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Genetic map is a linear arrangement of the relative positions of sites in the chromosome or genome based on the recombination frequency between genetic markers. It is the important basis for genetic analysis. Several kinds of software have been designed for genetic mapping, but all these tools require users to write or edit code, making it time-costing and difficult for researchers without programming skills to handle with. Here, MG2C, a new online tool was designed, based on PERL and SVG languages. Users can get a standard genetic map, only by providing the location of genes (or quantitative trait loci) and the length of the chromosome, without writing additional code. The operation interface of MG2C contains three sections: data input, data output and parameters. There are 33 attribute parameters in MG2C, which are further divided into 8 modules. Values of the parameters can be changed according to the users’ requirements. The information submitted by users will be transformed into the genetic map in SVG file, which can be further modified by other image processing tools. MG2C is a user-friendly and time-saving online tool for drawing genetic maps, especially for those without programming skills. The tool has been running smoothly since 2015, and updated to version 2.1. It significantly lowers the technical barriers for the users, and provides great convenience for the researchers.

[This corrects the article DOI: 10.3389/fpls.2025.1516963.].

Transcription factors (TFs) fused to the SRDX (a modified repressor domain at the C-terminal region of Arabidopsis SUPERMAN (SUPRD) with the sequence of LDLDLELRLGFA) motif repression domain at their C terminus, generating a chimeric repressor, could act as a dominant suppressor and overcome problems related to functional redundancy between TFs. Here, we demonstrate that transgenic Arabidopsis containing a chimeric AtERF4-SRDX construct display a variety of changes in plant growth and development, such as short primary roots and root hairs at early developmental stages, an increased number of rosette leaves with decreased leaf area, elongation of leaf petioles and inflorescence stems, prolonged growth period, reduced stem and leaf angle and a modified seed coat mucilage structure. The short primary root and the elongation of petioles and stems were due to reduced and enhanced lengthwise cell expansion respectively, while the redistribution of seed mucilage appeared to be the result of altered pectin methylesterase activity. Expression of AtERF4-SRDX also affected abiotic stress tolerance of transgenic plants, inducing enhanced resistance to drought but reduced tolerance to salinity and heat, which could be linked to abscisic acid signaling. Altogether, our findings provide new insights into the possible functions of AtERF4 in Arabidopsis growth and development, and in mediating plant responses to abiotic stresses.

Glyphosate is a widely used non-selective, broad-spectrum, systemic herbicide by interfering with the biosynthesis of aromatic amino acids. However, the emergence of glyphosate-resistant weeds has driven the need for enhanced herbicide resistance in crops. In this study, we engineered two mutant variants of the tobacco EPSPS gene through amino acid substitution (TIPS-NtEPSPS and P180S-NtEPSPS). These mutated EPSPS genes were overexpressed in tobacco under the control of CaMV35S promoters. Our results demonstrate that overexpression of TIPS-NtEPSPS significantly enhances glyphosate tolerance, allowing plants to withstand up to four times the recommended dose without compromising their fitness. This research highlights the potential of the TIPS-NtEPSPS mutant to improve herbicide resistance in tobacco, offering a viable approach for effective weed management.

The most characteristic feature of membranous nephropathy (MN) is the presence of subepithelial electron dense deposits and the consequential thickening of the glomerular basement membrane. There have been great advances in the understanding of the destiny of immune complexes in MN by the benefit of experimental models represented by Heymann nephritis. Subepithelial immune complexes are formed in situ by autoantibodies targeting native autoantigens or exogenous planted antigens such as the phospholipase A2 receptor (PLA2R) and cationic BSA respectively. The nascent immune complexes would not be pathogenic until they develop into immune deposits. Podocytes are the major source of autoantigens in idiopathic membranous nephropathy. They also participate in the modulation and removal of the immune complexes to a large extent. The balance between deposition and clearance is regulated by a wide range of factors such as the composition and physicochemical properties of the immune complexes and the complement system. Complement components such as C3 and C1q have been reported to be precipitated with the deposits whereas a complement regulatory protein CR1 expressed by podocytes is involved in the phagocytosis of immune complexes by podocytes. Podocytes regulate the dynamic change of immune complexes which is disturbed in membranous nephropathy. To elucidate the precise fate of the immune complexes is essential for developing more rational and novel therapies for membranous nephropathy.

Tobacco bacterial wilt has seriously affected tobacco production. Ethyl methanesulfonate (EMS) induced tobacco bacterial wilt resistant mutants are important for the control of tobacco bacterial wilt. High-throughput sequencing technology was used to study the rhizosphere bacterial community assemblages of bacterial wilt resistant mutant tobacco rhizosphere soil (namely KS), bacterial wilt susceptible tobacco rhizosphere soil (namely GS) and bulk soil (namely BS) in Xuancheng, Huanxi, Yibin and Luzhou. Alpha analysis showed that the bacterial community diversity and richness of KS and GS in the four regions were not significantly different. However, analysis of intergroup variation in the top 15 bacterial communities in terms of abundance showed that the bacterial communities of KS and GS were significantly different from BS, respectively. In addition, pH, alkali-hydrolysable nitrogen (AN) and soil organic carbon (SOC) were positively correlated with the bacterial community of KS and negatively correlated with GS in the other three regions except Huanxi. Network analysis showed that the three soils in the four regions did not show a consistent pattern of network complexity. PICRUSt functional prediction analysis showed that the COG functions were similar in all samples. All colonies were involved in RNA processing and modification, chromatin structure and dynamics, etc. In conclusion, our experiments showed that rhizosphere bacterial communities of tobacco in different regions have different compositional patterns, which are strongly related to soil factors.

Relation extraction (RE) is a fundamental NLP task that aims to identify relations between some entities regarding a given text. RE forms the basis for many advanced NLP tasks, such as question answering and text summarization, and thus its quality is critical to the relevant downstream applications. However, evaluating the quality of RE models is non-trivial. On the one hand, obtaining ground truth labels for individual test inputs is tedious and even difficult. On the other hand, there is an increasing need to understand the characteristics of RE models in terms of various aspects. To mitigate these issues, this study proposes evaluating RE models by applying metamorphic testing (MT). A total of eight metamorphic relations (MRs) are identified based on three categories of transformation operations, namely replacement, swap, and combination. These MRs encode some expected properties of different aspects of RE. We further apply MT to three popular RE models. Our experiments reveal a large number of prediction failures in the subject RE models, confirming that MT is effective for evaluating RE models. Further analysis of the experimental results reveals the advantages and disadvantages of our subject models and also uncovers some typical issues of RE models.

Main conclusion The functional homologs WS1A and WS1B , identified by map-based cloning, control the burley character by affecting chloroplast development in tobacco, contributing to gene isolation and genetic improvement in polyploid crops. Burley represents a special type of tobacco ( Nicotiana tabacum L.) cultivar that is characterized by a white stem with a high degree of chlorophyll deficiency. Although important progress in the research of burley tobacco has been made, the molecular mechanisms underlying this character remain unclear. Here, on the basis of our previous genetic analyses and preliminary mapping results, we isolated the White Stem 1A ( WS1A ) and WS1B genes using a map-based cloning approach. WS1A and WS1B are functional homologs with completely identical biological functions and highly similar expression patterns that control the burley character in tobacco. WS1A and WS1B are derived from Nicotiana sylvestris and Nicotiana tomentosiformis , the diploid ancestors of Nicotiana tabacum , respectively. The two genes encode zinc metalloproteases of the M50 family that are highly homologous to the Ethylene-dependent Gravitropism-deficient and Yellow-green 1 (EGY1) protein of Arabidopsis and the Lutescent 2 (L2) protein of tomato. Transmission electron microscopic examinations indicated that WS1A and WS1B are involved in the development of chloroplasts by controlling the formation of thylakoid membranes, very similar to that observed for EGY1 and L2. The genotyping of historical tobacco varieties revealed that a two-step mutation process occurred in WS1A and WS1B during the evolution of burley tobacco. We also discussed the strategy for gene map-based cloning in polyploid plants with complex genomes. This study will facilitate the identification of agronomically important genes in tobacco and other polyploid crops and provide insights into crop improvement via molecular approaches.

Dichloroquinolinic acid is a hormone-type herbicide widely used to control barnyard grass during crop cultivation. However, it can seriously inhibit the growth of susceptible crops, including tobacco, because it degrades slowly under field conditions. Additionally, the mechanism by which it damages crops is unclear. More specifically, the transcriptional changes in plants induced by dichloroquinolinic acid remain unknown. In this study, differentially expressed genes (DEGs) in tobacco treated with dichloroquinolinic acid (varying concentrations and durations) were analyzed and validated to explore the global transcriptome changes. The number of DEGs, which were determined according to the FPKM, varied from 758 to 21,340. The KEGG analysis revealed that many DEGs were involved in starch and sucrose metabolism, phenylpropanoid biosynthesis, photosynthesis, porphyrin and chlorophyll metabolism, and glutathione metabolism. Transcriptomic analyses indicated that dichloroquinolinic acid can inhibit tobacco growth by inhibiting photosynthesis and storage of energy. We discovered that the toxicity mechanism of the hormone herbicide dichloroquinolinic acid differs from that of high concentrations of IAA (Indoleacetic acid), despite studies confirming that the effects of hormone herbicides are consistent with the physiological disturbances and growth inhibition exhibited by plants in IAA overdose. Particularly, dichloroquinolinic acid suppresses photosynthesis while high concentration IAA stimulates nucleotide synthesis and photosynthesis. More importantly, we found by editing the IAA-responsive gene IAA16, tobacco could develop resistance to dichloroquinolinic acid. The results will help clarify plant responses to hormone-type herbicides at the transcriptional level, thereby providing insights into the diversity in the gene’s response to herbicides, the molecular targets of hormone-type herbicides, and the mechanism underlying the susceptibility of tobacco to dichloroquinolinic acid. Accordingly, this study may be helpful for future research to enhance crop resistance to herbicides residues.

The more axillary growth ( MAX ) gene family is a group of key genes involved in the synthesis and signal transduction of strigolactones (SLs) in plants. Although MAX genes play vital roles in plant growth and development, characterization of the MAX gene family has been limited in solanaceous crops, especially in tobacco. In this study, 74 members of the MAX family were identified in representative Solanaceae crops and classified into four groups. The physicochemical properties, gene structure, conserved protein structural domains, cis-acting elements, and expression patterns could be clearly distinguished between the biosynthetic and signal transduction subfamilies; furthermore, MAX genes in tobacco were found to be actively involved in the regulation of meristem development by responding to hormones. MAX genes involved in SL biosynthesis were more responsive to abiotic stresses than genes involved in SL signaling. Tobacco MAX genes may play an active role in stress resistance. The results of this study provide a basis for future in-depth analysis of the molecular mechanisms of MAX genes in tobacco meristem development and stress resistance.