青蒿的遗传转化及青蒿素生物合成的调控

利用发根农杆菌(Agrobacterium rhizogenes)1601，1000，1500，15834，A4，均成功地转化了中药青蒿(Artemisia annua L.)并且建立了pRi1601，pRi15834，pRiA4诱导的发根培养。pRi1601，pRi15834的发根诱导率比其它质粒高。太老或太幼的叶片不利子发根的诱导;发根主要从叶脉的伤口处萌发;带顶芽或带侧芽的叶片容易诱导根，但不一定是发根。光照有利于发根的诱导和发根的生长。以每个发根的“绝对生长速率”(Gtowth Ratio，GR)和绝对“侧根”数量(Number of Side Roots，NSR），通过大量的发根系的筛选，建立了8个发根系，1601-L-1, 1601-L-2, 1601-L-3, 1601-L-4, 15834-L-1, 1601-P-I, 16 01-P-2，15834-L-2。Southern分子检测表明，160l-1-1，1801-L-2, 1601-L-3，1601-L-4，1601-P-1，1601-P-2均为转化子。8个建立的发根系之间无论生长或者QHS的合成存在明显的差异。比较光／暗(16/8hrs)，25℃条件下培养的16 01-L-1，1601-L-2，1601-L-3，1601-L-4，1601-P-l，和1601-P-2，其中16 01-L-3的生长最快，160l-L-1的生长最慢;但是，1601-L-1的QHS的含量最高（可达1. 048%），1601-1-3的QHS的含量最低。160Z-L-3，15834 -L-1和2583:1-L-2的生长速率相差不大。用盛有l000mLMS液体培养基的3000mL的锥形瓶扩大培养1601-L -3，15834-L-1和15834-L-2，转速为ll0rlpm，培养过程中发根容易形成发根球（Hairy Root Balis，HRB），HRB的形成严重影响发根的生长和QHs的合成，HpLC分析表明扩大培养发根中QHS的含量比较低。 改变MS基本培养基中的无机离子的浓度，研究不同无机离子对发根生长和QHS的合成的影响。 l、KN03为18.79×10-3M时有利于1601- L-1生长，为14. 84×10-3M时有利于QHS的合成。NH-4N0-3浓度在10.93-12. 49×10—3M范围内有利于1601-L-1生长，在0-20.62×10-3M范围内对QHS的合成影响不大，大于20. 62×lO-3M不利QHS的合成。培养基中NH-4+／N0-3-比值为0. 37-0. 4-0.52:1时有利于发根的生长，比值为0.52 - 0.58:1时有利于QHS的合成。 2、H-2P0-4-浓度为2.498×10-3M时有利于发根的生长在0-2. 498×l0-3M范围内，随着浓度的提高，促进发根的生长。培养基中的H2P4 -的浓度在0-1.249×lO-3M的范围内，随着浓度的提高，促进QHS的合成，为1.249×10-3M时QHS的含量最高。 3、培养基中最适16 01-L-1生长的Ca-2+浓度为0.198- 0.766×10-3M，大于或小于该浓度范围，显著地抑制发根的生长。但是，在0-3.695×10-3M范围内，随着培养基中Ca-2+浓度提高，促进QHS的合成，最适Ca-2+浓度为3.695×l0-3M。 4、培养基中不加Mg-2+时，完全抑制发根生长，在0. 142×10-3M-7.506×l0-3M浓度范围内，对发根生长影响没有明显的差别。但是，HPLC和UV分析发根中QHS含量，培养基中不加Mg-2+时，发根中QHS含量最高。 5、培养基中的Fe-2+浓度在0. 25 -1．0×10-3M范围内，同时有利于16 01- L-1的生长和QHS的形成。 6、培养基中最适合予16 01- L-3生长的KI浓度为2.5ppm，大于或小予该浓度均显著地抑制发根的生长，培养基中加入KI明显地降低发根中的QHS的含量。 7、H2BO3对l601-L-l生长影响不大，HPLC分析QHS的含量，培养基中的H3BO3浓度为100ppm和400ppm，QHS的含量分别为1.69mg/g和1.80mg/g(DW)。 8、Cu-2+对1601-L-3的生长影响显著，最适合1601-L-3生长的Cu-2+浓度为1.00ppm，在0 -1.00ppm的浓度范围内，随着培养基中的Cu+浓度的提高，发根的生物量不断增加。培养基中QHS合成的最适Cu2+浓度为0.05ppm，大于或小于该浓度均显著地抑制发根中QHS的合成。 比较光培养和暗培养对发根生长的影响，结果表明光照明显地促进1601-L-l的生长，暗培养明显不利于发根的生长。最适合于发根生长的温度为25℃，大于35℃显著地抑制发根的生长，影响发根的根尖细胞的正常分裂。 改变培养基中的蔗糖浓度和在发根培养的不同时期给培养基中添加蔗糖，试验结果表明蔗糖作为碳源对1601-L-3和1601-L-1的生长具有显著的影响。 (1)培养基中缺少蔗糖显著地抑制发根的生长。 (2)发根培养的前5天时间内，蔗糖浓度为30- 60glL昀培养基最有利于发根的生长，50glL的培养基中的发根生长最快，培养基中的蔗糖浓度大于60g/L小于30g／L时，发根的生物量增加较少。 (3)发根培养至第15天时，蔗糖浓度为60g/L的培养基最有利予发根的生物量的增加。发根培养至30天时，蔗糖浓度为60-90g/L的培养基，发根的生物量的增加相差不大，但是为蔗糖浓度为30-40g/L的培养基中的发根生物量一倍。 (4)发根培养过程中，分别于第5和15天给蔗糖浓度为30g/L的培养基中添加一次或二次蔗糖，使培养基中的蔗糖终浓度相当于60g/L或90g/L，培养至30天时，添加蔗糖的培养基中的发根的干重生物量相当于不添加蔗糖培养基中的发根生物量一倍，相当于初始蔗糖浓度为60g/L和90g/L培养基中发根的生物量。 (5)随着培养基中蔗糖浓度的提高，发根干重/鲜重比显著增加。培养基中的蔗糖的消耗量与发根生物量的增加呈正相关，蔗糖消耗越多，发根生物量的增加越大。 比较pH值对发根生长和QHS合成的影响表明，灭菌前pH值在5.O-6.5范围内的培养基适合予1601-L-1的生长，小于5.O不利于发根的生长，pH5.8有利于1601-1-1生长和QHS的生物合成。发根收获时培养基中的pH值一般为4.5-5.2. pH7.O抑制发根的生长，pHl0.O对发根具有强烈的致死作用。发根在培养过程中，对培养基中的pH值具有显著的调节作用，发根能在很短的时间内(24- 48hrs)使pl:l值为5.8、6.4、7.0培养基降低到pH4. 5-5.2，pH为5.8的培养基有利于QHS合成。 比较不同基本培养基对发根生长和QHS合成的影响，试验结果表明N6、DCR、Litvay培养基有利于1601-L-1的生长，WS、White、B5培养基不利于发根的生长。DCR培养基中的QHS含量最高。 根据三水平试验选用三水平正交表来安排试验的原则，选用三水平正交表L7(3-)，研究多因子效应对发根生长和QHS合成的影响，试验结果表明，Mg2+，Fe2+，Mn-2+，NH4NO3，KN03 ,KI,Ca-2+为发根生长的主要因子，NH4N03，KNOs，Mg2+，Ca2+，肌醇为QHS合成的主要因子。 通过TLC分析发根中QHS和其它化学成分，同时比较发根和无菌苗及野生植株的化学成分，发根和无菌苗均能合成包括QHS在内的野生青蒿叶片中的大部分非挥发性的化台 物。 研究青蒿植株在发育过程中QHS的含量的变化以及发根、无菌苗和野生青蒿中QHS的合成，HP分析结果表明，l、不同的单株青蒿之间的QHS量相差很大。2、同一植株幼 叶的QHS含量比老叶的QHS含量高。3、不同单株青蒿之间达到最高QHS含量的时间不一样，开花期或开花之前。4、无菌苗（带根）或者不带根丛生芽均能合成QHS，但是带根的无菌蕾的QHS量比丛生芽中的QIS的含量高。5、不同发根农杆菌转化的发根系1601-L-1和15834-L-1都能合成ＱＨＳ。

库布齐沙漠两个不同土地利用类型生态系统呼吸比较研究

陆地生态系统的呼吸作用是全球碳循环的一个主要通量和响应全球变化的一个潜在的重要正反馈机制。研究陆地生态系统的呼吸作用特征及其对生物环境因子的响应具有重要意义。本实验利用涡度相关技术对内蒙古库布齐沙漠两个不同土地利用类型的生态系统（人工种植杨树林和天然的油蒿灌丛）2006年生长季（4-10月）的生态系统呼吸特征进行比较研究，并分析了控制生态系统呼吸（Re）的生物与环境因子。结果表明：在这两种生态系统中Re存在着显著的日变化和季节变化，两个生态系统之间Re也存在着显著差异。Re日平均最大值分别2.0 mol CO2 m-2 s-1和1.7 mol CO2 m-2 s-1，都显著低于其他类似生态系统。杨树林和油蒿灌丛的生态系统Re与空气温度都表现出明显的指数相关关系，温度敏感指数Q10分别为1.11和1.12。两个生态系统的Re都与土壤水分含量呈显著的线性正相关关系，表明库布齐沙漠的生态系统的Re受到了土壤水分条件的限制。杨树林和油蒿灌丛生态系统呼吸Re都与叶面积指数的有线性回归关系，说明叶面积指数对生态系统呼吸有很好的指示作用。 本文还选择了两个生态系统内四种常见的土壤覆盖类型（分别是：杨树林生态系统的沙地SL和低洼地BL;油蒿灌丛生态系统的灌丛间BS和灌丛内WS），利用动态密闭气室测定了5-9月土壤呼吸的季节动态以及植株尺度的小尺度空间异质性。结果表明：1）不同土壤覆盖类型的土壤呼吸存在着很大的差异，其中低洼地BL和沙地SL分别有着最大和最小值，灌丛内WS的土壤呼吸要明显高于灌丛外BS。根生物量是导致它们之间差异的主要原因。2）土壤呼吸与土壤含水量之间的线性关系表明，土壤水分是两个生态系统土壤呼吸的限制因子。3）两个生态系统土壤呼吸存在着明显的小尺度差异，在靠近植株（0.5m内）地方的土壤呼吸的值明显高于距植株0.5m外的值，而0.5m外的土壤呼吸没有显著差异。小尺度土壤呼吸与根生物量之间明显的线性关系，说明根生物量是导致小尺度土壤呼吸差异的原因。本实验对沙漠生态系统的土壤呼吸和生态系统呼吸特征及其影响因子的研究，对准确的估计这一地区的碳收支有很大的帮助，为深入的理解干旱半干旱地区的生态系统碳循环提供了有价值的信息。

Viscoelastic microbuckling of fiber composites

A theoretical study is given of viscoelastic microbuckling of fiber composites. The analysis is formulated in terms of general linear viscoelastic behavior within the kink band. Material outside the kink band is assumed to behave elastically. Two specific forms of linear viscoelastic behavior are considered: a standard linear viscoelastic model and a logarithmically creeping model. Results are provided as deformation versus time histories and failure life versus applied stress. Failure is due to either the attainment of a critical failure strain in the kink band or to the intervention of a different failure mechanism such as plastic microbuckling.

Scaling POMDPs for dialog management with composite summary point-based value iteration (CSPBVI)

Although partially observable Markov decision processes (POMDPs) have shown great promise as a framework for dialog management in spoken dialog systems, important scalability issues remain. This paper tackles the problem of scaling slot-filling POMDP-based dialog managers to many slots with a novel technique called composite point-based value iteration (CSPBVI). CSPBVI creates a "local" POMDP policy for each slot; at runtime, each slot nominates an action and a heuristic chooses which action to take. Experiments in dialog simulation show that CSPBVI successfully scales POMDP-based dialog managers without compromising performance gains over baseline techniques and preserving robustness to errors in user model estimation. Copyright © 2006, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.

Evolutionary history of the mtDNA 9-bp deletion in Chinese populations and its relevance to the peopling of east and southeast Asia

In total, 1218 Chinese from twelve ethnic groups and nine Han geographic groups were screened for the mtDNA 9-bp deletion motif. The frequency of the 9-bp deletion in all samples was 14.7% but ranged from 0% to 32% in the various ethnic groups. Three individuals had a triplication of the 9-bp segment. Phylogenetic and demographic analyses of the mtDNA hypervariable segment 1 (HVS1) sequences suggest that the 9-bp deletion occurred more than once in China. The majority of the Chinese deletion:haplotypes (about 90%) have a common origin as a mutational event following an initial expansion of modem humans in eastern Asia. Other deletion haplotypes and the three haplotypes with a 9-bp triplication may have arisen independently in the Chinese, presumably by replication error. HVS1 haplotype analysis suggests two possible migration routes of the 9-bp deletion in east and southeast Asia. Both migrations originated in China with one route leading to the Pacific Islands via Taiwan, the other to southeast Asia and possibly the Nicobar Islands. Along both routes of peopling, a decrease in HVS1 diversity of the mtDNA haplotypes is observed. The "Polynesian motif (16217T/C, 16247A/G, and 16261C/T)" and the 16140T/C, 16266C/A, or C/G polymorphisms appear specific to each migration route.

Effects of gelatin on mechanical properties of hydroxyapatite-gelatin nano-composltes

A biomimetic reactor has been developed to synthesize hydroxyapatite- gelatin (HAP-GEL) nanocomposites that mimic ultra-structures of natural bone. We hypothesize that in the reactor, gelatin concentration controls morphology and packing structures of HAP crystals. To test the hypothesis, three types of mechanical tests were conducted, including nanoindentation, compression, and fracture tests. Nanoindentation tests in conjunction with computer modeling were used to assess effects on gelatin-induced microstructures of HAP. The results showed that increasing gelatin content increased both the plane strain modulus and the fracture toughness. The gelatin appeared to shorten the HAP crystal distance, which consolidated the internal structure of the composite and made the material more rigid. The fracture toughness KIC increased partially due to the effect of fiber bridging between gelatin molecules. The highest fracture toughness (1.12 MPa·1/2) was equivalent to that of pure hydroxyapatite. The compressive strength of the HAP-GEL (107.7±26.8 MPa) was, however, less sensitive to microstructural changes and was within the range of natural cortical bone (human 170 MPa, pig: 100 MPa). The compression strength was dominated by void inclusions while the nanoindentation response reflected ultra-structural arrangement of the crystals. The gelatin concentration is likely to modify crystal arrangement as demonstrated in TEM experiments but not void distribution at macroscopic levels. © 2006 Materials Research Society.

Can a group elicit duets from its neighbours? A field study on the black-crested gibbon (Nomascus concolor jingdongensis) in Central Yunnan, China

We tested the intergroup spacing hypothesis with a 13-month field study of the interaction of singing behaviour between 3 neighbouring groups of black-crested gibbons (Nomascus concolor jingdongensis) at Mt. Wuliang, Central Yunnan, China. Neighbouring gr

Spontaneous induction of the uniform lying helix alignment in bimesogenic liquid crystals for the flexoelectro-optic effect

Using in-plane electric fields, the electrical induction of the uniform lying helix (ULH) alignment in chiral nematic liquid crystals is reported. This process permits spontaneous induction of the ULH alignment to give an in-plane optic axis, without the need for complex processing. Flexoelectro-optic switching is subsequently obtained by holding the in-plane electrodes at a common voltage and addressing via a third, plane-parallel electrode on a second, or upper, substrate to give a field across the device in the viewing direction. For this device, in optimized bimesogenic materials, we demonstrate full intensity modulation and sub-millisecond response times at typical device temperatures. © 2012 American Institute of Physics.