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Genetic foundation of unrivaled survival strategies - Of water bears and carnivorous plants -
(2018)
All living organisms leverage mechanisms and response systems to optimize reproduction, defense, survival, and competitiveness within their natural habitat. Evolutionary theories such as the universal adaptive strategy theory (UAST) developed by John Philip Grime (1979) attempt to describe how these systems are limited by the trade-off between growth, maintenance and regeneration; known as the universal three-way trade-off. Grime introduced three adaptive strategies that enable organisms to coop with either high or low intensities of stress (e.g., nutrient deficiency) and environmental disturbance (e.g., seasons). The competitor is able to outcompete other organisms by efficiently tapping available resources in environments of low intensity stress and disturbance (e.g., rapid growers). A ruderal specism is able to rapidly complete the life cycle especially during high intensity disturbance and low intensity stress (e.g., annual colonizers). The stress tolerator is able to respond to high intensity stress with physiological variability but is limited to low intensity disturbance environments. Carnivorous plants like D. muscipula and tardigrades like M. tardigradum are two extreme examples for such stress tolerators. D. muscipula traps insects in its native habitat (green swamps in North and South Carolina) with specialized leaves and thereby is able to tolerate nutrient deficient soils. M. tardigradum on the other side, is able to escape desiccation of its terrestrial habitat like mosses and lichens which are usually covered by a water film but regularly fall completely dry. The stress tolerance of the two species is the central study object of this thesis. In both cases, high througput sequencing data and methods were used to test for transcriptomic (D. muscipula) or genomic adaptations (M. tardigradum) which underly the stress tolerance. A new hardware resource including computing cluster and high availability storage system was implemented in the first months of the thesis work to effectively analyze the vast amounts of data generated for both projects. Side-by-side, the data management resource TBro [14] was established together with students to intuitively approach complex biological questions and enhance collaboration between researchers of several different disciplines. Thereafter, the unique trapping abilities of D. muscipula were studied using a whole transcriptome approach. Prey-dependent changes of the transcriptional landscape as well as individual tissue-specific aspects of the whole plant were studied. The analysis revealed that non-stimulated traps of D. muscipula exhibit the expected hallmarks of any typical leaf but operates evolutionary conserved stress-related pathways including defense-associated responses when digesting prey. An integrative approach, combining proteome and transcriptome data further enabled the detailed description of the digestive cocktail and the potential nutrient uptake machinery of the plant. The published work [25] as well as a accompanying video material (https://www.eurekalert.org/pub_releases/ 2016-05/cshl-fgr042816.php; Video credit: Sönke Scherzer) gained global press coverage and successfully underlined the advantages of D. muscipula as experimental system to understand the carnivorous syndrome. The analysis of the peculiar stress tolerance of M. tardigradum during cryptobiosis was carried out using a genomic approach. First, the genome size of M. tardigradum was estimated, the genome sequenced, assembled and annotated. The first draft of M. tardigradum and the workflow used to established its genome draft helped scrutinizing the first ever released tardigrade genome (Hypsibius dujardini) and demonstrated how (bacterial) contamination can influence whole genome analysis efforts [27]. Finally, the
M. tardigradum genome was compared to two other tardigrades and all species present in the current release of the Ensembl Metazoa database. The analysis revealed that tardigrade genomes are not that different from those of other Ecdysozoa. The availability of the three genomes allowed the delineation of their phylogenetic position within the Ecdysozoa and placed them as sister taxa to the nematodes. Thereby, the comparative analysis helped to identify evolutionary trends within this metazoan lineage. Surprisingly, the analysis did not reveal general mechanisms (shared by all available tardigrade genomes) behind the arguably most peculiar feature of tardigrades; their enormous stress tolerance. The lack of molecular evidence for individual tardigrade species (e.g., gene expression data for M. tardigradum) and the non-existence of a universal experimental framework which enables hypothesis testing withing the whole phylum Tardigrada, made it nearly impossible to link footprints of genomic adaptations to the unusual physiological capabilities. Nevertheless, the (comparative) genomic framework established during this project will help to understand how evolution tinkered, rewired and modified existing molecular systems to shape the remarkable phenotypic features of tardigrades.
The Venus flytrap, \textit{Dionaea muscipula}, with its carnivorous life-style and its highly
specialized snap-traps has fascinated biologist since the days of Charles Darwin. The
goal of the \textit{D. muscipula} genome project is to gain comprehensive insights into the
genomic landscape of this remarkable plant.
The genome of the diploid Venus flytrap with an estimated size between 2.6 Gbp to
3.0 Gbp is comparatively large and comprises more than 70 % of repetitive regions.
Sequencing and assembly of genomes of this scale are even with state-of-the-art
technology and software challenging. Initial sequencing and assembly of the genome
was performed by the BGI (Beijing Genomics Institute) in 2011 resulting in a 3.7 Gbp
draft assembly. I started my work with thorough assessment of the delivered assembly
and data. My analysis showed that the BGI assembly is highly fragmented and
at the same time artificially inflated due to overassembly of repetitive sequences.
Furthermore, it only comprises about on third of the expected genes in full-length,
rendering it inadequate for downstream analysis.
In the following I sought to optimize the sequencing and assembly strategy to obtain
an assembly of higher completeness and contiguity by improving data quality and
assembly procedure and by developing tailored bioinformatics tools. Issues with
technical biases and high levels of heterogeneity in the original data set were solved
by sequencing additional short read libraries from high quality non-polymorphic DNA
samples. To address contiguity and heterozygosity I examined numerous alternative
assembly software packages and strategies and eventually identified ALLPATHS-LG
as the most suited program for assembling the data at hand. Moreover, by utilizing
digital normalization to reduce repetitive reads, I was able to substantially reduce
computational demands while at the same time significantly increasing contiguity of
the assembly.
To improve repeat resolution and scaffolding, I started to explore the novel PacBio
long read sequencing technology. Raw PacBio reads exhibit high error rates of 15 %
impeding their use for assembly. To overcome this issue, I developed the PacBio
hybrid correction pipeline proovread (Hackl et al., 2014). proovread uses high
coverage Illumina read data in an iterative mapping-based consensus procedure to
identify and remove errors present in raw PacBio reads. In terms of sensitivity and
accuracy, proovread outperforms existing software. In contrast to other correction
programs, which are incapable of handling data sets of the size of D. muscipula
project, proovread’s flexible design allows for the efficient distribution of work load on high-performance computing clusters, thus enabling the correction of the Venus
flytrap PacBio data set.
Next to the assembly process itself, also the assessment of the large de novo draft
assemblies, particularly with respect to coverage by available sequencing data, is
difficult. While typical evaluation procedures rely on computationally extensive
mapping approaches, I developed and implemented a set of tools that utilize k-mer
coverage and derived values to efficiently compute coverage landscapes of large-scale
assemblies and in addition allow for automated visualization of the of the obtained
information in comprehensive plots.
Using the developed tools to analyze preliminary assemblies and by combining my
findings regarding optimizations of the assembly process, I was ultimately able to
generate a high quality draft assembly for D. muscipula. I further refined the assembly
by removal of redundant contigs resulting from separate assembly of heterozygous
regions and additional scaffolding and gapclosing using corrected PacBio data. The
final draft assembly comprises 86 × 10 3 scaffolds and has a total size of 1.45 Gbp.
The difference to the estimated genomes size is well explained by collapsed repeats.
At the same time, the assembly exhibits high fractions full-length gene models,
corroborating the interpretation that the obtained draft assembly provides a complete
and comprehensive reference for further exploration of the fascinating biology of the
Venus flytrap.