Spatial distribution,pollution levels,and source identification of heavy metals in wetlands of Suzhou Industrial Park,China

Wetlands Ecology and Management - As one of the earliest national demonstration ecological industrial parks (EIPs) in China, Suzhou Industrial Park (SIP) is developed on the principles of material...     

Interfacial bioconjugation on emulsion droplet for biosensors

Interfacial bioconjugation methods are developed for intact liquid emulsion droplets. Complex emulsion droplets having internal hydrocarbon and fluorocarbon immiscible structured phases maintain a dynamic interface for controlled interfacial reactivity. The internal morphological change after binding to biomolecules is readily visualized and detected by light transmission, which provides a platform for the formation of inexpensive and portable bio-sensing assays for enzymes, antibodies, nucleic acids and carbohydrates.     

Predicting Growth Traits with Genomic Selection Methods in Zhikong Scallop (<Emphasis Type="Italic">Chlamys farreri</Emphasis>)

Selective breeding is a common and effective approach for genetic improvement of aquaculture stocks with parental selection as the key factor. Genomic selection (GS) has been proposed as a promising tool to facilitate selective breeding. Here, we evaluated the predictability of four GS methods in Zhikong scallop (Chlamys farreri) through real dataset analyses of four economical traits (e.g., shell length, shell height, shell width, and whole weight). Our analysis revealed that different GS models exhibited variable performance in prediction accuracy depending on genetic and statistical factors, but non-parametric method, including reproducing kernel Hilbert spaces regression (RKHS) and sparse neural networks (SNN), generally outperformed parametric linear method, such as genomic best linear unbiased prediction (GBLUP) and BayesB. Furthermore, we demonstrated that the predictability relied mainly on the heritability regardless of GS methods. The size of training population and marker density also had considerable effects on the predictive performance. In practice, increasing the training population size could better improve the genomic prediction than raising the marker density. This study is the first to apply non-linear model and neural networks for GS in scallop and should be valuable to help develop strategies for aquaculture breeding programs.     

两种不同根系类型湿地植物的根系生长

实验设计了一个水培系统，利用生活污水培养，对4种“须根型”植物美人蕉、风车草、象草和香根草和4种根茎型植物菖蒲、水鬼蕉、芦苇和水烛的根系生长进行比较研究。该系统由用于盛污水的塑料桶（顶部直径36．5cm，底部直径30．Ocm，高34．5cm）和用于固定植物于水面的泡沫板构成。每桶种植1株植物，每种种5株。水培至10周时，须根型植物的平均根数达到1349条／株，而根茎型植物的平均根数只有549条／株。实验结束（水培第21周）时，须根型植物的平均根生物量为11．3g／株，根茎型植物的平均根生物量为7．4g／株。须根型植物根系中，d〈1mm的细根生物量占根系总生物量的51．9％，而根茎型植物d〈1mm的细根的生物量只占25．1％。根茎型植物的根生物量与地上生物量的比值为0．2，显著高于须根型湿地植物（0．1）。须根型湿地植物的根系表面积（6933cm^2／株）极显著地高于根茎型湿地植物（1897cm^2／株）。根茎型湿地植物根的平均寿命（46．6d）较须根型湿地植物根的平均寿命（34．8d）长。美人蕉的平均根数达1871条／株，根表面积达到22832cm^2／株，远较其他种高。     

大豆根瘤内抗棉花枯萎病菌株的筛选及其防病试验

【目的】采用优良抗病性内生菌资源来控制棉花枯萎病是一种有效的措施。本研究从大豆根瘤中筛选棉花枯萎病拮抗性内生细菌,探索其对棉花枯萎病菌丝的抑制作用和代表菌株特性,为发掘和应用防病、抗逆优良菌株提供理论基础。【方法】采用对峙法和代谢液培养法对大豆根瘤内生细菌进行棉花枯萎病菌抑菌性筛选,显微观察法研究筛选菌株引起病原菌菌丝变化,通过菌株培养特征、理化特性和16S r DNA序列同源性分析确定菌株系统发育地位,比色法测定DD174耐盐碱性,盆栽试验验证防病效果。【结果】经复筛和代谢液试验有5株拮抗性较强菌株,被作用病原菌菌丝畸形、细胞壁消失、自溶,菌丝基部加粗、分支增多,呈树根状;菌丝被菌苔包埋而溶解、断裂,菌丝末端球形膨大。对棉花枯萎病菌的抑制作用主要通过菌体产生胞外代谢物发挥作用。菌株DD174、DD176和DD179最相似菌株分别为Bacillus oceanisediminis H2T(GQ292772)和B.thuringiensis ATCC 10792T(AF290545),菌株DD165和DD166最相似菌株均为Stenotrophomonas maltophilia LMG 958T(X95923)。DD174能耐受6%盐浓度,p H 10生长良好,具有一定耐盐碱能力。DD174处理组防治效果达76.32%,其他防效均在62%以上,可作为棉花枯萎病的生防菌株资源。【结论】大豆根瘤内存在棉花枯萎病内生拮抗细菌,其中有些菌株具有一定耐盐碱能力,对棉花枯萎病病原菌及病害有一定抑菌和防病作用。     

Prioritizing human cancer microRNAs based on genes' functional consistency between microRNA and cancer

The identification of human cancer-related microRNAs (miRNAs) is important for cancer biology research. Although several identification methods have achieved remarkable success, they have overlooked the functional information associated with miRNAs. We present a computational framework that can be used to prioritize human cancer miRNAs by measuring the association between cancer and miRNAs based on the functional consistency score (FCS) of the miRNA target genes and the cancer-related genes. This approach proved successful in identifying the validated cancer miRNAs for 11 common human cancers with area under ROC curve (AUC) ranging from 71.15% to 96.36%. The FCS method had a significant advantage over miRNA differential expression analysis when identifying cancer-related miRNAs with a fine regulatory mechanism, such as miR-27a in colorectal cancer. Furthermore, a case study examining thyroid cancer showed that the FCS method can uncover novel cancer-related miRNAs such as miR-27a/b, which were showed significantly upregulated in thyroid cancer samples by qRT-PCR analysis. Our method can be used on a web-based server, CMP (cancer miRNA prioritization) and is freely accessible at http://bioinfo.hrbmu.edu.cn/CMP. This time- and cost-effective computational framework can be a valuable complement to experimental studies and can assist with future studies of miRNA involvement in the pathogenesis of cancers.     

Detrimental Type I Interferon Signaling Dominates Protective AIM2 Inflammasome Responses during Francisella novicida Infection

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