Mohd Noor Mat Isa

NBBnet - The National Biotechnology and Bioinformatics Network: A Malaysian initiative towards a national infrastructure for bioinformatics

Bioinformatics is a necessary technology and tool, which current molecular biologists cannot do without in light of the genome data explosion and advent of fields such as genomics and proteomics. Yet, even with this in mind, there is still a limited pool of human resource to support and develop bioinformatics particularly in poorer developing nations. The highly multidisciplinary nature of this field can be an obstacle in converting just any molecular biologist into a proficient and capable bioinformaticist. Coupled with the high costs of software, hardware, technical maintenance and systems support; many developing and poor countries may not be able to fully realize their biotech potential either academically or economically due to the inability to fully utilize bioinformatics as a technology to support and co-develop with molecular biology oriented research programmes. Malaysia, a developing South East Asian nation took steps to counter these problems and develop an infrastructure for bioinformatics to support nationally important biotech research agendas, particularly government initiatives in genomics and proteomics, with the setting up of NBBnet - The National Biotechnology and Bioinformatics network. We further propose the setting up of similar models in other developing countries, an endeavour which we are willing to share our experiences and resources. We hope that these networks may in the future evolve into a super network of national or regional networks on biotechnology and bioinformatics.

A comparative genomic analysis of the alkalitolerant soil bacterium Bacillus lehensis G1

Bacillus lehensis G1 is a Gram-positive, moderately alkalitolerant bacterium isolated from soil samples. B. lehensis produces cyclodextrin glucanotransferase (CGTase), an enzyme that has enabled the extensive use of cyclodextrin in foodstuffs, chemicals, and pharmaceuticals. The genome sequence of B. lehensis G1 consists of a single circular 3.99 Mb chromosome containing 4017 protein-coding sequences (CDSs), of which 2818 (70.15%) have assigned biological roles, 936 (23.30%) have conserved domains with unknown functions, and 263 (6.55%) have no match with any protein database. Bacillus clausii KSM-K16 was established as the closest relative to B. lehensis G1 based on gene content similarity and 16S rRNA phylogenetic analysis. A total of 2820 proteins from B. lehensis G1 were found to have orthologues in B. clausii, including sodium-proton antiporters, transport proteins, and proteins involved in ATP synthesis. A comparative analysis of these proteins and those in B. clausii and other alkaliphilic Bacillus species was carried out to investigate their contributions towards the alkalitolerance of the microorganism. The similarities and differences in alkalitolerance-related genes among alkalitolerant/alkaliphilic Bacillus species highlight the complex mechanism of pH homeostasis. The B. lehensis G1 genome was also mined for proteins and enzymes with potential viability for industrial and commercial purposes.

EMASGRID: an NBBnet grid initiative for a bioinformatics and computational biology servicesinfrastructure in malaysia

The plethora of bioinformatics tools currently available to the biologist, and the diversity of problems that these applications were designed to solve, has necessitated a look at providing a single environment which can serve as an interface to these many applications. At the same time, this environment should also be able to function as an infrastructure resource with adequate computational capacity to solve the data volume which is currently available from numerous genomics projects. We discuss the setting up of a national level infrastructure initiative which utilizes grid computing technology to serve geographically distributed users in Malaysia. This infrastructure was designed to provide access to high performance computational resources made available by Sun Microsystems Sun Grid Engine (SGE) using different interfaces which access a pipeline of bioinformatics software. The underlying computer system, such as operating systems and high performance computing applications, were bypassed with the creation of an application layer of bioinformatics tools (BioGrappler) or by accessing the compute resources by the Grid Engine Portal (BioBox).

The Glaciozyma antarctica genome reveals an array of systems that provide sustained responses towards temperature variations in a persistently cold habitat

Extremely low temperatures present various challenges to life that include ice formation and effects on metabolic capacity. Psyhcrophilic microorganisms typically have an array of mechanisms to enable survival in cold temperatures. In this study, we sequenced and analysed the genome of a psychrophilic yeast isolated in the Antarctic region, Glaciozyma antarctica. The genome annotation identified 7857 protein coding sequences. From the genome sequence analysis we were able to identify genes that encoded for proteins known to be associated with cold survival, in addition to annotating genes that are unique to G. antarctica. For genes that are known to be involved in cold adaptation such as anti-freeze proteins (AFPs), our gene expression analysis revealed that they were differentially transcribed over time and in response to different temperatures. This indicated the presence of an array of adaptation systems that can respond to a changing but persistent cold environment. We were also able to validate the activity of all the AFPs annotated where the recombinant AFPs demonstrated anti-freeze capacity. This work is an important foundation for further collective exploration into psychrophilic microbiology where among other potential, the genes unique to this species may represent a pool of novel mechanisms for cold survival.

Unravelling the adaptation strategies employed by Glaciozyma antarctica PI12 on Antarctic sea ice

Glaciozyma antarctica PI12, is a psychrophilic yeast isolated from Antarctic sea. In this work, Expressed Sequence Tags (EST) from cells exposed to three different temperatures; 15 °C, 0 °C and -12 °C were generated to identify genes associated with cold adaptation. A total of 5376 clones from each library were randomly picked and sequenced. Comparative analyses from the resulting ESTs in each condition identified several groups of genes required for cold adaptation. Additionally, 319 unique transcripts that encoded uncharacterised functions were identified in the -12 °C library and are currently unique to G. antarctica. Gene expression analysis using RT-qPCR revealed two of the unknown genes to be up-regulated at -12 °C compared to 0 °C and 15 °C. These findings further contribute to the collective knowledge into G. antarctica cold adaptation and as a resource for understanding the ecological and physiological tolerance of psychrophilic microbes in general.

Bacterial diversity of oil palm Elaeis guineensis basal stems

Oil palm, Elaeis guineensis is one of the major industrial production crops in Malaysia. Basal stem rot, caused by the white fungus, Ganoderma boninense, is a disease that reduces oil palm yields in most production areas of the world. Understanding of bacterial community that is associated with Ganoderma infection will shed light on how this bacterial community contributes toward the severity of the infection. In this preliminary study, we assessed the bacterial community that inhabit the basal stems of E. guineensis based on 16S rRNA gene as a marker using next generation sequencing platform. This result showed that a total of 84,372 operational taxonomic-units (OTUs) were identified within six samples analyzed. A total 55,049 OTUs were assigned to known taxonomy whereas 29,323 were unassigned. Cyanobacteria, Bacteroidetes, Firmicutes and Proteobacteria were the most abundant phyla found in all six samples and the unique taxonomy assigned for each infected and healthy samples were also identified. The fi...

Bioinformatics analysis and detection of gelatinase encoded gene in Lysinibacillussphaericus

In this study, we performed bioinformatics analysis toward genome sequence of Lysinibacillussphaericus (L. sphaericus) to determine gene encoded for gelatinase. L. sphaericus was isolated from soil and gelatinase species-specific bacterium to porcine and bovine gelatin. This bacterium offers the possibility of enzymes production which is specific to both species of meat, respectively. The main focus of this research is to identify the gelatinase encoded gene within the bacteria of L. Sphaericus using bioinformatics analysis of partially sequence genome. From the research study, three candidate gene were identified which was, gelatinase candidate gene 1 (P1), NODE_71_length_93919_cov_158.931839_21 which containing 1563 base pair (bp) in size with 520 amino acids sequence; Secondly, gelatinase candidate gene 2 (P2), NODE_23_length_52851_cov_190.061386_17 which containing 1776 bp in size with 591 amino acids sequence; and Thirdly, gelatinase candidate gene 3 (P3), NODE_106_length_32943_cov_169.147919_8 conta...

Genome analysis and identification of gelatinase encoded gene in Enterobacter aerogenes

In this study, bioinformatic analysis towards genome sequence of E. aerogenes was done to determine gene encoded for gelatinase. Enterobacter aerogenes was isolated from hot spring water and gelatinase species-specific bacterium to porcine and fish gelatin. This bacterium offers the possibility of enzymes production which is specific to both species gelatine, respectively. Enterobacter aerogenes was partially genome sequenced resulting in 5.0 mega basepair (Mbp) total size of sequence. From pre-process pipeline, 87.6 Mbp of total reads, 68.8 Mbp of total high quality reads and 78.58 percent of high quality percentage was determined. Genome assembly produced 120 contigs with 67.5% of contigs over 1 kilo base pair (kbp), 124856 bp of N50 contig length and 55.17 % of GC base content percentage. About 4705 protein gene was identified from protein prediction analysis. Two candidate genes selected have highest similarity identity percentage against gelatinase enzyme available in Swiss-Prot and NCBI online datab...