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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↗

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↗

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↗

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↗

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↗

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↗

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↗

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↗

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↗

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↗

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↗

Prevalence and inheritance of hip osteoarthritis in Iceland.

The purpose of this study was to: (I) assess the prevalence of hip osteoarthritis (OA) in Iceland and compare it with that in Southern Scandinavia, (II) determine the incidence of total hip replacement (THR) for primary OA in Iceland, (III) compare two different methods for defining radiographic hip OA, (IV) assess in a population-wide study in Iceland the genetic contribution t hip OA leading to THR, and (V) perform a genome-wide scan of a large Icelandic family to identify a chromosomal susceptibility locus for hip OA leading to THR. many Icelandic patients with hip OA have been well aware that this disease "goes in the family". by examining a large proportion of all Icelandic colon radiographs taken 1990-1996 the prevalence of radiographic hip OA in Iceland was found to be at least five-fold higher compared to Swedish and Danish studies that have used the same methods. A comparison of two methods for estimating hip OA from colon radiographs showed that a simple quantitative method of measuring joint space was more reliable than a qualitative method. The age-standardized incidence of THR for primary hip OA in Iceland between 1982 and 1996 was estimated and found to be about 50 percent higher than for Sweden. The higher Icelandic prevalence of hip OA may explain most of this difference. To investigate the contribution of heritability to hip OA leading to THR, information from two population-wide database in Iceland was combined: A national registry of THR between 1972 and 1996, and a genealogy database of all Icelandic genealogy records for the last 11 centuries made available by deCode Genetics. The genetic contribution to THR for OA was assessed by (a) identifying familial clusters of THR for OA, (b) applying the minimum founder test (MFT) to estimate the minimum number of ancestors to account for all patients with THR for OA, compared to the average number of founders for control lists, (c) calculating an average pairwise kinship coefficient (KC) for the patient and control lists, (d) estimating the relative risk (RR) for relatives of patients with THR for OA. A large number of familial clusters of patients with THR for OA were identified. MFT showed that OA patients descended from fewer founders than the control groups. The average pairwise KC among patients with OA was greater than in the population. RR for siblings of THR for OA patients was 3.05 (2.52, 3.10). Icelandic patients with THR for OA are thus significantly more related to each other than are matched controls. These findings support a significant genetic contribution to a common form of OA and encourages the search for genes conferring an increased susceptibility to OA. New techniques now make it possible to search the whole human genome for chromosomal susceptibility loci associating with OA. A genome wide scan was done to identify susceptibility loci for hip OA leading to THR, using DNA from a large Icelandic family with a very high prevalence of primary hip OA. A genome locus with a lod score of 2.58 was identified on chromosome 16p. A similar locus has been reported on from England. This is the first instance where what may be the same susceptibility locus for OA is independently described in two different populations with hip OA. We have identified other families with hip OA which link to the studied family and are continuing an expanded genome-wide scan. Continued studies of the kind outlined here will clarify the complex genetic background of OA and identify genetic variation associated with the disease. In addition to improving our understanding of the pathogenesis of OA and identifying new molecular targets for treatment, this will allow a better insight into the interactions between genetic background and environmental factors that initiate and drive OA.

Adult↗