Partitioning of genetic variation across the genome using multimarker methods in a wild bird population

The underlying basis of genetic variation in quantitative traits, in terms of the number of causal variants and the size of their effects, is largely unknown in natural populations. The expectation is that complex quantitative trait variation is attributable to many, possibly interacting, causal variants, whose effects may depend upon the sex, age and the environment in which they are expressed. A recently developed methodology in animal breeding derives a value of relatedness among individuals from high‐density genomic marker data, to estimate additive genetic variance within livestock populations. Here, we adapt and test the effectiveness of these methods to partition genetic variation for complex traits across genomic regions within ecological study populations where individuals have varying degrees of relatedness. We then apply this approach for the first time to a natural population and demonstrate that genetic variation in wing length in the great tit (Parus major) reflects contributions from multiple genomic regions. We show that a polygenic additive mode of gene action best describes the patterns observed, and we find no evidence of dosage compensation for the sex chromosome. Our results suggest that most of the genomic regions that influence wing length have the same effects in both sexes. We found a limited amount of genetic variance in males that is attributed to regions that have no effects in females, which could facilitate the sexual dimorphism observed for this trait. Although this exploratory work focuses on one complex trait, the methodology is generally applicable to any trait for any laboratory or wild population, paving the way for investigating sex‐, age‐ and environment‐specific genetic effects and thus the underlying genetic architecture of phenotype in biological study systems.     

Investigation of cytocrom c oxidase gene subunits expression on the Multiple sclerosis

INTRODUCTION:

Multiple sclerosis (MS) is an autoimmune inflamatory disease, which affects the (Central Nervous System) and leads to the destruction of myelin and atrophy of the axons. Genetic factors, in addition to environmental ones, seem to play a role in MS. Numerous studies have reported mitochondrial defects including a reduction in cytochrome c oxidase (COX) complex function related to the reduction of mitochondrial genes expression in the cortex tissue of patients with MS have been reported.

MATERIALS AND METHODS:

This study aimed to assess COX5B and COX2 genes expression in MS patients and compare it with normal subjects. We determine expression levels of genes COX5B and COX2, and also gene reference ß-actine using real–time polymerase chain reaction (RT-PCR) method. Data were obtained and obtained and standardized with the gene reference and were analyzed using independent sample t-test with SPSS and Excel programs.

RESULT AND DISCUSSION:

The resultshowed COX5B gene expression reduced significant in MS patients compared to normal subjects (P < −0.05) whereas, there was no significant difference in the COX2 gene expression between normal subjects and patients. Thus, it can be claimed that down-regulation of mitochondrial electron transport chain genes supported the hypothesis that hypoxia-like tissue injury in MS may be due to mitochondrial genes, different expression impairment.     

辽宁老秃顶子自然保护区植物区系多样性

通过野外实地调查,利用植物区系谱、多样性指数、相关分析和聚类模型等方法,对辽宁老秃顶子植物区系多样性进行量化分析,揭示山地生物多样性特点、规律以及与周边植被生态的关系。结果表明:(1)辽宁老秃顶子自然保护区种子植物种类组成丰富,共有野生种子植物123科429属1 006种,且优势科现象明显,单种属和少种属占比率较高,表现出一定古老残遗性。（2）老秃顶子自然保护区植物种的区系分布型多样,区系组成复杂,来源较广泛,具有一定古老性,但植物特有现象不明显,以温带性质分布种为主,符合暖温带北部的华北植物区系特点。(3)老秃顶子山与相邻9个山地比较,植物区系Shannon-Wiener指数差异明显(1.736～2.259),其中庐山和徂徕山的Shannon-Wiener指数较高,而白石砬子和长白山的较低;10个山地的Simpson指数差异不显著(0.711 4～0.871 5)。(4)相关性分析显示,10个不同山地植物区系之间的相似程度显著,相关系数达0.617～0.995;聚类分析显示,老秃顶子山与千山、凤凰山的植物区系关系较近。本研究结果支持老秃顶子山、千山和凤凰山共同划归华北植物区系的观点,认为把老秃顶子山保护区植物区系划归于华北山地植物亚地区较为合理。     

A Comparison of the Unfolded Protein Response in Solid-State with Submerged Cultures of Aspergillus oryzae

The unfolded protein response (UPR) is a regulatory system to maintain the homeostasis of ER functions. Here we report a comparison of express levels of UPR relevant genes in Aspergillus oryzae between solid-state and submerged cultivation. The results were that up-regulation of the UPR mechanism in solid-state culture was higher than in submerged culture (heat-shock or non-stress conditions). This might have been a result of changing culture conditions.     

从猕猴肝脏组织扩增黄嘌呤脱氢酶／氧化酶基因片段

RT-PCR扩增猕猴黄嘌呤脱氢酶／氧化酶（XDH／XO）基因片段,为进一步开展相关研究提供实验资料。方法提取猕猴新鲜肝脏组织总RNA,用RT-PCR二步法进行XDH／XO基因片段扩增,对获得的目的片段进行序列测定,与GenBank上发表的人类（Homosapiens）、小鼠（Musmusculus）、家鼠（Rattusnorvegicus）、野猪（Susscrofa）等物种XDH／XO基因进行该序列同源性比对分析,DNAMAN软件预测该段核苷酸的氨基酸序列,Inter-ProScan及SWISS-MODEL工具进行XDH／XO的编码蛋白结构域及功能预测及三维结构构建。结果RT-PCR产物电泳检测得到了与设计大小相一致的目的条带,序列测定共测到683个核苷酸,DNAMAN软件预测该段核苷酸的氨基酸序列包括了1个编码53个氨基酸的开放阅读框（ORF）,通过该软件包中Multiplealignment对目的基因片段的核苷酸序列与NCBI报道的人类、小鼠、家鼠、野猪XDH／XO基因mRNA互补的cDNA核苷酸序列同源性进行同源性比较分析,结果显示所扩增得到的目的片段与人类同源性最高,为95．6％,与小鼠、家鼠、野猪的同源性分别为85．2％、84．3％、86．1％,说明获得的基因片段是猕猴的XDH／XO基因片段,且该基因在物种间具有较高的相似性。生物信息学预测该段XDH／XO编码蛋白含有醛氧化／脱氢酶的钼喋呤结合点结构域及黄嘌呤脱氢酶结构域。结论在体外成功扩增出猕猴XDH／XO基因片段,为进一步开展高尿酸血症致病机理研究,抗高尿酸血症新药研发奠定工作基础。     

Induction of systemic resistance against Fusarium crown and root rot disease by blast processing

The effect of fan-forced wind on the severity and growth of Fusarium oxysporum f. sp. radicis-lycopersici (FORL) was examined in this study. The discoloration severity of the total root system was significantly reduced in plants treated with air blasting for 30?min at a wind speed of 4?m/s compared with the control. In addition, the number of colony-forming units of FORL per gram of fresh root weight was significantly reduced (p?≤?0.05) in plants treated with air blasting at a wind speed of 4?m/s for 30?min, and the root extracts of these plants had a significantly lower production of FORL budding cells. Booster wind treatments significantly reduced the severity and growth of FORL compared with single and control treatments. Furthermore, RT-PCR analysis indicated that the expression of defense-related genes was induced in the leaves of seedlings treated with air blasting at a wind speed of 4?m/s.     

Insights from quantitative metaproteomics and protein-stable isotope probing into microbial ecology

The recent development of metaproteomics has enabled the direct identification and quantification of expressed proteins from microbial communities in situ, without the need for microbial enrichment. This became possible by (1) significant increases in quality and quantity of metagenome data and by improvements of (2) accuracy and (3) sensitivity of modern mass spectrometers (MS). The identification of physiologically relevant enzymes can help to understand the role of specific species within a community or an ecological niche. Beside identification, relative and absolute quantitation is also crucial. We will review label-free and label-based methods of quantitation in MS-based proteome analysis and the contribution of quantitative proteome data to microbial ecology. Additionally, approaches of protein-based stable isotope probing (protein-SIP) for deciphering community structures are reviewed. Information on the species-specific metabolic activity can be obtained when substrates or nutrients are labeled with stable isotopes in a protein-SIP approach. The stable isotopes (¹³C, ¹⁵N, ³⁶S) are incorporated into proteins and the rate of incorporation can be used for assessing the metabolic activity of the corresponding species. We will focus on the relevance of the metabolic and phylogenetic information retrieved with protein-SIP studies and for detecting and quantifying the carbon flux within microbial consortia. Furthermore, the combination of protein-SIP with established tools in microbial ecology such as other stable isotope probing techniques are discussed.