甘草质膜水通道蛋白GuPIP1对甘油的转运

旨在进行甘草质膜水通道蛋白GuPIP1对水和溶质通透性的鉴定.将GuPIP1全长编码区的cDNA构入非洲爪蟾卵母细胞检测系统的表达栽体psp64 Poly(A),并将体外转录获得GuPI1的cRNA显微注射入卵母细胞,使GuPIP1基因在卵母细胞中表达,通过测定卵母细胞对水和溶质的转运功能来鉴定GuPIP1的转运功能.结果表明,GuPIP1在异源表达系统非洲爪蟾卵母细胞中具水和甘油通透性,但不能转运尿素,为探讨GuPIP1在植株生理中的作用奠定基础.     

Identification and characterization of a functional Candida albicans homolog of the Saccharomyces cerevisiae TCO89 gene

As one of the components of target of rapamycin complex 1 (TORC1), ScTco89p is involved in rapamycin sensitivity and cellular integrity in Saccharomyces cerevisiae. Here we provide evidence showing that deletion of ScTCO89 causes yeast cells to be hypersensitive to salt stress in a high osmolarity glycerol pathway-independent fashion. In addition, we have identified and characterized a functional Candida albicans homolog (CaTCO89) of ScTCO89, which encodes a protein of 708 amino acids that shows overall 15% identity with ScTco89p at the amino acid level. However, CaTCO89 could complement the functions of ScTCO89 in rapamycin sensitivity, salt tolerance, and cellular integrity. Candida albicans cells disrupted for CaTCO89 are also sensitive to rapamycin and lithium salt, but not susceptible to challenges to cellular integrity.     

不同品种、不同花期的依兰花精油成分研究

为探讨依兰花精油的香气质量,我们对云南省西双版纳产依兰花精油以及引种栽培于西双版纳的泰国种、老挝种的依兰花精油的化学成分在Finnigan-4510 GC/MS/DS上用毛细管柱进行了定性和定量分析,鉴定了44个化学成分。分析结果表明,依兰油的香气与品种及精油中的酯类、醇类和酚醚的含量有关。倍半萜烯类和倍半萜醇类的含量越高,其香气质量越差。就西双版纳产依兰油的香气而言,依兰花由青转黄时得到的精油远较绿花和花蕾油为好。     

桔梗的组织培养

桔梗 (ＰｌａｔｙｃｏｄｏｎｇｒａｎｄｉｆｌｏｒｕｍＡ .ＤＣ .)为桔梗科多年生草本植物 ,根供药用 ,有宣肺、祛痰、排脓之功效。用于治疗外感咳嗽 ,咽喉肿痛 ,肺痈吐脓等症[1] 。近年来 ,桔梗成为极具开发前景的一种药食两用经济作物 ,需求量大增 ,野生资源不能满足需要 ,人工栽培问题已有研究[2 ] ,进展也较快。桔梗药材生产主要采用种子或无性繁殖 ,而通过组织培养的方法进行桔梗快繁 ,在 80年代中期少数学者进行过初步研究[3 ,4 ] 。作者拟通过桔梗的离体培养试验 ,优化培养条件 ,为缩短桔梗育苗周期和优良品种快繁提供依据。1　材料…     

OsmiR167a‐targeted auxin response factors modulate tiller angle via fine‐tuning auxin distribution in rice

Rice tiller angle determines plant growth density and further contributes grain production. Although a few genes have been characterized to regulate tiller angle in rice, the molecular mechanism underlying the control of tiller angle via microRNA is poorly understood. Here, we report that rice tiller angle is controlled by OsmiR167a‐targeted auxin response factors OsARF12, OsARF17 and OsARF25. In the overexpression of OsMIR167a plants, the expression of OsARF12, OsARF17 and OsARF25 was severely repressed and displayed larger tiller angle as well as the osarf12/osarf17 and osarf12/ osarf25 plants. In addition, those plants showed compromised abnormal auxin distribution and less sensitive to gravity. We also demonstrate that OsARF12, OsARF17 and OsARF25 function redundantly and might be involved in HSFA2D and LAZY1‐dependent asymmetric auxin distribution pathway to control rice tiller angle. Our results reveal that OsmiR167a represses its targets, OsARF12, OsARF17 and OsARF25, to control rice tiller angle by fine‐tuning auxin asymmetric distribution in shoots.     

Transcriptomic analysis provides insights into candidate genes and molecular pathways involved in growth of Manila clam Ruditapes philippinarum

Functional & Integrative Genomics - Growth is one of the most important traits of aquaculture breeding programs. Understanding the mechanisms underlying growth differences between individuals...     

A Strategy for the Molecular Diagnosis in Hemophilia A in Chinese Population

Hemophilia A is an x-linked recessive inherited bleeding disorder. So far, more than 1,885 disease-causing mutations of factor VIII gene have been identified. Clinic confers a great challenge for the molecular diagnosis. We aim to make a better strategy for the molecular diagnosis in Hemophilia A. First, factor VIII intron 22 inversion and intron 1 inversion mutations were detected using Inversion-PCR and double-tube multiple PCRs. And then, non-inversion mutations were analyzed by denaturing high performance liquid chromatography and/or direct sequencing. Novel mutations were further analyzed the conservation and 3D structures by a B domain deleted crystallographic model and bioinformatics. Finally, we can indirectly confirm the diagnosis by linkage analysis for the patients with the confusing diagnosis by the techniques mentioned above. Eleven patients with the factor VIII Inv 22 were found, and the remaining 16 patients were found with 11 different mutations, of which 3 was novel mutations affecting A1, B domains and splicing site. Moreover, the prenatal diagnosis was performed on 14 fetuses. Ten fetuses were successfully confirmed to be normal, 1 fetus to be a heterozygote with factor VIII c.3275–3276 ins A and 3 fetuses to be hemizygotes with factor VIII Inv 22 mutation.     

Measuring the subgingival microbiota in periodontitis patients: Comparison of the surface layer and the underlying layers

Periodontitis is a major cause of tooth loss in adults that initially results from dental plaque. Subgingival plaque pathogenesis is affected by both community composition and plaque structures, although limited data are available concerning the latter. To bridge this knowledge gap, subgingival plaques were obtained using filter paper (the fourth layer) and curette (the first-third layers) sequentially and the phylogenetic differences between the first–third layers and the fourth layer were characterized by sequencing the V3–V4 regions of 16S rRNA. A total of 11 phyla, 148 genera, and 308 species were obtained by bioinformatic analysis, and no significant differences between the operational taxonomic unit numbers were observed for these groups. In both groups, the most abundant species were Porphyromonas gingivalis and Fusobacterium nucleatum. Actinomyces naeslundii, Streptococcus intermedius, and Prevotella intermedia possessed relatively high proportions in the first–third layers; while in the fourth layer, both traditional pathogens (Treponema denticola and Campylobacter rectus) and novel pathobionts (Eubacterium saphenum, Filifactor alocis, Treponema sp. HOT238) were prominent. Network analysis showed that either of them exhibited a scale-free property and was constructed by two negatively correlated components (the pathogen component and the nonpathogen component), while the synergy in the nonpathogen component was lower in the first–third layers than that in the fourth layer. After merging these two parts into a whole plaque group, the negative/positive correlation ratio increased. With potential connections, the first–third layers and the fourth layer showed characteristic key nodes in bacterial networks.