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Bio Summit & Molecular Biology 2016
October 10-12, 2016
Volume 6, Issue 6(Suppl) J Biotechnol Biomater
ISSN: 2155-952X JBTBM, an open access journal
conferenceseries .com
October 10-12, 2016 Dubai, UAE
2nd World Congress on
Bio Summit & Molecular Biology Expo
J Biotechnol Biomater 2016, 6:6(Suppl)
Optical processing for the analysis of genetic data sequencing
Abdullah K Alqallaf
Kuwait University, Kuwait
An optical image processing technique can be proposed for analyzing and exploring DNA sequences. The approach uses
the powerful computing capability of optical correlation to provide real-time processing of the genomic data. Instead
of representing the symbolic DNA sequences in numeric form, they are converted and treated as 2-D images for matching
purposes. Both images of the reference and the target DNA sequences are combined and presented as a joint input image to
an optical joint transform correlator (JTC) set-up for a real-time processing. This JTC-based approach is capable to search
for similarity/dissimilarity between two tested DNA sequences. The optical approach can facilitates the exhaustive search
algorithms for locally and/or globally DNA alignment. Simulations experimental results on actual DNA sequences will be
presented to demonstrate the effectiveness of the proposed optical approach.
Identification and verification of QTL associated with frost tolerance using linkage mapping and
GWAS in winter faba bean
Ahmed Sallam1, 3, Mustapha Arbaoui2, Mohamed El-Esawi4, 5 and Regina Martsch6
1Assiut University, Egypt
2Hassan II Institute of Agronomy and Veterinary Medicine, Morocco
3University of Nebraska-Lincoln, USA
4Tanta University, Egypt
5KU Leuven, Belgium
6University of Gottingen, Germany
Frost stress is one of abiotic stresses, which cause a significant reduction in winter faba bean yield in Europe. The main
objective of this work is to genetically improve frost tolerance in winter faba bean by identifying and validating QTL
associated with frost tolerance to be used inmarker-assisted selection. Two different genetic backgrounds were used a biparental
population (BPP) consisting of 101 inbred lines and 189 genotypes from single seed descent (SSD) from the Gottingen Winter
Bean Population (GWBP). All experiments were conducted in a frost growth chamber under controlled conditions. Both
populations were genotyped using the same set of 189 SNP markers. Visual scoring for frost stress symptoms was used to define
frost tolerance in both populations. In addition, leaf fatty acid composition (FAC) and proline content were analyzed in BPP
as physiological traits. QTL mapping (for PBB) and genome wide association studies (for GWBP) were performed to detect
QTL associated with frost tolerance. High genetic variation between genotypes and heritability estimates were found for all
traits. QTL mapping and GWAS identified new putative QTL associated with promising frost tolerance and related traits. A
set of common 54 SNP markers in both two different genetic backgrounds showed a high genetic diversity with polymorphic
information content ranged from 0.31 to 0.37 and gene diversity ranged from 0.39 to 0.50, indicating that these markers could
be used for genotyping any faba bean population. Five SNP markers showed a significant marker-trait association with frost
tolerance and related traits in both populations. Moreover, synteny analysis between Medicago truncatula (model legume) and
faba bean genomes was performed to identify candidate genes of these markers. Collinearity was evaluated between the faba
bean genetic map constructed in this study and the faba bean consensus map, resulting in identifying possible genomic regions
in faba bean which may control frost tolerance genes. The two genetic backgrounds were useful in detecting new variation
to improve frost tolerance in winter faba bean. Of the five validated SNP markers, one (VF_Mt3g086600) was found to be
associated with frost tolerance and FAC in both populations. This marker was also associated with winter hardiness and high
yield in earlier studies. This marker is located in a gene of unknown function.