By Kavi Kishor P.B., Rajib Bandopadhyay, Prashanth Suravajhala
A universal method of realizing the useful repertoire of a genome is thru useful genomics. With structures biology burgeoning, bioinformatics has grown to a bigger quantity for plant genomes the place a number of purposes within the type of protein-protein interactions (PPI) are used to foretell the functionality of proteins. With plant genes evolutionarily conserved, the technological know-how of bioinformatics in agriculture has stuck curiosity with myriad of purposes taken from bench part to in silico reviews. a mess of applied sciences within the type of gene research, biochemical pathways and molecular recommendations were exploited to an volume that they devour much less time and feature been not pricey to exploit. As genomes are being sequenced, there's an elevated quantity of expression info being generated now and then matching the necessity to hyperlink the expression profiles and phenotypic version to the underlying genomic version. this may let us determine candidate genes and comprehend the molecular basis/phenotypic version of qualities. whereas many bioinformatics tools like expression and entire genome series information of organisms in organic databases were utilized in vegetation, we felt a typical reference showcasing the studies for such research is short of. We envisage that this dearth will be facilitated within the type of this Springer ebook on Agricultural Bioinformatics. We thank the entire authors and the publishers Springer, Germany for supplying us a chance to study the bioinformatics works that the authors have carried within the contemporary prior and desire the readers may locate this ebook awareness grabbing.
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Additional info for Agricultural Bioinformatics
13. 14. 15. 16. 17. 18. Name of Name of the host plant range the virus Cassava (Manihot esculenta) African cassava mosaic virus Cassava (Manihot esculenta) African cassava mosaic virus Cassava (Manihot esculenta) Sri Lankan cassava mosaic virus Tomato (Solanum Tomato golden lycopersicum) mosaic virus Tomato (Solanum Tomato leaf curl lycopersicum) virus Citrus sinensis and Citrus tristeza C. aurantifolia virus Solanum lycopersicum, Tomato leaf curl Nicotiana benthamiana Java virus Name of the VSRs References AC4 Chellappan et al.
Genetics 8(6):552–560 Schulze TG, McMahon FJ (2002) Genetic association mapping at the crossroads: which test and why? Overview and practical guidelines. Am J Med Genet 114(1):1–11 ˚ , Xu Y (2010) The genetic dissecSemagn K, Bjornstad A tion of quantitative traits in crops. Electron J Biotechnol 13(5) Simko I, Pechenick DA, McHale LK, Truco MJ, Ochoa OE, Michelmore RW, Scheffler BE (2009) Association mapping and marker-assisted selection of the lettuce dieback resistance gene Tvr1. BMC Plant Biol 9:135 Singh A, Reimer S, Pozniak CJ, Clarke FR, Clarke JM, Knox RE, Singh AK (2009) Allelic variation at Psy1A1 and association with yellow pigment in durum wheat grain.
2004; Vanitharani et al. 2005). One of the common virus-encoded PTGS-suppressor proteins that have been identified is the AC4 protein of African cassava mosaic virus Cameroon Strain and Sri Lankan cassava mosaic virus (SLCMV). The possible mechanism of silencing suppression on the miRNA pathway and the subsequent disease development by the geminivirus-encoded silencing suppressors is still unknown. However, later on it has been identified that AC4 may selectively bind the single-stranded sRNAs including miRNAs (Chellappan et al.
Agricultural Bioinformatics by Kavi Kishor P.B., Rajib Bandopadhyay, Prashanth Suravajhala