scholarly journals Adaptive growth homeostasis in response to drought in Iberian Arabidopsis accessions

2021 ◽  
Author(s):  
Ángel Ferrero-Serrano ◽  
Sarah M Assmann

Plants respond to environmental fluctuations through plastic phenotypic shifts. Whether a plastic response upon environmental variability is adaptive or not has been subject to debate. Using a set of Iberian Arabidopsis accessions, we quantified an interplay between passive plastic reductions in leaf areas that we found typical of accessions from productive environments and homeostatic leaf areas responses to drought typified by accessions originating from unproductive environments. Results from Genome-Wide Association Studies (GWAS) and Transcriptome Wide Association Studies (TWAS) highlight the role of auxin-related processes and, in particular, the possible role of the SMALL AUXIN UP RNA 26 (SAUR26) gene in the regulation of the observed plastic responses. Homeostatic responses in leaf area potential following drought were typical of accessions with lower leaf area potential under well-watered conditions. Transcripts that were negatively associated with leaf area potential and positively associated with homeostatic and positive leaf area plasticity following drought showed functional enrichment in ion transport processes. We hypothesized that the contrasting plastic and homeostatic responses in leaf area potential were associated with differential intrinsic water use efficiency (WUEi). We confirmed this relationship in a metanalysis conducted using previously published δ13C measurements. Our results highlight the adaptive role of homeostatic leaf area response to water depletion arising from increased WUEi. The concerted utilization of Genome-Wide Association Studies (GWAS), Transcriptome Wide Association Studies (TWAS), and expression Genome-Wide Association Studies (eGWAS) allows integration of phenotype, genotype, and transcript abundance to identify both "plasticity genes" and "homeostasis genes" associated with drought stress responses.

2020 ◽  
Vol 26 (5) ◽  
pp. 490-500
Author(s):  
A. O. Konradi

The article reviews monogenic forms of hypertension, data on the role of heredity of essential hypertension and candidate genes, as well as genome-wide association studies. Modern approach for the role of genetics is driven by implementation of new technologies and their productivity. High performance speed of new technologies like genome-wide association studies provide data for better knowledge of genetic markers of hypertension. The major goal nowadays for research is to reveal molecular pathways of blood pressure regulation, which can help to move from populational to individual level of understanding of pathogenesis and treatment targets.


Author(s):  
Diane Gilbert-Diamond ◽  
Folkert W Asselbergs ◽  
Scott M Williams ◽  
Jason H Moore

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Peter Langfelder ◽  
Margarete Mehrabian ◽  
Eric E Schadt ◽  
Aldons J Lusis ◽  
Steve Horvath

The genetic and environmental factors contributing to HDL-cholesterol levels are highly complex. For example, a recent meta-analysis of three genome wide association studies (GWAS), consisting of over 9000 individuals, revealed several loci, but altogether these explained less than 10% of HDL variation. Since HDL has a heritability of about 50%, there clearly must be many as yet unidentified factors. To better address this complexity, we have utilized integrative genomic approaches to relate common DNA variation to gene networks and HDL metabolism. We report a Weighted Gene Co-expression Network Analysis (WGCNA) of genome-wide expression data from a CAST X C57BL6/J F2 intercross. WGCNA is a systems-based gene expression analysis and gene screening method. It utilizes co-expression patterns among genes to identify gene modules (groups of highly co-expressed genes) significantly associated with a clinical trait, in this case plasma HDL levels. Co-expression modules may represent cellular processes and interacting pathways that provide a bridge between individual genes and a systems-level view of the organism. A module-centric analysis effectively alleviates the multiple testing problems inherent in microarray data analysis and can be considered a biologically motivated data-reduction scheme. Using data from liver and adipose tissues, we have identified several modules strongly associated with plasma HDL levels (p-values ranging from below 1e-20 to 1e-5). Gene ontology and functional enrichment analysis indicate that these modules are indeed biologically meaningful. The modules contain variants of several genes under loci that were recently implicated by three GWA studies: liver modules include GCKR, ANGPTL4, ABCA3, APOA1, and APOA4, while the adipose modules include ABCA6, ANGPTL11 and 12, MMAB, MLXIPL, SORT1, PBX4, PLTP, and APOL6. Thus, our study also serves to help identify likely candidates from GWAS. In conclusion, applying WGCNA methods reveals modules that are biologically meaningful, statistically significant, and enriched for genes and pathways related to HDL metabolism and transport.


2010 ◽  
Vol 11 (1) ◽  
Author(s):  
Jianhua Zhao ◽  
Mingyao Li ◽  
Jonathan P Bradfield ◽  
Haitao Zhang ◽  
Frank D Mentch ◽  
...  

2021 ◽  
Vol 7 (45) ◽  
Author(s):  
Tomohito Doke ◽  
Shizheng Huang ◽  
Chengxiang Qiu ◽  
Xin Sheng ◽  
Matthew Seasock ◽  
...  

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 486-486
Author(s):  
Ricardo De Matos Simoes ◽  
Geoffrey M. Matthews ◽  
Yiguo Hu ◽  
Brian Glassner ◽  
Megan A. Bariteau ◽  
...  

Abstract Genome wide association studies (GWAS) in multiple myeloma (MM), and other neoplasias, have provided important insights into candidate germline variations, which may influence the risk of an individual to develop a given cancer, experience adverse clinical outcomes or develop side effects after treatment. However, it has been typically challenging to pursue further mechanistic evaluation of all these germline variants. Consequently, the role of many such variants in myeloma biology and clinical behavior often remains to be elucidated. We reasoned that recently developed functional genomics platforms, such as the CRISPR/Cas9 gene editing methodology, could provide insight into the role of GWAS-derived germline variants in MM. Specifically, we hypothesized that at least some germline variants previously proposed to correlate with higher risk for development of MM or its adverse clinical outcome could reside in or be proximal to genes which influence the proliferation and survival of MM cells. To address this hypothesis, we examined the results from our genome-wide CRISPR/Cas9-based gene editing screens in 2 MM cell lines (MM1.S and RPMI-8226; using the GeCKOv2 library of single guide RNAs [sgRNAs]), as well as additional results from other in-house or publicly available genome-wide CRISPR/Cas9 gene editing studies in 50 cell lines from other hematologic malignancies and 8 different types of solid tumors. In this functional genomic dataset, we examined the performance of 50 genes located in close proximity to over 60 risk loci identified in 6 different previously published GWAS studies for MM. Many of these genes had plausible potential involvement in MM/tumor biology, given their participation in transcriptional control or epigenetic regulation (e.g. CBX7, ASXL2, LCOR, MED24, SMARCD3, POU5F1); immunoglobulin secretion in plasma cells (ELL2), cell-to-cell adhesion (e.g. CDH12, CDH13); DNA repair (e.g. POLQ). We determined whether sgRNAs against these genes exhibited statistically significant (for 3 or more sgRNAs/gene, FDR=0.05) depletion or enrichment among the MM or non-MM cell lines of our study. While 14 and 6 of these genes exhibited statistically significant depletion (FDR=0.05) of their sgRNAs (3 or more per gene) in RPMI8226 and MM.1S cells, respectively, almost all of these genes were not ranked within the top 2000 genes with the most pronounced sgRNA depletion (in terms of log2 fold change and number of depleted sgRNAs/gene) in either MM or non-MM cell lines. Similarly, statistically significant sgRNA enrichment was not observed for the overwhelming majority of the genes in question in MM or non-MM cell lines. Interestingly, however, several genes showed a statistically significant association with clinical outcome in at least one clinically annotated gene expression profiling dataset in MM (e.g. correlation of ELL2, CDH13 transcript levels with clinical outcome of bortezomib-treated MM patients). These results taken together suggest that the majority of genes identified through prior GWAS studies for MM risk or adverse clinical outcome in this disease may have modest, if any, impact of the proliferation or survival of MM cells, as well as many other types of non-MM tumor cells, in CRISPR/Cas9-based screens conducted in cell-autonomous assay systems. In turn, these observations imply that, if these candidate genes are validated to play important roles in the pathophysiology of MM cells in vivo, this may likely involve cell-nonautonomous roles of these genes, e.g. in regulating tumor cell interaction with non-malignant cells in the local microenvironment or immune evasion. Our results highlight the value of a previously underappreciated approach in integrating genome-wide CRISPR/Cas9 in vitro genomic results with GWAS studies, in order to more comprehensively examine the putative roles of candidate germline variants and their proximal genes in the pathophysiology of myeloma and other neoplasias. Disclosures No relevant conflicts of interest to declare.


Sign in / Sign up

Export Citation Format

Share Document