An organic molecular compound for in-situ identification of mitochondrial G-quadruplexes in live cells

Emerging studies have shown that mitochondrial G-quadruplex plays a critical role in regulating mitochondrial gene replication and transcription, which makes it a promising target for the diagnosis and treatment of...

Edge cloud task scheduling model based on layered excellent gene replication strategy

With the development of the Internet of Things and 5G. Edge cloud technology has gradually become a research hotspot. When facing the massive and concurrent tasks of terminal users, reasonable resource scheduling strategy is a key technology. Because edge cloud needs to respond quickly to real-time tasks and ensure the stability of nodes at the same time, the optimal task scheduling strategy needs to be selected to meet the low latency requirements of edge users. In view of the above problems in resource allocation of edge cloud, this paper established a layered excellent gene replication strategy (HEGPSO model), in which the optimal replicator is added, and an evolutionary particle swarm optimization algorithm is proposed. In each iteration, the population is divided into three layers based on individual fitness. After that, the optimal replication factor is added to each layer of individuals to enhance the global search ability of the algorithm and ensure the good convergence of the algorithm. Finally, a balanced resource allocation model is established. Experiments show that the HEGPSO model proposed in this paper has high fitness and fast convergence speed, and is suitable for large-scale task access scenarios.

Identification of C3H2C3-type RING E3 ubiquitin ligase in grapevine and characterization of drought resistance function of VyRCHC114

Background RING is one of the largest E3 ubiquitin ligase families and C3H2C3 type is the largest subfamily of RING, which plays an important role in plant growth and development, and growth and responses to biotic and abiotic stresses. Results A total of 143 RING C3H2C3-type genes (RCHCs) were discovered from the grapevine genome and separated into groups (I-XI) according to their phylogenetic analysis, and these genes named according to their positions on chromosomes. Gene replication analysis showed that tandem duplications play a predominant role in the expansion of VvRCHCs family together. Structural analysis showed that most VvRCHCs (67.13 %) had no more than 2 introns, while genes clustered together based on phylogenetic trees had similar motifs and evolutionarily conserved structures. Cis-acting element analysis showed the diversity of VvRCHCs regulation. The expression profiles of eight DEGs in RNA-Seq after drought stress were like the results of qRT-PCR analysis. In vitro ubiquitin experiment showed that VyRCHC114 had E3 ubiquitin ligase activity, overexpression of VyRCHC114 in Arabidopsis improved drought tolerance. Moreover, the transgenic plant survival rate increased by 30 %, accompanied by electrolyte leakage, chlorophyll content and the activities of SOD, POD, APX and CAT were changed. The quantitative expression of AtCOR15a, AtRD29A, AtERD15 and AtP5CS1 showed that they participated in the response to drought stress may be regulated by the expression of VyRCHC114. Conclusions This study provides valuable new information for the evolution of grapevine RCHCs and its relevance for studying the functional characteristics of grapevine VyRCHC114 genes under drought stress.

Genome-wide identification of PTI1 family in Setaria italica and salinity-responsive functional analysis of SiPTI1–5

Background PTI1 (Pto-interacting 1) protein kinase belongs to the receptor-like cytoplasmic kinase (RLCK) group of receptor-like protein kinases (RLK), but lack extracellular and transmembrane domains. PTI1 was first identified in tomato (Solanum lycopersicum) and named SlPTI1, which has been reported to interact with bacterial effector Pto, a serine/threonine protein kinase involved in plant resistance to bacterial disease. Briefly, the host PTI1 specifically recognizes and interacts with the bacterial effector AvrPto, which triggers hypersensitive cell death to inhibit the pathogen growth in the local infection site. Previous studies have demonstrated that PTI1 is associated with oxidative stress and hypersensitivity. Results We identified 12 putative PTI1 genes from the genome of foxtail millet (Setaria italica) in this study. Gene replication analysis indicated that both segmental replication events played an important role in the expansion of PTI1 gene family in foxtail millet. The PTI1 family members of model plants, i.e. S. italica, Arabidopsis (Arabidopsis thaliana), rice (Oryza sativa), maize (Zea mays), S. lycopersicum, and soybean (Glycine max), were classified into six major categories according to the phylogenetic analysis, among which the PTI1 family members in foxtail millet showed higher degree of homology with those of rice and maize. The analysis of a complete set of SiPTI1 genes/proteins including classification, chromosomal location, orthologous relationships and duplication. The tissue expression characteristics revealed that SiPTI1 genes are mainly expressed in stems and leaves. Experimental qRT-PCR results demonstrated that 12 SiPTI1 genes were induced by multiple stresses. Subcellular localization visualized that all of foxtail millet SiPTI1s were localized to the plasma membrane. Additionally, heterologous expression of SiPTI1–5 in yeast and E. coli enhanced their tolerance to salt stress. Conclusions Our results contribute to a more comprehensive understanding of the roles of PTI1 protein kinases and will be useful in prioritizing particular PTI1 for future functional validation studies in foxtail millet.

i4mC-EL: Identifying DNA N4-Methylcytosine Sites in the Mouse Genome Using Ensemble Learning

As one of important epigenetic modifications, DNA N4-methylcytosine (4mC) plays a crucial role in controlling gene replication, expression, cell cycle, DNA replication, and differentiation. The accurate identification of 4mC sites is necessary to understand biological functions. In the paper, we use ensemble learning to develop a model named i4mC-EL to identify 4mC sites in the mouse genome. Firstly, a multifeature encoding scheme consisting of Kmer and EIIP was adopted to describe the DNA sequences. Secondly, on the basis of the multifeature encoding scheme, we developed a stacked ensemble model, in which four machine learning algorithms, namely, BayesNet, NaiveBayes, LibSVM, and Voted Perceptron, were utilized to implement an ensemble of base classifiers that produce intermediate results as input of the metaclassifier, Logistic. The experimental results on the independent test dataset demonstrate that the overall rate of predictive accurate of i4mC-EL is 82.19%, which is better than the existing methods. The user-friendly website implementing i4mC-EL can be accessed freely at the following.

Genome-wide Survey of the GATA Gene Family in Camptothecin-producing Plant Ophiorrhiza Pumila

Background: Ophiorrhiza pumila (Rubiaceae) is capable of producing camptothecin (CPT), one monoterpene indole alkaloid extensively employed in the treatment of multiple cancers. Transcription factors (TF) GATA are a group of transcription regulators involved in plant development and metabolism, and show the feature of binding to the GATA motif within the promoters of target genes. However, GATA TFs have not been characterized in O. pumila. Result: In this study, a total of 18 GATA genes classified into four subfamilies were identified, which randomly distributed on 11 chromosomes of O. pumila. Gene replication and homology between O. pumila and other plant species such as Arabidopsis thaliana, Oryza sativa, Glycine max, Solanum lycopersicum, and Vitis vinifera genomes were analyzed. Tissue expression pattern revealed that OpGATA7, OpGATA12 and OpGATA13 with higher transcript in leaves, which was correlated with ASA, MK, DXS, CMS, and MECS. OpGATA7, OpGATA14 and OpGATA15 showed high expression in roots as most of the CPT biosynthetic pathway genes did, suggesting that these OpGATAs may be potential candidates regulating CPT biosynthesis in O. pumila.Conclusions: Genome-wide survey of the GATA gene family from Ophiorrhiza pumila provided insights into the involvement of GATA transcription factors in CPT biosynthesis

Nonlinear sociodynamics of competitive sociotypes of molecular and cosmic human

As one of the most important factors determining the nature of the dynamic behavior of a social system, the article considers the competitive relationship of two alternative sociotypes, conventionally designated as molecular human and cosmic human. The molecular sociotype is understood as the personality of the average consumer, whose behavioral determinants are largely determined by the selfish gene. The cosmic human is a person who has realized the dependence on the selfish gene. Representatives of the cosmic sociotype consider the products of their own mind, their contribution to culture, as a more significant function than gene replication. This explains the different values ​​of the coefficients of reproduction of the total resource of the system by molecular human and cosmic human. Three possible scenarios for the evolution of a social system have been identified for different values ​​of the coefficients of reproduction of the total resource of the system by both sociotypes with a constant share of the population. In this case, the aggregate resource is understood as the entire intellectual, cultural and economic product produced by the social system during a certain conditional cycle of reproduction. The dynamics of a social system with a variable value of the share of a productive comic sociotype is considered in the work on the basis of a nonlinear two-dimensional model. The mathematical model demonstrates complex nonlinear quasicyclic behavior.

Stochastic Analysis Demonstrates the Dual Role of Hfq in Chaperoning E. coli Sugar Shock Response

Small RNAs (sRNAs) play a crucial role in the regulation of bacterial gene expression by silencing the translation of target mRNAs. SgrS is an sRNA that relieves glucose-phosphate stress, or “sugar shock” in E. coli. The power of single cell measurements is their ability to obtain population level statistics that illustrate cell-to-cell variation. Here, we utilize single molecule super-resolution microscopy in single E. coli cells coupled with stochastic modeling to analyze glucose-phosphate stress regulation by SgrS. We present a kinetic model that captures the combined effects of transcriptional regulation, gene replication and chaperone mediated RNA silencing in the SgrS regulatory network. This more complete kinetic description, simulated stochastically, recapitulates experimentally observed cellular heterogeneity and characterizes the binding of SgrS to the chaperone protein Hfq as a slow process that not only stabilizes SgrS but also may be critical in restructuring the sRNA to facilitate association with its target ptsG mRNA.

Impedance Matching and the Choice Between Alternative Pathways for the Origin of Genetic Coding

We recently observed that errors in gene replication and translation could be seen qualitatively to behave analogously to the impedances in acoustical and electronic energy transducing systems. We develop here quantitative relationships necessary to confirm that analogy and to place it into the context of the minimization of dissipative losses of both chemical free energy and information. The formal developments include expressions for the information transferred from a template to a new polymer, Iσ; an impedance parameter, Z; and an effective alphabet size, neff; all of which have non-linear dependences on the fidelity parameter, q, and the alphabet size, n. Surfaces of these functions over the {n,q} plane reveal key new insights into the origin of coding. Our conclusion is that the emergence and evolutionary refinement of information transfer in biology follow principles previously identified to govern physical energy flows, strengthening analogies (i) between chemical self-organization and biological natural selection, and (ii) between the course of evolutionary trajectories and the most probable pathways for time-dependent transitions in physics. Matching the informational impedance of translation to the four-letter alphabet of genes uncovers a pivotal role for the redundancy of triplet codons in preserving as much intrinsic genetic information as possible, especially in early stages when the coding alphabet size was small.