Laboratory Rodent Welfare: Thinking Outside the Cage

This commentary presents the case against housing rats and mice in laboratory cages; the commentary bases its case on their sentience, natural history, and the varied detriments of laboratory conditions. The commentary gives 5 arguments to support this position: (a) rats and mice have a high degree of sentience and can suffer, (b) laboratory environments cause suffering, (c) rats and mice in the wild have discrete behavioral needs, (d) rats and mice bred for many generations in the laboratory retain these needs, and (e) these needs are not met in laboratory cages.     

eEF1A: Thinking Outside the Ribosome

Eukaryotic translation elongation factor 1A (eEF1A) is one of the most abundant protein synthesis factors. eEF1A is responsible for the delivery of all aminoacyl-tRNAs to the ribosome, aside from initiator and selenocysteine tRNAs. In addition to its roles in polypeptide chain elongation, unique cellular and viral activities have been attributed to eEF1A in eukaryotes from yeast to plants and mammals. From preliminary, speculative associations to well characterized biochemical and biological interactions, it is clear that eEF1A, of all the translation factors, has been ascribed the most functions outside of protein synthesis. A mechanistic understanding of these non-canonical functions of eEF1A will shed light on many important biological questions, including viral-host interaction, subcellular organization, and the integration of key cellular pathways.     

The Mitochondrial Genome of the Honeybee Apis Mellifera: Complete Sequence and Genome Organization

The complete sequence of honeybee (Apis mellifera) mitochondrial DNA is reported being 16,343 bp long in the strain sequenced. Relative to their positions in the Drosophila map, 11 of the tRNA genes are in altered positions, but the other genes and regions are in the same relative positions. Comparisons of the predicted protein sequences indicate that the honeybee mitochondrial genetic code is the same as that for Drosophila; but the anticodons of two tRNAs differ between these two insects. The base composition shows extreme bias, being 84.9% AT (cf. 78.6% in Drosophila yakuba). In protein-encoding genes, the AT bias is strongest at the third codon positions (which in some cases lack guanines altogether), and least in second codon positions. Multiple stepwise regression analysis of the predicted products of the protein-encoding genes shows a significant association between the numbers of occurrences of amino acids and %T in codon family, but not with the number of codons per codon family or other parameters associated with codon family base composition. Differences in amino acid abundances are apparent between the predicted Apis and Drosophila proteins, with a relative abundance in the Apis proteins of lysine and a relative deficiency of alanine. Drosophila alanine residues are as often replaced by serine as conserved in Apis. The differences in abundances between Drosophila and Apis are associated with %AT in the codon families, and the degree of divergence in amino acid composition between proteins correlates with the divergence in %AT at the second codon positions. Overall, transversions are about twice as abundant as transitions when comparing Drosophila and Apis protein-encoding genes, but this ratio varies between codon positions. Marked excesses of transitions over chance expectation are seen for the third positions of protein-coding genes and for the gene for the small subunit of ribosomal RNA. For the third codon positions the excess of transitions is adequately explained as due to the restriction of observable substitutions to transitions for conserved amino acids with two-codon families; the excess of transitions over expectation for the small ribosomal subunit suggests that the conservation of nucleotide size is favored by selection.     

Thinking Outside the Synapse: Glycine at Extrasynaptic NMDA Receptors

In this issue, Papouin et?al. show that glycine is the endogenous coagonist for extrasynaptic NMDA receptors (NMDARs), unlike at synapses where the coagonist is d-serine. By enzymatically degrading endogenous glycine, they begin to address the enigmatic physiological and pathological roles for extrasynaptic NMDARs.     

Understanding Spatial Genome Organization:Methods and Insights

The manner by which eukaryotic genomes are packaged into nuclei while maintaining crucial nuclear functions remains one of the fundamental mysteries in biology. Over the last ten years, we have witnessed rapid advances in both microscopic and nucleic acid-based approaches to map genome architecture, and the application of these approaches to the dissection of higher-order chromosomal structures has yielded much new information. It is becoming increasingly clear, for example, that interphase chromosomes form stable, multilevel hierarchical structures. Among them, self-associating domains like so-called topologically associating domains (TADs) appear to be building blocks for large-scale genomic organization. This review describes features of these broadly-defined hierarchical structures, insights into the mechanisms underlying their formation, our current understanding of how interactions in the nuclear space are linked to gene regulation, and important future directions for the field.     

Killer Phenomenon in USTILAGO MAYDIS: The Organization of the Viral Genome

The double-stranded RNA content, the production of inactive killer protein, and the presence of virus-like particles were examined in induced nonkiller mutants and nonkiller progeny from a cross between a killer strain and a sensitive strain. A correlation between the loss of the 0.7 x 10⁶ daltons dsRNA of the Ustilago maydis P6 virus and the lack of synthesis of the killer protein was established. In vitro and in vivo complementation between nonkiller strains provide additional support for the suggestion that the 0.7 x 10⁶ daltons dsRNA is related to the killer function. The coding capacity of the various species of dsRNA is discussed in relation to their possible function.     

Thinking Outside the Euclidean Box: Riemannian Geometry and Inter-Temporal Decision-Making

Inter-temporal decisions involves assigning values to various payoffs occurring at different temporal distances. Past research has used different approaches to study these decisions made by humans and animals. For instance, considering that people discount future payoffs at a constant rate (e.g., exponential discounting) or at variable rate (e.g., hyperbolic discounting). In this research, we question the widely assumed, but seldom questioned, notion across many of the existing approaches that the decision space, where the decision-maker perceives time and monetary payoffs, is a Euclidean space. By relaxing the rigid assumption of Euclidean space, we propose that the decision space is a more flexible Riemannian space of Constant Negative Curvature. We test our proposal by deriving a discount function, which uses the distance in the Negative Curvature space instead of Euclidean temporal distance. The distance function includes both perceived values of time as well as money, unlike past work which has considered just time. By doing so we are able to explain many of the empirical findings in inter-temporal decision-making literature. We provide converging evidence for our proposal by estimating the curvature of the decision space utilizing manifold learning algorithm and showing that the characteristics (i.e., metric properties) of the decision space resembles those of the Negative Curvature space rather than the Euclidean space. We conclude by presenting new theoretical predictions derived from our proposal and implications for how non-normative behavior is defined.     

Genome,Evolution, Drosophila and Beyond: The New Dimensions

A century ago, a little fly with red eyes was first used for genetic studies. That insignificant fly called at that time, Drosophila ampelophila, was going to revolutionize biology while becoming the model we know today as Drosophila melanogaster. Since then, its study has never ceased, but the field of interest has somewhat changed over the century. Drosophila meetings are exceptional opportunities to gather biologists of diverse backgrounds to not only learn about the latest improvements in our field of interest, but also to appreciate learning another bit of biology. From this biological melting pot a culture very specific to the fly community has emerged. Thus, besides neurobiology, cell biology and development a diversity of other fields of research exist, and they all have their own place in the cultural and historical dimension of the "Drosophila" model. Several communications from these diverse fields of research were presented at the 8th Japanese Drosophila Research Conference (JDRC8) and they are briefly reported here.     

Organization of the Euplotes crassus Micronuclear Genome1

Euplotes crassus, like other hypotrichous ciliated protozoa, eliminates most of its micronuclear chromosomal DNA in the process of forming the small linear DNA molecules that comprise the macronuclear genome. By characterizing randomly selected lambda phage clones of E. crassus micronuclear DNA, we have determined the distribution of repetitive and unique sequences and the arrangement of macronuclear genes relative to eliminated DNA. This allows us to compare the E. crassus micronuclear genome organization to that of another distantly related hypotrichous ciliate, Oxytricha nova. The clones from E. crassus segregate into three prevalent classes: those containing primarily eliminated repetitive DNA (Class I); those containing macronuclear genes in addition to repetitive sequences (Class II); and those containing only eliminated unique sequence DNA (Class III). All of the repetitive sequences in these clones belong to the same highly abundant repetitive element family. Our results demonstrate that the sequence organization of the E. crassus and O. nova micronuclear genomes is related in that the macronuclear genes are clustered together in the micronuclear genome and the eliminated unique sequences occur in long stretches that are uninterrupted by repetitive sequences. In both organisms a single repetitive element family comprises the majority of the eliminated interspersed middle repetitive DNA and appears to be preferentially associated with the macronuclear sequence clusters. The similarities in the sequence organization in these two organisms suggest that clustering of macronuclear genes plays a role in the chromosome fragmentation process.     

Thermodynamic Pathways to Genome Spatial Organization in the Cell Nucleus

The architecture of the eukaryotic genome is characterized by a high degree of spatial organization. Chromosomes occupy preferred territories correlated to their state of activity and, yet, displace their genes to interact with remote sites in complex patterns requiring the orchestration of a huge number of DNA loci and molecular regulators. Far from random, this organization serves crucial functional purposes, but its governing principles remain elusive. By computer simulations of a statistical mechanics model, we show how architectural patterns spontaneously arise from the physical interaction between soluble binding molecules and chromosomes via collective thermodynamics mechanisms. Chromosomes colocalize, loops and territories form, and find their relative positions as stable thermodynamic states. These are selected by thermodynamic switches, which are regulated by concentrations/affinity of soluble mediators and by number/location of their attachment sites along chromosomes. Our thermodynamic switch model of nuclear architecture, thus, explains on quantitative grounds how well-known cell strategies of upregulation of DNA binding proteins or modification of chromatin structure can dynamically shape the organization of the nucleus.     

Germline Expression Influences Operon Organization in the Caenorhabditis elegans Genome

Operons are found across multiple kingdoms and phyla, from prokaryotes to chordates. In the nematode Caenorhabditis elegans, the genome contains >1000 operons that compose ~15% of the protein-coding genes. However, determination of the force(s) promoting the origin and maintenance of operons in C. elegans has proved elusive. Compared to bacterial operons, genes within a C. elegans operon often show poor coexpression and only sometimes encode proteins with related functions. Using analysis of microarray and large-scale in situ hybridization data, we demonstrate that almost all operon-encoded genes are expressed in germline tissue. However, genes expressed during spermatogenesis are excluded from operons. Operons group together along chromosomes in local clusters that also contain monocistronic germline-expressed genes. Additionally, germline expression of genes in operons is largely independent of the molecular function of the encoded proteins. These analyses demonstrate that mechanisms governing germline gene expression influence operon origination and/or maintenance. Thus, gene expression in a specific tissue can have profound effects on the evolution of genome organization.     

Organization and Expression of the Hepatitis Delta Virus Genome

The RNA genome of human hepatitis delta virus (HDV) is an unusual small circular single-stranded species that can fold on itself to form an unbranched rod-like structure. This RNA is replicated in the nucleus by RNA-directed RNA synthesis coupled with RNA processing events. During processing events a subgenomic, polyadenylated RNA that is complementary to the genome and expressed in the cytoplasm as the small form of the delta antigen, a 195-amino-acid protein essential for genome replication is produced. The strategies of RNA virus genome organization and expression are very diverse; those used by HDV seem unique among animal viruses, although there are some distant similarities with those used by some plant pathogens.     

Extensive Heterogeneity and Intrinsic Variation in Spatial Genome Organization

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Differences in Mitochondrial Genome Organization of Cryptococcus Neoformans Strains

The organization of the mitochondrial genomes in two strains belonging in different varieties of Cryptococcus neoformans was analysed. Physical maps of the mtDNA of the IFM5844 (var. neoformans) and IFO410 (var. grubii) strains were constructed by using EcoRI and EcoRV restriction enzymes; functional maps were constructed by hybridization, cloning and sequencing. Most of the genes important in the mitochondrial function (ND1, ND2, ND3, ND4, ND4L, ND5, ND6, ATP6, ATP9, COX1, COX2 and COB) and protein synthesis (SsrRNA and LsrRNA) were localized. We did not find any differences between the strains in the order of these genes. However, they differed significantly in the sizes of the mtDNAs: 32.6 kb for IFM5844, and 24.1 kb for IFO410. This can be attributed to two large regions of the mtDNA. In these regions, differences were found in the numbers of introns in COX1 (no intron in var. grubii, 5 introns in var. neoformans), COB (1 intron in var. grubii, 2 introns in var. neoformans), LsrRNA (no intron in var. grubii, 2 introns in var. neoformans), and ND5 (no intron in var. grubii, 1 intron in var. neoformans) genes. In several introns of the COB and COX1 genes LAGLIDADG motifs were found. Differences were also observed in the nucleotide sequences of some genes and in the sizes and sequences of intergenic regions. The nucleotide sequences of the genes of the IFM and IFO strains were compared with those of the H-99 and JEC 21 strains from the database. Surprisingly high similarities were found between the strains belonging in var. grubii (IFO 410 and H-99) and var. neoformans (IFM 5844 and JEC 21).     

GO4genome: A Prokaryotic Phylogeny Based on Genome Organization

Determining the phylogeny of closely related prokaryotes may fail in an analysis of rRNA or a small set of sequences. Whole-genome phylogeny utilizes the maximally available sample space. For a precise determination of genome similarity, two aspects have to be considered when developing an algorithm of whole-genome phylogeny: (1) gene order conservation is a more precise signal than gene content; and (2) when using sequence similarity, failures in identifying orthologues or the in situ replacement of genes via horizontal gene transfer may give misleading results. GO4genome is a new paradigm, which is based on a detailed analysis of gene function and the location of the respective genes. For characterization of genes, the algorithm uses gene ontology enabling a comparison of function independent of evolutionary relationship. After the identification of locally optimal series of gene functions, their length distribution is utilized to compute a phylogenetic distance. The outcome is a classification of genomes based on metabolic capabilities and their organization. Thus, the impact of effects on genome organization that are not covered by methods of molecular phylogeny can be studied. Genomes of strains belonging to Escherichia coli, Shigella, Streptococcus, Methanosarcina, and Yersinia were analyzed. Differences from the findings of classical methods are discussed. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.