狭域还是广域：杂色山雀和 大山雀行为特征比较

动物行为是个体与社群适应内外环境变化（刺激）所作出的动态反应。动物的行为特征对其适合度以及进化有着重要意义,但关于鸟类行为特征对扩散以及分布的研究还较少,本文以杂色山雀（Sittiparus varius）和大山雀（Parus cinereus）这两种生活史策略相似、分布范围差异显著的雀形目鸟类为例,采用经典新环境测试法对两物种探索性、活跃性、冒险性三种行为进行比较。Mann-Whitney U-test结果显示,大山雀的探索性（Z =﹣2.582,P < 0.01）、活跃性（Z =﹣5.148,P < 0.001）、冒险性（Z =﹣2.046,P < 0.05）得分均显著高于杂色山雀,证明广域分布的大山雀探索性、活跃性及冒险性明显强于狭域分布的杂色山雀。我们由此猜想鸟类行为特征可能会与种群的分布范围相关;通过对鸟类行为特征的探究或许可以间接预测种群未来的发展方向,为种群的保护提供指导。     

The AprX protein of Pseudomonas aeruginosa: a new substrate for the Apr type I secretion system

Protein secretion in Pseudomonas aeruginosa involves different mechanisms. The type II and type III secretory pathways control the extracellular release of a wide range of substrates. The type I secretion process, or ABC transporter, was believed to be exclusively involved in alkaline protease secretion. Recently, it was discovered that a P. aeruginosa heme binding protein, HasAp, is also secreted by a type I process. We present here the identification of a third putative type I-dependent protein of P. aeruginosa, AprX. The function of this protein has not yet been elucidated but very interestingly it appears to be linked to the apr cluster, and organized in one single operon together with the aprD, -E and -F genes.     

Combining Untargeted and Targeted Proteomic Strategies for Discrimination and Quantification of Cashmere Fibers

Cashmere is regarded as a specialty and luxury fiber due to its scarcity and high economic value. For fiber quality assessment, it is technically very challenging to distinguish and quantify the cashmere fiber from yak or wool fibers because of their highly similar physical appearance and substantial protein sequence homology. To address this issue, we propose a workflow combining untargeted and targeted proteomics strategies for selecting, verifying and quantifying biomarkers for cashmere textile authentication. Untargeted proteomic surveys were first applied to identify 174, 157, and 156 proteins from cashmere, wool and yak fibers, respectively. After marker selection at different levels, peptides turned out to afford much higher selectivity than proteins for fiber species discrimination. Subsequently, parallel reaction monitoring (PRM) methods were developed for ten selected peptide markers. The PRM-based targeted analysis of peptide markers enabled accurate determination of fiber species and cashmere percentages in different fiber mixtures. Furthermore, collective use of these peptide makers allowed us to discriminate and quantify cashmere fibers in commercial finished fabrics that have undergone heavy chemical treatments. Cashmere proportion measurement in fabric samples using our proteomic approach was in good agreement with results from traditional light microscopy, yet our method can be more readily standardized to become an objective and robust assay for assessing authenticity of fibers and textiles. We anticipate that the proteomic strategies presented in our study could be further implicated in discovery of quality trait markers for other products containing highly homologous proteomes.     

Ribosome reactivation by replacement of damaged proteins

Ribosomal functions are vital for all organisms. Bacterial ribosomes are stable 2.4 MDa particles composed of three RNAs and over 50 different proteins. Accumulating damage to ribosomal RNA or proteins can disturb ribosome functioning. Organisms could benefit from degrading or possibly repairing inactive or partially active ribosomes. Reactivation of chemically damaged ribosomes by a process of protein replacement was studied in vitro. Ribosomes were inactivated by chemical modification of Cys residues. Incubation of modified ribosomes with total ribosomal proteins led to reactivation of translational activity. Intriguingly, ribosomal proteins extracted by LiCl are equally active in the restoration of ribosome function. Incubation of 70S ribosomes with isotopically labelled r‐proteins followed by separation of ribosomes was used to identify exchangeable proteins. A similar set of proteins was found to be exchanged in vivo under stress conditions in the stationary phase. We propose that repair of damaged ribosomes might be an important mechanism for maintaining protein synthesis activity following chemical damage.     

A yeast's eye view of mammalian reproduction: cross-species gene co-expression in meiotic prophase

Background  

Meiotic prophase is a critical stage in sexual reproduction. Aberrant chromosome recombination during this stage is a leading cause of human miscarriages and birth defects. However, due to the experimental intractability of mammalian gonads, only a very limited number of meiotic genes have been characterized. Here we aim to identify novel meiotic genes important in human reproduction through computational mining of cross-species and cross-sex time-series expression data from budding yeast, mouse postnatal testis, mouse embryonic ovary, and human fetal ovary.     

Collapsin Response Mediator Protein 5 (CRMP5) Induces Mitophagy,Thereby Regulating Mitochondrion Numbers in Dendrites

Degradation of damaged mitochondria by mitophagy is an essential process to ensure cell homeostasis. Because neurons, which have a high energy demand, are particularly dependent on the mitochondrial dynamics, mitophagy represents a key mechanism to ensure correct neuronal function. Collapsin response mediator proteins 5 (CRMP5) belongs to a family of cytosolic proteins involved in axon guidance and neurite outgrowth signaling during neural development. CRMP5, which is highly expressed during brain development, plays an important role in the regulation of neuronal polarity by inhibiting dendrite outgrowth at early developmental stages. Here, we demonstrated that CRMP5 was present in vivo in brain mitochondria and is targeted to the inner mitochondrial membrane. The mitochondrial localization of CRMP5 induced mitophagy. CRMP5 overexpression triggered a drastic change in mitochondrial morphology, increased the number of lysosomes and double membrane vesicles termed autophagosomes, and enhanced the occurrence of microtubule-associated protein 1 light chain 3 (LC3) at the mitochondrial level. Moreover, the lipidated form of LC3, LC3-II, which triggers autophagy by insertion into autophagosomes, enhanced mitophagy initiation. Lysosomal marker translocates at the mitochondrial level, suggesting autophagosome-lysosome fusion, and induced the reduction of mitochondrial content via lysosomal degradation. We show that during early developmental stages the strong expression of endogenous CRMP5, which inhibits dendrite growth, correlated with a decrease of mitochondrial content. In contrast, the knockdown or a decrease of CRMP5 expression at later stages enhanced mitochondrion numbers in cultured neurons, suggesting that CRMP5 modulated these numbers. Our study elucidates a novel regulatory mechanism that utilizes CRMP5-induced mitophagy to orchestrate proper dendrite outgrowth and neuronal function.     

左侧视网膜剥夺鸽左前脑差异表达基因全长cDNA的克隆

利用cDNA末端快速扩增 (RACE)技术克隆了一条由左侧视网膜剥夺造成左前脑差异表达EST片段的全长cDNA序列 ,同源性比较后认定 ,其为鸽e(r)基因 .该基因与人类及斑马鱼等脊椎动物e(r)基因的同源性非常高 ,但C端有明显差异 .RNA斑点杂交、逆转录聚合酶链反应 (RT PCR)及Northern印迹等方法检测 ,该基因在不同组织中表达量有差异 .结果表明 ,鸽e(r)基因在左眼视网膜剥夺鸽的左前脑及肝、肾中的表达量较高 ,该基因的表达具有一定的组织表达特异性 .     

Rhizome dynamics and resource storage in Phragmites australis

Seasonal changes in rhizome concentrations of total nonstructural carbohydrates (TNC), water soluble carbohydrates (WSC), and mineral nutrients (N, P and K) were monitored in two Phragmites australis stands in southern Sweden. Rhizome biomass, rhizome length per unit ground area, and specific weight (weight/ length ratio) of the rhizomes were monitored in one of the stands.Rhizome biomass decreased during spring, increased during summer and decreased during winter. However, changes in spring and summer were small (< 500 g DW m-2) compared to the mean rhizome biomass (approximately 3000 g DW m^–2). Winter losses were larger, approximately 1000 g DW m-2, and to a substantial extent involved structural biomass, indicating rhizome mortality. Seasonal changes in rhizome length per unit ground area revealed a rhizome mortality of about 30% during the winter period, and also indicated that an intensive period of formation of new rhizomes occurred in June.Rhizome concentrations of TNC and WSC decreased during the spring, when carbohydrates were translocated to support shoot growth. However, rhizome standing stock of TNC remained large (> 1000 g m^–2). Concentrations and standing stocks of mineral nutrients decreased during spring/ early summer and increased during summer/ fall. Only N, however, showed a pattern consistent with a spring depletion caused by translocation to shoots. This pattern indicates sufficient root uptake of P and K to support spring growth, and supports other evidence that N is generally the limiting mineral nutrient for Phragmites.The biomass data, as well as increased rhizome specific weight and TNC concentrations, clearly suggests that reloading of rhizomes with energy reserves starts in June, not towards the end of the growing season as has been suggested previously. This resource allocation strategy of Phragmites has consequences for vegetation management.Our data indicate that carbohydrate reserves are much larger than needed to support spring growth. We propose that large stores are needed to ensure establishment of spring shoots when deep water or stochastic environmental events, such as high rhizome mortality in winter or loss of spring shoots due to late season frost, increase the demand for reserves.     

Predicting housekeeping genes based on Fourier analysis

Housekeeping genes (HKGs) generally have fundamental functions in basic biochemical processes in organisms, and usually have relatively steady expression levels across various tissues. They play an important role in the normalization of microarray technology. Using Fourier analysis we transformed gene expression time-series from a Hela cell cycle gene expression dataset into Fourier spectra, and designed an effective computational method for discriminating between HKGs and non-HKGs using the support vector machine (SVM) supervised learning algorithm which can extract significant features of the spectra, providing a basis for identifying specific gene expression patterns. Using our method we identified 510 human HKGs, and then validated them by comparison with two independent sets of tissue expression profiles. Results showed that our predicted HKG set is more reliable than three previously identified sets of HKGs.