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Objective: Seed germination is an important process that determines the beginning of the seed plant life cycle. However, the mechanism underlying seed germination in barley remains unclear. To understand the molecular mechanism of seed germination in barley, WGCNA analysis was used to detect the hub and responsive genes and to reveal the expression of the genes on seed germination. WGCNA is a valuable tool for studying the correlation between genes, identifying modules with high correlation, and identifying Hub genes in different modules. Materials and methods: Raw microarray data related to the germination stage were obtained from the GEO microarray database for 0h, 3h, 9h, 18h, 33h, and 71h after the germination stage. Then, weighted gene coexpression network analysis (WGCNA) was utilized for the detection of co-expressed network genes. In the present study, a barley cultivar, Mahtab, was utilized to show expression patterns after 9h, 18h, and 71h after the germination stage. A total number of 4137 differentially expressed genes (DEG) were identified, with some genes showing higher expression in Mahtab and three genes verified by qRT-PCR. Results: Most of these DEGs were involved in metabolic processes, cellular processes, glycolysis, and response to a stimulus. Hub gene in MEbrown was alpha/beta-Hydrolases superfamily protein, MEpurple was U-box domain-containing protein 4, and MEdarkgrey was B3 domain-containing transcription factor ABI3 which were positively correlated with germinated seeds. The results showed a microarray database and candidate genes for further study of barley at germination stages. In addition, DEGs were divided into three modules by WGCNA. In this study, gene modules associated with seed germination during barley seed germination were identified. Transcription factor and alpha/beta-hydrolase played an important role at the germination stage. Also, gene modules and hub genes at 9h, 18h, and 71h after germination were detected. As there is a lack of information on the seed germination requirements of barley, this research was conducted to study seed germination mechanisms as well as evaluation of hub genes to study molecular mechanism of seed germination in barley. Conclusions: The results of the present study provide new insights into the molecular mechanism underlying barley seed germination. Based on the network analysis, transcription factors (TFs) and ubiquitin proteins were involved in germination. Most of the genes related to each module were related to proteins involved in carbohydrate metabolism, glycolysis, and protein degradation. Our gene expression results can serve as molecular markers in barley cultivars during seed germination. These findings can be suitable for molecular-assisted selection and breeding of fast-germinating barley genotypes. [ABSTRACT FROM AUTHOR]

Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data.Eukaryotic translation initiation factors (eIFs) are one of the most important components in protein synthesis in plants. Most of eIFs genes are involved in growth processes like embryogenesis, flowering, and different stresses. In the present study, an in silico analysis of 17 rice eIFs genes was conducted in response to environmental stresses. Analysis of bioinformatics performed included gene network, chromosomal map, transcriptional factor binding sites (TFBs) analysis, and phylogenetic relationships among the eIF genes in rice. The transcription of a gene is mainly regulated by TFBs that are specifically bound by regulatory proteins called transcription factors (TFs). Analysis of bioinformatics databases was performed to identify TFBs in eIFs genes using Plant Promoter Analysis (PlantPAN). The analysis of network gene revealed that eIFs and transcription factors organized the major gene networks and are mainly expressed in nucleus, cytoplasm, mitochondria, and chloroplast. Co-expression analysis has shown that interacting proteins tend to have similar expression profiles and tend to be localized to the same or adjacent compartment. Several TFBs including AP2/ERF, WRKY, bZIP, bHLH, GATA, and NAC/NAM were identified in our analysis. We found a positive correlation between eIFs promoter regions of genes and presence of TFBs. This paper is the first report on in silico analysis of eIFs genes in O. sativa. In this paper, we will focus on analysis of initiation factors and their expressions under environmental stresses and different developmental stages using microarray data. [ABSTRACT FROM AUTHOR]