ICFRE Scientist-B Exam Pattern & Syllabus
Indian Council of Forestry Research and Education (ICFRE) has released Notification for the post of 54 Scientist B. Applications are invited from interested and eligible candidates. Candidates can apply through Online from 01.04.2019 at 10.00 A.Mto 15.05.2019 at 05.00 P.M.
Candidates selection will be based on Competitive written examination and Interview.
- Written Examination:- 400 marks
- Personal Interview – 70 marks
Indian Council of Forestry Research and Education (ICFRE) Scientist B Exam Pattern & Syllabus is given below go, through the topics, to have an idea of the difficult subjects. Then candidates can plan a schedule for your preparation as per the syllabus. Here is the Exam Pattern & Syllabus for Scientist B.
The question paper (bilingual – in English and Hindi) will have total 100 objective type questions from relevant subject carrying Max. Marks as 400, as below: –
|Particulars of Question Paper||No. of
|Questions on relevant subject||100||400||02.00 Hours|
Cell structure and Function
Cell wall and cell membrane, intracellular transport; Structural organization and functions of cell organelles; Cell division and cell cycle.
Biomolecules and Metabolism
Structure and function of carbohydrates, lipids, proteins and nucleic acids; Synthesis of
carbohydrate, glycolysis, HMP, citric acid cycle and metabolic regulation; Oxidative phosphorylation and substrate level phosphorylation; Vitamins, hormones; Functional molecules, antioxidants, nutrient precursor, HSPs, anti-viral compounds. Enzymes, multienzyme complexes, immobilized enzymes and protein engineering, Analytical tools – NMR, HPLC.
Molecular Biology and Cellular processes
Organization and structure of prokaryotic and eukaryotic of genomes; DNA structure and
properties; DNA replication, repair and recombination; Transcription, protein synthesis, regulation of gene expression at transcription and translation level; Role of chromatin, chromatin remodeling, gene silencing, epigenetic regulation.
Genetics, Phylogeny and Evolution
Mendelian inheritance, codominance, incomplete dominance, gene interactions, pleiotropy, genomic imprinting, linkage and cross-over, linkage disequilibrium; sex-linked inheritance; Quantitative genetics and Polygenic inheritance; Population Genetics and Hardy-Weinberg equilibrium; Extrachromosomal inheritance; Gene concept- Allele, multiple alleles, pseudoalleles; Mutations; Structural and numerical alterations of chromosomes, – Deletion, duplication, inversion, translocation, ploidy and their genetic implications. Mutagens.
Totipotency, tissue culture media, Plant regeneration pathways; tissue culture applications, commercial clonal propagation, NCS-TCP. embryo, Endosperm and Anther culture; Protoplast culture, somatic hybrids; Cell suspension culture, production of secondary metabolites, hairy roots and bioreactor technology.
Recombinant DNA Technology
Gene cloning; In vitro mutagenesis and deletion techniques; PCR, RT-PCR and qRT-PCR;
Methods for analysis of gene expression, large scale expression, bioprocess engineering.
Molecular markers, Gene flow in plants; Marker assisted selection, mapping populations, QTL and association mapping, Gene pyramiding; Mapping genes on specific chromosomes Tools for plant genetic engineering, RNA interference, Transcriptional gene silencing, Gene traps/ T-DNA and transposable element insertion / activation lines, genome editing. Genetic engineering for biotic and abiotic stress tolerance; Plant response to pathogens and herbivores, biochemical and molecular basis of host plant resistance, virology. Intellectual Property Rights (IPR), Biosafety regulations, PPV&FRA, legal implications.
Genomics, proteomics and bioinformatics
Genome sequencing, Taxonomic classification of organisms using molecular markers -16S rRNA typing/sequencing; Differential gene expression; Genotyping/SNP detection; Biological Databases, Computational analysis of sequences- finding genes and regulatory regions; Gene annotation; Similarity searches; Pairwise and multiple alignments; Alignment statistics; Prediction of gene function using homology, context, structures, and networks. Identification and analysis of proteins by 2D analysis; Tryptic digestion of protein and peptide fingerprinting; Mass spectrometry; tools for studying Protein-protein interactions, Protein interaction maps; Protein arrays-definition, applications- diagnostics, and expression profiling.
Research Methodology, types of research designs, sampling methods; Basic statistics- Measures of central tendencies, dispersion, uses of graphs and tables, software in statistical analysis, ANOVA, probability, types of errors in statistics, tests of significance, and sample size.