Stored grain pests are discovered in food as immature stages, which further complicates the identification process. A DNA barcode dataset of some important pests that can be used for easy and confirm identification in stages of life is constructed. COI genes of three stored grain insect pests i.e,, Sitophilus oryzae, Callosobruchus chinensis and Oryzaephilus surinamensis were sequenced. The sequenced genes were submitted to NCBI GenBank and obtained accession numbers MG967331.1, MG967332.1, MG967333.1 and MK041216.1. BLAST analysis showed 99 to 100% homology with existing GenBank sequences. The nucleotide composition analysis revealed that the value of A+T (64.8%) is greater than G+C (35.2%). Genetic distance among four sequences of three store pests were ranged from 0.00293-0.32807. Phylogenetic analysis showed that these three species are originated from different clades. Haplotype analysis of mitochondrial COI gene of the stored grain insect pests showed high genetic diversity among them. C. chinensis, O. surinamensis and S. oryzae were separated from their common ancestor by 80, 73 and 64 mutational steps. These information may be helpful for attempting any successful control measures against the pest species. In conclusion, present author established the first DNA barcode dataset of three store grain pests and confirmed its efficiency for identifying these pests. Bangladesh J. Zool. 47(1): 1-11, 2019
Tribolium confusum and Tribolium castaneum (Coleoptera: Tenebrionidae) are two very confusing pest species while identification is done on the basis of morphology only. Such pests are discovered in stored grain as immature stages, which further complicates the identification process. Accurate identification of these pests is urgently required for integrated pest management. In this research, DNA barcoding was used to identify these pests accurately at any life stage. A 658 bp fragment of the mitochondrial cytochrome c oxidase subunit I (COI) gene was analyzed. DNA barcode dataset of T. confusum (GeneBank Acc. no. MK120453.1) and T. castaneum (Acc. no. MK411585.1) were constructed. The nucleotide composition reveals that average AT contents (59.9%) were higher than the GC contents (38.6%). Phylogenetic analysis by maximum likelihood method showed that both the species were originated from a common major clade. About 17.13% nucleotide differences were noted between the CO1 sequences by multiple sequence alignment. The interspecies nucleotide genetic distance (0.200) was calculated using Kimura 2 parameter. Haplotype analysis showed high genetic diversity (112 mutaional steps) among them. Bangladesh J. Zool. 47(2): 333-342, 2019
Pest management relies on proper identification of insect species, which usually depends on morphological keys. In this research, DNA barcoding was used to identify three pest species of genus Aulacophora (A. foveicollis, A. lewisii and A. indica) attacking horticultural crops in Bangladesh. Accurate phylogenetic information and evolutionary divergence data were supported and evidenced by various parameters, including the rates of substitution, nucleotide composition and genetic divergence. The nucleotide composition of these three species indicates that the total adenine and thiamine content (A+T, 67.3%) was higher than the guanine and cytosine content (G+C, 32.87%). Intraspecific genetic divergence ranged from 0.0158-0.1415. To confirm the origin and evolution, phylogenetic tree and haplotype network was drawn. Both the maximum likelihood and neighbor joining analyses showed that A. indica and A. foveicollis were clustered in one group, and A. lewisii was originated from another group. Haplotype showed that A. lewisii has the highest amount of mutational steps among the sequenced pests and genetically distant species from its common ancestors by 78 mutational numbers. Present investigation can be reliably treated for developing reference libraries for species identification via sequence matches and designing specific pest management approach. Bangladesh J. Zool. 48(2): 399-411, 2020
Oryza sativa (L.) is one of the world’s most important crop providing staple food for nearly half of the global population. Rice is subjected to considerable damage by a number of grasshoppers. The accurate identification of pest species is a crucial step for the appropriate application of control measures. Molecular characterization and DNA barcoding of grasshopper pests of rice was performed in the present research work. Six species of grasshopper pests were identified from different paddy fields using COI gene sequences. Among the sequences the A+T content (64.2%) was higher than the G+C (35.8%) content. The interspecific genetic distance ranged between 13 and 34%. The haplotype analysis of Conocephalus exemptus showed highest (110) mutated sites among the analyzed species. Both the Maximum likelihood and Neighbor-joining phylogenetic tree construction showed two distinct clades of short-horned and long-horned grasshoppers. C. exemptus was found in another monophyletic group. Our results demonstrate that DNA barcoding is likely to be a powerful tool for identifying and understanding grasshopper evolution. Bangladesh J. Zool. 50 (2): 217-229, 2022
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