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At least 19 recordsLinked to original sources
PubMed2026

Advances in genomics-driven genetic decoding and genomic design breeding in tomato.

Tomatoes are highly nutritious and represent one of the important vegetable fruits worldwide. Both historically and moving forward, genetic decoding and precision breeding remain fundamental to tomato improvement. Here, we summarize pivotal advances in decoding tomato genomes across domestication, improvement and evolution processes and provide a perspective on future breeding through precision design. In-depth population genetic studies have revealed how artificial selection systematically prioritized yield-related alleles at the cost of narrowing genetic diversity, especially at flavor-related loci-highlighting the urgent need to reconcile these trade-offs. Comparative genomics across species, viewed through an evolutionary lens, has uncovered critical insights into functional genes, deepening our understanding of the genetic architecture and regulatory mechanisms underlying key traits. Collectively, these advances have enabled precise identification and functional characterization of key genetic elements, paving the way for systematic redomestication of tomato through precision genomic design. Looking ahead, more efficient and precise breeding strategies will be required to accelerate genetic gains in tomato in the coming decades. The integration of recent genomic advances, coupled with genomic selection and artificial intelligence, into genomic design breeding offers a transformative framework, unlocking unprecedented opportunities for developing highly flavorful and consumer-customized tomato varieties.

Journal Article↗
PubMed2000

Nonlinearity in genetic decoding: homologous DNA replicase genes use alternatives of transcriptional slippage or translational frameshifting.

The tau and gamma subunits of DNA polymerase III are both encoded by a single gene in Escherichia coli and Thermus thermophilus. gamma is two-thirds the size of tau and shares virtually all its amino acid sequence with tau. E. coli and T. thermophilus have evolved very different mechanisms for setting the approximate 1:1 ratio between tau and gamma. Both mechanisms put ribosomes into alternate reading frames so that stop codons in the new frame serve to make the smaller gamma protein. In E. coli, approximately 50% of initiating ribosomes translate the dnaX mRNA conventionally to give tau, but the other 50% shift into the -1 reading frame at a specific site (A AAA AAG) in the mRNA to produce gamma. In T. thermophilus ribosomal frameshifting is not required: the dnaX mRNA is a heterogeneous population of molecules with different numbers of A residues arising from transcriptional slippage on a run of nine T residues in the DNA template. Translation of the subpopulation containing nine As (or +/- multiples of three As) yields tau. The rest of the population of mRNAs (containing nine +/- nonmultiples of three As) puts ribosomes into the alternate reading frames to produce the gamma protein(s). It is surprising that two rather similar dnaX sequences in E. coli and T. thermophilus lead to very different mechanisms of expression.

Bacterial Proteins↗
PubMed1998

An rRNA fragment and its antisense can alter decoding of genetic information.

rRNA plays a central role in protein synthesis and is intimately involved in the initiation, elongation, and termination stages of translation. However, the mode of its participation in these reactions, particularly as to the decoding of genetic information, remains elusive. In this paper, we describe a new approach that allowed us to identify an rRNA segment whose function is likely to be related to translation termination. By screening an expression library of random rRNA fragments, we identified a fragment of the Escherichia coli 23S rRNA (nucleotides 74 to 136) whose expression caused readthrough of UGA nonsense mutations in certain codon contexts in vivo. The antisense RNA fragment produced a similar effect, but in neither case was readthrough of UAA or UAG observed. Since termination at UGA in E. coli specifically requires release factor 2 (RF2), our data suggest that the fragments interfere with RF2-dependent termination.

Codon, Terminator↗
PubMed1999

The assent of a nation: genethics and Iceland.

The Icelandic parliament passed legislation authorizing the establishment of a national health sector database which will be sponsored financially by private enterprises through DeCode Genetics Inc. Health related data will be gathered from patients, without their informed consent, from all points of contact with Icelandic public and private health care providers. A centralized data curator will 'non-personalize' the identity of the subjects in a one-way coding system which the government and DeCode Genetics argue overrides the need for informed consent. This legislation is in conflict with the European Data Protection Act, which requires informed consent for the collection of personal data. The law raises many ethical questions regarding the central tenets of informed consent, the power of government, the rights of the human subject, and finally, the responsibility of the clinician balancing commitments of the patient and research.

Bioethics↗
PubMed2024

Decoding the genetic landscape of allergic rhinitis: a comprehensive network analysis revealing key genes and potential therapeutic targets.

BACKGROUND: Allergic Rhinitis (AR), an inflammatory affliction impacting the upper respiratory tract, has been registering a substantial surge in incidence across the globe. METHODS: We embarked on examination of differentially expressed genes (DEGs) and the Weighted Gene Co-Expression Network Analysis (WGCNA). With this armory of genes identified, we engaged the tools of Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Our study continued with the establishment of a protein-protein interaction (PPI) network and the application of LASSO regression. Finally, we leveraged a docking model to elucidate potential drug-gene interactions involving these key genes. RESULTS: Through WGCNA and different express genes screening, PPI network was performed, identifying top 20 key genes, including CD44, CD69, CD274. LASSO regression identified three independent factors, STARD5, CST1, and CHAC1, that were significantly associated with AR. A predictive model was developed with an AUC value over 0.75. Also, 105 potential therapeutic agents were discovered, including Fluorouracil, Cyclophosphamide, Doxorubicin, and Hydrocortisone, offering promising therapeutic strategies for AR. CONCLUSION: By fuzing DEGs with key genes derived from WGCNA, this study has illuminated a comprehensive network of gene interactions involved in the pathogenesis of AR, paving the way for future biomarker and therapeutic target discovery in AR.

Humans↗
PubMed1991

RNA minihelices and the decoding of genetic information.

The rules of the genetic code are determined by the specific aminoacylation of transfer RNAs by aminoacyl transfer RNA synthetase. A straightforward analysis shows that a system of synthetase-tRNA interactions that relies on anticodons for specificity could, in principle, enable most synthetases to distinguish their cognate tRNA isoacceptors from all others. Although the anticodons of some tRNAs are recognition sites for the cognate aminoacyl tRNA synthetases, for other synthetases the anticodon is dispensable for specific aminoacylation. In particular, alanine and histidine tRNA synthetases aminoacylate small RNA minihelices that reconstruct the part of their cognate tRNAs that is proximate to the amino acid attachment site. Helices with as few as six base pairs can be efficiently aminoacylated. The specificity of aminoacylation is determined by a few nucleotides and can be converted from one amino acid to another by the change of only a few nucleotides. These findings suggest that, for a subgroup of the synthetases, there is a distinct code in the acceptor helix of transfer RNAs that determines aminoacylation specificity.

Amino Acyl-tRNA Synthetases↗
PubMed1992

DNA probes and automation.

Current methods for DNA probe analysis in principle provide access to the total genetic information of any organism and permit applications in health care, for example. In practice, however, greatly improved efficiency of methods for decoding genetic information is required for both research and routine applications. This review describes recent progress towards automated DNA probe assays.

Automation↗
PubMed1998

Population genomics: laying the groundwork for genetic disease modeling and targeting.

The family has proven the most appropriate unit with which to study Mendelian diseases. There are, however, certain limitations on the use of the family as a fundamental unit in the study of common diseases, most of which are complex genetic diseases. The groups that are most likely to yield the genetics of complex diseases are isolated populations with strong founder effects. Therefore, access to such populations is proving to be a precious resource in the work on the genetics of common diseases. The Icelandic population is an excellent population for the study of the genetics of common diseases; it is genetically homogeneous, with founder effects for many traits, and the genealogy of the entire nation is well documented back to the founding days. Furthermore, the nature of the Icelandic national health care system facilitates the assignment of phenotypes in the search for disease genes. Decode Genetics has begun to study of the genetics of 20 of the most common diseases in the Western parts of the world. The company has placed the groundwork for the construction of an encrypted database with information on the health care of the entire nation, genealogy of the entire nation, genotyping information with high density of markers on a large part of the nation (including typing for known disease genes), and resource use in the Icelandic health care system. The plan is to build the database with approval of participating individuals as well as Icelandic government and health care officials. The database will be used to model health care as viewed in the context of genetic predisposition to the development of disease. The database will also be used in the search for drug targets in complex diseases and in the solution of pharmacogenomic problems. Basing the company in Iceland directly benefits the population in terms of employment and return on investment as well as providing the health care system with an information resource which may be used in preventive medicine and in the optimization of health care in Iceland.

Genealogy and Heraldry↗
PubMed1996

Single sequence of a helix-loop peptide confers functional anticodon recognition on two tRNA synthetases.

The specific aminoacylation of RNA oligonucleotides whose sequences are based on the acceptor stems of tRNAs can be viewed as an operational RNA code for amino acids that may be related to the development of the genetic code. Many synthetases also have direct interactions with tRNA anticodon triplets and, in some cases, these interactions are thought to be essential for aminoacylation specificity. In these instances, an unresolved question is whether interactions with parts of the tRNA outside of the anticodon are sufficient for decoding genetic information. Escherichia coli isoleucyl- and methionyl-tRNA synthetases are closely related enzymes that interact with their respective anticodons. We used binary combinatorial mutagenesis of a 10 amino acid anticodon binding peptide in these two enzymes to identify composite sequences that would confer function to both enzymes despite their recognizing different anticodons. A single peptide was found that confers function to both enzymes in vivo and in vitro. Thus, even in enzymes where anticodon interactions are normally important for distinguishing one tRNA from another, these interactions can be 'neutralized' without losing specificity of amino-acylation. We suggest that acceptor helix interactions may play a role in providing the needed specificity.

Amino Acid Sequence↗
PubMed2024

Genome-Wide Association Study of Accessory Atrioventricular Pathways.

IMPORTANCE: Understanding of the genetics of accessory atrioventricular pathways (APs) and affiliated arrhythmias is limited. OBJECTIVE: To investigate the genetics of APs and affiliated arrhythmias. DESIGN, SETTING, AND PARTICIPANTS: This was a genome-wide association study (GWAS) of APs, defined by International Classification of Diseases (ICD) codes and/or confirmed by electrophysiology (EP) study. Genome-wide significant AP variants were tested for association with AP-affiliated arrhythmias: paroxysmal supraventricular tachycardia (PSVT), atrial fibrillation (AF), ventricular tachycardia, and cardiac arrest. AP variants were also tested in data on other heart diseases and measures of cardiac physiology. Individuals with APs and control individuals from Iceland (deCODE Genetics), Denmark (Copenhagen Hospital Biobank, Danish Blood Donor Study, and SupraGen/the Danish General Suburban Population Study [GESUS]), the US (Intermountain Healthcare), and the United Kingdom (UK Biobank) were included. Time of phenotype data collection ranged from January 1983 to December 2022. Data were analyzed from August 2022 to January 2024. EXPOSURES: Sequence variants. MAIN OUTCOMES AND MEASURES: Genome-wide significant association of sequence variants with APs. RESULTS: The GWAS included 2310 individuals with APs (median [IQR] age, 43 [28-57] years; 1252 [54.2%] male and 1058 [45.8%] female) and 1 206 977 control individuals (median [IQR] year of birth, 1955 [1945-1970]; 632 888 [52.4%] female and 574 089 [47.6%] male). Of the individuals with APs, 909 had been confirmed in EP study. Three common missense variants were associated with APs, in the genes CCDC141 (p.Arg935Trp: adjusted odds ratio [aOR], 1.37; 95% CI, 1.24-1.52, and p.Ala141Val: aOR, 1.55; 95% CI 1.34-1.80) and SCN10A (p.Ala1073Val: OR, 1.22; 95% CI, 1.15-1.30). The 3 variants associated with PSVT and the SCN10A variant associated with AF, supporting an effect on AP-affiliated arrhythmias. All 3 AP risk alleles were associated with higher heart rate and shorter PR interval, and have reported associations with chronotropic response. CONCLUSIONS AND RELEVANCE: Associations were found between sequence variants and APs that were also associated with risk of PSVT, and thus likely atrioventricular reentrant tachycardia, but had allele-specific associations with AF and conduction disorders. Genetic variation in the modulation of heart rate, chronotropic response, and atrial or atrioventricular node conduction velocity may play a role in the risk of AP-affiliated arrhythmias. Further research into CCDC141 could provide insights for antiarrhythmic therapeutic targeting in the presence of an AP.

Humans↗
PubMed1983

Possible mechanism for origin of chiral specificity during origins of life.

We have earlier (Origins of Life 10 (1980), 15-30) proposed a conformational theory for the origin of nucleic acid-directed adaptor-mediated ordered and proliferative synthesis of proteins and hence origin of life. Conjunction of L-amino acids and beta-D-ribonucleotides emerges as a natural consequence of a template fitting interaction in this theory of the origin of the genetic decoding apparatus. Here we propose an interesting new concept for the origin of chiral specificity, by showing that two autonomously developing systems of protein-synthesizing machinery, one manufacturing L-peptides (L-system) and the other, D-peptides (D-system) could have arisen and during early stages of evolution L-system could have developed a killer enzyme to destroy the D-system, causing the presently existing chiral specificity in all the evolved organisms on Earth. It would be interesting to look for such 'killer enzymes' in the present-day organisms. Of course, the existence of D-amino acid-containing antibiotics gives some credence to this theory.

Genetic Code↗
PubMed1997

The ternary complex of EF-Tu and its role in protein biosynthesis.

The past year has seen a breakthrough in our structural understanding of how aminoacyl-tRNAs are selected and transported to the ribosomal A-site in order to decode genetic information contained in messenger RNA. All aminoacyl-tRNAs are recognized by the elongation factor EF-Tu in prokaryotes or EF-1alpha in eukaryotes. The recent determination of the structure of the ternary complex of aminoacyl-tRNA, EF-Tu and a GTP analogue shows how the CCA end of all aminoacyl-tRNA structures can be accommodated in a specific binding site on EF-Tu-GTP, and how part of the T-helix can be recognized by EF-Tu in a non-sequence-specific way. Furthermore, the structure of the ternary complex shows striking structural similarity to the structure of another prokaryotic elongation factor, EF-G, the tRNA translocase, in its GDP or empty form. This observation has led to the proposal of a general macromolecular mimicry of RNA and protein, which predicts elements of RNA-like structures will occur in other translation factors, such as initiation factors and release factors, that interact with similar sites on the ribosome.

Peptide Elongation Factor Tu↗
PubMed1999

tRNA discrimination at the binding step by a class II aminoacyl-tRNA synthetase.

Aminoacyl-tRNA synthetases preserve the fidelity of decoding genetic information by accurately joining amino acids to their cognate transfer RNAs. Here, tRNA discrimination at the level of binding by Escherichia coli histidyl-tRNA synthetase is addressed by filter binding, analytical ultracentrifugation, and iodine footprinting experiments. Competitive filter binding assays show that the presence of an adenylate analogue 5'-O-[N-(L-histidyl)sulfamoyl]adenosine, HSA, decreased the apparent dissociation constant (K(D)) for cognate tRNA(His) by more than 3-fold (from 3.87 to 1.17 microM), and doubled the apparent K(D) for noncognate tRNA(Phe) (from 7.3 to 14.5 microM). By contrast, no binding discrimination against mutant U73 tRNA(His) was observed, even in the presence of HSA. Additional filter binding studies showed tighter binding of both cognate and noncognate tRNAs by G405D mutant HisRS [Yan, W., Augustine, J., and Francklyn, C. (1996) Biochemistry 35, 6559], which possesses a single amino acid change in the C-terminal anticodon binding domain. Discrimination against noncognate tRNA was also observed in sedimentation velocity experiments, which showed that a stable complex was formed with the cognate tRNA(His) but not with noncognate tRNA(Phe). Footprinting experiments on wild-type versus G405D HisRS revealed characteristic alterations in the pattern of protection and enhancement of iodine cleavage at phosphates 5' to tRNA nucleotides in the anticodon and hinge regions. Together, these results suggest that the anticodon and core regions play major roles in the initial binding discrimination between cognate and noncognate tRNAs, whereas acceptor stem nucleotides, particularly at position 73, influence the reaction at steps after binding of tRNA.

Adenosine↗
PubMed1996

Protein synthesis editing by a DNA aptamer.

Potential errors in decoding genetic information are corrected by tRNA-dependent amino acid recognition processes manifested through editing reactions. One example is the rejection of difficult-to-discriminate misactivated amino acids by tRNA synthetases through hydrolytic reactions. Although several crystal structures of tRNA synthetases and synthetase-tRNA complexes exist, none of them have provided insight into the editing reactions. Other work suggested that editing required active amino acid acceptor hydroxyl groups at the 3' end of a tRNA effector. We describe here the isolation of a DNA aptamer that specifically induced hydrolysis of a misactivated amino acid bound to a tRNA synthetase. The aptamer had no effect on the stability of the correctly activated amino acid and was almost as efficient as the tRNA for inducing editing activity. The aptamer has no sequence similarity to that of the tRNA effector and cannot be folded into a tRNA-like structure. These and additional data show that active acceptor hydroxyl groups in a tRNA effector and a tRNA-like structure are not essential for editing. Thus, specific bases in a nucleic acid effector trigger the editing response.

Base Sequence↗