the developmental stages of C. maculatus. To the best of our knowledge, this is the first report which evaluates and validates stable reference genes in C. maculatus. The information of stage-specific gene expression, generated in this study will be useful for future molecular, physiological, and biochemical studies on C. maculatus and other closely related bruchids.

Author Correction: Using de novo transcriptome assembly and analysis to study RNAi in Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae).

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Reference Gene Selection in Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) and Their Normalization Impact on Gene Expression in RNAi Studies.

Phenacoccus solenopsis, the cotton mealybug (Hemiptera: Pseudococcidae), is one of the major cotton pests in India. Scanty information is available on molecular studies in this insect due to limited genomic or transcriptomic sequence data. With advancement in sequencing technology, enormous genomic and sequencing data are being generated, and RNAi studies are being undertaken in insects, which require reverse transcription quantitative polymerase chain reaction evaluation. These gene expression studies require normalization of mRNA levels with reference genes to account for sample variability. To supplement the molecular studies in this insect, candidate reference genes were identified and evaluated for their expression stability across various developmental stages and starvation stress. Fourteen candidate reference genes including several commonly used ones were investigated across five different stages and under starvation stress using four different statistical algorithms (NormFinder, genNorm, BestKeeper, and RefFinder). Based on this analysis, GST (third, fourth, and adult stage), Actin (Crawler, second instar), TFIID (starvation stress), SDHA, and 28s were identified as best reference genes for expression studies in mealybug.

Evaluation and validation of experimental condition-specific reference genes for normalization of gene expression in Asia II-I Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae).

Functional genomics in whitefly, Bemisia tabaci is gaining impetus due to its polyphagous nature, worldwide distribution and recently sequenced whole genome. These studies require an in-depth evaluation and validation of reference genes in different development stages and variable experimental setups. Normalization with reference genes is an essential step in the gene expression studies. Rather than selecting a reference gene empirically, the suitability of these genes must be validated for an individual organism, its specific stage or even for particular experimental conditions. The Quantitative real-time polymerase chain reaction (RT-qPCR) has evolved as an efficient and widely used technique for precise monitoring of gene expression. The prime focus of this study was to identify candidate reference genes in different developmental stages (adults, nymphs, eggs), sex (male and female), hosts (Gossypium hirsutum, G. arboreum), and under insecticidal and starvation stress. Expression stability of these genes in different experimental samples was evaluated by employing five different computational algorithms such as NormFinder, BestKeeper, Comparative delta-CT, geNorm and RefFinder. Our results identified a different set of reference genes under each experimental setup such as electron transfer flavoprotein-ubiquinone oxidoreductase (ETF-QO), ubiquitin (UBIQ) and glyceraldehyde 3-phosphate dehydrogenase (GAPDH) as best reference genes in adult whitefly. In addition, glutathione S-transferase (GST) in eggs, cyclophilin (CYCLOPH) in red eyed nymph, GAPDH in third instar, tubulin (Tub) in female, ubiquitin ribosomal protein S27 (UBIRPS2) in male, succinate dehydrogenase complex subunit B (SDHB) under insecticidal stress, ETF-QO under starvation stress, UBIRPS2 under host influence were the top most stable genes. Our studies report the importance of selection of specific reference genes for accurate gene expression studies under various experimental setups in B. tabaci.

Using de novo transcriptome assembly and analysis to study RNAi in Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae).

Phenacoccus solenopsis is one of the major polyphagous crop pests in India. Inadequate genomic or transcriptomic resources have limited the molecular studies in this insect despite its huge economic importance. The existing molecular sequence resources of this insect were supplemented through RNA sequencing, de novo transcriptome assembly and analysis, which generated 12, 925 CDS from 23,643 contigs with an average size of 1077.5 bp per CDS and 85.1% positive BLAST hits with NCBI Non redundant (nr) database. Twenty three genes involved in RNAi machinery identified through BLASTx search against NCBI nr database suggested the existence of robust RNAi in mealybug. RNAi in P. solenopsis was demonstrated through knockdown of IAP (Inhibitor of Apoptosis), AQP (Aquaporin), CAL (Calcitonin), VATPase (V-type proton ATPase subunit F 1), bursicon, chitin synthase, SNF7 and α-amylase by injecting sequence specific dsRNA of respective genes in adult female. Additionally, feeding RNAi has been demonstrated in 2nd instar nymph through dsRNA uptake in plant. The knockdown of core RNAi machinery genes such as Dicer, Argonaute and Staufen significantly hampered RNAi efficiency in this insect. However, downregulation of dsRNases improved RNAi efficiency. Sequential studies for understanding RNAi in P. solenopsis using transcriptome sequences have also been reported. The present study provides a base for future research on developing RNAi as strategy for management of this pest.

Selection of housekeeping genes and demonstration of RNAi in cotton leafhopper, Amrasca biguttula biguttula (Ishida).

Amrasca biguttula biguttula (Ishida) commonly known as cotton leafhopper is a severe pest of cotton and okra. Not much is known on this insect at molecular level due to lack of genomic and transcriptomic data. To prepare for functional genomic studies in this insect, we evaluated 15 common housekeeping genes (Tub, B-Tub, EF alpha, GADPH, UbiCF, RP13, Ubiq, G3PD, VATPase, Actin, 18s, 28s, TATA, ETF, SOD and Cytolytic actin) during different developmental stages and under starvation stress. We selected early (1st and 2nd), late (3rd and 4th) stage nymphs and adults for identification of stable housekeeping genes using geNorm, NormFinder, BestKeeper and RefFinder software. Based on the different algorithms, RP13 and VATPase are identified as the most suitable reference genes for quantification of gene expression by reverse transcriptase quantitative PCR (RT-qPCR). Based on RefFinder which comprehended the results of three algorithms, RP13 in adults, Tubulin (Tub) in late nymphs, 28S in early nymph and UbiCF under starvation stress were identified as the most stable genes. We also developed methods for feeding double-stranded RNA (dsRNA) incorporated in the diet. Feeding dsRNA targeting Snf7, IAP, AQP1, and VATPase caused 56.17-77.12% knockdown of targeted genes compared to control and 16 to 48% mortality of treated insects when compared to control.