scholarly journals Genome-Wide Identification and Comparative Analysis for OPT Family Genes in Panax ginseng and Eleven Flowering Plants

Molecules ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 15 ◽  
Author(s):  
He Su ◽  
Yang Chu ◽  
Junqi Bai ◽  
Lu Gong ◽  
Juan Huang ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Panax Ginseng ◽  
Expression Patterns ◽  
Flowering Plants ◽  
Functional Development ◽  
Wide Range ◽  
Organ Specific ◽  
Genome Level ◽  
Negative Links ◽  
Global Platform

Herb genomics and comparative genomics provide a global platform to explore the genetics and biology of herbs at the genome level. Panax ginseng C.A. Meyer is an important medicinal plant for a variety of bioactive chemical compounds of which the biosynthesis may involve transport of a wide range of substrates mediated by oligopeptide transporters (OPT). However, information about the OPT family in the plant kingdom is still limited. Only 17 and 18 OPT genes have been characterized for Oryza sativa and Arabidopsis thaliana, respectively. Additionally, few comprehensive studies incorporating the phylogeny, gene structure, paralogs evolution, expression profiling, and co-expression network between transcription factors and OPT genes have been reported for ginseng and other species. In the present study, we performed those analyses comprehensively with both online tools and standalone tools. As a result, we identified a total of 268 non-redundant OPT genes from 12 flowering plants of which 37 were from ginseng. These OPT genes were clustered into two distinct clades in which clade-specific motif compositions were considerably conservative. The distribution of OPT paralogs was indicative of segmental duplication and subsequent structural variation. Expression patterns based on two sources of RNA-Sequence datasets suggested that some OPT genes were expressed in both an organ-specific and tissue-specific manner and might be involved in the functional development of plants. Further co-expression analysis of OPT genes and transcription factors indicated 141 positive and 11 negative links, which shows potent regulators for OPT genes. Overall, the data obtained from our study contribute to a better understanding of the complexity of the OPT gene family in ginseng and other flowering plants. This genetic resource will help improve the interpretation on mechanisms of metabolism transportation and signal transduction during plant development for Panax ginseng.

scholarly journals Genome-wide sequence and expression analysis of the NAC transcription factor family in polyploid wheat

2017 ◽  
Author(s):  
Philippa Borrill ◽  
Sophie A. Harrington ◽  
Cristobal Uauy
Keyword(s):  
Transcription Factors ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Families ◽  
Rna Seq ◽  
Phylogenetic Groups ◽  
Future Studies ◽  
Nac Transcription Factors ◽  
Wide Range ◽  
Nac Family

ARTICLE SUMMARYTranscription factors are vital in plants to regulate gene expression in response to environmental stimuli and to control developmental processes. In this study, we annotated and classified transcription factors in polyploid bread wheat into gene families and explored the NAC family in detail. We combined phylogenetic analysis and transcriptome analysis, using publicly available RNA-seq data, to characterize the NAC gene family and provide hypotheses for putative functions of many NAC transcription factors. This study lays the groundwork for future studies on transcription factors in wheat which may be of great agronomic relevance.ABSTRACTMany important genes in agriculture correspond to transcription factors which regulate a wide range of pathways from flowering to responses to disease and abiotic stresses. In this study, we identified 5,776 transcription factors in hexaploid wheat (Triticum aestivum) and classified them into gene families. We further investigated the NAC family exploring the phylogeny, C-terminal domain conservation and expression profiles across 308 RNA-seq samples. Phylogenetic trees of NAC domains indicated that wheat NACs divided into eight groups similar to rice (Oryza sativa) and barley (Hordeum vulgare). C-terminal domain motifs were frequently conserved between wheat, rice and barley within phylogenetic groups, however this conservation was not maintained across phylogenetic groups. We explored gene expression patterns across a wide range of developmental stages, tissues, and abiotic stresses. We found that more phylogenetically related NACs shared more similar expression patterns compared to more distant NACs. However, within each phylogenetic group there were clades with diverse expression profiles. We carried out a co-expression analysis on all wheat genes and identified 37 modules of co-expressed genes of which 23 contained NACs. Using GO term enrichment we obtained putative functions for NACs within co-expressed modules including responses to heat and abiotic stress and responses to water: these NACs may represent targets for breeding or biotechnological applications. This study provides a framework and data for hypothesis generation for future studies on NAC transcription factors in wheat.

scholarly journals Genome-wide characterization and analysis of WRKY transcription factors in Panax ginseng

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Peng Di ◽  
Ping Wang ◽  
Min Yan ◽  
Peng Han ◽  
Xinyi Huang ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Panax Ginseng ◽  
Expression Patterns ◽  
Cold Treatment ◽  
Regulatory Elements ◽  
Gene Promoters ◽  
Wrky Transcription Factors ◽  
Drought Treatment ◽  
Ginsenoside Biosynthesis ◽  
Genome Wide

Abstract Background Panax ginseng is a well-known medicinal plant worldwide. As an herbal medicine, ginseng is also known for its long lifecycle, which can reach several decades. WRKY proteins play regulatory roles in many aspects of biological processes in plants, such as responses to biotic or abiotic stress, plant development, and adaptation to environmental challenges. Genome-wide analyses of WRKY genes in P. ginseng have not been reported. Results In this study, 137 PgWRKY genes were identified from the ginseng genome. Phylogenetic analysis showed that the PgWRKYs could be clustered into three primary groups and five subgroups. Most of the PgWRKY gene promoters contained several kinds of hormone- and stress-related cis-regulatory elements. The expression patterns of PgWRKY genes in 14 different tissues were analyzed based on the available public RNA-seq data. The responses of the PgWRKY genes to heat, cold, salt and drought treatment were also investigated. Most of the PgWRKY genes were expressed differently after heat treatment, and expression trends changed significantly under drought and cold treatment but only slightly under salt treatment. The coexpression analysis of PgWRKY genes with the ginsenoside biosynthesis pathway genes identified 11 PgWRKYs that may have a potential regulatory role in the biosynthesis process of ginsenoside. Conclusions This work provides insights into the evolution, modulation and distribution of the WRKY gene family in ginseng and extends our knowledge of the molecular basis along with modulatory mechanisms of WRKY transcription factors in ginsenoside biosynthesis.

scholarly journals Transcriptome Analysis of Sugarcane in Response to Colletotrichum Falcatum Infection Reveals Repertoire of Transcription Factors and Host Targets

2021 ◽  
Author(s):  
C. Naveen Prasanth ◽  
Viswanathan Rasappa ◽  
P. Malathi ◽  
A.R. Sundar
Keyword(s):  
Transcription Factors ◽  
Transcriptome Analysis ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Complete Analysis ◽  
Colletotrichum Falcatum ◽  
Data Set ◽  
Challenge Inoculation ◽  
Wide Range ◽  
Pcr Assays

Abstract Background - Sugarcane (Saccharum spp hybrid), an important C4 perennial plantation crop, globally grown for white sugar and ethanol production. Red rot caused by Colletotrichum falcatum is one of the most important threats affecting sugarcane productivity in many countries including India.Materials and Methods - Comprehensive understanding is very much needed to define their transcription level differences and their key regulatory genes during interaction of sugarcane with C. falcatum. To compute and evaluate the molecular mechanism in sugarcane, transcriptome analysis of sugarcane challenged with C. falcatum was sequenced using Hi-Seq 2500 and gene expression profiles were generated by qRT-PCR assays in both compatible and incompatible interactions after challenge inoculation of C. falcatum in sugarcane.Results - A total of 15,728,914 reads were aligned to 48,935 unigenes using BOWTIE 2; the unigenes were annotated using BLASTX and found that 39,895 unigenes were annotated and 22,025 were unigenes with respect to host species, 8,830 with respect to Colletotrichum spp and 9,040 were found to be novel genes. A total of 243 transcription factors (TFs) were found to be predicted in sugarcane challenged with C. falcatum and those TFs were divided into 45 specific families. WRKY, MYB, NAC, bHLH and AUX/IAA transcription factors were found to be abundant which are considered to be key regulators in controlling wide range of molecular events such as defense response, oxidative stimuli, host signalling and triggering disease resistance. In addition, a lot of stress related genes and genes involved in gene ontological and KEGG pathway were significantly affected due to C. falcatum infection. Quantative real time PCR assays carried out to validate reliability of observed expression patterns in sugarcane in response to C. falcatum infection illustrates first transcriptome wide in planta identification and analysis of TF repertoire in the host pathogen interaction.Conclusion - The results of this study provide a benchmark discovery in finding host targets and provide tissue specific data set of genes that express in response to C. falcatum in sugarcane and also a complete analysis of main group of genes that significantly enriched under this condition. This is the first comprehensive work provides basis for the further studies to dissect role of TFs at molecular level in sugarcane defense to fungal pathogens.

scholarly journals Expression patterns of signalling molecules and transcription factors in the early rabbit embryo and their significance for modelling amniote axis formation

2021 ◽  
Author(s):  
Ruben Plöger ◽  
Christoph Viebahn
Keyword(s):  
Transcription Factors ◽  
Expression Patterns ◽  
In Situ Hybridisation ◽  
Body Plan ◽  
The Body ◽  
Anchor Point ◽  
Axis Formation ◽  
Point Model ◽  
Signalling Molecules ◽  
Rabbit Embryo

AbstractThe anterior-posterior axis is a central element of the body plan and, during amniote gastrulation, forms through several transient domains with specific morphogenetic activities. In the chick, experimentally proven activity of signalling molecules and transcription factors lead to the concept of a ‘global positioning system’ for initial axis formation whereas in the (mammotypical) rabbit embryo, a series of morphological or molecular domains are part of a putative ‘three-anchor-point model’. Because circular expression patterns of genes involved in axis formation exist in both amniote groups prior to, and during, gastrulation and may thus be suited to reconcile these models, the expression patterns of selected genes known in the chick, namely the ones coding for the transcription factors eomes and tbx6, the signalling molecule wnt3 and the wnt inhibitor pkdcc, were analysed in the rabbit embryonic disc using in situ hybridisation and placing emphasis on their germ layer location. Peripheral wnt3 and eomes expression in all layers is found initially to be complementary to central pkdcc expression in the hypoblast during early axis formation. Pkdcc then appears — together with a posterior-anterior gradient in wnt3 and eomes domains — in the epiblast posteriorly before the emerging primitive streak is marked by pkdcc and tbx6 at its anterior and posterior extremities, respectively. Conserved circular expression patterns deduced from some of this data may point to shared mechanisms in amniote axis formation while the reshaping of localised gene expression patterns is discussed as part of the ‘three-anchor-point model’ for establishing the mammalian body plan.

scholarly journals Clustering Single-Cell RNA-Seq Data with Regularized Gaussian Graphical Model

Genes ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 311
Author(s):  
Zhenqiu Liu
Keyword(s):  
Single Cell ◽  
Free Parameter ◽  
Graphical Model ◽  
Expression Patterns ◽  
Information Criterion ◽  
Log P ◽  
Rna Seq ◽  
Clustering Methods ◽  
Wide Range ◽  
Free Parameters

Single-cell RNA-seq (scRNA-seq) is a powerful tool to measure the expression patterns of individual cells and discover heterogeneity and functional diversity among cell populations. Due to variability, it is challenging to analyze such data efficiently. Many clustering methods have been developed using at least one free parameter. Different choices for free parameters may lead to substantially different visualizations and clusters. Tuning free parameters is also time consuming. Thus there is need for a simple, robust, and efficient clustering method. In this paper, we propose a new regularized Gaussian graphical clustering (RGGC) method for scRNA-seq data. RGGC is based on high-order (partial) correlations and subspace learning, and is robust over a wide-range of a regularized parameter λ. Therefore, we can simply set λ=2 or λ=log(p) for AIC (Akaike information criterion) or BIC (Bayesian information criterion) without cross-validation. Cell subpopulations are discovered by the Louvain community detection algorithm that determines the number of clusters automatically. There is no free parameter to be tuned with RGGC. When evaluated with simulated and benchmark scRNA-seq data sets against widely used methods, RGGC is computationally efficient and one of the top performers. It can detect inter-sample cell heterogeneity, when applied to glioblastoma scRNA-seq data.

scholarly journals Diversity of Pod Shape in Pisum

Diversity ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 203
Author(s):  
Thomas Henry Noel Ellis ◽  
Julie M. I. Hofer ◽  
Eleni Vikeli ◽  
Michael J. Ambrose ◽  
Paola Higuera-Poveda ◽  
...  
Keyword(s):  
Allelic Variation ◽  
Size Variation ◽  
Width Ratio ◽  
Negative Regulators ◽  
Wide Range ◽  
Yield Determination ◽  
Organ Specific ◽  
Length Width ◽  
End Use ◽  
Pod Length

The seed-containing pod is the defining structure of plants in the legume family, yet pods exhibit a wide range of morphological variation. Within a species pod characters are likely to be correlated with reproductive strategy, and within cultivated forms will correspond to aspects of yield determination and/or end use. Here variation in pod size, described as pod length: pod width ratio, has been analyzed in pea germplasm represented by 597 accessions. This pod size variation is discussed with respect to population structure and to known classical pod morphology mutants. Variability of the pod length: width ratio can be explained by allelic variation at two genetic loci that may correspond to organ-specific negative regulators of growth.

scholarly journals MicroRNA Mediating Networks in Granulosa Cells Associated with Ovarian Follicular Development

2017 ◽  
Vol 2017 ◽  
pp. 1-18 ◽  
Author(s):  
Baoyun Zhang ◽  
Long Chen ◽  
Guangde Feng ◽  
Wei Xiang ◽  
Ke Zhang ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Granulosa Cells ◽  
Messenger Rna ◽  
Expression Patterns ◽  
Follicular Development ◽  
Functional Networks ◽  
Signal Pathways ◽  
Differentially Expressed Mirnas ◽  
Selection Of

Ovaries, which provide a place for follicular development and oocyte maturation, are important organs in female mammals. Follicular development is complicated physiological progress mediated by various regulatory factors including microRNAs (miRNAs). To demonstrate the role of miRNAs in follicular development, this study analyzed the expression patterns of miRNAs in granulosa cells through investigating three previous datasets generated by Illumina miRNA deep sequencing. Furthermore, via bioinformatic analyses, we dissected the associated functional networks of the observed significant miRNAs, in terms of interacting with signal pathways and transcription factors. During the growth and selection of dominant follicles, 15 dysregulated miRNAs and 139 associated pathways were screened out. In comparison of different styles of follicles, 7 commonly abundant miRNAs and 195 pathways, as well as 10 differentially expressed miRNAs and 117 pathways in dominant follicles in comparison with subordinate follicles, were collected. Furthermore, SMAD2 was identified as a hub factor in regulating follicular development. The regulation of miR-26a/b onsmad2messenger RNA has been further testified by real time PCR. In conclusion, we established functional networks which play critical roles in follicular development including pivotal miRNAs, pathways, and transcription factors, which contributed to the further investigation about miRNAs associated with mammalian follicular development.

scholarly journals Verticillium wilt resistant and susceptible olive cultivars express a very different basal set of genes in roots

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Jorge A. Ramírez-Tejero ◽  
Jaime Jiménez-Ruiz ◽  
Alicia Serrano ◽  
Angjelina Belaj ◽  
Lorenzo León ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Pattern ◽  
Growth And Development ◽  
Expression Patterns ◽  
Gene Expression Pattern ◽  
Expression Level ◽  
Resistant Cultivars ◽  
Pathogen Invasion ◽  
Wide Range ◽  
Olive Cultivars

Abstract Background Olive orchards are threatened by a wide range of pathogens. Of these, Verticillium dahliae has been in the spotlight for its high incidence, the difficulty to control it and the few cultivars that has increased tolerance to the pathogen. Disease resistance not only depends on detection of pathogen invasion and induction of responses by the plant, but also on barriers to avoid the invasion and active resistance mechanisms constitutively expressed in the absence of the pathogen. In a previous work we found that two healthy non-infected plants from cultivars that differ in V. dahliae resistance such as ‘Frantoio’ (resistant) and ‘Picual’ (susceptible) had a different root morphology and gene expression pattern. In this work, we have addressed the issue of basal differences in the roots between Resistant and Susceptible cultivars. Results The gene expression pattern of roots from 29 olive cultivars with different degree of resistance/susceptibility to V. dahliae was analyzed by RNA-Seq. However, only the Highly Resistant and Extremely Susceptible cultivars showed significant differences in gene expression among various groups of cultivars. A set of 421 genes showing an inverse differential expression level between the Highly Resistant to Extremely Susceptible cultivars was found and analyzed. The main differences involved higher expression of a series of transcription factors and genes involved in processes of molecules importation to nucleus, plant defense genes and lower expression of root growth and development genes in Highly Resistant cultivars, while a reverse pattern in Moderately Susceptible and more pronounced in Extremely Susceptible cultivars were observed. Conclusion According to the different gene expression patterns, it seems that the roots of the Extremely Susceptible cultivars focus more on growth and development, while some other functions, such as defense against pathogens, have a higher expression level in roots of Highly Resistant cultivars. Therefore, it seems that there are constitutive differences in the roots between Resistant and Susceptible cultivars, and that susceptible roots seem to provide a more suitable environment for the pathogen than the resistant ones.

scholarly journals A Classification of Basic Helix-Loop-Helix Transcription Factors of Soybean

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Karen A. Hudson ◽  
Matthew E. Hudson
Keyword(s):  
Transcription Factors ◽  
Genome Sequence ◽  
Search Algorithm ◽  
Soybean Genome ◽  
Binding Potential ◽  
Future Research ◽  
Basic Helix Loop Helix ◽  
Helix Loop Helix ◽  
Bhlh Genes ◽  
Wide Range

The complete genome sequence of soybean allows an unprecedented opportunity for the discovery of the genes controlling important traits. In particular, the potential functions of regulatory genes are a priority for analysis. The basic helix-loop-helix (bHLH) family of transcription factors is known to be involved in controlling a wide range of systems critical for crop adaptation and quality, including photosynthesis, light signalling, pigment biosynthesis, and seed pod development. Using a hidden Markov model search algorithm, 319 genes with basic helix-loop-helix transcription factor domains were identified within the soybean genome sequence. These were classified with respect to their predicted DNA binding potential, intron/exon structure, and the phylogeny of the bHLH domain. Evidence is presented that the vast majority (281) of these 319 soybean bHLH genes are expressed at the mRNA level. Of these soybean bHLH genes, 67% were found to exist in two or more homeologous copies. This dataset provides a framework for future studies on bHLH gene function in soybean. The challenge for future research remains to define functions for the bHLH factors encoded in the soybean genome, which may allow greater flexibility for genetic selection of growth and environmental adaptation in this widely grown crop.

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