scholarly journals Characteristics of induced mutations in offspring derived from irradiated mouse spermatogonia and mature oocytes

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yasunari Satoh ◽  
Jun-ichi Asakawa ◽  
Mayumi Nishimura ◽  
Tony Kuo ◽  
Norio Shinkai ◽  
...  

AbstractThe exposure of germ cells to radiation introduces mutations in the genomes of offspring, and a previous whole-genome sequencing study indicated that the irradiation of mouse sperm induces insertions/deletions (indels) and multisite mutations (clustered single nucleotide variants and indels). However, the current knowledge on the mutation spectra is limited, and the effects of radiation exposure on germ cells at stages other than the sperm stage remain unknown. Here, we performed whole-genome sequencing experiments to investigate the exposure of spermatogonia and mature oocytes. We compared de novo mutations in a total of 24 F1 mice conceived before and after the irradiation of their parents. The results indicated that radiation exposure, 4 Gy of gamma rays, induced 9.6 indels and 2.5 multisite mutations in spermatogonia and 4.7 indels and 3.1 multisite mutations in mature oocytes in the autosomal regions of each F1 individual. Notably, we found two types of deletions, namely, small deletions (mainly 1~12 nucleotides) in non-repeat sequences, many of which showed microhomology at the breakpoint junction, and single-nucleotide deletions in mononucleotide repeat sequences. The results suggest that these deletions and multisite mutations could be a typical signature of mutations induced by parental irradiation in mammals.

2017 ◽  
Vol 63 (3) ◽  
pp. 357-363 ◽  
Author(s):  
Makiko Horai ◽  
Hiroyuki Mishima ◽  
Chisa Hayashida ◽  
Akira Kinoshita ◽  
Yoshibumi Nakane ◽  
...  

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 299-299
Author(s):  
Matthew J. Walter ◽  
Dong Shen ◽  
Li Ding ◽  
Jin Shao ◽  
Sarah Witowski ◽  
...  

Abstract Abstract 299 Given the poor prognosis of secondary AML evolving from prior MDS and the limited knowledge of mutations that occur during transformation, we set out to comprehensively discover gene mutations that occur during MDS to AML transformation. To achieve this goal, we performed whole genome sequencing (WGS) of paired DNA samples from normal (skin) and tumor (bone marrow) specimens from a patient with MDS-derived AML. The patient was a 65 year old man who presented with pancytopenia and MDS (FAB RA, 4% myeloblasts, del(5q), -17, del(20q)). Three years later he became RBC transfusion dependent and had skin and bone marrow samples banked at Washington University after providing informed consent. His bone marrow biopsy was consistent with RAEB MDS (6% myeloblasts, del(5q), -17, del(20q)), and he subsequently received 4 cycles of decitibine and 2 cycles of lenalidomide before developing AML 2 years later (69% myeloblasts, del(5q), -17, del(20q)). He underwent an allogeneic BMT and died 1 year later. DNA libraries were prepared from the normal (skin) and flow sorted (CD45 dim, low side scatter) AML samples. Using 75–100 bp paired-end reads on the Illumina platform, we generated 126.2 Gb and 101.7 Gb of sequence from the normal and tumor libraries, respectively. Aligned, deduplicated sequence provided 28.7× (normal) and 26.5× (tumor) haploid coverage of the genome, and >96% diploid coverage, using informative SNPs as a metric. Analysis of paired tumor and normal genome sequences allowed us to discriminate between inherited and acquired sequence variants. Indels and structural variants, including copy number alterations, inversions, and translocations were identified using a combination of SAMTools, Pindel, GATK, and Breakdancer algorithms. The cytogenetically visible monosomy 17 and del(20q) lesions were confirmed, and the del(5q) was resolved into 11 distinct interstitial deletions using WGS data. Single nucleotide resolution assembly was possible for 6 of the deleted segments on chromosome 5 and the chromosome 20 deletion which revealed microhomology at the breakpoints, implicating the error prone nonhomologous end joining repair pathway. Interestingly, the tumor suppressor genes APC and DCC were in separate micro-retained regions within larger deletions on chromosome 5, suggesting a selective pressure to retain two copies of these genes during AML progression. Of the 4.8M single nucleotide variants (SNVs) detected in the tumor genome, 33,006 were not found in databases or this patient's normal genome and are, therefore, potential somatic mutations. We identified 46 tier 1 high confidence (HC) SNVs (coding and splice site variants), 388 tier 2 HC SNVs (conserved non-coding variants), 2,185 tier 3 HC SNVs (variants in non-repetitive regions), and 5,862 tier 4 HC SNVs (all other variants). Tier 1 SNVs were prioritized for validation given their potential to be functionally significant. 22/46 Tier 1 HC SNVs were validated as acquired mutations in the AML sample using the 454 platform (5 synonymous, 1 nonsense, and 16 missense mutations). Only 1/22 SNVs has previously been found in myeloid cancers (WT1). The mutant allele frequency of the 22 mutations ranged from 9–100% in the tumor sample based on the 454 deep read counts, suggesting that the underlying heterogeneity that is common in de novo MDS persists during transformation to AML. By sequencing the 22 somatic SNVs in the MDS sample, we identified 10 mutations that were present in both the MDS and AML samples and 12 AML-specific mutations. The latter are likely to be important for MDS to AML evolution. By analyzing the mutant allele frequencies of all 22 SNVs, we predict that 1 dominant clone and 2 sub-clones coexist in the AML sample. All 22 genes with mutations are expressed in the AML sample but none of the 22 SNVs have recurrent mutations at the same nucleotide position in an additional 150 de novo MDS samples. Finally, the residual non-deleted allele of ACTR5, located in the 2.5Mb minimally deleted region (MDR) on chromosome 20, is mutated during AML transformation, implicating it as a potential 20q tumor suppressor gene. Collectively, analysis of WGS data identified mutations in 21 genes not previously implicated in MDS or AML, identified 12 genes as potential drivers of evolution from MDS to AML, allowed for fine mapping of deletion breakpoints on chromosomes 5 and 20, and identified a potential tumor suppressor on the del(20q) MDR. Disclosures: No relevant conflicts of interest to declare.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Brent S. Pedersen ◽  
Joe M. Brown ◽  
Harriet Dashnow ◽  
Amelia D. Wallace ◽  
Matt Velinder ◽  
...  

AbstractIn studies of families with rare disease, it is common to screen for de novo mutations, as well as recessive or dominant variants that explain the phenotype. However, the filtering strategies and software used to prioritize high-confidence variants vary from study to study. In an effort to establish recommendations for rare disease research, we explore effective guidelines for variant (SNP and INDEL) filtering and report the expected number of candidates for de novo dominant, recessive, and autosomal dominant modes of inheritance. We derived these guidelines using two large family-based cohorts that underwent whole-genome sequencing, as well as two family cohorts with whole-exome sequencing. The filters are applied to common attributes, including genotype-quality, sequencing depth, allele balance, and population allele frequency. The resulting guidelines yield ~10 candidate SNP and INDEL variants per exome, and 18 per genome for recessive and de novo dominant modes of inheritance, with substantially more candidates for autosomal dominant inheritance. For family-based, whole-genome sequencing studies, this number includes an average of three de novo, ten compound heterozygous, one autosomal recessive, four X-linked variants, and roughly 100 candidate variants following autosomal dominant inheritance. The slivar software we developed to establish and rapidly apply these filters to VCF files is available at https://github.com/brentp/slivar under an MIT license, and includes documentation and recommendations for best practices for rare disease analysis.


Author(s):  
Emmanuel Lecorche ◽  
Côme Daniau ◽  
Kevin La ◽  
Faiza Mougari ◽  
Hanaa Benmansour ◽  
...  

Abstract Background Post-surgical infections due to Mycobacterium chimaera appeared as a novel nosocomial threat in 2015, with a worldwide outbreak due to contaminated heater-cooler units used in open chest surgery. We report the results of investigations conducted in France including whole genome sequencing comparison of patient and HCU isolates. Methods We sought M. chimaera infection cases from 2010 onwards through national epidemiological investigations in healthcare facilities performing cardiopulmonary bypass together with a survey on good practices and systematic heater-cooler unit microbial analyses. Clinical and HCU isolates were subjected to whole genome sequencing analyzed with regards to the reference outbreak strain Zuerich-1. Results Only two clinical cases were shown to be related to the outbreak, although 23% (41/175) heater-cooler units were declared positive for M. avium complex. Specific measures to prevent infection were applied in 89% (50/56) healthcare facilities although only 14% (8/56) of them followed the manufacturer maintenance recommendations. Whole genome sequencing comparison showed that the clinical isolates and 72% (26/36) of heater-cooler unit isolates belonged to the epidemic cluster. Within clinical isolates, 5 to 9 non-synonymous single nucleotide polymorphisms were observed, among which an in vivo mutation in a putative efflux pump gene observed in a clinical isolate obtained for one patient under antimicrobial treatment. Conclusions Cases of post-surgical M. chimaera infections were declared to be rare in France, although heater-cooler units were contaminated as in other countries. Genomic analyses confirmed the connection to the outbreak and identified specific single nucleotide polymorphisms, including one suggesting fitness evolution in vivo.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253440
Author(s):  
Samantha Gunasekera ◽  
Sam Abraham ◽  
Marc Stegger ◽  
Stanley Pang ◽  
Penghao Wang ◽  
...  

Whole-genome sequencing is essential to many facets of infectious disease research. However, technical limitations such as bias in coverage and tagmentation, and difficulties characterising genomic regions with extreme GC content have created significant obstacles in its use. Illumina has claimed that the recently released DNA Prep library preparation kit, formerly known as Nextera Flex, overcomes some of these limitations. This study aimed to assess bias in coverage, tagmentation, GC content, average fragment size distribution, and de novo assembly quality using both the Nextera XT and DNA Prep kits from Illumina. When performing whole-genome sequencing on Escherichia coli and where coverage bias is the main concern, the DNA Prep kit may provide higher quality results; though de novo assembly quality, tagmentation bias and GC content related bias are unlikely to improve. Based on these results, laboratories with existing workflows based on Nextera XT would see minor benefits in transitioning to the DNA Prep kit if they were primarily studying organisms with neutral GC content.


2018 ◽  
Author(s):  
Maxime Garcia ◽  
Szilveszter Juhos ◽  
Malin Larsson ◽  
Pall I. Olason ◽  
Marcel Martin ◽  
...  

AbstractSummaryWhole-genome sequencing (WGS) is a cornerstone of precision medicine, but portable and reproducible open-source workflows for WGS analyses of germline and somatic variants are lacking. We present Sarek, a modular, comprehensive, and easy-to-install workflow, combining a range of software for the identification and annotation of single-nucleotide variants (SNVs), insertion and deletion variants (indels), structural variants, tumor sample heterogeneity, and karyotyping from germline or paired tumor/normal samples. Sarek is implemented in a bioinformatics workflow language (Nextflow) with Docker and Singularity compatible containers, ensuring easy deployment and full reproducibility at any Linux based compute cluster or cloud computing environment. Sarek supports the human reference genomes GRCh37 and GRCh38, and can readily be used both as a core production workflow at sequencing facilities and as a powerful stand-alone tool for individual research groups.AvailabilitySource code and instructions for local installation are available at GitHub (https://github.com/SciLifeLab/Sarek) under the MIT open-source license, and we invite the research community to contribute additional functionality as a collaborative open-source development project.


Foods ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2454
Author(s):  
Rebecca N. Bland ◽  
Jared D. Johnson ◽  
Joy G. Waite-Cusic ◽  
Alexandra J. Weisberg ◽  
Elizabeth R. Riutta ◽  
...  

Recent listeriosis outbreaks linked to fresh produce suggest the need to better understand and mitigate L. monocytogenes contamination in packing and processing environments. Using whole genome sequencing (WGS) and phenotype screening assays for sanitizer tolerance, we characterized 48 L. monocytogenes isolates previously recovered from environmental samples in five produce handling facilities. Within the studied population there were 10 sequence types (STs) and 16 cgMLST types (CTs). Pairwise single nucleotide polymorphisms (SNPs) ranged from 0 to 3047 SNPs within a CT, revealing closely and distantly related isolates indicative of both sporadic and continuous contamination events within the facility. Within Facility 1, we identified a closely related cluster (0–2 SNPs) of isolates belonging to clonal complex 37 (CC37; CT9492), with isolates recovered during sampling events 1-year apart and in various locations inside and outside the facility. The accessory genome of these CC37 isolates varied from 94 to 210 genes. Notable genetic elements and mutations amongst the isolates included the bcrABC cassette (2/48), associated with QAC tolerance; mutations in the actA gene on the Listeria pathogenicity island (LIPI) 1 (20/48); presence of LIPI-3 (21/48) and LIPI-4 (23/48). This work highlights the potential use of WGS in tracing the pathogen within a facility and understanding properties of L. monocytogenes in produce settings.


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