1. |
- Kumar, Vikash, et al.
(author)
-
Genome-Wide Identification of Populus Malectin/Malectin-Like Domain-Containing Proteins and Expression Analyses Reveal Novel Candidates for Signaling and Regulation of Wood Development
- 2020
-
In: Frontiers in Plant Science. - : FRONTIERS MEDIA SA. - 1664-462X. ; 11, s. 1-20
-
Journal article (peer-reviewed)abstract
- Malectin domain (MD) is a ligand-binding protein motif of pro- and eukaryotes. It is particularly abundant in Viridiplantae, where it occurs as either a single (MD, PF11721) or tandemly duplicated domain (PF12819) called malectin-like domain (MLD). In herbaceous plants, MD- or MLD-containing proteins (MD proteins) are known to regulate development, reproduction, and resistance to various stresses. However, their functions in woody plants have not yet been studied. To unravel their potential role in wood development, we carried out genome-wide identification of MD proteins in the model tree species black cottonwood (Populus trichocarpa), and analyzed their expression and co-expression networks. P. trichocarpa had 146 MD genes assigned to 14 different clades, two of which were specific to the genus Populus. 87% of these genes were located on chromosomes, the rest being associated with scaffolds. Based on their protein domain organization, and in agreement with the exon-intron structures, the MD genes identified here could be classified into five superclades having the following domains: leucine-rich repeat (LRR)-MD-protein kinase (PK), MLD-LRR-PK, MLD-PK (CrRLK1L), MLD-LRR, and MD-Kinesin. Whereas the majority of MD genes were highly expressed in leaves, particularly under stress conditions, eighteen showed a peak of expression during secondary wall formation in the xylem and their co-expression networks suggested signaling functions in cell wall integrity, pathogen-associated molecular patterns, calcium, ROS, and hormone pathways. Thus, P. trichocarpa MD genes having different domain organizations comprise many genes with putative foliar defense functions, some of which could be specific to Populus and related species, as well as genes with potential involvement in signaling pathways in other tissues including developing wood.
|
|
2. |
- Mannapperuma, Chanaka, 1982-
(author)
-
Human-computer interaction principles for developing web-based genomics resources
- 2020
-
Doctoral thesis (other academic/artistic)abstract
- Genomics projects, including genome sequencing, transcriptomics, genome-wide association mapping and epigenetics assays, producevast quantities of data. Extracting the required information from such complex datasets is a significant challenge and even where software tools do exist, these are often not intuitive or designed fornon-specialist users. This dissertation details how I have applied design principles from the field of Human-Computer Interaction (HCI) to the development of intuitive bioinformatics web-based resources for exploring genomics data. In the first part of the thesis I detail the development of a specialised genomics resource that enables non specialists who lack bioinformatics skills to access, explore and extract new knowledge from a variety of genomics data types. These tools were developed in collaboration with wet lab biologists and bioinformaticians who represent typical end-users. The tools developed have been integrated within the PlantGenIE (Plant Genome IntegrativeExplorer) web resource, which has been established as a platform for exploring genomics data for Populus, conifer, Eucalyptus and Arabidopsisgenomics data. Even though the ability to collect, store and manage data is increasing faster due to new technologies and science, our ability to understand it remains constant. To help address this, in the second part of this dissertation I focus on the usability enhancement of tools based on the HCI and User Experience (UX) practices. To achieve this, I utilised visualisation techniques and design principles in the design process for the improvement of the PlantGenIEUser Interface (UI), and applied usability methods to evaluate the UX of PlantGenIE tools. These results were then used to inform adaptations and fine-tuning of those. I show that utilisation of these research methods and practices with the development life cycle represents a framework for designing usable bioinformatics tools. Wider-scale use of these methods by future designers and developers will enable the creation of more usable bioinformatics resources.
|
|
3. |
- Mähler, Niklas, et al.
(author)
-
Leaf shape in Populus tremula is a complex, omnigenic trait
- 2020
-
In: Ecology and Evolution. - : John Wiley & Sons. - 2045-7758. ; 10:21, s. 11922-11940
-
Journal article (peer-reviewed)abstract
- Leaf shape is a defining feature of how we recognize and classify plant species. Although there is extensive variation in leaf shape within many species, few studies have disentangled the underlying genetic architecture. We characterized the genetic architecture of leaf shape variation in Eurasian aspen (Populus tremula L.) by performing genome‐wide association study (GWAS) for physiognomy traits. To ascertain the roles of identified GWAS candidate genes within the leaf development transcriptional program, we generated RNA‐Seq data that we used to perform gene co‐expression network analyses from a developmental series, which is publicly available within the PlantGenIE resource. We additionally used existing gene expression measurements across the population to analyze GWAS candidate genes in the context of a population‐wide co‐expression network and to identify genes that were differentially expressed between groups of individuals with contrasting leaf shapes. These data were integrated with expression GWAS (eQTL) results to define a set of candidate genes associated with leaf shape variation. Our results identified no clear adaptive link to leaf shape variation and indicate that leaf shape traits are genetically complex, likely determined by numerous small‐effect variations in gene expression. Genes associated with shape variation were peripheral within the population‐wide co‐expression network, were not highly connected within the leaf development co‐expression network, and exhibited signatures of relaxed selection. As such, our results are consistent with the omnigenic model.
|
|
4. |
- Yang, Fu-Sheng, et al.
(author)
-
Chromosome-level genome assembly of a parent species of widely cultivated azaleas
- 2020
-
In: Nature Communications. - : Nature Publishing Group. - 2041-1723. ; 11:1
-
Journal article (peer-reviewed)abstract
- Azaleas (Ericaceae) comprise one of the most diverse ornamental plants, renowned for their cultural and economic importance. We present a chromosome-scale genome assembly for Rhododendron simsii, the primary ancestor of azalea cultivars. Genome analyses unveil the remnants of an ancient whole-genome duplication preceding the radiation of most Ericaceae, likely contributing to the genomic architecture of flowering time. Small-scale gene duplications contribute to the expansion of gene families involved in azalea pigment biosynthesis. We reconstruct entire metabolic pathways for anthocyanins and carotenoids and their potential regulatory networks by detailed analysis of time-ordered gene co-expression networks. MYB, bHLH, and WD40 transcription factors may collectively regulate anthocyanin accumulation in R. simsii, particularly at the initial stages of flower coloration, and with WRKY transcription factors controlling progressive flower coloring at later stages. This work provides a cornerstone for understanding the underlying genetics governing flower timing and coloration and could accelerate selective breeding in azalea. Azaleas are one of the most diverse ornamental plants and have cultural and economic importance. Here, the authors report a chromosome-scale genome assembly for the primary ancestor of the azalea cultivar Rhododendro simsi and identify transcription factors that may function in flower coloration at different stages.
|
|