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Differential genomic variation between short- and long-term bacterial evolution revealed by ultradeep sequencing.

ABSTRACT: Mutation and selection are both thought to impact significantly the nucleotide composition of bacterial genomes. Earlier studies have compared closely related strains to obtain mutation patterns based on the hypothesis that these bacterial strains had diverged so recently that selection will not have had enough time to play its role. In this study, we used a SOLiD autosequencer that was based on a dual-base encoding scheme to sequence the genome of Staphylococcus aureus with a mapping coverage of over 5,000×. By directly counting the variation obtained from these ultradeep sequencing reads, we found that A ? G was the predominant single-base substitution and 1 bp deletions were the major small indel. These patterns are completely different from those obtained by comparison of closely related S. aureus strains, where C ? T accounted for a larger proportion of mutations and deletions were shown to occur at an almost equal frequency to insertion. These findings suggest that the genomic differences between closely related bacterial strains have already undergone selection and are therefore not representative of spontaneous mutation.

SUBMITTER: Feng Y

PROVIDER: S-EPMC3622303 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Differential genomic variation between short- and long-term bacterial evolution revealed by ultradeep sequencing.

Feng Ye Y Chen Hsiu-Ling HL Chiu Cheng-Hsun CH

Genome biology and evolution 20130101 3

Mutation and selection are both thought to impact significantly the nucleotide composition of bacterial genomes. Earlier studies have compared closely related strains to obtain mutation patterns based on the hypothesis that these bacterial strains had diverged so recently that selection will not have had enough time to play its role. In this study, we used a SOLiD autosequencer that was based on a dual-base encoding scheme to sequence the genome of Staphylococcus aureus with a mapping coverage o ...[more]

PMID: 23531725

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Project description:Triple Negative Breast Cancer (TNBC) is an aggressive subtype of breast cancer with high intra-tumoral heterogeneity, frequently resistant to treatment and no known targeted therapy available to improve patient outcomes. It has been hypothesized that the genomic architecture of a TNBC tumour evolves over time, both before, and during therapy, leading to therapy resistance and a high propensity to relapse. Whether this is an inherent property of the tumour or acquired over time is not well characterized. Despite this important clinical implication, limited studies have been carried out to unravel temporal evolution of TNBC over time. Herein, we report an OMICS based analysis of three TNBC patients who were longitudinally sampled during their treatment at different times of relapse. We recruited three TNBC patients at the time of their first relapse who were then followed-up through the course of their treatment. We obtained retrospective samples (tumour samples) from patient tumours at diagnosis (before neo-adjuvant chemotherapy - NACT) at surgery (post NACT) and prospectively sampled them at each subsequent relapse (tumour, blood plasma, and buffy coat) as determined by RECIST criteria. Tumor and buffy coat DNA were subjected to whole exome sequencing (WES) at 200x, and SNP arrays for copy number variation (CNV) analysis. RNA from tumour samples at relapse was subjected to whole transcriptome sequencing. Pathogenic germline BRCA1 variants identified in WES were validated using Sanger sequencing. 1084 somatic mutations identified in whole exome sequencing of all tumour tissues (n=13) from three patients, were subjected to a custom amplicon ultra-deep sequencing assay at 30,000X in their germline DNA (n=3), tumour DNA (n=10), and cfDNA from plasma samples at relapse (n=8). Copy number corrected allele frequencies, tumour ploidy, tumour purity, and ultra-deep sequencing assay derived variant allele frequencies were used to infer clonal and phylogenetic architecture of each patient as it evolved under selective pressure of therapy over time. Clonality analysis incorporating allele fractions from ultra-deep sequencing identified clones comprising of mutations that are present throughout the course of therapy which we term as founding clones and stem mutations respectively. Such founding clones comprising of stem mutations in all 3 patients were present throughout the course of treatment, irrespective of change in treatment modalities. These stem clones included well characterized cancer related genes like PDGFRB & ARID2 (Patient 02), TP53, BRAF & CSF3R (Patient 04) and ESR1, APC, EZH2 & TP53 (Patient 07). Such branching evolution is seen in all three patients wherein the dominant clone (stem clone) acquires additional mutations to form sub-clones, while persisting over time. These sub-clones may be chemo and radio resistant, while also providing for organ specific metastatic potential. Allele fractions of expressed variants inferred from RNA-Seq data co-related with allele fractions from WES data indicating that all somatic.

Dataset Information

Differential genomic variation between short- and long-term bacterial evolution revealed by ultradeep sequencing.

Publications

Differential genomic variation between short- and long-term bacterial evolution revealed by ultradeep sequencing.

Similar Datasets

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