Displaying publications 461 - 480 of 951 in total

Abstract:
Sort:
  1. Fulltext Extraction of high-molecular-weight DNA from Streptococcus spp. for nanopore sequencing in resource-limited settings
    Das S, Delamare-Deboutteville J, Barnes AC, Rudenko O
    Microbiologyopen, 2024 Aug;13(4):e1432.
    PMID: 39166362 DOI: 10.1002/mbo3.1432
    The long-read sequencing platform MinION, developed by Oxford Nanopore Technologies, enables the sequencing of bacterial genomes in resource-limited settings, such as field conditions or low- and middle-income countries. For this purpose, protocols for extracting high-molecular-weight DNA using nonhazardous, inexpensive reagents and equipment are needed, and some methods have been developed for gram-negative bacteria. However, we found that without modification, these protocols are unsuitable for gram-positive Streptococcus spp., a major threat to fish farming and food security in low- and middle-income countries. Multiple approaches were evaluated, and the most effective was an extraction method using lysozyme, sodium dodecyl sulfate, and proteinase K for lysis of bacterial cells and magnetic beads for DNA recovery. We optimized the method to consistently achieve sufficient yields of pure high-molecular-weight DNA with minimal reagents and time and developed a version of the protocol which can be performed without a centrifuge or electrical power. The suitability of the method was verified by MinION sequencing and assembly of 12 genomes of epidemiologically diverse fish-pathogenic Streptococcus iniae and Streptococcus agalactiae isolates. The combination of effective high-molecular-weight DNA extraction and MinION sequencing enabled the discovery of a naturally occurring 15 kb low-copy number mobilizable plasmid in S. iniae, which we name pSI1. We expect that our resource-limited settings-adapted protocol for high-molecular-weight DNA extraction could be implemented successfully for similarly recalcitrant-to-lysis gram-positive bacteria, and it represents a method of choice for MinION-based disease diagnostics in low- and middle-income countries.
    Matched MeSH terms: Genome, Bacterial/genetics
  2. Fulltext Association of ESR1 Germline Variants with TP53 Somatic Variants in Breast Tumors in a Genome-wide Study
    Tjader NP, Beer AJ, Ramroop J, Tai MC, Ping J, Gandhi T, et al.
    Cancer Res Commun, 2024 Jun 27;4(6):1597-1608.
    PMID: 38836758 DOI: 10.1158/2767-9764.CRC-24-0026
    In breast tumors, somatic mutation frequencies in TP53 and PIK3CA vary by tumor subtype and ancestry. Emerging data suggest tumor mutation status is associated with germline variants and genetic ancestry. We aimed to identify germline variants that are associated with somatic TP53 or PIK3CA mutation status in breast tumors. A genome-wide association study was conducted in 2,850 women of European ancestry with breast cancer using TP53 and PIK3CA mutation status (positive or negative) as well as specific functional categories [e.g., TP53 gain-of-function (GOF) and loss-of-function, PIK3CA activating] as phenotypes. Germline variants showing evidence of association were selected for validation analyses and tested in multiple independent datasets. Discovery association analyses found five variants associated with TP53 mutation status with P values <1 × 10-6 and 33 variants with P values <1 × 10-5. Forty-four variants were associated with PIK3CA mutation status with P values <1 × 10-5. In validation analyses, only variants at the ESR1 locus were associated with TP53 mutation status after multiple comparisons corrections. Combined analyses in European and Malaysian populations found ESR1 locus variants rs9383938 and rs9479090 associated with the presence of TP53 mutations overall (P values 2 × 10-11 and 4.6 × 10-10, respectively). rs9383938 also showed association with TP53 GOF mutations (P value 6.1 × 10-7). rs9479090 showed suggestive evidence (P value 0.02) for association with TP53 mutation status in African ancestry populations. No other variants were significantly associated with TP53 or PIK3CA mutation status. Larger studies are needed to confirm these findings and determine if additional variants contribute to ancestry-specific differences in mutation frequency.

    SIGNIFICANCE: Emerging data show ancestry-specific differences in TP53 and PIK3CA mutation frequency in breast tumors suggesting that germline variants may influence somatic mutational processes. This study identified variants near ESR1 associated with TP53 mutation status and identified additional loci with suggestive association which may provide biological insight into observed differences.

    Matched MeSH terms: Genome-Wide Association Study*
  3. Fulltext Charting the Voyages of Acinetobacter baumannii in Southeast Asia: Mapping the Regional Genomic Landscape
    Lean SS, Palittapongarnpim P, Clarke SC, Yeo CC
    Microbiologyopen, 2026 Dec;15(6).
    PMID: 42961112 DOI: 10.1002/mbo3.70446
    Acinetobacter baumannii is a critical-priority nosocomial pathogen, yet its genomic epidemiology in Southeast Asia remains fragmented. We analysed publicly available genomes to define the regional A. baumannii population structure, resistome, mobile genetic elements, and phage defence repertoire. Following quality filtering, 853 genomes from Southeast Asia which were retrieved from PubMLST and NCBI, were subjected to multilocus sequence typing, pangenome-based phylogenetic analysis, antimicrobial resistance gene screening, plasmid and resistance island characterisation, and defence-system profiling. The dataset spanned 1996-2024 and included genomes from seven Southeast Asian countries, with Thailand contributing the largest number. The Global Clone 2 (GC2) lineage dominated the regional A. baumannii population and formed major country-associated clades, although non-dominant GCs and non-GC isolates persisted throughout the sampling period. blaOXA-23, blaADC-73, and tetB were the most prevalent acquired resistance determinants, while the gyrA-S81L and parC-S84L mutations, which are associated with fluoroquinolone resistance, were widespread across the Southeast Asian isolates. AbaR-type resistance islands were confined to GC1, whereas AbGRI-type islands predominated in GC2, especially AbGRI1-5. R3-type plasmids were the most widely distributed plasmid family overall, although RP-type plasmids predominated in Indonesia. Phage defence systems were lineage-associated, with GC2 enriched for SspBCDE and Gao-type systems and other lineages showing distinct defence combinations. Southeast Asian A. baumannii is therefore characterised by dominant GC2 circulation, broad dissemination of key resistance determinants, diverse mobile genetic elements, and heterogeneous phage defence repertoires. These findings provide a regional genomic baseline for surveillance and highlight the need for broader, geographically representative sampling across Southeast Asia.
    Matched MeSH terms: Genome, Bacterial*
  4. Fulltext Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis
    Ishigaki K, Sakaue S, Terao C, Luo Y, Sonehara K, Yamaguchi K, et al.
    Nat Genet, 2022 Nov;54(11):1640-1651.
    PMID: 36333501 DOI: 10.1038/s41588-022-01213-w
    Rheumatoid arthritis (RA) is a highly heritable complex disease with unknown etiology. Multi-ancestry genetic research of RA promises to improve power to detect genetic signals, fine-mapping resolution and performances of polygenic risk scores (PRS). Here, we present a large-scale genome-wide association study (GWAS) of RA, which includes 276,020 samples from five ancestral groups. We conducted a multi-ancestry meta-analysis and identified 124 loci (P 
    Matched MeSH terms: Genome-Wide Association Study*
  5. Fulltext Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses
    Zhang H, Ahearn TU, Lecarpentier J, Barnes D, Beesley J, Qi G, et al.
    Nat Genet, 2020 Jun;52(6):572-581.
    PMID: 32424353 DOI: 10.1038/s41588-020-0609-2
    Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P 
    Matched MeSH terms: Genome-Wide Association Study*
  6. Fulltext Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci
    Schumacher FR, Al Olama AA, Berndt SI, Benlloch S, Ahmed M, Saunders EJ, et al.
    Nat Genet, 2018 Jul;50(7):928-936.
    PMID: 29892016 DOI: 10.1038/s41588-018-0142-8
    Genome-wide association studies (GWAS) and fine-mapping efforts to date have identified more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data from a custom high-density array of 46,939 PrCa cases and 27,910 controls of European ancestry with previously genotyped data of 32,255 PrCa cases and 33,202 controls of European ancestry. Our analysis identified 62 novel loci associated (P C, p.Pro1054Arg) in ATM and rs2066827 (OR = 1.06; P = 2.3 × 10-9; T>G, p.Val109Gly) in CDKN1B. The combination of all loci captured 28.4% of the PrCa familial relative risk, and a polygenic risk score conferred an elevated PrCa risk for men in the ninetieth to ninety-ninth percentiles (relative risk = 2.69; 95% confidence interval (CI): 2.55-2.82) and first percentile (relative risk = 5.71; 95% CI: 5.04-6.48) risk stratum compared with the population average. These findings improve risk prediction, enhance fine-mapping, and provide insight into the underlying biology of PrCa1.
    Matched MeSH terms: Genome-Wide Association Study/methods
  7. Fulltext Proteogenomic Gene Structure Validation in the Pineapple Genome
    Ariffin N, Newman DW, Nelson MG, O'cualain R, Hubbard SJ
    J Proteome Res, 2024 May 03;23(5):1583-1592.
    PMID: 38651221 DOI: 10.1021/acs.jproteome.3c00675
    MD2 pineapple (Ananas comosus) is the second most important tropical crop that preserves crassulacean acid metabolism (CAM), which has high water-use efficiency and is fast becoming the most consumed fresh fruit worldwide. Despite the significance of environmental efficiency and popularity, until very recently, its genome sequence has not been determined and a high-quality annotated proteome has not been available. Here, we have undertaken a pilot proteogenomic study, analyzing the proteome of MD2 pineapple leaves using liquid chromatography-mass spectrometry (LC-MS/MS), which validates 1781 predicted proteins in the annotated F153 (V3) genome. In addition, a further 603 peptide identifications are found that map exclusively to an independent MD2 transcriptome-derived database but are not found in the standard F153 (V3) annotated proteome. Peptide identifications derived from these MD2 transcripts are also cross-referenced to a more recent and complete MD2 genome annotation, resulting in 402 nonoverlapping peptides, which in turn support 30 high-quality gene candidates novel to both pineapple genomes. Many of the validated F153 (V3) genes are also supported by an independent proteomics data set collected for an ornamental pineapple variety. The contigs and peptides have been mapped to the current F153 genome build and are available as bed files to display a custom gene track on the Ensembl Plants region viewer. These analyses add to the knowledge of experimentally validated pineapple genes and demonstrate the utility of transcript-derived proteomics to discover both novel genes and genetic structure in a plant genome, adding value to its annotation.
    Matched MeSH terms: Genome, Plant*
  8. Genomic characterization and identification of multiple drug resistance genes in clinical isolates of Acinetobacter baumannii through whole genome sequencing
    Habibi N, Mustafa AS, Nasser K, Al-Obaid I, Alfouzan W, Uddin S, et al.
    Mol Biol Rep, 2025 Feb 15;52(1):233.
    PMID: 39954144 DOI: 10.1007/s11033-025-10353-1
    BACKGROUND: Acinetobacter baumannii is a notorious nosocomial pathogen universally in healthcare settings. Its natural competent characteristics for genetic recombination are responsible for acquired antibiotic resistance and render it untreatable through commonly used antibiotics. Hence, characterizing the A. baumannii genomes for multidrug resistance carriage is of paramount importance. The study aimed to characterize the whole genome of clinical isolates of A. baumannii to identify specifically the types of antibiotic resistance genes, drug classes and mobile genetic elements. We also aimed to determine the significant multi-locus sequence tags (MLSTs). The phylogeny of the isolates was established with other clinical strains distributed globally.

    METHODS AND RESULTS: Fifteen clinical isolates (isolated from tracheal secretion, urine and bronchoalveolar lavage) were subjected to whole genome sequencing. Raw sequences were assembled using SPAdes and species were identified using KmerFinder 3.2. The assembled genomes were annotated using the Prokka v1.14.6. Resfinder 4.6.0 was used to determine antibiotic resistance genes. The sequences were aligned against seven housekeeping genes aka sequence tags (STs) available within the MLST database (v 2.0.9). MobileGeneticElement finder (v1.0.3) were used for profiling mobile genetic elements associated with the antibiotic resistance genes. The genomes of nosocomial A. baumannii were assembled with an average N50 of 23,480 and GC content of 38%. There were approximately 3700 CDs, 53 tRNA and 3 rRNA. About 80% of the isolates were ST2 type. The genomes possessed antibiotic resistance genes (n = 24) belonging to 17 drug classes. The predicted phenotype was multidrug resistant. Among the mobile genetic elements, 12 insertion sequences and 2 composite transposons were also found. The mode of antibiotic resistance was mostly through antibiotic inactivation in all the isolates.

    CONCLUSIONS: The results imply the occurrence of multidrug resistant genes in clinical isolates of A. baumannii strains in the healthcare settings of Kuwait. A more comprehensive survey should be undertaken for antimicrobial resistance monitoring on a regular basis for surveillance, contact tracing, and potential mitigation in clinical settings.

    Matched MeSH terms: Genome, Bacterial/genetics
  9. Fulltext Oil palm genome sequence reveals divergence of interfertile species in Old and New worlds
    Singh R, Ong-Abdullah M, Low ET, Manaf MA, Rosli R, Nookiah R, et al.
    Nature, 2013 Aug 15;500(7462):335-9.
    PMID: 23883927 DOI: 10.1038/nature12309
    Oil palm is the most productive oil-bearing crop. Although it is planted on only 5% of the total world vegetable oil acreage, palm oil accounts for 33% of vegetable oil and 45% of edible oil worldwide, but increased cultivation competes with dwindling rainforest reserves. We report the 1.8-gigabase (Gb) genome sequence of the African oil palm Elaeis guineensis, the predominant source of worldwide oil production. A total of 1.535 Gb of assembled sequence and transcriptome data from 30 tissue types were used to predict at least 34,802 genes, including oil biosynthesis genes and homologues of WRINKLED1 (WRI1), and other transcriptional regulators, which are highly expressed in the kernel. We also report the draft sequence of the South American oil palm Elaeis oleifera, which has the same number of chromosomes (2n = 32) and produces fertile interspecific hybrids with E. guineensis but seems to have diverged in the New World. Segmental duplications of chromosome arms define the palaeotetraploid origin of palm trees. The oil palm sequence enables the discovery of genes for important traits as well as somaclonal epigenetic alterations that restrict the use of clones in commercial plantings, and should therefore help to achieve sustainability for biofuels and edible oils, reducing the rainforest footprint of this tropical plantation crop.
    Matched MeSH terms: Genome, Plant/genetics*
  10. Fulltext Dense sampling of bird diversity increases power of comparative genomics
    Feng S, Stiller J, Deng Y, Armstrong J, Fang Q, Reeve AH, et al.
    Nature, 2020 Nov;587(7833):252-257.
    PMID: 33177665 DOI: 10.1038/s41586-020-2873-9
    Whole-genome sequencing projects are increasingly populating the tree of life and characterizing biodiversity1-4. Sparse taxon sampling has previously been proposed to confound phylogenetic inference5, and captures only a fraction of the genomic diversity. Here we report a substantial step towards the dense representation of avian phylogenetic and molecular diversity, by analysing 363 genomes from 92.4% of bird families-including 267 newly sequenced genomes produced for phase II of the Bird 10,000 Genomes (B10K) Project. We use this comparative genome dataset in combination with a pipeline that leverages a reference-free whole-genome alignment to identify orthologous regions in greater numbers than has previously been possible and to recognize genomic novelties in particular bird lineages. The densely sampled alignment provides a single-base-pair map of selection, has more than doubled the fraction of bases that are confidently predicted to be under conservation and reveals extensive patterns of weak selection in predominantly non-coding DNA. Our results demonstrate that increasing the diversity of genomes used in comparative studies can reveal more shared and lineage-specific variation, and improve the investigation of genomic characteristics. We anticipate that this genomic resource will offer new perspectives on evolutionary processes in cross-species comparative analyses and assist in efforts to conserve species.
    Matched MeSH terms: Genome/genetics*
  11. Fulltext Walking pace is a protective factor for rheumatoid arthritis: a mendelian randomization study
    Zhang Q, Huang X, Zhang Y, Chao Z, Zhou R, Hamid RA, et al.
    Sci Rep, 2024 Oct 22;14(1):24886.
    PMID: 39438628 DOI: 10.1038/s41598-024-76666-6
    Walking pace is a simple and functional form of exercise and a strong predictor of health, but little is known about its causal association with rheumatoid arthritis. This study aimed to investigate the causal effect of WP on the developing RA using Mendelian randomization analysis. The genetic variation associated with WP was selected as an instrumental variable from the latest genome-wide association studies. Summary-level data for the outcomes were obtained from the corresponding GWAS. The inverse-variance weighted method was used as the primary MR analysis. The results were further tested using a multivariable MR approach based on Bayesian model averaging. Confounders (BMI, SMK, HBP, TD) with close associations with RA were included in the analysis. An observational study with individual data from UK Biobank was performed to reinforce our findings. The MR results indicated the significant inverse associations of WP with the risk of RA (odds ratio (OR), 0.31; 95% confidence interval (CI), 0.15, 0.62; p = 1.05 × 10 -3). After adjusting for the risk factors, the associations for WP and RA did not change substantially. Observational study results demonstrated the same effect of WP on reducing the risk of RA. The Mendelian randomization analysis and observational study provide evidence suggesting that walking pace is a protective factor for rheumatoid arthritis. Given its simple measurement, walking pace may be a pragmatic target for interventions.
    Matched MeSH terms: Genome-Wide Association Study*
  12. Fulltext Epidemiological, molecular, and evolutionary characteristics of G1P[8] rotavirus in China on the eve of RotaTeq application
    Peng R, Wang M, Shahar S, Xiong G, Zhang Q, Pang L, et al.
    Front Cell Infect Microbiol, 2024;14:1453862.
    PMID: 39717546 DOI: 10.3389/fcimb.2024.1453862
    INTRODUCTION: This study, conducted in China prior to RotaTeq's launch, examined the epidemiological, molecular, and evolutionary features of the G1P[8] genotype RVA in children admitted with diarrhea, to aid in evaluating its efficacy and impact on G1P[8] RVA in China.

    METHODS: Data from the Chinese viral diarrhea surveillance network were collected from January 2016 to December 2018. RVA strains identified as the G1P[8] genotype were subjected to whole-genome sequencing. Neutralizing epitope, amino acid selection pressure, and evolution dynamics analyses on VP7 and VP4 were performed using BioEdit v.7.0.9.0 and PyMOL v.2.5.2, four algorithms (MEME, SLAC, FEL, and FUBAR) in the Datamonkey online software, and the MCMC model in BEAST v. 1.10.4, respectively. Phylogenetic and identity features of 11 genes were assessed by DNAStar and MEGA v.7.

    RESULTS: Results showed that the detection rate of G1P[8] in China from 2016 to 2018 was generally low with significant seasonality. The whole genome of G1P[8] of four 2016 childhood diarrhea specimens was successfully sequenced. Phylogenetic and neutralizing epitope analysis showed that Rotavin-M1 might have better protection on G1P[8] prevalent in China than Rotarix and RotaTeq. Two conserved N-glycosylation sites on VP7 of Chinese G1P[8] might affect the protective effect of the vaccine. Evolution rate and selection pressure analysis identified the possibility of rapidly evolving and adapting to the new environment introduced by vaccines of G1P[8], whereas positive selection specific to VP4 indicated the potential tendency to select for dominant traits. Identity and phylogeny analysis showed that Chinese G1P[8] from before 2018 was generally stable with possible genetic recombination among local strains.

    DISCUSSION: These findings not only are of great significance for predicting the prevalence of G1P [8] in China, but also provide data reference for evaluating rotavirus vaccine efficacy.

    Matched MeSH terms: Genome, Viral/genetics
  13. Detection of somatic mutations in the mitochondrial DNA control region D-loop in brain tumors: The first report in Malaysian patients
    Mohamed Yusoff AA, Mohd Nasir KN, Haris K, Mohd Khair SZN, Abdul Ghani ARI, Idris Z, et al.
    Oncol Lett, 2017 Nov;14(5):5179-5188.
    PMID: 29098023 DOI: 10.3892/ol.2017.6851
    Although the role of nuclear-encoded gene alterations has been well documented in brain tumor development, the involvement of the mitochondrial genome in brain tumorigenesis has not yet been fully elucidated and remains controversial. The present study aimed to identify mutations in the mitochondrial DNA (mtDNA) control region D-loop in patients with brain tumors in Malaysia. A mutation analysis was performed in which DNA was extracted from paired tumor tissue and blood samples obtained from 49 patients with brain tumors. The D-loop region DNA was amplified using the PCR technique, and genetic data from DNA sequencing analyses were compared with the published revised Cambridge sequence to identify somatic mutations. Among the 49 brain tumor tissue samples evaluated, 25 cases (51%) had somatic mutations of the mtDNA D-loop, with a total of 48 mutations. Novel mutations that had not previously been identified in the D-loop region (176 A-deletion, 476 C>A, 566 C>A and 16405 A-deletion) were also classified. No significant associations between the D-loop mutation status and the clinicopathological parameters were observed. To the best of our knowledge, the current study presents the first evidence of alterations in the mtDNA D-loop regions in the brain tumors of Malaysian patients. These results may provide an overview and data regarding the incidence of mitochondrial genome alterations in Malaysian patients with brain tumors. In addition to nuclear genome aberrations, these specific mitochondrial genome alterations may also be considered as potential cancer biomarkers for the diagnosis and staging of brain cancers.
    Matched MeSH terms: Genome, Mitochondrial
  14. Angiostrongylus mackerrasae and A. cantonensis (Nematoda: Metastrongyloidea) belong to same genetic lineage: evidence from mitochondrial protein-coding genes
    Song SL, Yong HS, Eamsobhana P
    J Helminthol, 2018 Jul;92(4):524-529.
    PMID: 28693647 DOI: 10.1017/S0022149X1700061X
    Angiostrongylus mackerrasae is a parasitic nematode of rats found in Australia. When first reported, it was referred to as A. cantonensis. Recent molecular studies, including the mitochondrial genome, indicate that it is highly similar to A. cantonensis. These studies did not include A. malaysiensis, another member of the A. cantonensis species complex, for comparison. The present study examined the genetic distance and phylogenetic relationship between the component taxa (A. cantonensis, A. mackerrasae and A. malaysiensis) of the A. cantonensis species complex, based on the 12 protein-coding genes (PCGs) of their mitochondrial genome. Both the nucleotide and amino acid sequences were analysed. Angiostrongylus mackerrasae and A. cantonensis are members of the same genetic lineage and both are genetically distinct from A. malaysiensis. The genetic distance based on concatenated nucleotide sequences of 12 mt-PCGs between A. mackerrasae and A. cantonensis from Thailand is p = 1.73%, while that between the Thai and Chinese taxa of A. cantonensis is p = 3.52%; the genetic distance between A. mackerrasae and A. cantonensis from China is p = 3.70%. The results indicate that A. mackerrasae and A. cantonensis belong to the same genetic lineage, and that A. mackerrasae may be conspecific with A. cantonensis. It remains to be resolved whether A. mackerrasae is conspecific with A. cantonensis or undergoing incipient speciation.
    Matched MeSH terms: Genome, Mitochondrial
  15. Identification of three homologous latex-clearing protein (lcp) genes from the genome of Streptomyces sp. strain CFMR 7
    Nanthini J, Ong SY, Sudesh K
    Gene, 2017 Sep 10;628:146-155.
    PMID: 28711667 DOI: 10.1016/j.gene.2017.07.039
    Rubber materials have greatly contributed to human civilization. However, being a polymeric material does not decompose easily, it has caused huge environmental problems. On the other hand, only few bacteria are known to degrade rubber, with studies pertaining them being intensively focusing on the mechanism involved in microbial rubber degradation. The Streptomyces sp. strain CFMR 7, which was previously confirmed to possess rubber-degrading ability, was subjected to whole genome sequencing using the single molecule sequencing technology of the PacBio® RS II system. The genome was further analyzed and compared with previously reported rubber-degrading bacteria in order to identify the potential genes involved in rubber degradation. This led to the interesting discovery of three homologues of latex-clearing protein (Lcp) on the chromosome of this strain, which are probably responsible for rubber degrading activities. Genes encoding oxidoreductase α-subunit (oxiA) and oxidoreductase β-subunit (oxiB) were also found downstream of two lcp genes which are located adjacent to each other. In silico analysis reveals genes that have been identified to be involved in the microbial degradation of rubber in the Streptomyces sp. strain CFMR 7. This is the first whole genome sequence of a clear-zone-forming natural rubber- degrading Streptomyces sp., which harbours three Lcp homologous genes with the presence of oxiA and oxiB genes compared to the previously reported Gordonia polyisoprenivorans strain VH2 (with two Lcp homologous genes) and Nocardia nova SH22a (with only one Lcp gene).
    Matched MeSH terms: Genome, Bacterial
  16. Advances in Drug Discovery: Impact of Genomics and Role of Analytical Instrumentation
    Vijaya Bhaskar Reddy A, Yusop Z, Jaafar J, Madhavi V, Madhavi G
    Curr Drug Discov Technol, 2016;13(4):211-224.
    PMID: 27697028
    Drug discovery is a highly complicated, tedious and potentially rewarding approach associated with great risk. Pharmaceutical companies literally spend millions of dollars to produce a single successful drug. The drug discovery process also need strict compliance to the directions on manufacturing and testing of new drug standards before their release into market. All these regulations created the necessity to develop advanced approaches in drug discovery. The contributions of advanced technologies including high resolution analytical instruments, 3-D biological printing, next-generation sequencing and bioinformatics have made positive impact on drug discovery & development. Fortunately, all these advanced technologies are evolving at the right time when new issues are rising in drug development process. In the present review, we have discussed the role of genomics and advanced analytical techniques in drug discovery. Further, we have also discussed the significant advances in drug discovery as case studies.
    Matched MeSH terms: Genome, Human
  17. Fulltext Genomic Selection in Commercial Perennial Crops: Applicability and Improvement in Oil Palm (Elaeis guineensis Jacq.)
    Kwong QB, Ong AL, Teh CK, Chew FT, Tammi M, Mayes S, et al.
    Sci Rep, 2017 06 06;7(1):2872.
    PMID: 28588233 DOI: 10.1038/s41598-017-02602-6
    Genomic selection (GS) uses genome-wide markers to select individuals with the desired overall combination of breeding traits. A total of 1,218 individuals from a commercial population of Ulu Remis x AVROS (UR x AVROS) were genotyped using the OP200K array. The traits of interest included: shell-to-fruit ratio (S/F, %), mesocarp-to-fruit ratio (M/F, %), kernel-to-fruit ratio (K/F, %), fruit per bunch (F/B, %), oil per bunch (O/B, %) and oil per palm (O/P, kg/palm/year). Genomic heritabilities of these traits were estimated to be in the range of 0.40 to 0.80. GS methods assessed were RR-BLUP, Bayes A (BA), Cπ (BC), Lasso (BL) and Ridge Regression (BRR). All methods resulted in almost equal prediction accuracy. The accuracy achieved ranged from 0.40 to 0.70, correlating with the heritability of traits. By selecting the most important markers, RR-BLUP B has the potential to outperform other methods. The marker density for certain traits can be further reduced based on the linkage disequilibrium (LD). Together with in silico breeding, GS is now being used in oil palm breeding programs to hasten parental palm selection.
    Matched MeSH terms: Genome, Plant
  18. Fulltext The association of insertions/deletions (INDELs) and variable number tandem repeats (VNTRs) with obesity and its related traits and complications
    Say YH
    J Physiol Anthropol, 2017 Jun 14;36(1):25.
    PMID: 28615046 DOI: 10.1186/s40101-017-0142-x
    BACKGROUND: Despite the fact that insertions/deletions (INDELs) are the second most common type of genetic variations and variable number tandem repeats (VNTRs) represent a large portion of the human genome, they have received far less attention than single nucleotide polymorphisms (SNPs) and larger forms of structural variation like copy number variations (CNVs), especially in genome-wide association studies (GWAS) of complex diseases like polygenic obesity. This is exemplified by the vast amount of review papers on the role of SNPs and CNVs in obesity, its related traits (like anthropometric measurements, biochemical variables, and eating behavior), and its related complications (like hypertension, hypertriglyceridemia, hypercholesterolemia, and insulin resistance-collectively known as metabolic syndrome). Hence, this paper reviews the types of INDELs and VNTRs that have been studied for association with obesity and its related traits and complications. These INDELs and VNTRs could be found in the obesity loci or genes from the earliest GWAS and candidate gene association studies, like FTO, genes in the leptin-proopiomelanocortin pathway, and UCP2/3. Given the important role of the brain serotonergic and dopaminergic reward system in obesity susceptibility, the association of INDELs and VNTRs in these neurotransmitters' metabolism and transport genes with obesity is also reviewed. Next, the role of INS VNTR in obesity and its related traits is questionable, since recent large-scale studies failed to replicate the earlier positive associations. As obesity results in chronic low-grade inflammation of the adipose tissue, the proinflammatory cytokine gene IL1RA and anti-inflammatory cytokine gene IL4 have VNTRs that are implicated in obesity. A systemic proinflammatory state in combination with activation of the renin-angiotensin system and decreased nitric oxide bioavailability as found in obesity leads to endothelial dysfunction. This explains why VNTR and INDEL in eNOS and ACE, respectively, could be predisposing factors of obesity. Finally, two novel genes, DOCK5 and PER3, which are involved in the regulation of the Akt/MAPK pathway and circadian rhythm, respectively, have VNTRs and INDEL that might be associated with obesity.

    SHORT CONCLUSION: In conclusion, INDELs and VNTRs could have important functional consequences in the pathophysiology of obesity, and research on them should be continued to facilitate obesity prediction, prevention, and treatment.

    Matched MeSH terms: Genome-Wide Association Study
  19. Fulltext Whole genome sequencing of Rhodotorula mucilaginosa isolated from the chewing stick (Distemonanthus benthamianus): insights into Rhodotorula phylogeny, mitogenome dynamics and carotenoid biosynthesis
    Gan HM, Thomas BN, Cavanaugh NT, Morales GH, Mayers AN, Savka MA, et al.
    PeerJ, 2017;5:e4030.
    PMID: 29158974 DOI: 10.7717/peerj.4030
    In industry, the yeast Rhodotorula mucilaginosa is commonly used for the production of carotenoids. The production of carotenoids is important because they are used as natural colorants in food and some carotenoids are precursors of retinol (vitamin A). However, the identification and molecular characterization of the carotenoid pathway/s in species belonging to the genus Rhodotorula is scarce due to the lack of genomic information thus potentially impeding effective metabolic engineering of these yeast strains for improved carotenoid production. In this study, we report the isolation, identification, characterization and the whole nuclear genome and mitogenome sequence of the endophyte R. mucilaginosa RIT389 isolated from Distemonanthus benthamianus, a plant known for its anti-fungal and antibacterial properties and commonly used as chewing sticks. The assembled genome of R. mucilaginosa RIT389 is 19 Mbp in length with an estimated genomic heterozygosity of 9.29%. Whole genome phylogeny supports the species designation of strain RIT389 within the genus in addition to supporting the monophyly of the currently sequenced Rhodotorula species. Further, we report for the first time, the recovery of the complete mitochondrial genome of R. mucilaginosa using the genome skimming approach. The assembled mitogenome is at least 7,000 bases larger than that of Rhodotorula taiwanensis which is largely attributed to the presence of large intronic regions containing open reading frames coding for homing endonuclease from the LAGLIDADG and GIY-YIG families. Furthermore, genomic regions containing the key genes for carotenoid production were identified in R. mucilaginosa RIT389, revealing differences in gene synteny that may play a role in the regulation of the biotechnologically important carotenoid synthesis pathways in yeasts.
    Matched MeSH terms: Genome, Mitochondrial
  20. Climate-driven mitochondrial selection: A test in Australian songbirds
    Lamb AM, Gan HM, Greening C, Joseph L, Lee YP, Morán-Ordóñez A, et al.
    Mol Ecol, 2018 02;27(4):898-918.
    PMID: 29334409 DOI: 10.1111/mec.14488
    Diversifying selection between populations that inhabit different environments can promote lineage divergence within species and ultimately drive speciation. The mitochondrial genome (mitogenome) encodes essential proteins of the oxidative phosphorylation (OXPHOS) system and can be a strong target for climate-driven selection (i.e., associated with inhabiting different climates). We investigated whether Pleistocene climate changes drove mitochondrial selection and evolution within Australian birds. First, using phylogeographic analyses of the mitochondrial ND2 gene for 17 songbird species, we identified mitochondrial clades (mitolineages). Second, using distance-based redundancy analyses, we tested whether climate predicts variation in intraspecific genetic divergence beyond that explained by geographic distances and geographic position. Third, we analysed 41 complete mitogenome sequences representing each mitolineage of 17 species using codon models in a phylogenetic framework and a biochemical approach to identify signals of selection on OXPHOS protein-coding genes and test for parallel selection in mitolineages of different species existing in similar climates. Of 17 species examined, 13 had multiple mitolineages (range: 2-6). Climate was a significant predictor of mitochondrial variation in eight species. At least two amino acid replacements in OXPHOS complex I could have evolved under positive selection in specific mitolineages of two species. Protein homology modelling showed one of these to be in the loop region of the ND6 protein channel and the other in the functionally critical helix HL region of ND5. These findings call for direct tests of the functional and evolutionary significance of mitochondrial protein candidates for climate-associated selection.
    Matched MeSH terms: Genome, Mitochondrial
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links