Antarctic desert soil bacteria exhibit high novel natural product potential, evaluated through long-read genome sequencing and comparative genomics

The third of our collaborative “controlled bacterial metagenome” de novo whole genome assembly projects was published in Environmental Microbiology in November. This was a fun collaboration with the Ferrari lab at UNSW trying to maximise bang for buck to sequence some complete bacterial genomes using PacBio sequencing to identify biosynthetic gene clusters. As with a previous paper, we used pooled genomic DNA sequencing and were able to assemble complete genomes (and plasmids) of the 13/17 species that had sufficient depth of coverage. Coolest of all (if you excuse the pun), these were bugs from an Antarctic expedition! Head over to the Ferrari lab website to find out more about their research.

Benaud N, Edwards RJ, Amos TG, D’Agostino PM, Gutiérrez-Cháveza C, Montgomery K, Nicetic I & Ferrari BC (2020). Antarctic desert soil bacteria exhibit high novel natural product potential, evaluated through long-read genome sequencing and comparative genomics. Environmental Microbiology. https://doi.org/10.1111/1462-2920.15300

Abstract

Actinobacteria and Proteobacteria are important producers of bioactive natural products (NP), and these phyla dominate in the arid soils of Antarctica, where metabolic adaptations influence survival under harsh conditions. Biosynthetic gene clusters (BGCs) which encode NPs, are typically long and repetitious high G + C regions difficult to sequence with short‐read technologies. We sequenced 17 Antarctic soil bacteria from multi‐genome libraries, employing the long‐read PacBio platform, to optimize capture of BGCs and to facilitate a comprehensive analysis of their NP capacity. We report 13 complete bacterial genomes of high quality and contiguity, representing 10 different cold‐adapted genera including novel species. Antarctic BGCs exhibited low similarity to known compound BGCs (av. 31%), with an abundance of terpene, non‐ribosomal peptide and polyketide‐encoding clusters. Comparative genome analysis was used to map BGC variation between closely related strains from geographically distant environments. Results showed the greatest biosynthetic differences to be in a psychrotolerant Streptomyces strain, as well as a rare Actinobacteria genus, Kribbella, while two other Streptomyces spp. were surprisingly similar to known genomes. Streptomyces and Kribbella BGCs were predicted to encode antitumour, antifungal, antibacterial and biosurfactant‐like compounds, and the synthesis of NPs with antibacterial, antifungal and surfactant properties was confirmed through bioactivity assays.

We are recruiting! Two year Postdoc available in plant conservation genomics

We have a two year full time postdoc position available to conduct bioinformatics, laboratory and field research in the area of conservation genomics as part of ARC Linkage Project LP180100721, and assist in the supervision of honours and postgraduate research students as required. This is a collaborative project between the University of New South Wales, Royal Botanic Gardens Sydney and the Australian National University to develop approaches for the conservation of plant species that are threatened by a fungal pathogen (Austropuccinia psidii, the cause of myrtle rust). Techniques involved include but are not limited to field collection of plant material, DNA extraction, plant growth experiments, execution of software for bioinformatic and statistical analyses.

More details can be found on the UNSW jobs site here: https://external-careers.jobs.unsw.edu.au/cw/en/job/499957/postdoctoral-research-associate. Informal enquiries are welcome if you want to know more about the project.

Computational Prediction of Disordered Protein Motifs Using SLiMSuite

Edwards RJ, Paulsen K, Aguilar Gomez CM & Pérez-Bercoff Å (2020): Computational Prediction of Disordered Protein Motifs using SLiMSuite. Methods Mol Biol. 2141:37-72. doi: 10.1007/978-1-0716-0524-0_3. [PubMed]

Abstract

Short linear motifs (SLiMs) are important mediators of interactions between intrinsically disordered regions of proteins and their interaction partners. Here, we detail instructions for the computational prediction of SLiMs in disordered protein regions, using the main tools of the SLiMSuite package: (1) SLiMProb identifies and calculates enrichment of predefined motifs in a set of proteins; (2) SLiMFinder predicts SLiMs de novo in a set of proteins, accounting for evolutionary relationships; (3) QSLiMFinder increases SLiMFinder sensitivity by focusing SLiM prediction on a specific query protein/region; (4) CompariMotif compares predicted SLiMs to known SLiMs or other SLiM predictions to identify common patterns. For each tool, command-line and online server examples are provided. Detailed notes provide additional advice on different applications of SLiMSuite, including batch running of multiple datasets and conservation masking using alignments of predicted orthologues.

Do epigenetic changes drive corticosterone responses to alarm cues in larvae of an invasive amphibian?

Our latest cane toad paper is now online at Integrative and Comparative Biology, using our draft cane toad genome as the reference for differential methylation analysis. (Thanks to coronavirus delays, the updated cane toad genome was not quite ready for this analysis but watch this space!)

Sarma RR, Edwards RJ, Crino OL, Eyck HJF, Waters PD, Crossland MR, Shine R & Rollins LA (accepted): Do epigenetic changes drive corticosterone responses to alarm cues in larvae of an invasive amphibian? Integrative and Comparative Biology icaa082

Abstract

The developmental environment can exert powerful effects on animal phenotype. Recently epigenetic modifications have emerged as one mechanism that can modulate developmentally plastic responses to environmental variability. For example, the DNA methylation profile at promoters of hormone receptor genes can affect their expression and patterns of hormone release. Across taxonomic groups, epigenetic alterations have been linked to changes in glucocorticoid (GC) physiology. GCs are metabolic hormones that influence growth, development, transitions between life-history stages, and thus fitness. To date, relatively few studies have examined epigenetic effects on phenotypic traits in wild animals, especially in amphibians. Here, we examined the effects of exposure to predation threat and experimentally manipulated DNA methylation on corticosterone (CORT) levels in tadpoles and metamorphs of the invasive cane toad (Rhinella marina). We included offspring of toads sampled from populations across the species’ Australian range. In these animals, exposure to chemical cues from injured conspecifics induces shifts in developmental trajectories, putatively as an adaptive response that lessens vulnerability to predation. We exposed tadpoles to these alarm cues, and measured changes in DNA methylation and CORT levels, both of which are mechanisms that have been implicated in the control of phenotypically plastic responses in tadpoles. To test the idea that DNA methylation drives shifts in GC physiology, we also experimentally manipulated methylation levels with the drug zebularine. We found differentially methylated regions between control tadpoles and their full-siblings exposed to alarm cues, zebularine or both treatments. However, the effects of these manipulations on methylation patterns were weaker than clutch (e.g. genetic, maternal, etc.) effects. CORT levels were higher in larval cane toads exposed to alarm cues and zebularine. We found little evidence of changes in DNA methylation across the glucocorticoid receptor gene (NR3C1) promoter region in response to alarm cue or zebularine exposure. In both alarm cue and zebularine-exposed individuals, we found differentially methylated DNA in the suppressor of cytokine signaling 3 gene (SOCS3), which may be involved in predator avoidance behavior. In total, our data reveal that alarm cues have significant impacts on tadpole physiology, but show only weak links between DNA methylation and CORT levels. We also identify genes containing differentially methylated regions in tadpoles exposed to alarm cues and zebularine, particularly in range-edge populations, that warrant further investigation.

Johansson SA, Stephenson P, Edwards RJ, Yoshida K, Moore M, Terauchi R, Zubkov MV, Terry MJ & Bibby TS (2020): Isolation and molecular characterisation of Dunaliella tertiolecta with truncated light-harvesting antenna for enhanced photosynthetic efficiency. Algal Research 48:101917.

Highlights

• Liquid based screening and selection of algae with truncated light harvesting antenna
• Selection of algae with improved photosynthetic efficiency
• Genome independent transcriptome profiling characterises photosynthetic physiology.
• Develops potential to exploit the natural diversity of microalgae for biotechnology

Abstract

Here we report the development of a high-throughput selection protocol using random mutagenesis and live single-cell sorting to isolate cell lines from the algae Dunaliella tertiolecta with reduced chlorophyll content, with the aim to optimise the antenna size for increased photosynthetic efficiency. Two promising cell lines (lca1 and lca2) have been isolated that display a truncated light-harvesting antenna, and hence improved photosynthetic energy conversion efficiency by increasing the light intensity at which photosynthesis becomes saturated (Is). lca1 and lca2 differ significantly: the lca2 phenotype retains an ability to alter its antenna size in response to varying light intensity, whereas lca1 appears to have lost this ability and is ‘locked’ to a truncated antenna and high-light phenotype. Despite these clear differences, transcriptomic analysis shows that the expression profiles for differentially expressed nuclear-encoded photosynthetic genes is similar in both lca1 and lca2, possibly suggesting underlying mutations in the regulation of photosynthesis are causing the observed changes in phenotype rather than mutations impacting specific components of the photosynthetic apparatus. The combination of approaches presented here offer the capacity to substantially improve photosynthetic efficiency from any microalgal species irrespective of the extent to which it has been characterised genetically or the availability of molecular tools for rational engineering. It thus offers the potential to begin to exploit the huge natural diversity of microalgae for enhanced biomass production.

Canfam_GSD: De novo chromosome-length genome assembly of the German Shepherd Dog (Canis lupus familiaris) using a combination of long reads, optical mapping, and Hi-C

Our latest paper is out! This one is a bit more photogenic than the cane toad - a German Shepherd Dog called Nala. This was a big international effort in a collaboration led by Bill Ballard at UNSW that included a dozen institutions across four continents. We threw all the main sequencing technologies at this one and achieved a chromosome-level assembly of better quality than the current “CanFam” reference genome.

You can find out more in the UNSW press release.

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Field MA, Rosen BD, Dudchenko O, Chan EKF, Minoche AM, Edwards RJ, Barton K, Lyons RJ, Enosi Tuipulotu D, Hayes VM, Omer AD, Colaric Z, Keilwagen J, Skvortsova K, Bogdanovic O, Smith MA, Lieberman Aiden E, Smith TPL, Zammit RA & Ballard JWO (2020): Canfam_GSD: De novo chromosome-length genome assembly of the German Shepherd Dog (Canis lupus familiaris) using a combination of long reads, optical mapping, and Hi-C. GigaScience 9(4):giaa027. [GigaScience]

Abstract

Background

The German Shepherd Dog (GSD) is one of the most common breeds on earth and has been bred for its utility and intelligence. It is often first choice for police and military work, as well as protection, disability assistance, and search-and-rescue. Yet, GSDs are well known to be susceptible to a range of genetic diseases that can interfere with their training. Such diseases are of particular concern when they occur later in life, and fully trained animals are not able to continue their duties.

Findings

Here, we provide the draft genome sequence of a healthy German Shepherd female as a reference for future disease and evolutionary studies. We generated this improved canid reference genome (CanFam_GSD) utilizing a combination of Pacific Bioscience, Oxford Nanopore, 10X Genomics, Bionano, and Hi-C technologies. The GSD assembly is ∼80 times as contiguous as the current canid reference genome (20.9 vs 0.267 Mb contig N50), containing far fewer gaps (306 vs 23,876) and fewer scaffolds (429 vs 3,310) than the current canid reference genome CanFamv3.1. Two chromosomes (4 and 35) are assembled into single scaffolds with no gaps. BUSCO analyses of the genome assembly results show that 93.0% of the conserved single-copy genes are complete in the GSD assembly compared with 92.2% for CanFam v3.1. Homology-based gene annotation increases this value to ∼99%. Detailed examination of the evolutionarily important pancreatic amylase region reveals that there are most likely 7 copies of the gene, indicative of a duplication of 4 ancestral copies and the disruption of 1 copy.

Conclusions

GSD genome assembly and annotation were produced with major improvement in completeness, continuity, and quality over the existing canid reference. This resource will enable further research related to canine diseases, the evolutionary relationships of canids, and other aspects of canid biology.

Photo credit: Outdoor Action Photography.

Jack Clarke (Honours student)

Jack worked in the Edwards Lab in 2020 for his Honour years, researching the evolution of snake venoms using the lab’s de novo genome assemblies of two Australian snakes (Eastern brown snake and mainland tiger snake). His researched focused on phylogenetic analysis of venom gene families in order to understand how venom divergence has occurred in different branches of the snake lineage. The work focused on the role that tandem gene duplication events had played in the evolution of specific venom gene families and identified novel sites of tandem duplication shared across multiple snake species.

Jack holds a Bachelor of Advanced Science (Honours) (First Class) with majors in Bioinformatics and Genetics. He is currently completing his PhD at UNSW in collaboration with the Victor Chang institute.

[LinkedIn]