Interspecies gene transfer provides soybean resistance to a fungal pathogen

Fungal pathogens pose a major challenge to global crop production. Crop varieties that resist disease present the best defence and offer an alternative to chemical fungicides. Exploiting durable nonhost resistance (NHR) for crop protection often requires identification and transfer of NHR‐linked genes to the target crop. Here, we identify genes associated with NHR of Arabidopsis thaliana to Phakopsora pachyrhizi, the causative agent of the devastating fungal disease called Asian soybean rust. We transfer selected Arabidopsis NHR‐linked genes to the soybean host and discover enhanced resistance to rust disease in some transgenic soybean lines in the greenhouse. Interspecies NHR gene transfer thus presents a promising strategy for genetically engineered control of crop diseases.     

Central insulin‐like growth factor‐1 (IGF‐1) restores whole‐body insulin action in a model of age‐related insulin resistance and IGF‐1 decline

Low insulin‐like growth factor‐1 (IGF‐1) signaling is associated with improved longevity, but is paradoxically linked with several age‐related diseases in humans. Insulin‐like growth factor‐1 has proven to be particularly beneficial to the brain, where it confers protection against features of neuronal and cognitive decline. While aging is characterized by central insulin resistance in the face of hyperinsulinemia, the somatotropic axis markedly declines in older humans. Thus, we hypothesized that increasing IGF‐1 in the brain may prove to be a novel therapeutic alternative to overcome central insulin resistance and restore whole‐body insulin action in aging. Utilizing hyperinsulinemic‐euglycemic clamps, we show that old insulin‐resistant rats with age‐related declines in IGF‐1 level demonstrate markedly improved whole‐body insulin action, when treated with central IGF‐1, as compared to central vehicle or insulin (P < 0.05). Furthermore, central IGF‐1, but not insulin, suppressed hepatic glucose production and increased glucose disposal rates in aging rats (P < 0.05). Taken together, IGF‐1 action in the brain and periphery provides a ‘balance’ between its beneficial and detrimental actions. Therefore, we propose that strategies aimed at ‘tipping the balance’ of IGF‐1 action centrally are the optimal approach to achieve healthy aging and longevity in humans.     

The Remediation of Chromium (VI)-Contaminated Soils Using Microbial Fuel Cells

Chromium (VI) is a priority pollutant in soil and water and poses serious threats to the environment. Microbial fuel cells (MFCs), as a sustainable technology, have been applied to treat heavy-metal-contaminated wastewater. To study MFC application in soil remediation, red clay soil and fluvo-aquic soil were spiked with Cr(VI) and packed into a cathode chamber of MFCs, which were then operated at external resistances of 100 and 1000 Ω for 16 days, with open circuit condition as a control treatment. After the operation, the concentration of dissolved Cr(VI) in supernatant and total Cr(VI) in soil was decreased. Soil type and external resistance significantly affected the current, removal efficiency of Cr(VI), and cathode efficiency. Reducing external resistance improved the removal efficiency. The red soil generated a higher current of MFCs, but showed a lower removal efficiency and cathode efficiency than fluvo-aquic soil, implying that the red soil may contain more electron acceptors that competed with Cr(VI) reduction reaction. Our study demonstrated that MFC-based technology has the potential to remediate Cr(VI)-contaminated soil; the efficiency varied between soil types and can be improved with high current.     

Conjugation is necessary for a bacterial plasmid to survive under protozoan predation

Horizontal gene transfer by conjugative plasmids plays a critical role in the evolution of antibiotic resistance. Interactions between bacteria and other organisms can affect the persistence and spread of conjugative plasmids. Here we show that protozoan predation increased the persistence and spread of the antibiotic resistance plasmid RP4 in populations of the opportunist bacterial pathogen Serratia marcescens. A conjugation-defective mutant plasmid was unable to survive under predation, suggesting that conjugative transfer is required for plasmid persistence under the realistic condition of predation. These results indicate that multi-trophic interactions can affect the maintenance of conjugative plasmids with implications for bacterial evolution and the spread of antibiotic resistance genes.     

Effects of antibiotic resistance alleles on bacterial evolutionary responses to viral parasites

Antibiotic resistance has wide-ranging effects on bacterial phenotypes and evolution. However, the influence of antibiotic resistance on bacterial responses to parasitic viruses remains unclear, despite the ubiquity of such viruses in nature and current interest in therapeutic applications. We experimentally investigated this by exposing various Escherichia coli genotypes, including eight antibiotic-resistant genotypes and a mutator, to different viruses (lytic bacteriophages). Across 960 populations, we measured changes in population density and sensitivity to viruses, and tested whether variation among bacterial genotypes was explained by their relative growth in the absence of parasites, or mutation rate towards phage resistance measured by fluctuation tests for each phage. We found that antibiotic resistance had relatively weak effects on adaptation to phages, although some antibiotic-resistance alleles impeded the evolution of resistance to phages via growth costs. By contrast, a mutator allele, often found in antibiotic-resistant lineages in pathogenic populations, had a relatively large positive effect on phage-resistance evolution and population density under parasitism. This suggests costs of antibiotic resistance may modify the outcome of phage therapy against pathogenic populations previously exposed to antibiotics, but the effects of any co-occurring mutator alleles are likely to be stronger.     

Emerging power of proteomics for delineation of intrinsic tumor subtypes and resistance mechanisms to anti-cancer therapies

Introduction: Despite extreme genetic heterogeneity, tumors often show similar alterations in the expression, stability, and activation of proteins important in oncogenic signaling pathways. Thus, classifying tumor samples according to shared proteomic features may help facilitate the identification of cancer subtypes predictive of therapeutic responses and prognostic for patient outcomes. Meanwhile, understanding mechanisms of intrinsic and acquired resistance to anti-cancer therapies at the protein level may prove crucial to devising reversal strategies.

Areas covered: Herein, we review recent advances in quantitative proteomic technology and their applications in studies to identify intrinsic tumor subtypes of various tumors, to illuminate mechanistic aspects of pharmacological and oncogenic adaptations, and to highlight interaction targets for anti-cancer compounds and cancer-addicted proteins.

Expert commentary: Quantitative proteomic technologies are being successfully employed to classify tumor samples into distinct intrinsic subtypes, to improve existing DNA/RNA based classification methods, and to evaluate the activation status of key signaling pathways.     

Mass spectrometry applications in microbiology beyond microbe identification: progress and potential

Introduction: Mass spectrometry (MS), particularly MALDI-time of flight (MALDI-TOF), has become a routine tool for microorganism identification in clinical microbiology laboratories in the last five years. The use of MALDI-TOF MS has accelerated laboratory analysis, thus providing accurate species-level information with very short turnaround times.

Areas covered: Beyond microbe identification, MALDI-TOF MS offers great opportunities for fast strain typing and detection of antimicrobial susceptibility/resistance in both bacterial and fungal organisms. Drawing on evidence from PubMed literature searches, clinical microbiology laboratory experience, and the authors’ opinions, this review summarizes recent significant advances and ongoing challenges in these areas.

Expert commentary: In the near future, it is expected that the implementation of new analytical algorithms, automation of procedures, and refinement of assays will enhance the clinical and epidemiological usefulness of MALDI-TOF and other MS technologies.     

小鼠IL-27真核表达载体的构建及其在RAW264.7 细胞中的表达

目的:构建小鼠白介素27(Interleukin 27,IL-27)单链融合基因的真核表达载体并检验其在RAW264.7细胞中的表达情况。方法:提取小鼠脾细胞总RNA,通过RT-PCR扩增出小鼠EBI3和p28 c DNA。采用重叠延伸PCR(splicing by overlap extension PCR,SOE PCR)通过编码疏水性多肽接头(Gly4Ser)3的DNA序列连接小鼠EBI3和p28基因片段,构建小鼠IL-27单链融合基因(mouse single chain IL-27,msc IL-27),并将其克隆至pc DNA3.1(+)载体。通过酶切和测序鉴定阳性重组载体,将重组质粒pc DNA3.1-IL-27通过脂质体转染法转染小鼠巨噬细胞株RAW264.7,通过RT-PCR方法检测目的基因的表达。结果:测序分析表明,小鼠IL-27单链融合基因中EBI3、linker和p28的连接顺序、方向及碱基序列与预期相符。在转染后的RAW264.7细胞中检测到了小鼠IL-27 m RNA的表达。结论:成功构建了小鼠IL-27单链融合基因及其真核表达载体,并在RAW264.7细胞中实现表达,为进一步探讨IL-27的生物学功能奠定了基础。     

汉族和维吾尔族乙型肝炎病毒耐药基因的相关临床研究

目的:利用基因芯片技术研究伊犁地区汉、维两个民族乙型肝炎病毒(HBV)耐药基因的差异性。方法:收集2014年1月-2015年12月我院收治的汉族及维吾尔族(以下简称"维族")慢性HBV感染患者各50例,患者均经基因芯片技术筛选确诊存在天然HBV耐药基因(耐核苷酸类药物),观察HBV耐药基因分型特点及对核苷酸类药物的耐药突变位点的情况。结果:汉族HBV感染患者的耐药基因型集中于B、C型,且以C型为主,而维族以D型为主,两组各基因型比较,差异均有统计学意义(P0.05)。汉族患者在rt204位点变异明显,而维族在rtn236t、rta181v/t+rtn236t位点变异明显,差异均有统计学意义(P0.05)。结论:在新疆伊犁地区天然HBV病毒耐药基因患者中,汉族及维族耐药基因分型及耐药基因突变位点均存在显著差异,临床可通过基因芯片技术筛选变异靶点,选择合适的敏感药物。