This document analyzes the co-expressed gene network of DREB2A in Arabidopsis thaliana. DREB2A is a transcription factor involved in responses to drought and salt stress. The study uses the ATTED-II database to identify genes that are co-expressed with DREB2A. Several of the top co-expressed genes play roles in stress response pathways, such as heat shock proteins Hsp70b and heat stress transcription factors. The co-expressed network reveals that DREB2A interacts with proteins important for protecting plants from pathogens and stress-induced protein denaturation. Analysis of the co-expressed genes' expression patterns under different conditions provides insight into how their coordinated expression helps maintain homeostasis in response to
Intrinsically disordered proteins in abiotic stress managementSukanthBS
This presentation will provide a clear understanding of what are intrinsically disordered proteins, why they are called so, what's their characteristics and their role, what's their importance in various life forms, how they help organisms in various growth conditions. in this presentation we concentrated on LEA proteins which are considered as one of the largest group of proteins under IDPs which are known to take a role in abiotic stress tolerance. we presented how they carry out this, and a few examples that carried out exhaustive research in this area.
this presentation will give you a clear understanding of INtrinsically disordered proteins for sure.
Intrinsically disordered proteins in abiotic stress managementSukanthBS
This presentation will provide a clear understanding of what are intrinsically disordered proteins, why they are called so, what's their characteristics and their role, what's their importance in various life forms, how they help organisms in various growth conditions. in this presentation we concentrated on LEA proteins which are considered as one of the largest group of proteins under IDPs which are known to take a role in abiotic stress tolerance. we presented how they carry out this, and a few examples that carried out exhaustive research in this area.
this presentation will give you a clear understanding of INtrinsically disordered proteins for sure.
Systemic acquired resistance (SAR): A novel strategy for plant protection.mohd younus wani
Exclusive reliance on pesticides, fungicides and herbicides resulted in pesticide and herbicide, resistance, pest resurgence, residues, environmental pollution. Plants have developed various resistance mechanisms to help them adapt to pathogen and insect attack (Jones and Dangl, 2006). Systemic acquired resistance (SAR) is a form of induced resistance that is activated throughout a plant after being exposed to elicitors from virulent, avirulent, or nonpathogenic microbes, or artificial chemical stimuli such as chitosan or salicylic acid (SA) (Gozzo and Faoro, 2013).It is a mechanism of induced defense that confers long-lasting protection against a broad spectrum of microorganisms. SAR requires the signal molecule salicylic acid (SA) and is associated with accumulation of pathogenesis-related proteins, which contribute resistance to the plants.
They can be used as fungicide alternative without any threat of developing resistance and being safe and ecofriendly (Najar et al, 2010). The elicitor, β-Amino butyric acid induces greater systemic resistance to mulberry in addition to enhancement in biochemical parameters and NPK contents of mulberry leaves (Mazal, 2014).Therefore, in order to control the diseases of mulberry without adverse effect on environment, humans and silkworms health attention needs to be given to promote SAR chemicals. A model needs to be framed to promote the use of these chemicals in order to make sericulture more profitable. This is an ecofriendly approach of disease and pest management. The chitinase genes of mulberry induced by insect wounding and fungal infection, suggesting that these chitinases help the mulberry plant to cope with the challenges from insects and fungi (Wang et al., 2015). Jasmonic acid (JA) is an important plant defense signal mediating resistance to herbivores.
Presently disease control is largely depends on the use of fungicides, bactericides and insecticides. The hazardous nature of these chemicals on the environment, human health and silkworm strongly necessitates the search for new, harmless means of disease control.Induced resistance like SAR can diminish the use of toxic chemicals for disease control and thus could be proposed as an alternative, non-biocidal, ecologically-friendly approach for plant protection and hence for sustainable Sericulture. Induced resistance is increased expression of Natural defense mechanisms against different pathogens provoked by external factors of various types. Systemic acquired resistance (SAR) is a "whole-plant" resistance response and can be distinguished from other disease resistant responses by both the spectrum of pathogen protection and the associated changes with gene expression.
Gene for gene system in plant fungus interactionVinod Upadhyay
MOLECULAR CHARACTERIZATION OF GENE FOR GENE SYSTEMS IN PLANT- FUNGUS INTERACTION AND THE APPLICATIONS OF AVIRULENCE GENES IN CONTROL OF PLANT PATHOGENS
Weiber manufactures Industrial Batch ovens for applications where load size or production volumes vary substantially, batch processing is the optimal solution. Batch oven has been designed to accommodate a variety of load sizes and production volumes. For More Information Please Logon http://goo.gl/HIN26F
Systemic acquired resistance (SAR): A novel strategy for plant protection.mohd younus wani
Exclusive reliance on pesticides, fungicides and herbicides resulted in pesticide and herbicide, resistance, pest resurgence, residues, environmental pollution. Plants have developed various resistance mechanisms to help them adapt to pathogen and insect attack (Jones and Dangl, 2006). Systemic acquired resistance (SAR) is a form of induced resistance that is activated throughout a plant after being exposed to elicitors from virulent, avirulent, or nonpathogenic microbes, or artificial chemical stimuli such as chitosan or salicylic acid (SA) (Gozzo and Faoro, 2013).It is a mechanism of induced defense that confers long-lasting protection against a broad spectrum of microorganisms. SAR requires the signal molecule salicylic acid (SA) and is associated with accumulation of pathogenesis-related proteins, which contribute resistance to the plants.
They can be used as fungicide alternative without any threat of developing resistance and being safe and ecofriendly (Najar et al, 2010). The elicitor, β-Amino butyric acid induces greater systemic resistance to mulberry in addition to enhancement in biochemical parameters and NPK contents of mulberry leaves (Mazal, 2014).Therefore, in order to control the diseases of mulberry without adverse effect on environment, humans and silkworms health attention needs to be given to promote SAR chemicals. A model needs to be framed to promote the use of these chemicals in order to make sericulture more profitable. This is an ecofriendly approach of disease and pest management. The chitinase genes of mulberry induced by insect wounding and fungal infection, suggesting that these chitinases help the mulberry plant to cope with the challenges from insects and fungi (Wang et al., 2015). Jasmonic acid (JA) is an important plant defense signal mediating resistance to herbivores.
Presently disease control is largely depends on the use of fungicides, bactericides and insecticides. The hazardous nature of these chemicals on the environment, human health and silkworm strongly necessitates the search for new, harmless means of disease control.Induced resistance like SAR can diminish the use of toxic chemicals for disease control and thus could be proposed as an alternative, non-biocidal, ecologically-friendly approach for plant protection and hence for sustainable Sericulture. Induced resistance is increased expression of Natural defense mechanisms against different pathogens provoked by external factors of various types. Systemic acquired resistance (SAR) is a "whole-plant" resistance response and can be distinguished from other disease resistant responses by both the spectrum of pathogen protection and the associated changes with gene expression.
Gene for gene system in plant fungus interactionVinod Upadhyay
MOLECULAR CHARACTERIZATION OF GENE FOR GENE SYSTEMS IN PLANT- FUNGUS INTERACTION AND THE APPLICATIONS OF AVIRULENCE GENES IN CONTROL OF PLANT PATHOGENS
Weiber manufactures Industrial Batch ovens for applications where load size or production volumes vary substantially, batch processing is the optimal solution. Batch oven has been designed to accommodate a variety of load sizes and production volumes. For More Information Please Logon http://goo.gl/HIN26F
Widespread and precise reprogramming of yeast protein–genome interactions in ...Cornell University
Gene expression is controlled by a variety of proteins that interact with the genome. Their precise organization and mech- anism of action at every promoter remains to be worked out. To better understand the physical interplay among genome- interacting proteins, we examined the temporal binding of a functionally diverse subset of these proteins: nucleosomes (H3), H2AZ (Htz1), SWR (Swr1), RSC (Rsc1, Rsc3, Rsc58, Rsc6, Rsc9, Sth1), SAGA (Spt3, Spt7, Ubp8, Sgf11), Hsf1, TFIID (Spt15/TBP and Taf1), TFIIB (Sua7), TFIIH (Ssl2), FACT (Spt16), Pol II (Rpb3), and Pol II carboxyl-terminal domain (CTD) phosphory- lation at serines 2, 5, and 7. They were examined under normal and acute heat shock conditions, using the ultrahigh reso- lution genome-wide ChIP-exo assay in Saccharomyces cerevisiae. Our findings reveal a precise positional organization of proteins bound at most genes, some of which rapidly reorganize within minutes of heat shock. This includes more precise positional transitions of Pol II CTD phosphorylation along the 5′ ends of genes than previously seen. Reorganization upon heat shock includes colocalization of SAGA with promoter-bound Hsf1, a change in RSC subunit enrichment from gene bodies to promoters, and Pol II accumulation within promoter/+1 nucleosome regions. Most of these events are widespread and not necessarily coupled to changes in gene expression. Together, these findings reveal protein–genome interactions that are robustly reprogrammed in precise and uniform ways far beyond what is elicited by changes in gene expression.
Being sessile, plants are constantly exposed to changes in temperature and other abiotic stress factors. The temperature stress experienced by plants can be classified into three types: those occurring at (a) temperature below freezing (b) low temperature above freezing and (c) high temperature. The plants must adapt to them in other ways. The biological substances that are deeply related to these stresses, such as heat shock proteins, glycine betaine as a compatible solute, membrane lipids etc.and also detoxifiers of active oxygen species, contribute to temperature stress tolerance in plants. Rapid advances in Molecular Genetic approaches have enabled genes to be cloned, both from prokaryotes and directly from plants themselves, that are thought to provide the key to the mechanism of temperature adaptation (Iba et al., 2002).
The accumulation of heat shock proteins under the control of heat stress transcription factors is assumed to play a central role in the heat stress response and in acquired thermotolerance in plants (Kotak et al., 2007). The pattern of protein synthesis during cold acclimation is very dissimilar to the heat shock proteins in many ways. Different low temperature stress proteins, such as Anti-freeze proteins or thermal hysteresis proteins (THPs) and cold shock domain proteins etc. are accumulated in plant cell and are frequently correlated with enhanced cold tolerance ( Guy, 1999).
The heat stress-induced dehydrin proteins (DHNs) expression and their relationship with the water relations of sugarcane (Saccharum officinarum L.) leaves were studied to investigate the adaptation to heat stress in plants (Wahid and Close, 2007). In order to get an in vitro evidence of Hsc70 functioning as a molecular chaperone during cold stress, a cold-inducible spinach cytosolic Hsc70 was subcloned into a protein expression vector and the recombinant protein was expressed in bacterial cells. Results suggest that the molecular chaperone Hsc70 may have a functional role in plants during low temperature stress (Zhang and Guy, 2006). To analyze the least and most strongly interacting stress with Hsps and Hsfs, a transcriptional profiling of Arabidopsis Hsps and Hsfs has been done (Swindell et al., 2007).
As plants receive complex of stress factors together, therefore in future research, emphasis should be placed on such cases where tolerance is attempted to different stress factors simultaneously by employing sophisticated techniques.
Identification and expression analysis of LEA gene family members in cucumber...asdasdas19
LEA (late embryogenesis abundant) proteins
are firstly discovered in seeds and then identified in vegetative tissues of different plant species. They are mainly
regulated under abiotic stress conditions. Although genome
wide studies of different gene family members have been
performed in cucumber, there is no such a study for LEA
genes. We have identified 79 LEA genes in the cucumber
genome. Based on phylogenetic analysis, CsLEA genes
could be classified into seven groups in which structural
motifs are relatively conserved. Tandem duplications play
an important role in cucumber genome for LEA gene
expansion. Orthologous and chromosomal relationships of
CsLEA genes were observed based on comparative mapping analysis with other species. The in silico micro-RNA
(miRNA) target analyses indicated that 37 CsLEA genes
were targeted by different miRNAs, especially mir854 and
mir414 are the most abundant identified ones. Public
available RNA-seq data were analyzed for expression
analysis of CsLEA genes in different tissues of cucumber
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
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Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
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The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
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Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
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11.evaluation of the coexpressed gene network of dreb0002www.iiste.org call for paper_a
1. Advances in Life Science and Technology www.iiste.org
ISSN 2224-7181 (Paper) ISSN 2225-062X (Online)
Vol 3, 2012
Evaluation of the coexpressed gene network of DREB2A
Santosh Kumar Mehar*
Department of Botany, College of Sciences, Sri Venkateswara University, Tirupati, Andhra Pradesh, India
*Corresponding author email: santoshkumar.1@rediffmail.com
Abstract
Different proteins in the cell perform their function in a unified way, interacting with the other proteins involved
in completion of the particular metabolic pathway. The information about a single protein estimated from an
organism subjected to a particular treatment will reveal only part of the process. To understand the process
completely it is very essential to have an assessment of the different proteins linked together in different
pathways and also the level of expression of different genes under different conditions. The coexpressed genes
reveal the part of the genome which is intricately involved in carrying the process being studied.
The network of coexpressed genes with DREB2A was analyzed. DREB2A is involved in different processes
related to drought and salt stress. Out of the genes coexpressed with it, At1g16030 is Hsp70b/ Heat Shock
Protein 70B, and is reported to be involved in virus attack and in protective processes under heat stress.
Similarly At2g26150 was also observed to be closely networked with DREB2A, and is a member of heat stress
transcription factor. The information from the coexpressed network of DREB2A shows that the interacting
proteins play important role in protection of plants from pathogen attack and also in protecting the protein
repertoire of the plant from denaturation when it is subjected to salt and heat stress.
Keywords: DREB2A, Heat shock protein, transcription factor, coexpressed genes
1. Introduction
DNA microarray analysis produces information on relative expression levels for thousands of genes
simultaneously. Microarray data contain information about concerted changes in transcript levels in these
datasets beyond the original purpose of each dataset. Such microarray data have been collected in several
general repositories like ArrayExpress (Parkinson et al., 2005), Gene Expression Omnibus (GEO) (Barrett et al.,
2005) and the Center for Information Biology Gene Expression Database (CIBEX) (Ikeo et al., 2003). The
Arabidopsis Information Resource (TAIR) (Rhee et al., 2003) and the Nottingham Arabidopsis Stock Centre
Arrays (NASC Arrays) (Craigon et al., 2004) are species-specific repositories for microarray data. From these
information resources it is possible to collect information about individual genes or samples. However,
knowledge about the expression of genes at the individual scale tells only part of the story, finding interaction
partners for the particular gene can reveal its function in greater detail. The importance of such information can
be best judged by the report (Venkatesan et al., 2009), suggesting that at any time a human cell may contain
about 130,000 binary interactions between proteins. So far, a mere 33,943 unique human protein–protein
interactions have been listed (http://thebiogrid.org).
Realizing the importance of such information, several databases have been created as secondary database for
microarray data. The comprehensive systems-biology database (CSB.DB) (Steinhauser et al., 2004), Botany
Array Resource (BAR) (Toufighi et al., 2005), Arabidopsis Co-expression Tool (ACT) (Manfield et al., 2006)
and Genevestigator (Zimmermann et al., 2005), provide co-expressed gene relationships calculated from the
array data stored in TAIR and/or the NASC Arrays. Such gene relationship information is valuable for predicting
gene function, because co-expressed genes are often involved in the same or related pathways. ATTED-II is a
valuable addition to this list. It stands for A.thaliana trans-factor and cis-element prediction database (ATTED-II)
for retrieving gene-to-gene relationships like other databases for co-expressed genes. Besides the valuable
attributes of the earlier listed databases, ATTED-II has some advancements like visualization of network of co-
expressed gene relationships, facilitating understanding of the structural basis of gene co-expression, pre
calculated results for cis- element prediction linked to every gene and functional category and graphical
representation of the gene expression patterns.
Present study utilizes the resources available at ATTED-II, to understand the molecular interaction and
coexpressed genes with DREB2A (Dehydration-Responsive Element Binding Protein2A) coded by At5g05410.
Transcription factor DREB2A interacts with a cis-acting dehydration-responsive element (DRE) sequence to
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2. Advances in Life Science and Technology www.iiste.org
ISSN 2224-7181 (Paper) ISSN 2225-062X (Online)
Vol 3, 2012
activate the expression of downstream genes that are involved in drought- and salt-stress response in
Arabidopsis thaliana. In its intact form DREB2A expression does not activate downstream genes under normal
growth conditions. However, a negative regulatory domain that exists in the central region of DREB2A, when
deleted transforms DREB2A to a constitutive active form (DREB2A CA). Overexpression of DREB2A CA
induces not only drought- and salt-responsive genes but also heat-shock (HS)-related genes. Besides the
transient induction of the DREB2A occurs rapidly by HS stress, and the sGFP-DREB2A protein accumulates in
nuclei of HS-stressed cells (Sakuma et al., 2006).
2. Methodology
ATTED-II database (Obayashi et al., 2009) was used to retrieve the significant inforamation about the gene
interactions and coregulated gene network of DREB2A. The detailed information and graphical details were
obtained from ATTED-II and the other online databases such as TAIR (The Arabidopsis Information Resource,
Lamesch et al., 2011) and KEGG (Kyoto Encyclopedia of Genes and Genomes, Kanehisa et al., 2011).
3. Results and discussion
DREB2A has extensive gene interaction network (Fig.1). The list of top 50 coexpressed gees is given in table1.
Some of them like At5g10695, At3g27880, At5g03210 (Table 1), do not have estabished proven annotations.
However, the other genes coexpressed with it have diverse and important roles during the development of the
plant and/or response to certain kind of stresses. The important functions of some of them are given below;
At1g01720 belongs to a large family of putative transcriptional activators with NAC domain. Their transcript
levels increases in response to wounding and abscisic acid. ATAF1 attentuates ABA signaling and sythesis
(Collinge and Boller, 2001), and is one of the directly connected gene on the network.
At1g71000 is involved in protein folding and its identified locations are cytoplasm and nucleus. It is expressed
in different plant organs like carpel, flower, pedicel, plant sperm cell, pollen, root and stamen (Schmid et al.,
2005, Inzé et al., 2011).
At4g15420 is Ubiquitin fusion degradation UFD1 family protein. It has peptidase activity and also involved in
proteolysis, ubiquitin-dependent protein catabolic process and zinc ion binding (Schmid et al., 2005, and
InterPro to GO annotation (AnalysisReference:501739686).
At4g12410 is involved in response to auxin stimulus and is expressed in carpel, collective leaf structure, flower,
pedicel, petal, plant embryo, pollen, sepal, stamen (Schmid et al., 2005).
At1g16030 is Hsp70b/ HEAT SHOCK PROTEIN 70B. It is involved in processes related to response to virus
attack and heat stress (Sung et al., 2001, Aparicio et al., 2005).
At2g26150 is also directly connected on the network with DREB2A. It is member of Heat Stress Transcription
Factor (Hsf) family. It is involved in response to misfolded protein accumulation in the cytosol. It is regulated
by alternative splicing and non-sense-mediated decay. It is involved in regulatoin of transcription and its
annotated location is endomembrane system and nucleus (Riechmann et al., 2000, Sugio et al., 2009, Banti et al.,
2010).
Predicted cis elements for At5g05410 and the sequence information are given in fig. 2 and table 2 respectively.
The correlation of expression between At5g05410 and the four directly connected genes on the coexpression
network during different development stages is diplayed in fig. 3 and detailed in table 3, As it is clear from the
figure that the epression profiles of these grouped genes fluctuates with the stage of development and under
specific conditions to which the plant is subjected. They can have all variations in correlations ranging from
strong negative to strong positive.
The study of the interaction between the different genes in an organism is an evolving science and its utility is
undisputed. The knowledge about the groups of genes which are always expressed together give an indication of
the response of the organism to the specific conditions. As it has been seen in case of DREB2A, it is strongly
coexpressed with genes involved in responses to various kinds of stresses and has protective roles to play such
as the expression of HSPs which assist the denaturing proteins during heat stress in folding and also play the
role. Since each of the coexpressed genes has its own coexpressed gene network, this network involves from
hundreds to thousands of genes together. Any disturbance in the expression of genes forming the network shifts
the balance in favour to the network portion which will be most useful under the new condition emerging from
the disturbance from the previous condition to help the plant (or any other organism) in maintaining the
equilibrium.
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3. Advances in Life Science and Technology www.iiste.org
ISSN 2224-7181 (Paper) ISSN 2225-062X (Online)
Vol 3, 2012
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Vol 3, 2012
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de Smet, A.S., Dann, E., Smolyar, A., Vinayagam, A., Yu, H., Szeto, D., Borick, H., Dricot, A., Klitgord, N.,
Murray, R.R., Lin, C., Lalowski, M., Timm, J., Rau, K., Boone, C., Braun, P., Cusick, M.E., Roth, F.P., Hill,
D.E., Tavernier, J., Wanker, E.E., Barabási, A.L. & Vidal, M. (2009). An empirical framework for binary
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Fig.1. Coexpressed gene network around At5g05410
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ISSN 2224-7181 (Paper) ISSN 2225-062X (Online)
Vol 3, 2012
Fig. 2. Predicted cis elements for At5g05410 (those with high CEG are filled black)
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7. Advances in Life Science and Technology www.iiste.org
ISSN 2224-7181 (Paper) ISSN 2225-062X (Online)
Vol 3, 2012
Table 2. Cis element with high CEG (correlation between expression and a defined group
of genes) value
Position Cis element CEG
25 ATAAATA 0.08
26 TATAAAT 0.10
27 CTATAAA 0.09
87 GACACGT 0.08
Table 3. Genes directly connected with At5g05410 on the network
Mutual Rank Correlation Locus Function
1.4 0.69 At5g10695 unknown protein
4.5 0.67 At1g01720 ATAF1; transcription activator/ transcription factor
8.5 0.69 At2g26150 ATHSFA2; DNA binding / transcription factor
9.6 0.49 At3g27880 unknown protein
25
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