Diversity study of Beauveria bassiana species for finding the most virulent strain to manage Bemisia tabaci in cotton.

Beauveria bassiana (Bal.-Criv.) is an important entomopathogenic fungus being used for the management of various agricultural pests worldwide. However, all strains of B. bassiana may not be effective against whitefly, Bemisia tabaci, or other pests, and strains show diversity in their growth, sporulation, virulence features, and overall bioefficacy. Thus, to select the most effective strain, a comprehensive way needs to be devised. We studied the diversity among the 102 strains of B. bassiana isolated from 19 insect species based on their physiological features, virulence, and molecular phylogeny, to identify promising ones for the management of B. tabaci. Strains showed diversity in mycelial growth, conidial production, and their virulence against B. tabaci nymphs. The highest nymphal mortality (2nd and 3rd instar) was recorded with MTCC-4511 (95.1%), MTCC-6289 (93.8%), and MTCC-4565 (89.9%) at a concentration of 1 × 106 conidia ml-1 under polyhouse conditions. The highest bioefficacy index (BI) was in MTCC-4511 (78.3%), MTCC-4565 (68.2%), and MTCC-4543 (62.1%). MTCC-4511, MTCC-4565, and MTCC-4543 clustered with positive loading of eigenvalues for the first two principal components and the cluster analysis also corresponded well with PCA (principal component analysis) (nymphal mortality and BI). The molecular phylogeny could not draw any distinct relationship between physiological features, the virulence of B. bassiana strains with the host and location. The BI, PCA, and square Euclidean distance cluster were found the most useful tools for selecting potential entomopathogenic strains. The selected strains could be utilized for the management of the B. tabaci nymphal population in the field through the development of effective formulations. KEY POINTS: • 102 B. bassiana strains showed diversity in growth and virulence against B. tabaci. • Bioefficacy index, PCA, and SED group are efficient tools for selecting potential strains. • MTCC-4511, 4565, and 4543 chosen as the most virulent strains to kill whitefly nymphs.

Development, Design, and Application of Efficient siRNAs Against Cotton Leaf Curl Virus-Betasatellite Complex to Mediate Resistance Against Cotton Leaf Curl Disease.

Cotton leaf curl disease (CLCuD), caused by the Cotton leaf curl virus, is one of the most irrepressible diseases in cotton due to high recombination in the virus. RNA interference (RNAi) is widely used as a biotechnological approach for sequence-specific gene silencing guided by small interfering RNAs (siRNAs) to generate resistance against viruses. The success of RNAi depends upon the fact that the target site of the designed siRNA must be conserved even if the genome undergoes recombination. Thus, the present study designs the most efficient siRNA against the conserved sites of the Cotton leaf curl Multan virus (CLCuMuV) and the Cotton leaf curl Multan betasatellite (CLCuMB). From an initial prediction of 9 and 7 siRNAs against CLCuMuV and CLCuMB, respectively, the final selection was made for 2 and 1 siRNA based on parameters such as no off-targets, good GC content, high validity score, and targeting coding region. The target sites of siRNA were observed to lie in the AC3 and an overlapping region of AC2-AC1 of CLCuMuV and ßC1 of CLCuMB; all target sites showed a highly conserved nature in recombination analysis. Docking the designed siRNAs with the Argonaute-2 protein of Gossypium hirsutum showed stable binding. Finally, BLASTn of siRNA-target positions in genomes of other BGVs indicated the suitability of designed siRNAs against a broad range of BGVs. The designed siRNAs of the present study could help gain complete control over the virus, though experimental validation is highly required to suggest predicted siRNAs for CLCuD resistance. Supplementary Information: The online version contains supplementary material available at 10.1007/s12088-024-01191-z.

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.