A presynaptic gain control mechanism fine-tunes olfactory behavior

Early sensory processing can play a critical role in sensing environmental cues. We have investigated the physiological and behavioral function of gain control at the first synapse of olfactory processing in Drosophila. Olfactory receptor neurons (ORNs) express the GABA(B) receptor (GABA(B)R), and its expression expands the dynamic range of ORN synaptic transmission that is preserved in projection neuron responses. Strikingly, each ORN channel has a unique baseline level of GABA(B)R expression. ORNs that sense the aversive odorant CO(2) do not express GABA(B)Rs and do not have significant presynaptic inhibition. In contrast, pheromone-sensing ORNs express a high level of GABA(B)Rs and exhibit strong presynaptic inhibition. Furthermore, pheromone-dependent mate localization is impaired in flies that lack GABA(B)Rs in specific ORNs. These findings indicate that different olfactory receptor channels employ heterogeneous presynaptic gain control as a mechanism to allow an animal's innate behavioral responses to match its ecological needs.     

Aggregation of Dictyostelium discoideum is dependent on myristoylation and membrane localization of the G protein alpha-subunit, G alpha 2.

The heterotrimeric G protein, G2, from the eukaryotic organism Dictyostelium discoideum participates in signal transduction pathways which are essential to Dictyostelium's developmental life cycle. G2 is activated by cell surface cAMP receptors and in turn is required for the activation of a host of effectors, including adenylyl cyclase, guanylyl cyclase, and phospholipase C. Myristoylation of G protein alpha-subunits is known to affect alpha-subunit association with the beta gamma subunits and membrane localization. The putative site for N-terminal myristoylation of G alpha 2 was mutated from Gly to Ala (G2A) and expressed in the g alpha 2-null cell line, MYC2. Transformants expressing G alpha 2-G2A exhibit physiological and biochemical changes from wild-type cells. G alpha 2-G2A expressing cells fail to rescue the aggregation-minus phenotype of MYC2 cells on developmental agar plates. G alpha 2-G2A expressing cells are also not chemotactic to cAMP in a standard drop assay. G alpha 2-WT is found in both the pellet and supernatant fractions following lysis of the cells. G alpha 2-G2A however is found almost exclusively in the lysate supernatant. G alpha 2 is radiolabeled upon incubation of cells in [3H]myristate, while G alpha 2-G2A is not labeled. Examination of activation of the effectors adenylyl cyclase and guanylyl cyclase reveals that G alpha 2-G2A expressing cells partially activate adenylyl cyclase but show no cAMP-stimulation of guanylyl cyclase. The physiological deviations from wild-type can be explained by the variations in effector activation, possibly due to improper localization of the non-myristoylated G alpha 2-G2A to the cytosol.     

香菇的学名及其在当代真菌分类中的位置

本文综述了香菇(Lentinula edodes)的分类历史,确认其在蘑菇目(Agaricales)Tricholomataceae科下的分类地位,并证实了它与多孔菌目(Poriales)Lentinaceae科的Lentinus属没有联系。根据《真菌、地衣汉语学名命名法规》,作者讨论了译为“香菇属”的Lentinus和“小香菇属”的Lentinellus两属的汉语学名问题,提出Lentinus的汉语学名应订正为“韧伞属”,Lentinellus为“螺壳菌属”。香菇所在的Lentinula属的汉语学名建议为“木菇属”。     

Multiple forms of tubulin in the cytoskeletal and flagellar microtubules of polytomella

The alga polytomella contains several organelles composed of microtubules, including four flagella and hundreds of cytoskeletal microtubules. Brown and co-workers have shown (1976. J. Cell Biol. 69:6-125; 1978, Exp. Cell Res. 117: 313-324) that the flagella could be removed and the cytoskeletans dissociated, and that both structures could partially regenerate in the absence of protein synthesis. Because of this, and because both the flagella and the cytoskeletons can be isolated intact, this organism is particularly suitable for studying tubulin heterogeneity and the incorporation of specific tubulins into different microtubule-containing organelles in the same cell. In order to define the different species of tubulin in polytonella cytoplasm, a (35)S- labeled cytoplasmic fraction was subjected to two cycles of assembly and disassembly in the presence of unlabeled brain tubulin. Comparison of the labeled polytomella cytoplasmic tubulin obtained by this procedure with the tubulin of isolated polytomella flagella by two-dimensional gel electrophoresis showed that, whereas the β-tubulin from both cytoplasmic and flagellar tubulin samples comigrated, the two α-tubulins had distinctly different isoelectic points. As a second method of isolating tubulin from the cytoplasm, cells were gently lysed with detergent and intact cytoskeletons obtained. When these cytoskeletons were exposed to cold temperature, the proteins that were released were found to be highly enriched in tubulin; this tubulin, by itself, could be assembled into microtubules in vitro. The predominant α-tubulin of this in vitro- assembled cytoskeletal tubulin corresponded to the major cytoplasmic α-tubulin obtained by coassembly of labeled polytomella cytoplasmic extract with brain tubulin and was quite distinct from the α-tubulin of purified flagella. These results clearly show that two different microtubule-containing organelles from the same cell are composed of distinct tubulins.     

Identification of restriction-fragment-length polymorphisms in genomic DNA of the lesser snow goose (Anser caerulescens caerulescens)

A genomic library of partially EcoRI-digested DNA from the lesser snow goose, Anser caerulescens caerulescens, was constructed in the phage vector Charon 4. Phage containing only unique sequences were identified by screening plaques with 32P-labeled genomic DNA. Restriction-fragment- length polymorphisms (RFLPs) were identified by probing DNA from 11-13 male birds from the breeding colony at La Perouse Bay. Of the 17 probes examined, all detected RFLPs with at least one of EcoRi, HindIII, Msp1, and Taq1. Several of them identified highly variable regions with multiple alleles. These RFLPs are valuable DNA markers that can be used for (1) the examination of DNA variation, relatedness, and genetic distance and (2) assessing paternity and maternity. These data suggest that there are higher levels of variation of DNA sequence in birds than had previously been thought to exist.      

Do Micrognathozoa have micro‐genomes?

Based on the extremely small sizes of their jaw components, I predict that members of the Micrognathozoa will have some of the smallest nuclear genomes of any metazoans or, possibly, even of any free‐living (non‐parasitic) eukaryotes. Micrognathozoan jaws may also be enervated by anucleate neurons. Consistent with the prediction of small genomes, micrognathozoan jaw parts have remarkably small cell nuclei. Identical arguments may apply to other members of the Gnathifera, namely Rotifera and Gnathostomulida. © 2014 The Linnean Society of London, Biological Journal of the Linnean Society, 2014, 112 , 640–644.     

Single cell heterogeneity

Multi-level heterogeneity is a fundamental but underappreciated feature of cancer. Most technical and analytical methods either completely ignore heterogeneity or do not fully account for it, as heterogeneity has been considered noise that needs to be eliminated. We have used single-cell and population-based assays to describe an instability-mediated mechanism where genome heterogeneity drastically affects cell growth and cannot be accurately measured using conventional averages. First, we show that most unstable cancer cell populations exhibit high levels of karyotype heterogeneity, where it is difficult, if not impossible, to karyotypically clone cells. Second, by comparing stable and unstable cell populations, we show that instability-mediated karyotype heterogeneity leads to growth heterogeneity, where outliers dominantly contribute to population growth and exhibit shorter cell cycles. Predictability of population growth is more difficult for heterogeneous cell populations than for homogenous cell populations. Since “outliers” play an important role in cancer evolution, where genome instability is the key feature, averaging methods used to characterize cell populations are misleading. Variances quantify heterogeneity; means (averages) smooth heterogeneity, invariably hiding it. Cell populations of pathological conditions with high genome instability, like cancer, behave differently than karyotypically homogeneous cell populations. Single-cell analysis is thus needed when cells are not genomically identical. Despite increased attention given to single-cell variation mediated heterogeneity of cancer cells, continued use of average-based methods is not only inaccurate but deceptive, as the “average” cancer cell clearly does not exist. Genome-level heterogeneity also may explain population heterogeneity, drug resistance, and cancer evolution.