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July 7, 2019  |  

No evidence for extensive horizontal gene transfer in the genome of the tardigrade Hypsibius dujardini.

Tardigrades are meiofaunal ecdysozoans that are key to understanding the origins of Arthropoda. Many species of Tardigrada can survive extreme conditions through cryptobiosis. In a recent paper [Boothby TC, et al. (2015) Proc Natl Acad Sci USA 112(52):15976-15981], the authors concluded that the tardigrade Hypsibius dujardini had an unprecedented proportion (17%) of genes originating through functional horizontal gene transfer (fHGT) and speculated that fHGT was likely formative in the evolution of cryptobiosis. We independently sequenced the genome of H. dujardini As expected from whole-organism DNA sampling, our raw data contained reads from nontarget genomes. Filtering using metagenomics approaches generated a draft H. dujardini genome assembly of 135 Mb with superior assembly metrics to the previously published assembly. Additional microbial contamination likely remains. We found no support for extensive fHGT. Among 23,021 gene predictions we identified 0.2% strong candidates for fHGT from bacteria and 0.2% strong candidates for fHGT from nonmetazoan eukaryotes. Cross-comparison of assemblies showed that the overwhelming majority of HGT candidates in the Boothby et al. genome derived from contaminants. We conclude that fHGT into H. dujardini accounts for at most 1-2% of genes and that the proposal that one-sixth of tardigrade genes originate from functional HGT events is an artifact of undetected contamination.

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July 7, 2019  |  

Reply to Bemm et al. and Arakawa: Identifying foreign genes in independent Hypsibius dujardini genome assemblies.

Our report (1) describing the discovery of extensive horizontal gene transfer in a tardigrade genome has raised questions from other groups who were sequencing the Hypsibius dujardini genome in parallel or who have done new experiments and analyses since our report (2??–5). Bemm et al. (2) now report filtering our data for likely contaminants, resulting in a new, prefiltered genome assembly. Arakawa (3) has sequenced genomes of starved, washed, individual animals that had been treated with antibiotics for 48 h, and used this genomic sequence and RNA-Seq data to identify likely bona fide tardigrade contigs. Two other reports have contributed data and analysis: Delmont and Eren (4) used a newly published analysis and visualization platform, Anvi’o (6), to identify likely contaminants in our genome assembly, and Koutsovoulos et al. (5) applied useful taxon-annotated GC coverage plots (Blobplots) (7) to our data and reported an independent genome assembly.

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July 7, 2019  |  

Recombination rate heterogeneity within Arabidopsis disease resistance genes.

Meiotic crossover frequency varies extensively along chromosomes and is typically concentrated in hotspots. As recombination increases genetic diversity, hotspots are predicted to occur at immunity genes, where variation may be beneficial. A major component of plant immunity is recognition of pathogen Avirulence (Avr) effectors by resistance (R) genes that encode NBS-LRR domain proteins. Therefore, we sought to test whether NBS-LRR genes would overlap with meiotic crossover hotspots using experimental genetics in Arabidopsis thaliana. NBS-LRR genes tend to physically cluster in plant genomes; for example, in Arabidopsis most are located in large clusters on the south arms of chromosomes 1 and 5. We experimentally mapped 1,439 crossovers within these clusters and observed NBS-LRR gene associated hotspots, which were also detected as historical hotspots via analysis of linkage disequilibrium. However, we also observed NBS-LRR gene coldspots, which in some cases correlate with structural heterozygosity. To study recombination at the fine-scale we used high-throughput sequencing to analyze ~1,000 crossovers within the RESISTANCE TO ALBUGO CANDIDA1 (RAC1) R gene hotspot. This revealed elevated intragenic crossovers, overlapping nucleosome-occupied exons that encode the TIR, NBS and LRR domains. The highest RAC1 recombination frequency was promoter-proximal and overlapped CTT-repeat DNA sequence motifs, which have previously been associated with plant crossover hotspots. Additionally, we show a significant influence of natural genetic variation on NBS-LRR cluster recombination rates, using crosses between Arabidopsis ecotypes. In conclusion, we show that a subset of NBS-LRR genes are strong hotspots, whereas others are coldspots. This reveals a complex recombination landscape in Arabidopsis NBS-LRR genes, which we propose results from varying coevolutionary pressures exerted by host-pathogen relationships, and is influenced by structural heterozygosity.

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July 7, 2019  |  

Improved long read correction for de novo assembly using an FM-index

Long read sequencing is changing the landscape of genomic research, especially de novo assembly. Despite the high error rate inherent to long read technologies, increased read lengths dramatically improve the continuity and accuracy of genome assemblies. However, the cost and throughput of these technologies limits their application to complex genomes. One solution is to decrease the cost and time to assemble novel genomes by leveraging textquotedbllefthybridtextquotedblright assemblies that use long reads for scaffolding and short reads for accuracy. To this end, we describe a novel application of a multi-string Burrows-Wheeler transform with auxiliary FM-index to correct errors in long read sequences using a set of complementary short reads. We show that our method efficiently produces significantly higher quality corrected sequence than existing hybrid error-correction methods. We demonstrate the effectiveness of our method compared to state-of-the-art hybrid and long-read only de novo assembly methods.

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July 7, 2019  |  

Complete genome sequence of a bacterium representing a deep uncultivated lineage within the Gammaproteobacteria associated with the degradation of polycyclic aromatic hydrocarbons.

The bacterial strain TR3.2, representing a novel deeply branching lineage within the Gammaproteobacteria, was isolated and its genome sequenced. This isolate is the first cultivated representative of the previously described “Pyrene Group 2” (PG2) and represents a variety of environmental sequences primarily associated with petrochemical contamination and aromatic hydrocarbon degradation. Copyright © 2016 Singleton et al.

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July 7, 2019  |  

Transfer of the methicillin resistance genomic island among staphylococci by conjugation.

Methicillin resistance creates a major obstacle for treatment of Staphylococcus aureus infections. The resistance gene, mecA, is carried on a large (20 kb to?>?60 kb) genomic island, staphylococcal cassette chromosome mec (SCCmec), that excises from and inserts site-specifically into the staphylococcal chromosome. However, although SCCmec has been designated a mobile genetic element, a mechanism for its transfer has not been defined. Here we demonstrate the capture and conjugative transfer of excised SCCmec. SCCmec was captured on pGO400, a mupirocin-resistant derivative of the pGO1/pSK41 staphylococcal conjugative plasmid lineage, and pGO400::SCCmec (pRM27) was transferred by filter-mating into both homologous and heterologous S. aureus recipients representing a range of clonal complexes as well as S. epidermidis. The DNA sequence of pRM27 showed that SCCmec had been transferred in its entirety and that its capture had occurred by recombination between IS257/431 elements present on all SCCmec types and pGO1/pSK41 conjugative plasmids. The captured SCCmec excised from the plasmid and inserted site-specifically into the chromosomal att site of both an isogenic S. aureus and a S. epidermidis recipient. These studies describe a means by which methicillin resistance can be environmentally disseminated and a novel mechanism, IS-mediated recombination, for the capture and conjugative transfer of genomic islands. © 2016 John Wiley & Sons Ltd.

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July 7, 2019  |  

D1FHS, the type strain of the ammonia-oxidizing bacterium Nitrosococcus wardiae spec. nov.: enrichment, isolation, phylogenetic, and growth physiological characterization.

An ammonia-oxidizing bacterium, strain D1FHS, was enriched into pure culture from a sediment sample retrieved in Jiaozhou Bay, a hyper-eutrophic semi-closed water body hosting the metropolitan area of Qingdao, China. Based on initial 16S rRNA gene sequence analysis, strain D1FHS was classified in the genus Nitrosococcus, family Chromatiaceae, order Chromatiales, class Gammaproteobacteria; the 16S rRNA gene sequence with highest level of identity to that of D1FHS was obtained from Nitrosococcus halophilus Nc4(T). The average nucleotide identity between the genomes of strain D1FHS and N. halophilus strain Nc4 is 89.5%. Known species in the genus Nitrosococcus are obligate aerobic chemolithotrophic ammonia-oxidizing bacteria adapted to and restricted to marine environments. The optimum growth (maximum nitrite production) conditions for D1FHS in a minimal salts medium are: 50 mM ammonium and 700 mM NaCl at pH of 7.5 to 8.0 and at 37°C in dark. Because pertinent conditions for other studied Nitrosococcus spp. are 100-200 mM ammonium and <700 mM NaCl at pH of 7.5 to 8.0 and at 28-32°C, D1FHS is physiologically distinct from other Nitrosococcus spp. in terms of substrate, salt, and thermal tolerance.

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July 7, 2019  |  

Susan Celniker: Foundational resources to study a dynamic genome.

The Genetics Society of America’s George W. Beadle Award honors individuals who have made outstanding contributions to the community of genetics researchers and who exemplify the qualities of its namesake. The 2016 recipient, Susan E. Celniker, played a key role in the sequencing, annotation, and characterization of the Drosophila genome. She participated in early sequencing efforts at the Lawrence Berkeley National Laboratory and led the modENCODE Fly Transcriptome Consortium. Her efforts were critical to ensuring that the Drosophila genome was well-annotated, making it one of the best curated animal genomes available. As the Principal Investigator for the BDGP, Celniker has enabled the study of proteomes by creating a collection of over 13,000 clones that match annotated genes for protein expression in cells or transgenic flies, and she has established the most comprehensive spatial gene expression atlas in any organism, with in situ imaging of more than 80% of the Drosophila protein-coding transcriptome through embryogenesis. In addition to providing the research community with these invaluable resources and reagents, she continues to develop new tools and datasets for genetics researchers to explore the spatial and temporal control of gene expression.

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July 7, 2019  |  

FMLRC: Hybrid long read error correction using an FM-index.

Long read sequencing is changing the landscape of genomic research, especially de novo assembly. Despite the high error rate inherent to long read technologies, increased read lengths dramatically improve the continuity and accuracy of genome assemblies. However, the cost and throughput of these technologies limits their application to complex genomes. One solution is to decrease the cost and time to assemble novel genomes by leveraging “hybrid” assemblies that use long reads for scaffolding and short reads for accuracy.We describe a novel method leveraging a multi-string Burrows-Wheeler Transform with auxiliary FM-index to correct errors in long read sequences using a set of complementary short reads. We demonstrate that our method efficiently produces significantly more high quality corrected sequence than existing hybrid error-correction methods. We also show that our method produces more contiguous assemblies, in many cases, than existing state-of-the-art hybrid and long-read only de novo assembly methods.Our method accurately corrects long read sequence data using complementary short reads. We demonstrate higher total throughput of corrected long reads and a corresponding increase in contiguity of the resulting de novo assemblies. Improved throughput and computational efficiency than existing methods will help better economically utilize emerging long read sequencing technologies.

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