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Plant U-box E3 ligases: Versatile regulators of environmental stress adaptation and ABA signaling.

Ubiquitination is a reversible post-translational modification that orchestrates a wide spectrum of fundamental processes throughout the plant life cycle. Executed by a hierarchical E1-E2-E3 cascades, this modification tags targets with ubiquitin to modulate their turnover, activity, or subcellular compartmentalization. Among the diverse E3 ligase families, plant U-box (PUB) proteins stand out as a prominent class that determines substrate selection and has emerged as a focal point of stress biology. In this review, we first delineate the structural features of PUB proteins, highlighting their conserved domains and associated regulatory motifs. We then systematically dissect their multifaceted functions in abiotic stress adaptation, encompassing drought, salinity, extreme temperatures, oxidative stress, heavy metal toxicity, with particular emphasis on their integration with ABA signaling networks. We further outline critical knowledge gaps and propose future strategies to decode the regulatory architecture of PUBs. Collectively, this review provides a theoretical foundation and new insights for facilitating the genetic improvement of crop resilience in the face of continuously intensifying environmental stresses through the manipulation of PUB-mediated ubiquitination networks.

ABA signaling↗

Conformational analysis of Escherichia coli 30S ribosomes containing the single-base mutations G530U, U1498G, G1401C, and C1501G and the double-base mutation G1401C/C1501G.

Biochemical and genetic studies have pointed out the importance of several sites in 16S ribosomal RNA of Escherichia coli in the decoding process. These sites consist of the core of the decoding center (1400/1500 region) and two other segments (530 and 1050/1200 regions). To detect a possible structural link between these functionally related regions, we analyzed their sensitivity to conformational changes induced by mutations which are located in each of these regions and are known to affect the decoding process. The conformations of five segments of 16S rRNA (1-106, 406-569, 780-978, 997-1247, and 1334-1519) were analyzed by chemical probing of 30S ribosomes containing the following mutations: G530U, U1498G, G1401C, C1501G, and G1401C/C1501G. Ribosomes reconstituted with natural wild-type 16S RNA showed only minor conformational differences with respect to ribosomes isolated from cells. When 16S RNA made in vitro replaced natural 16S RNA, a slightly looser conformation of the central core region was found. Mutant ribosomes made by reconstitution with mutant 16S RNA made in vitro showed conformational effects which were in all cases localized to the region of secondary structure surrounding the site of mutation. Although the core of the decoding center (1400/1500 region) and the two other sites (530 and 1050/1200 regions) participating in the decoding function have been functionally linked, our data indicate that they are structurally independent. They also provide evidence for an unusual structure of the 1400/1500 decoding center, possibly involving noncanonical interactions. Furthermore, the absence of any conformational effect induced by the G530U mutation except at the site of mutation itself points to its direct, as opposed to indirect, involvement in the decoding function of the ribosome.

Base Sequence↗

Adaptation of an orthogonal archaeal leucyl-tRNA and synthetase pair for four-base, amber, and opal suppression.

Recently, it has been shown that an amber suppressor tRNA/aminoacyl-tRNA synthetase pair derived from the tyrosyl-tRNA synthetase of Methanococcus jannaschii can be used to genetically encode unnatural amino acids in response to the amber nonsense codon, TAG. However, we have been unable to modify this pair to decode either the opal nonsense codon, TGA, or the four-base codon, AGGA, limiting us to a 21 amino acid code. To overcome this limitation, we have adapted a leucyl-tRNA synthetase from Methanobacterium thermoautotrophicum and leucyl tRNA derived from Halobacterium sp. NRC-1 as an orthogonal tRNA-synthetase pair in Escherichia coli to decode amber (TAG), opal (TGA), and four-base (AGGA) codons. To improve the efficiency and selectivity of the suppressor tRNA, extensive mutagenesis was performed on the anticodon loop and acceptor stem. The two most significant criteria required for an efficient amber orthogonal suppressor tRNA are a CU(X)XXXAA anticodon loop and the lack of noncanonical or mismatched base pairs in the stem regions. These changes afford only weak suppression of TGA and AGGA. However, this information together with an analysis of sequence similarity of multiple native archaeal tRNA sequences led to efficient, orthogonal suppressors of opal codons and the four-base codon, AGGA. Ultimately, it should be possible to use these additional orthogonal pairs to genetically incorporate multiple unnatural amino acids into proteins.

Anticodon↗

Structural dynamics of ribosomal RNA during decoding on the ribosome.

Decoding is a multistep process by which the ribosome accurately selects aminoacyl-tRNA (aa-tRNA) that matches the mRNA codon in the A site. The correct geometry of the codon-anticodon complex is monitored by the ribosome, resulting in conformational changes in the decoding center of the small (30S) ribosomal subunit by an induced-fit mechanism. The recognition of aa-tRNA is modulated by changes of the ribosome conformation in regions other than the decoding center that may either affect the architecture of the latter or alter the communication of the 30S subunit with the large (50S) subunit where the GTPase and peptidyl transferase centers are located. Correct codon-anticodon complex formation greatly accelerates the rates of GTP hydrolysis and peptide bond formation, indicating the importance of crosstalk between the subunits and the role of the 50S subunit in aa-tRNA selection. In the present review, recent results of the ribosome crystallography, cryoelectron microscopy (cryo-EM), genetics, rapid kinetics and biochemical approaches are reviewed which show that the dynamics of the structure of ribosomal RNA (rRNA) play a crucial role in decoding.

Anticodon↗

The tRNA species for redundant genetic codons NNU and NNC. A thought on the absence of phenylalanine tRNA with AAA anticodon in Escherichia coli.

The redundant genetic codons NNU and NNC (where N is A, T, G, or C) specify the same amino acid and are decoded by their cognate tRNAs, which contain either a guanosine or a modified base in the wobble position of the anticodons. Since tRNAs with an adenosine in the wobble position of the anticodon, which are complementary to the NNU codons, are not found naturally, we have generated a tRNA(Phe) with AAA anticodon and examined how an adenosine in the wobble position would affect its biological function in Escherichia coli. We found that the tRNA(Phe) with GAA anticodon (wild-type) repressed the expression of the pheA gene via tRNA(Phe)-mediated attenuation of transcription, whereas the tRNA(Phe) with AAA anticodon did not influence the expression of the pheA gene. Furthermore, elevated levels of tRNA(Phe)(AAA) did not support the growth of an E. coli strain carrying a temperature-sensitive mutation in the pheS gene at 42 degrees C. Since the presence of a multicopy plasmid carrying the gene that encodes tRNA(Phe)(GAA), a substrate for phenylalanyl tRNA synthetase, enables the E. coli strain carrying the pheS(Ts) mutation to grow at 42 degrees C, the above observation suggests that unlike tRNA(Phe)(GAA), tRNA(Phe)(AAA) is not a good substrate for phenylalanyl-tRNA synthetase. Therefore, we postulate that the presence of adenosine at the wobble position of anticodons was specifically eliminated and the tRNAs with guanosine or a modified base in the wobble position were selected to decode both NNU and NNC codons in E. coli.

Anticodon↗

Production scheduling and rescheduling with genetic algorithms.

A general model for job shop scheduling is described which applies to static, dynamic and non-deterministic production environments. Next, a Genetic Algorithm is presented which solves the job shop scheduling problem. This algorithm is tested in a dynamic environment under different workload situations. Thereby, a highly efficient decoding procedure is proposed which strongly improves the quality of schedules. Finally, this technique is tested for scheduling and rescheduling in a non-deterministic environment. It is shown by experiment that conventional methods of production control are clearly outperformed at reasonable run-time costs.

Algorithms↗

Polygenic trait analysis by neural network learning.

AI techniques have been applied to the domain of DNA sequence analysis in predicting or identifying certain specialized regions, in recognizing genes, and in understanding the evolutionary relationships between sequences. This paper focuses on a kind of genetic pattern recognition, namely, the problem of identifying the gene combinations (patterns) causally related to a given trait determined by multiple genes (a so-called polygenic trait). A novel approach is presented which combines neural-network and knowledge-based techniques. The neural network is trained to predict the trait and then the knowledge embedded in the network is decoded into symbolic patterns. This hybrid approach is evaluated in the domain of identifying genes of insulin dependent diabetes mellitus. The consistency between the results with this approach and those reported in genetic literature supports the viability of this approach.

Artificial Intelligence↗

Genomics and cancer.

Genetic and environmental factors are responsible for the genomic lesions that cause cancer, a complex genetic disease associated with genomic instability. Studies aimed at deciphering the lesions in cancer have focused mainly on one or a few genes, despite the genomic scope of the disease. The recently decoded human DNA sequence is anticipated to foster understanding of human evolution and disease and the role of environment and heredity in the human condition. This review addresses the opportunities and challenges that the availability of the human genome sequence holds for cancer research.

Genetic Therapy↗

Structure and dynamics of ribosomal RNA.

Over the past two years, progress in X-ray crystallography, NMR spectroscopy and electron microscopy has begun to reveal the complex structure of the RNA within the ribosome. The structures of ribosomal proteins L11 and S15, among others, show how RNA-protein interactions organize the conformation of the junctions between ribosomal RNA helices. Genetic and biochemical methods have also identified a three base-pair switch within the 16S rRNA that is linked to mRNA decoding.

Base Sequence↗

X-ray crystal structures of the WT and a hyper-accurate ribosome from Escherichia coli.

Protein biosynthesis on the ribosome requires accurate reading of the genetic code in mRNA. Two conformational rearrangements in the small ribosomal subunit, a closing of the head and body around the incoming tRNA and an RNA helical switch near the mRNA decoding site, have been proposed to select for complementary base-pairing between mRNA codons and tRNA anticodons. We determined x-ray crystal structures of the WT and a hyper-accurate variant of the Escherichia coli ribosome at resolutions of 10 and 9 A, respectively, revealing that formation of the intact 70S ribosome from its two subunits closes the conformation of the head of the small subunit independent of mRNA decoding. Moreover, no change in the conformation of the switch helix is observed in two steps of tRNA discrimination. These 70S ribosome structures indicate that mRNA decoding is coupled primarily to movement of the small subunit body, consistent with previous proposals, whereas closing of the head and the helical switch may function in other steps of protein synthesis.

Base Sequence↗

Genetic and signaling pathway alterations in glioblastoma: relevance to novel targeted therapies.

Glioblastomas multiforme (GBM) is the most common malignant primary brain tumor in adults. GBM patients have a dismal prognosis, with a median survival of less than 1 year. During the past decade, significant advances have been made in our understanding of the molecular pathogenesis of these tumors. Specific genetic defects have been identified that appear to be important for the development, as well as maintenance of the malignant characteristics that are associated with GBM. Some of these genetic aberrations appear to have prognostic significance. However, even more exciting in this era of molecularly targeted therapy are the clues these gene alterations provide for identifying signaling mechanisms responsible for carcinogenesis, and for identifying potential therapeutic targets. Cancer drug therapy is currently undergoing a major transition with an attempt to move from the use of cytotoxic drugs towards the use of tumor mechanism-based drugs. Advances such as the decoding of the human genome, combinatorial chemistry, and gene expression profiling have led to an increase in the rate at which new drugs are being developed. In this review, we will describe the most common genetic and signaling pathway alterations that have relevance to new drug development for the treatment of GBM.

Animals↗

Evaluation of a three-exposure mouse bone marrow micronucleus protocol: results with 49 chemicals.

Forty-nine chemicals were tested in a mouse bone marrow micronucleus test that employed three daily exposures by intraperitoneal injection. Bone marrow samples were obtained 24 hr following the final exposure. Twenty-five rodent carcinogens and 24 noncarcinogens were selected randomly from the 44 carcinogens and 29 noncarcinogens used by Tennant et al. (Science 236:933-941, 1987) to evaluate the performance of four in vitro genetic toxicity tests. As in that study of in vitro tests, the micronucleus tests were conducted with coded chemicals and test results (positive or negative) were determined prior to decoding. This study was conducted as part of an effort to assess the ability of the micronucleus test to discriminate between rodent carcinogens and noncarcinogens and to determine its potential role, in combination with other short-term tests, in identifying genotoxic chemicals that present a carcinogenic hazard. Nine chemicals were judged to be positive in the micronucleus test. This relatively low number of positive results, along with published and unpublished results from rodent micronucleus and chromosome aberration assays on several of these 49 chemicals, contributed to the conclusion that a single micronucleus test protocol is not adequate to detect all chemicals capable of inducing chromosomal damage in the bone marrow. However, a combination of two relatively simple assays such as the Salmonella and micronucleus tests can provide important information on the genetic toxicity of test chemicals and may provide guidance on the need for and the nature and extent of future toxicity studies.

Animals↗

A deviation from the universal genetic code in Candida maltosa and consequences for heterologous expression of cytochromes P450 52A4 and 52A5 in Saccharomyces cerevisiae.

We demonstrate that serine instead of leucine is specified by the CUG codon in the yeast Candida maltosa. Evidence for this deviation from the universal genetic code was obtained by means of in vitro translation experiments. Depending on the cell-free system used, either serine, in the C. maltosa system, or leucine, in the control with the conventional wheat germ system, was found to be incorporated into the translation products of artificial CUG-containing mRNAs. Moreover, we were able to transfer the non-universal decoding of CUG to the wheat germ system by adding a tRNA fraction isolated from C. maltosa. This finding indicates the presence in C. maltosa of an unusual serine tRNA that recognizes CUG. As a consequence of the altered genetic code, expression in Saccharomyces cerevisiae of C. maltosa cytochrome P450 genes required an exchange of their CTG triplets by TCT encoding serine in order to produce the authentic proteins. In contrast, heterologous expression of the original C. maltosa genes resulted in the formation of still active but unstable enzymes probably subject to selective proteolysis in the host cells.

Base Sequence↗

The context theory as applied to the decoding of the initiator tRNA by Escherichia coli ribosomes.

The involvement of nucleotides adjacent to the termination codons in tRNA during the suppression of termination has been formulated as the 'context theory' by Bossi and Roth (1980) [Nature (Lond.) 286, 123-127]. The finding that U-U-G functions as an initiator codon has revived the discussion on the participation of the nucleotides flanking the initiator triplet in the decoding of initiator tRNA (context theory of initiation by the ribosome). We compared the capacity of oligonucleotides cognate to the anticodon loop of formylmethionine tRNA, such as A-U-G, A-U-G-A and U-A-U-G-A, to enhance the formation of the 30-S and 70-S ribosomal initiation complexes. Three different methods were used to determine the apparent binding constants and the stoichiometries of the respective complexes: adsorption of the complexes to nitrocellulose filters, equilibrium dialysis, and velocity sedimentation. We found that in the 30-S ribosomal initiation complex and in the presence of initiation factor 2 and GTP, formylmethionyl-tRNA is preferentially decoded by more than three mRNA bases. With the 70-S ribosome, however, once initiation factor 2 had been released, A-U-G represented the most effective codon to direct the formylmethionyl-tRNA to the peptidyl site. An extended initiator sequence may either give additional stability to the 30-S initiation complex or may allow for an ambiguity by one base pair in the decoding of the initiator tRNA.

Binding Sites↗