匙叶八角中一个新的倍半木脂素

从匙叶八角(Illicium spathulatum)果实中分离得到一个新的倍半新木脂素,通过现代波谱技术确定其结构为7′, 8′-反式-7″, 8″ 顺式-5, 3′,3″-三甲氧基倍半新木脂素。     

Opposing developmental functions of Agrocybe aegerita galectin (AAL) during mycelia differentiation

Mycelia of basidiomycetes differentiating into fruiting body is a controlled developmental process, however the underlying molecular mechanism remains unknown. In previous work, a novel fungal Agrocybe aegerita galectin (AAL) was isolated from A. aegerita in our laboratory. AAL was shown to promote mycelial differentiation in A. aegerita and Auricularia polytricha, indicating that AAL might function as a conserved fruiting initiator during basidiomycete mycelia development. In the current work, we investigate the role of AAL in mycelia differentiation and fruiting body formation. First, the expression and localization of AAL in mycelia, primordium and fruiting body were assessed by Western blotting and immunohistochemistry. AAL was found to be ubiquitously expressed in the primordium and fruiting body but not in the mycelia. AAL facilitated mycelia congregation and promoted fruiting body production when AAL was applied on mycelia. At the same time, when AAL was spread on potato dextrose agar (PDA) medium prior to mycelia inoculation, mycelia exhibited slowed growth rates, resulting in mycelia cords formation and inhibition of fruiting body formation. The 5' regulatory sequence of aal was cloned by 'genome walking'. Here, we show that aal lack introns in the coding region and the upstream 740 bp sequence was characterized by the existence of core promoter elements, which included: two CCAAT boxes (-535/-280), a GC box (-145), a TATA box (-30) and a fungal leader intron within the 5' UTR. The identification of regulatory expression elements may provide an explanation to the stage-specific and high-level expression of aal during fruiting development.     

A Rapid Method for Characterization of Protein Relatedness Using Feature Vectors

We propose a feature vector approach to characterize the variation in large data sets of biological sequences. Each candidate sequence produces a single feature vector constructed with the number and location of amino acids or nucleic acids in the sequence. The feature vector characterizes the distance between the actual sequence and a model of a theoretical sequence based on the binomial and uniform distributions. This method is distinctive in that it does not rely on sequence alignment for determining protein relatedness, allowing the user to visualize the relationships within a set of proteins without making a priori assumptions about those proteins. We apply our method to two large families of proteins: protein kinase C, and globins, including hemoglobins and myoglobins. We interpret the high-dimensional feature vectors using principal components analysis and agglomerative hierarchical clustering. We find that the feature vector retains much of the information about the original sequence. By using principal component analysis to extract information from collections of feature vectors, we are able to quickly identify the nature of variation in a collection of proteins. Where collections are phylogenetically or functionally related, this is easily detected. Hierarchical agglomerative clustering provides a means of constructing cladograms from the feature vector output.     

Viral Envelope Protein 53R Gene Highly Specific Silencing and Iridovirus Resistance in Fish Cells by AmiRNA

Background

Envelope protein 53R was identified from frog Rana grylio virus (RGV), a member of the family Iridoviridae, and it plays an important role in the virus assembly. Although inhibition of iridovirus major capsid protein (MCP) by small hairpin RNAs (shRNAs) has been shown to cause resistance to viral infection in vitro, RNA interference (RNAi) to inhibit aquatic animal virus envelope protein gene product has not been reported.

Methodology

We devised artificial microRNAs (amiRNAs) that target a viral envelope protein gene RGV 53R. By incorporating sequences encoding amiRNAs specific to 53R of RGV into pre-miRNA155 (pSM155) vectors, which use the backbone of natural miR-155 sequence and could intracellularly express 53R-targeted pre-amiRNAs. The pre-amiRNAs could be processed by the RNase III-like enzyme Dicer into 21–25 nt amiRNAs (amiR-53Rs) in fish cell lines. The levels of 53R expression were analyzed through real-time PCR and RGV virions assembly were observed by electronic microscopy in fish cells transfected with or without amiR-53Rs at 72 h of RGV infection.

Conclusion/Significance

The results argue that viral envelope protein RGV 53R can be silenced and the virions assembly was deficient by amiR-53R-1, and further identified the first amiRNA of envelope protein gene from iridovirus that was able to cause resistance to virus infection in fish cells. The data demonstrate that the viral infection is efficiently suppressed (58%) by amiR-53R-1 targeting positon 36–57 of RGV 53R. Moreover, electron microscopic observations revealed virion assembly defect or reduced virions assembly capacity was closely correlated to expression of amiR-53R-1. Based on real time PCR of the Mx gene, we found no evidence of activation of IFN by amiR-53R-1.     

Effects of GCK,GCKR, G6PC2 and MTNR1B Variants on Glucose Metabolism and Insulin Secretion

Background

Single nucleotide polymorphisms (SNPs) from GCK, GCKR, G6PC2 and MTNR1B were found to modulate the fasting glucose levels. The current study aimed to replicate this association in the Chinese population and further analyze their effects on biphasic insulin secretion.

Methods/Principal Findings

SNPs from GCK, GCKR, G6PC2 and MTNR1B were genotyped in the Shanghai Chinese, including 3,410 type 2 diabetes patients and 3,412 controls. The controls were extensively phenotyped for the traits related to glucose metabolism and insulin secretion. We replicated the association between GCK rs1799884, G6PC2 rs16856187 and MTNR1B rs10830963 and fasting glucose in our samples (p = 0.0003∼2.0×10⁻⁸). GCK rs1799884 and G6PC2 rs16856187 showed association to HOMA-β, insulinogenic index and both first- and second-phases insulin secretion (p = 0.0030∼0.0396). MTNR1B rs10830963 was associated to HOMA-β, insulinogenic index and first-phase insulin secretion (p = 0.0102∼0.0426), but not second-phase insulin secretion (p = 0.9933). Combined effect analyses showed individuals carrying more risk allele for high fasting glucose tended to have a higher glucose levels at both fasting and 2 h during OGTTs (p = 1.7×10⁻¹³ and 0.0009, respectively), as well as lower HOMA-β, insulinogenic index and both first- and second-phases insulin secretion (p = 0.0321∼1.1×10⁻⁷).

Conclusions/Significance

We showed that SNPs from GCK, G6PC2 and MTNR1B modulated the fasting glucose levels in the normoglycaemic population while SNPs from G6PC2 and GCKR was associated with type 2 diabetes. Moreover, we found GCK and G6PC2 genetic variants were associated to both first- and second-phases insulin secretion while MTNR1B genetic variant was associated with first-phase insulin secretion, but not second-phase insulin secretion.     

HS-SPME-GC / MS 在大熊猫尿液化学成分检测中的应用

尿液在大熊猫化学通讯过程中具有重要作用。对大熊猫尿液中化学成分的检测是揭示大熊猫尿液中化学物质组成及其功能的关键。本实验通过使用顶空固相微萃取技术(Headspace-solid phase microextraction,HSSPME)对大熊猫尿液样品进行前期处理,继而利用气相色谱- 质谱联用技术(Gas chromatography-mass spectrometry,GC / MS)对大熊猫尿液中化学成分进行检测。共检测到56 个峰,通过在NIST (National Institute of Standards
and Technology)质谱库中进行检索,初步推定出其中的38 种物质。除此之外,还对HS - SPME 萃取头的净化方法进行了探索和改进。结果表明,顶空固相微萃取技术结合气相色谱- 质谱联用技术能够应用于大熊猫尿液中挥发性与半挥发性化合物的检测,并且能够得到较好的实验结果,为揭示大熊猫化学通讯机理提供基础。     

Improvement of γ-decalactone production by stimulating the import of ricinoleic acid and suppressing the degradation of γ-decalactone in Saccharomyces cerevisiae

A number of yeast species can transform ricinoleic acid into γ-decalactone, a high-value compound with fruity aroma, through β-oxidation. This study investigated the effect of l-carnitine on γ-decalactone production by Saccharomyces cerevisiae MF013 to increase the β-oxidation rate. Results showed that l-carnitine shortened the biotransformation period by approximately 10?h and increased γ-decalactone production by 19.5%. γ-Caprolactone, γ-octalactone, and γ-dodecalactone were separately added to the medium to prevent γ-decalactone degradation by yeast cells at the end of biotransformation. γ-Octalactone competitively inhibited γ-decalactone from binding to lactonase, resulting in an 11% increase in γ-decalactone production. This research proposed an effective approach to improve the γ-decalactone production rate, shorten the biotransformation period, and suppress the γ-decalactone degradation in S. cerevisiae.