BIOINFORMATICS APPLICATIONS INEVOLUTIONARY HISTORY AND
DIAGNOSTICS OF FUNGUS SPECIES GROUP INCLUDING ROSACEAE
PATHOTYPES
EMAN ZAKARIA MOHAMED FARAG
FACULTY OF SCIENCE, MENOUFIA UNIVERSITY.
2018
University of Sadat City
Genetic Engineering and Biotechnology Research Institute (GEBRI)
Bioinformatics Department
3.
SUPERVISION COMMITTEE:
• Prof.Dr. El-Sayed Abd El-Khalk El-Absawy
Emeritus Professor of Plant breeding, Bioinformatics Department, Genetic Engineering and
Biotechnology Research Institute (GEBRI), University of Sadat City.
• Dr. Waleed Mahmoud Ead
Associate Professor of Information Systems, Faculty of Computers and Artificial Intelligence,
Beni-Suef University.
University of Sadat City
Genetic Engineering and Biotechnology Research Institute (GEBRI)
Bioinformatics Department
4.
APPROVAL COMMITTEE
• Prof.Dr. El-Shawadfi Mansour Mousa
Emeritus Professor of Nematode Plant Pathology, Advisor to the Minister of Higher Education, Plant
Pathology Department, Faculty of Agriculture, Menoufia University.
• Prof. Dr. Abd El-Fattah Mondy Zanaty
Emeritus Professor of Genetics, Genetics Department, Faculty of Agriculture, Menoufia University.
University of Sadat City
Genetic Engineering and Biotechnology Research Institute (GEBRI)
Bioinformatics Department
Apple (Malus demostica)
HighlyProductive Fruit.
Cultivated in temperate regions worldwide.
Rich in Fiber, Vitamins, Minerals, and
Antioxidants.
Fire blight
Alternaria blotch
Although the levelof susceptibility of apple cultivars to Alternaria blotch varies, the cutivars
‘Delicious,’ ‘Indo,’ and their sports and descendants are particularly susceptible.
11.
Bioinformatics is aninterdisciplinary field of science that
develops methods and software tools for understanding
biological data, especially when the data sets are large
and complex.
Bioinformatics uses biology, chemistry, physics, computer
science, computer programming, information engineering,
mathematics and statistics to analyze and interpret
biological data.
1. Perform genomeorganization and
characterization using bioinformatics
software and servers
To identify the functional
genes of resistance/
susceptibility in “Starking
Delicious” BAC clones.
To identify and characterize
the virulence genes in
Alternaria alternata isolate
(AM-BAC-14).
2. Construct the 3D structure of proteins
for the integration and correlation of the
structural and functional analysis of target
genes and proteins using bioinformatics
approaches.
3. Identify the key functional motifs
and active sites of these target
proteins for inhibition their functions .
Bioinformatics Approaches andTools for Genome Analysis
In-silico Gene Prediction
and Characterization
Multiple Sequence
Alignment and Prediction of
Conserved Regions
Molecular Evolution and
Phylogenetic Analysis
Domain Separation
FGENESH
GeneMark
ORF Finder
GeneID
BLASTp
BioEdit
Clustal
Omega
MEGA 11
MAFFT
InterProDB
NCBI-CDD
17.
Bioinformatics Approaches andTools For Proteome Analysis
Three-Dimensional
(3D) Structure
Prediction
Model
Refinement
Model
Evaluation
Conserved Motifs Prediction
Structural Classification of
Protein
I-TASSER
Alphafold
Swiss-Model
Robetta
GalaxyWeb
ModRefiner
TM-score
TM-align
Structure
Assessment
QMEAN
ERRAT
MotifFinder
SMART
ScanProsite SCOP
CATH
Amino acid sequencealignment of predicted genes of SD_A4,
SD_A6 and SD_a2. Alignment was performed using Clustal omega
26.
Amino acid sequencealignment of predicted genes of SD_A9 and SD_a5. Alignment
was performed using Clustal omega
an essential regulator of plant defense pathways
FIRST: CONSTRUCTION OF
INITIALMODEL USING TARGET-
TEMPLATE ALIGNMENT.
SECOND: REDUCED-LEVEL
STRUCTURE ASSEMBLY AND
REFINEMENT SIMULATIONS.
THIRD: MODEL EVALUATION
AND SELECTION
* Through insilico analysis of BAC clones SD-178_L15 and SD-241_O0, we
identified several candidate genes within the Alt region on chromosome 11,
which may contribute to the plant’s response to the pathogen.
* The identification of CC-NB-LRR class R proteins (SD_A4, SD_A5, SD_A6, SD_a2) within
the Alt candidate region supports their potential involvement in recognizing pathogen
effectors and triggering a hypersensitive response (HR). Additionally, the presence of RIN4
(SD_A9, SD_a5) indicates its potential role in plant defense against the Alternaria
alternata apple pathotype.
49.
* Additionally, theconstructed 3D structural models provide a graphical
illustration of the key motifs involved in AM-toxin production,
establishing the basis for future research on the pathogenicity pathways
of A. alternata and for the inhibition of these proteins.
*Our results will be useful for developing improved disease
management measures, as well as improving our understanding of the
co-evolution of plant defense mechanisms and fungal pathogenicity.
Prof. Dr.El-Shawadfi Mansour Mousa
Prof. Dr. Abd El-Fattah Mondy Zanaty
Prof. Dr. El-Sayed Abd El-Khalk El-Absawy
Dr. Waleed Mahmoud Ead
Dr. Mohamed El-Sayed Mohamed Hasan
Bioinformatics Department