Extensive pyrosequencing reveals frequent intra-genomic variations of internal transcribed spacer regions of nuclear ribosomal DNA

Background

Internal transcribed spacer of nuclear ribosomal DNA (nrDNA) is already one of the most popular phylogenetic and DNA barcoding markers. However, the existence of its multiple copies has complicated such usage and a detailed characterization of intra-genomic variations is critical to address such concerns.

Methodology/Principal Findings

In this study, we used sequence-tagged pyrosequencing and genome-wide analyses to characterize intra-genomic variations of internal transcribed spacer 2 (ITS2) regions from 178 plant species. We discovered that mutation of ITS2 is frequent, with a mean of 35 variants per species. And on average, three of the most abundant variants make up 91% of all ITS2 copies. Moreover, we found different congeneric species share identical variants in 13 genera. Interestingly, different species across different genera also share identical variants. In particular, one minor variant of ITS2 in Eleutherococcus giraldii was found identical to the ITS2 major variant of Panax ginseng, both from Araliaceae family. In addition, DNA barcoding gap analysis showed that the intra-genomic distances were markedly smaller than those of the intra-specific or inter-specific variants. When each of 5543 variants were examined for its species discrimination efficiency, a 97% success rate was obtained at the species level.

Conclusions

Identification of identical ITS2 variants across intra-generic or inter-generic species revealed complex species evolutionary history, possibly, horizontal gene transfer and ancestral hybridization. Although intra-genomic multiple variants are frequently found within each genome, the usage of the major variants alone is sufficient for phylogeny construction and species determination in most cases. Furthermore, the inclusion of minor variants further improves the resolution of species identification.     

Distribution and characterization of simple sequence repeats in Gossypium raimondii genome

Simple sequence repeats (SSRs) can be derived from the complete genome sequence. These markers are important for gene mapping as well as marker-assisted selection (MAS). To develop SSRs for cotton gene mapping, we selected the complete genome sequence of Gossypium raimondii, which consisted of 4447 non-redundant scaffolds. Out of 775.2 Mb sequence examined, a total of 136,345 microsatellites were identified with a density of 5.69 kb per SSR in the G. raimondii genome leading to development of 112,177 primer pairs. The distributions of SSRs in the genome were non-random. Among the different motifs ranging from 1 to 6 bp, penta-nucleotide repeats were most abundant (30.5%), followed by tetra-nucleotide repeats (18.2%) and di-nucleotide repeats (16.9%). Among all identified 457 motif types, the most frequently occurring repeat motifs were poly-AT/TA, which accounted for 79.8% of the total di-nt SSRs, followed by AAAT/TTTA with 51.5% of the total tetra-nucleotede. Further, 18,834 microsatellites were detected from the protein-coding genes, and the frequency of gene containing SSRs was 46.0% in 40,976 genes of G. raimondii. These genome-based SSRs developed in the present study will lay the groundwork for developing large numbers of SSR markers for genetic mapping, gene discovery, genetic diversity analysis, and MAS breeding in cotton.     

转Bar基因甘蓝型油菜叶片蛋白质组变化的初步分析

采取SDS-PAGE与MALDI-TOF-MS联用的方法,对抗除草剂转Bar基因T1代甘蓝型油菜与普通栽培油菜的叶片蛋白质组进行比较性研究,获得差异蛋白质组的重要信息,并初步探讨差异蛋白的主要功能,以期找到与转Bar基因油菜抗除草剂有关的蛋白质,揭示其抗性机理.双向电泳表达图谱研究表明,Bar基因的转入使得转基因油菜中的差异蛋白表达质与量发生了显著变化,共得到16个发生差异表达的蛋白质点,其中11个经质谱分析功能得到鉴定,这些鉴定出的蛋白质涉及多个生理过程,如能量与代谢、信号转导、代谢相关蛋白离子转运和防御应答等.     

Safety and immunogenicity of an MF59™-adjuvanted subunit influenza vaccine in elderly Chinese subjects

Background

The safety and immunogenicity of an MF59?-adjuvanted subunit influenza vaccine (Sub/MF59?; FLUAD^®, Novartis Vaccines) was evaluated among elderly Chinese subjects (≥ 60 years of age). After a preliminary Phase I, open-label study (n = 25) to assess safety 1–14 days post-vaccination, a comparative observer-blind, randomised, controlled clinical trial (n = 600) was performed to assess safety and immunogenicity versus a non-adjuvanted subunit influenza vaccine (Subunit; Agrippal^®, Novartis Vaccines). Subjects were randomised (2:1) to receive Sub/MF59? or Subunit.

Results

Both vaccines were well tolerated, with no vaccine-related serious adverse events reported during the Phase I trial. During the observer-blind study, local and systemic reactions were generally similar for both vaccines 1–22 days post-vaccination; however, injection-site induration was more frequent among the Subunit group (P < 0.05), and mild pain at the injection site and fever were more frequent among Sub/MF59? recipients (P ≤ 0.005). Both vaccines induced a significant (P < 0.001) increase in geometric mean titres (GMTs) for the three strains tested, versus baseline; GMTs against A/H1N1, A/H3N2 and B were significantly higher in the Sub/MF59? group (P = 0.034, P < 0.001 and P = 0.005, respectively). GMT ratios against A/H1N1, A/H3N2 and B were also significantly higher in the Sub/MF59? group (P = 0.038, P < 0.001 and P = 0.006, respectively). Similarly, the percentage of subjects achieving seroprotection or seroconversion on Day 22 was greater for Sub/MF59? recipients, reaching significance for A/H3N2 (P < 0.001).

Conclusion

MF59?-adjuvanted subunit influenza vaccine is well tolerated by elderly Chinese subjects and induces a higher level of immunogenicity than a non-adjuvanted subunit influenza vaccine in this population that is at high risk of influenza-related complications.

Clinical trial registry

http://www.clinicaltrials.gov, NCT00310648

     

华北旧石器晚期环境变化与人类迁徙扩散

近年来大量考古新发现与研究成果显示,受到地理区位与MIS3阶段以来气候变化双重影响,华北地区的本地文化与新来者持续移动扩散。本地的简单石核-石片技术经过长期发展,并不断与新来者交流融合,演进为以船型细石核技术为特色的华北旧石器晚期文化。来自欧亚大陆西侧的莫斯特与石叶技术,亦对华北地区有显著影响。MIS3阶段,外来影响仅表现为在高纬度地区向东扩散。应对MIS2阶段的环境压力,石叶与楔形细石核技术先后南下。华北地区原住民则可能是通过便于高流动性活动的船型细石核技术等适应方式,更好地维系了生存发展。     

Genomics,molecular imaging,bioinformatics, and bio-nano-info integration are synergistic components of translational medicine and personalized healthcare research

Supported by National Science Foundation (NSF), International Society of Intelligent Biological Medicine (ISIBM), International Journal of Computational Biology and Drug Design and International Journal of Functional Informatics and Personalized Medicine, IEEE 7th Bioinformatics and Bioengineering attracted more than 600 papers and 500 researchers and medical doctors. It was the only synergistic inter/multidisciplinary IEEE conference with 24 Keynote Lectures, 7 Tutorials, 5 Cutting-Edge Research Workshops and 32 Scientific Sessions including 11 Special Research Interest Sessions that were designed dynamically at Harvard in response to the current research trends and advances. The committee was very grateful for the IEEE Plenary Keynote Lectures given by: Dr. A. Keith Dunker (Indiana), Dr. Jun Liu (Harvard), Dr. Brian Athey (Michigan), Dr. Mark Borodovsky (Georgia Tech and President of ISIBM), Dr. Hamid Arabnia (Georgia and Vice-President of ISIBM), Dr. Ruzena Bajcsy (Berkeley and Member of United States National Academy of Engineering and Member of United States Institute of Medicine of the National Academies), Dr. Mary Yang (United States National Institutes of Health and Oak Ridge, DOE), Dr. Chih-Ming Ho (UCLA and Member of United States National Academy of Engineering and Academician of Academia Sinica), Dr. Andy Baxevanis (United States National Institutes of Health), Dr. Arif Ghafoor (Purdue), Dr. John Quackenbush (Harvard), Dr. Eric Jakobsson (UIUC), Dr. Vladimir Uversky (Indiana), Dr. Laura Elnitski (United States National Institutes of Health) and other world-class scientific leaders. The Harvard meeting was a large academic event 100% full-sponsored by IEEE financially and academically. After a rigorous peer-review process, the committee selected 27 high-quality research papers from 600 submissions. The committee is grateful for contributions from keynote speakers Dr. Russ Altman (IEEE BIBM conference keynote lecturer on combining simulation and machine learning to recognize function in 4D), Dr. Mary Qu Yang (IEEE BIBM workshop keynote lecturer on new initiatives of detecting microscopic disease using machine learning and molecular biology, http://ieeexplore.ieee.org/servlet/opac?punumber=4425386) and Dr. Jack Y. Yang (IEEE BIBM workshop keynote lecturer on data mining and knowledge discovery in translational medicine) from the first IEEE Computer Society BioInformatics and BioMedicine (IEEE BIBM) international conference and workshops, November 2-4, 2007, Silicon Valley, California, USA.     

Analyzing adjuvant radiotherapy suggests a non monotonic radio-sensitivity over tumor volumes

Background

Adjuvant Radiotherapy (RT) after surgical removal of tumors proved beneficial in long-term tumor control and treatment planning. For many years, it has been well concluded that radio-sensitivities of tumors upon radiotherapy decrease according to the sizes of tumors and RT models based on Poisson statistics have been used extensively to validate clinical data.

Results

We found that Poisson statistics on RT is actually derived from bacterial cells despite of many validations from clinical data. However cancerous cells do have abnormal cellular communications and use chemical messengers to signal both surrounding normal and cancerous cells to develop new blood vessels and to invade, to metastasis and to overcome intercellular spatial confinements in general. We therefore investigated the cell killing effects on adjuvant RT and found that radio-sensitivity is actually not a monotonic function of volume as it was believed before. We present detailed analysis and explanation to justify above statement. Based on EUD, we present an equivalent radio-sensitivity model.

Conclusion

We conclude that radio sensitivity is a sophisticated function over tumor volumes, since tumor responses upon radio therapy also depend on cellular communications.

     

Small molecules with potent osteogenic-inducing activity in osteoblast cells

A chemical screen of 45,000 compounds from a diverse collection led to the identification of two series of small molecules with potent osteogenic activity in mouse MC3T3-E1 osteoblast cells. The first chemical group was characterized by an amino benzothiazole core (AMG0892 series) and the second group by a naphthyl amide core (AMG0309 series). Using alkaline phosphatase (ALP), osteocalcin (OCL) and calcium as markers of osteoblast differentiation and mineralization, both chemical series showed EC₅₀s in the 0.01–0.2 μM range and were consistent for all three markers. Compounds inhibited cell proliferation, had no effect on apoptosis and showed evidence for CREB pathway activity. The present compounds represent some of the most potent osteogenic small molecules reported to date and provide new tools for elucidating signaling mechanisms in osteoblasts.