Biological, Chemical, and Mathematical Sciences

e.g. molecular biology, biochemistry, biotechnology, organic chemistry, bioinformatics, and etc.

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Browsing Biological, Chemical, and Mathematical Sciences by Author "Ahmad Sofiman Othman"

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    Complete chloroplast genome data for Cryptocoryne elliptica (Araceae) from Peninsular Malaysia
    (Elsevier, 2022-03-23) Nurul Shakina Mohd Talkah; Suwidji Wongso; Ahmad Sofiman Othman
    The aquatic plant genus Cryptocoryne, a popular plant genus in the aquarium industry, is made up of more than 50 described species and some 15 naturally occurring named and unnamed interspecific hybrids. Cryptocoryne elliptica has a restricted distribution in the north part of Peninsular Malaysia. Destruction of its natural habitats for various human activities has led to a decline in numbers. Here, we report the complete chloroplast genome of C. elliptica and establish a molecular dataset for a maternally inherited genome. Here, we utilized an Illumina NovaSeq 6000 protocol to sequence the partial genome of C. elliptica and used bioinformatic tools to reconstruct the chloroplast genome in de novo mode. The assembled chloroplast genome is a circular DNA molecule 159,968 bp in length. The chloroplast genome has a quadripartite structure composed of a large single-copy region of 96,273 bp and a small single-copy (SSC) region of 15,205 bp, separated by a pair of inverted repeats (IRa and IRb), each of which is 24,245 bp. The chloroplast genome of C. elliptica encodes a total of 108 genes, comprising 74 protein-coding genes, 30 tRNA genes and 4 rRNA genes. In total, 204 SSR loci were identified, most of which were located within intergenic regions.
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    Transcriptome data for Hevea brasiliensis associated with powdery Mildew infection
    (Elsevier, 2022-05-11) Urwashi Kamerkar; Ahmad Sofiman Othman
    The Hevea brasiliensis or rubber tree belongs to the Euphorbiaceae family and is the only economically viable natural rubber source worldwide. The development of enhanced rubber tree clones with agronomically important traits is critical due to the growing demand for natural rubber around the world. Throughout the years, numerous disease-causing pathogens of H. brasiliensis have been identified and studied. One of the more prominent diseases affecting H. brasiliensis is powdery mildew caused by Oidium heveae. Oidium heveae primarily infects the newly formed leaves and buds of H. brasiliensis. Severe Oidium heveae infections cause extensive defoliation and yield loss. We performed RNA sequencing (RNA-Seq) for healthy and O. heveae-infected leaf tissues from RRIM 2025 and RRIM 929 rubber tree clones using the Illumina HiSeq 2000 platform. RNA-Seq generated 92007684 (12.9 GB) and 96070286 (13.5 GB) paired raw reads for healthy H. brasiliensis clones RRIM 2025 and RRIM 929 respectively. Similarly, RNA-Seq generated 93747858 (13.2 GB) and 93324564 (13.1 GB) paired raw reads for disease-infected H. brasiliensis clones RRIM 2025 and RRIM 929 respectively. The raw data were deposited in the NCBI under bio-project accession number PRJNA723431. The raw reads were quality trimmed and the reference-based transcriptome assembly was generated using the H. brasiliensis genome (ASM165405v1). The data were used to identify between the significantly differentially expressed genes of the healthy and diseased samples.
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    Transcriptome dataset from bark and latex tissues of three Hevea brasiliensis clones
    (Elsevier, 2020-08-17) Mohd Fahmi Abu Bakar; Urwashi Kamerkar; Siti Nurfazilah Abdul Rahman; Muhd Khairul Luqman Muhd Sakaff; Ahmad Sofiman Othman
    Hevea brasiliensis is exploited for its latex production, and it is the only viable source of natural rubber worldwide. The demand for natural rubber remains high due its high-quality properties, which synthetic rubber cannot compete with. In this paper, we present transcriptomic data and analysis of three H. brasiliensis clones using tissue from latex and bark tissues collected from 10-year-old plant. The combined, assembled transcripts were mapped onto an H. brasiliensis draft genome. Gene ontology analysis showed that the most abundant transcripts related to molecular functions, followed by biological processes and cellular components. Simple sequence repeats (SSR) and single nucleotide polymorphisms (SNP) were also identified, and these can be useful for selection of parental and new clones in a breeding program. Data generated by RNA sequencing were deposited in the NCBI public repository under accession number PRJNA629890.