Molecular marker systems in insects: current trends and future avenues.
Insects comprise the largest species composition in the entire animal kingdom and possess a vast undiscovered genetic diversity and gene pool that can be better explored using molecular marker techniques. Current trends of application of DNA marker techniques in diverse domains of insect ecological studies show that mitochondrial DNA (mtDNA), microsatellites, random amplified polymorphic DNA (RAPD), expressed sequence tags (EST) and amplified fragment length polymorphism (AFLP) markers have contributed significantly for progresses towards understanding genetic basis of insect diversity and for mapping medically and agriculturally important genes and quantitative trait loci in insect pests. Apart from these popular marker systems, other novel approaches including transposon display, sequence-specific amplification polymorphism (S-SAP), repeat-associated polymerase chain reaction (PCR) markers have been identified as alternate marker systems in insect studies. Besides, whole genome microarray and single nucleotide polymorphism (SNP) assays are becoming more popular to screen genome-wide polymorphisms in fast and cost effective manner. However, use of such methodologies has not gained widespread popularity in entomological studies. The current study highlights the recent trends of applications of molecular markers in insect studies and explores the technological advancements in molecular marker tools and modern high throughput genotyping methodologies that may be applied in entomological researches for better understanding of insect ecology at molecular level.
Behura
Susanta K
SK
Department of Entomology, 505 S Goodwin Avenue, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. susanta@life.uiuc.edu
D000818:Animals; D001483:Base Sequence; D004463:Ecology; D005544:Forecasting; D005819:Genetic Markers; D014644:Genetic Variation; D023281:Genomics / Q000639:trends; D007313:Insecta / Q000235:genetics*; D008969:Molecular Sequence Data; D011110:Polymorphism, Genetic
D005819:Genetic Markers