Coat Protein 1 Gene of Indonesian Isolates of Rice Tungro Spherical Virus showed High Divergence with those from other South and South East Asian Regions

Abstract

Background: Tungro, an important viral disease in rice, is a co-infection of rice tungro bacilliform virus (RTBV) and rice tungro spherical virus (RTSV). Severe symptoms were reported in rice fields on two major islands in Indonesia: Jawa (Magelang District) and Sulawesi (Sidrap District). Objective: Sequences of global isolates currently registered in NCBI GenBank were examined with two new Indonesian isolates to understand the phylogeny of RTSV based on different genome regions as well as to spot the gap in the molecular data of Indonesian isolates. Methods: Transmission test of RTSV using the vector green leaf hopper was performed, and then the complete sequences of coat protein 1 (CP1) gene of Magelang and Sindrap districts were molecularly studied using MEGA X software and Recombination Detection Program. Results: The obtained complete sequence of coat protein 1 (CP1) gene of Magelang-7 (OQ426495) and Sindrap-9 (OQ426496) isolates were aligned with 39 isolates in NCBI GenBank. Sequences of other isolates in GenBank were also retrieved and then aligned according to six individual Open Reading Frames (ORFs) and ‘Full ORF’. Recombination analysis detected significant signals in the genomes of one partially and four fully sequenced isolates. Phylogenetic study also confirmed the frequent recombination among RTSV isolates clustered in two geographically separated groups: South East Asia and South Asia. Conclusion: Although the available data is still rudimentary, this study demonstrated that the CP1 gene of 21 isolates from different regions of Indonesia was highly identical among themself but divergent with isolates from other countries. Therefore, deep molecular comprehension on Indonesian isolates is necessary to manage the recurrent Tungro spread in the country.

Cross amplification of 16S rRNA bacterial primer 27F/1492R on horticultural crop chloroplast genome

“…Sequences of NCBI GenBank isolates with high percentage identities and coverage of at least 99% to the newly obtained isolates from Ngablak Subdistrict were aligned using ClustalW suits in MEGA X freeware (Kumar et al, 2018), and then trimmed according to the lengths of sequences of new isolates (Praptana et al, 2023). For additional comparison and conserved region analysis, sequences from different organisms including plant pathogenic bacteria, plant growth promoting rhizobacteria (PGPR), microalgae, cyanobacteria, and vascular plant were added to the alignment (Table 1).…”