The coccolithophorid Ochrosphaera neapolitana was reported for the first time from samples obtained during a large-scale mucilage event in the Sea of Marmara in May 2022 in a previous study. We also ...found this species in our samples obtained about a year ago (i.e., in June 2021). In our study, O. neapolitana was further isolated and produced in the laboratory as a monoculture for further investigations using electron microscopy and molecular methods. Ochrosphaera neapolitana was identified using a small sub-unit (SSU) rRNA sequence and subsequent phylogenetic analysis. During the laboratory experiments, O. neapolitana was surprisingly observed to produce conspicuous levels of mucilage as a skim layer in mono- or multi-species cultures, mainly comprising other diatom species. This observation could be a significant milestone in understanding the reasons and mechanisms of mucilage events that occur in the Sea of Marmara.
Many protein-coding genes in higher eukaryotes can produce circular RNAs (circRNAs) through back-splicing of exons. CircRNAs differ from mRNAs in their production, structure and turnover and thereby ...have unique cellular functions and potential biomedical applications. In this Review, I discuss recent progress in our understanding of the biogenesis of circRNAs and the regulation of their abundance and of their biological functions, including in transcription and splicing, sequestering or scaffolding of macromolecules to interfere with microRNA activities or signalling pathways, and serving as templates for translation. I further discuss the emerging roles of circRNAs in regulating immune responses and cell proliferation, and the possibilities of applying circRNA technologies in biomedical research.
In recent years, molecular markers have been utilized for a variety of applications including examination of genetic relationships between individuals, mapping of useful genes, construction of ...linkage maps, marker assisted selections and backcrosses, population genetics and phylogenetic studies. Among the available molecular markers, microsatellites or simple sequence repeats (SSRs) which are tandem repeats of one to six nucleotide long DNA motifs, have gained considerable importance in plant genetics and breeding owing to many desirable genetic attributes including hypervariability, multiallelic nature, codominant inheritance, reproducibility, relative abundance, extensive genome coverage including organellar genomes, chromosome specific location and amenability to automation and high throughput genotyping. High degree of allelic variation revealed by microsatellite markers results from variation in number of repeat-motifs at a locus caused by replication slippage and/or unequal crossing-over during meiosis. In spite of limited understanding of the functions of the SSR motifs within the plant genes, SSRs are being widely utilized in plant genome analysis. Microsatellites can be developed directly from genomic DNA libraries or from libraries enriched for specific microsatellites. Alternatively, microsatellites can also be found by searching public databases such as GenBank and EMBL or through cross-species transferability. At present, EST databases are an important source of candidate genes, as these can generate markers directly associated with a trait of interest and may be transferable in close relative genera. A large number of SSR based techniques have been developed and a quantum of literature has accumulated regarding the applicability of SSRs in plant genetics and genomics. In this review we discuss the recent developments (last 4-5 years) made in plant genetics using SSR markers.
The Fourth Law of Behavior Genetics Chabris, Christopher F.; Lee, James J.; Cesarini, David ...
Current directions in psychological science : a journal of the American Psychological Society,
08/2015, Letnik:
24, Številka:
4
Journal Article
Recenzirano
Odprti dostop
Behavior genetics is the study of the relationship between genetic variation and psychological traits. Turkheimer (2000) proposed "Three Laws of Behavior Genetics" based on empirical regularities ...observed in studies of twins and other kinships. On the basis of molecular studies that have measured DNA variation directly, we propose a Fourth Law of Behavior Genetics: "A typical human behavioral trait is associated with very many genetic variants, each of which accounts for a very small percentage of the behavioral variability." This law explains several consistent patterns in the results of gene-discovery studies, including the failure of candidate-gene studies to robustly replicate, the need for genome-wide association studies (and why such studies have a much stronger replication record), and the crucial importance of extremely large samples in these endeavors. We review the evidence in favor of the Fourth Law and discuss its implications for the design and interpretation of gene-behavior research.
Specific short oligonucleotide sequences that enhance pre-mRNA splicing when present in exons, termed exonic splicing enhancers (ESEs), play important roles in constitutive and alternative splicing. ...A computational method, RESCUE-ESE, was developed that predicts which sequences have ESE activity by statistical analysis of exon-intron and splice site composition. When large data sets of human gene sequences were used, this method identified 10 predicted ESE motifs. Representatives of all 10 motifs were found to display enhancer activity in vivo, whereas point mutants of these sequences exhibited sharply reduced activity. The motifs identified enable prediction of the splicing phenotypes of exonic mutations in human genes.
Behaviours of complex biomolecular systems are often irreducible to the elementary properties of their individual components. Explanatory and predictive mathematical models are therefore useful for ...fully understanding and precisely engineering cellular functions. The development and analyses of these models require their adaptation to the problems that need to be solved and the type and amount of available genetic or molecular data. Quantitative and logic modelling are among the main methods currently used to model molecular and gene networks. Each approach comes with inherent advantages and weaknesses. Recent developments show that hybrid approaches will become essential for further progress in synthetic biology and in the development of virtual organisms.
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