Disulphide structure of high-molecular-weight (HMW-) gliadins as affected by terminators

This study aimed at elucidating SS-bonds of HMW-gliadins (HGL) from wheat with the focus on terminators of glutenin polymerisation. HGL from wheat flour extracts non-treated or treated with the S-alkylation reagent N-ethylmaleinimide (NEMI) were compared. HGL from wheat flour Akteur were isolated, hydrolysed with thermolysin and the resulting peptides pre-separated by gel permeation chromatography and analysed by liquid chromatography/mass-spectrometry using alternating electron transfer dissociation/collision-induced dissociation. Altogether, 22 and 28 SS-peptides from samples without and with NEMI treatment, respectively, were identified. Twenty-six peptides included standard SS-bonds of α- and γ-gliadins, high-molecular-weight and low-molecular-weight glutenin subunits. Eleven SS-bonds were identified for the first time. Fifteen peptides unique to HGL contained cysteine residues from gliadins with an odd number of cysteines (ω5-, α- and γ-gliadins). Thus, gliadins with an odd number of cysteines, glutathione and cysteine had acted as terminators of glutenin polymerisation. Decisive differences between samples without and with NEMI treatment were not obvious showing that the termination of polymerisation was already completed in the flour. The two HGL samples, however, were different in the majority of ten peptides that included disulphide-linked low-molecular-weight (LMW) thiols such as glutathione and cysteine with the former being enriched in the non-treated HGL-sample.     

基于启发式Johnson算法优化BP神经网络的水产养殖产量预测模型

针对水产养殖产量预测难的现状,提出一种基于启发式Johnson算法优化的反向传播神经网络(BPNN)的产量预测模型。该模型在传统BP神经网络的基础上,针对网络训练时间长、易陷入局部最优的问题,通过启发式Johnson算法降低输入神经元维度,再结合试凑法确定神经网络隐层个数,构建启发式Johnson反向传播神经网络(HJA-BPNN)学习预测模型。实验结果表明,该模型在山东省对虾海水养殖产量预测中,预测的均方根误差小于传统BP神经网络和GM(1,1),且学习效率相比传统BP神经网络有所提升。研究表明,该学习预测模型在大量历史数据的模型构造上有更大的优势,能够缩短建模时间,同时获得良好的预测效果,为水产养殖产量预测提供了一种可行的新方法。     

Conservation needs for the endangered New Zealand sea lion,Phocarctos hookeri

1. Understanding population size and trend is critical information in species management and conservation. To enable accurate population trend estimates, consistent robust monitoring of a species is essential, particularly for a species such as the New Zealand (NZ) sea lion, Phocarctos hookeri , which has experienced an almost continuous decline in pup production since the late 1990s.
2. This research examines the pup production estimates for all known breeding sites for this species, and using a stage‐structured matrix population model, estimates population size and trend between 1995 and 2015.
3. Overall, it is estimated that 2,316 pups were born in 2015, a decrease of 13% since 1995 and a 27% decline since the highest pup production estimate in 1998. This decline has been driven by the significant decline of 48% at the main breeding area, the Auckland Islands since 1998.
4. Using the stage‐structured matrix population model a total species population size of 11,767 sea lions (95% CrI: 10,790–12,923) was estimated. This is the lowest population size of any sea lion species. Trend data for the Auckland Islands indicated that pup and population numbers have decreased at 1.9% yr^?1 in the last 20 yr, while total species population decline is 0.6% yr^?1.
5. Estimates of population trends for this species have been hindered by inconsistent monitoring at most breeding sites. This study strengthens the growing field of research highlighting the need for consistent long‐term monitoring for the conservation management of endangered species.

     

Finding suitable growth models for turbot (Scophthalmus maximus L.) in aquaculture 1 (length application)

Growth data of two different commercial turbot (Scophthalmus maximus) strains reared in recirculating aquaculture systems were analysed with the aim to determine the most suitable model for turbot. To assess the model performance three different criteria were used: (1) The mean percentage deviation between the estimated length and actual length; (2) the residual standard error with corresponding degrees of freedom and (3) the Akaike information criterion. The analyses were carried out for each strain separately, for sexes within strains and for a pooled data set containing both strains and sexes. We tested a pre‐selection of six models, containing three to four parameters. Models were of monomolecular shape or sigmoid shape with a flexible point of inflection including the special case of monomolecular shape in defined cases of their parameters. The 4‐parametric Schnute model achieved best fit in 62% of all cases and criteria tested, followed by the also 4‐parametric generalized Michaelis–Menten equation in 48% and the 4‐parametric Janoschek model (38%). The von Bertalanffy growth function achieved only 29%, Brody 24% and a new flexible function 19% best fit. In a 1–1000 day growth‐simulation sigmoid shaped curves were produced by the Schnute model in 71% of cases. The Janoschek and the Michaelis–Menten model each produced sigmoid curves in 57% of all cases. This indicates that a flexible 4‐parametric function reflects the growth curve of turbot the best and that this curve is rather sigmoid than monomolecular shaped.     

Exploring connectivity between spawning and nursery areas of Mullus barbatus (L., 1758) in the Mediterranean through a dispersal model

Connectivity between spawning and nursery areas plays a major role in determining the spatial structure of fish populations and the boundaries of stock units. Here, the potential effects of surface current on a red mullet population in the Central Mediterranean were simulated using a physical oceanographic model. Red mullet larvae were represented as Lagrangian drifters released in known spawning areas of the Strait of Sicily (SoS), which represents one of the most productive demersal fishing‐grounds of the Mediterranean. To consider the effect of inter‐annual variability of oceanographic patterns, numerical simulations were performed for the spawning seasons from 1999 to 2012. The main goal was to explore connectivity between population subunits, in terms of spawning and nursery areas, inhabiting the northern (Sicilian‐Maltese) and southern (African) continental shelves of the SoS. The numerical simulations revealed a certain degree of connectivity between the Sicilian–Maltese and the African sides of the SoS. Connectivity is present in both directions, but it is stronger from the Sicilian–Maltese spawning areas to the African nurseries owing to the marine circulation features of the region. However, because the majority of the larvae are transported to areas unsuitable for settlement or outside the SoS, the dispersal process is characterized by a strong loss of potential settlers born in the spawning areas. These results are in agreement with the low genetic heterogeneity reported for this species in the Mediterranean Sea and support the existence of a metapopulation structure of red mullet in the SoS and the adjacent areas.     

脲酶抑制剂与硝化抑制剂对稻田土壤氮素转化的影响

【目的】本研究旨在阐明脲酶抑制剂(urease inhibitor,UI)和硝化抑制剂(nitrification inhibitor,NI)对稻田土壤氮素转化的影响,探讨抑制剂提高稻谷产量以及氮肥利用率的机理。【方法】本试验设在我国南方红壤稻田,共5个处理:1)不施氮肥(CK);2)尿素(U);3)尿素+脲酶抑制剂(U+UI);4)尿素+硝化抑制剂(U+NI);5)尿素+脲酶抑制剂+硝化抑制剂(U+UI+NI);脲酶抑制剂采用N-丁基硫代磷酰三胺(NBPT),硝化抑制剂采用3,4-二甲基吡唑磷酸盐(DMPP)。在水稻分蘖期和孕穗期测定土壤脲酶活性、硝酸还原酶活性、土壤铵态氮含量、硝态氮含量以及微生物碳、氮的含量,分析NBPT与DMPP对水稻两个主要生育期土壤氮素供应的影响,比较各处理的产量以及氮肥利用率,通过逐步回归分析研究以上各指标对产量的影响,探明脲酶抑制剂NBPT与硝化抑制剂DMPP在稻田的增效机理。【结果】1)与单施尿素相比,添加NBPT以及NBPT与DMPP配施均显著提高稻谷产量与地上部氮素回收率,两个处理分别增产6.56%与8.24%,氮素回收率提高幅度为19.4%与23.7%。2)与单施尿素相比,添加NBPT以及NBPT与DMPP配施,显著降低水稻分蘖期的土壤脲酶活性和铵态氮含量,显著提高孕穗期的铵态氮含量,而对此时期的脲酶活性无显著影响,所有处理对两个时期的硝态氮含量、硝酸还原酶活性、微生物量碳、氮含量均无显著影响;因此,NBPT对于抑制脲酶活性以及提高铵态氮含量的作用主要在孕穗期之前,而单施DMPP没有显著效应。3)从各项土壤指标与水稻产量相关性的逐步回归分析结果来看,水稻分蘖期与孕穗期稻田土壤中铵态氮含量对水稻产量影响显著,而且孕穗期的影响大于分蘖期,其余指标则对产量无显著影响。【结论】脲酶抑制剂NBPT以及NBPT与硝化抑制剂DMPP配施显著提高孕穗期土壤中的铵态氮含量,显著提高稻谷产量以及地上部氮素回收率,证明了生产上氮肥后移的重要意义。     

乳山近海渔业资源种类组成及变化

根据2013—2015年乳山近海拖网渔船的渔捞日志,分析了乳山近海的单位捕捞努力量渔获量、渔获种类组成及生物多样性等特征。结果表明:(1)乳山近海渔获物共有36种,隶属于19目28科33属。其中鱼类有26种,虾蟹类4种,头足类4种,水母类1种,贝类1种。(2)2013—2015年全年优势种差异明显。其中,蓝点马鲛3年均为优势种,鳀鱼是2014年和2015年优势种,网纹狮子鱼为2013年和2015年的优势种。(3)乳山近海渔获物主要集中在休渔期前后的4—5月、9—11月,渔业生产存在明显的春汛和秋汛。2013—2015年乳山近海单位捕捞努力量渔获量逐年增加,但与历史单位捕捞努力量渔获量相比还是存在明显下降;多样性指数和均匀度指数变化趋势一致,多样性指数和丰富度指数较高值出现在秋季;春汛和秋汛期间,渔业资源种属组成及群落结构相似性较高。     

江淮杂交中籼水稻品质性状基因型与播期互作的AMMI模型分析

为明确杂交中籼水稻在江淮地区种植的适宜播期,提高稻米品质,选用3个杂交中籼水稻品种(系)分5个播期,利用AMMI模型对其营养食味品质性状(糊化温度、胶稠度、直链淀粉含量、蛋白质含量)进行了稳定性和适应性分析。结果表明,糊化温度、胶稠度、直链淀粉含量、蛋白质含量4项指标在基因型间、播期间及基因型×播期互作间的方差均达到极显著水平,这4项指标的交互效应主成分值(IPCA)差异也达到显著水平;穗期(抽穗至成熟期)平均气温较高、累计日照时数长、气温日较差大,有利于杂交中籼水稻品质的提高;3个参试品种(系)营养食味品质稳定性表现为新两优6号两优1128丰两优4号,5个播期对杂交中籼水稻品质影响表现为4月20日5月10日5月20日4月30日5月30日。     

茶树GGPS基因家族的克隆、生物信息学和表达分析

牻牛儿基牻牛儿基焦磷酸合酶(Geranylgeranyl diphosphate synthase,GGPS)是萜类合成途径的结构酶,对植物生长发育具有重要意义。本研究通过RACE和RT-PCR方法克隆得到5条潜在的茶树GGPS序列,分别命名为CsGGPS1-4和CsGGPS9,其中CsGGPS9存在3条等位基因,分别是CsGGPS9-1、CsGGPS9-2和CsGGPS9-3,在系统进化树上与其他基因分成两支。蛋白质序列分析表明,茶树GGPS家族成员都具有polyprenyl_synt结构域,不存在信号肽序列。亚细胞定位预测结果显示,CsGGPS1、CsGGPS2和CsGGPS4定位在叶绿体上,CsGGPS3和CsGGPS9定位在线粒体上。通过Swiss Model进行三维建模,结合"three-floor"模型对茶树GGPS家族成员的功能进行预测,预测结果显示,CsGGPS1、CsGGPS2和CsGGPS4是GGPS;CsGGPS3是异源二聚体形式的牻牛儿基焦磷酸合酶的小亚基;CsGGPS9的催化主产物是碳链数大于30的异戊烯基焦磷酸。q RT-PCR分析表明,CsGGPS1整体表达丰度较低,仅在一芽二叶中表达量稍高;CsGGPS2在茶树各个组织中均有表达,在花中表达量最高,且花发育过程中表达量先上升后下降;CsGGPS3在叶和幼根中的表达量高于花,花发育过程中表达平稳;CsGGPS4在茶树各个组织中表达量数值相近,在花发育过程中表达量变化趋势与CsGGPS2相同;CsGGPS9的表达量在成熟叶中显著低于幼嫩叶片。     

青藏高原草地降水利用效率时空动态及对气候变化的响应

本研究利用CASA(Carnegie-Ames-Stanford Approach)模型模拟了2000—2013年青藏高原草地净植被生产力(Net Primary Production，NPP)，结合实测数据、气象数据和土地覆被数据计算了草地降水利用效率（PUE），探究其时空分布特征，以及不同草地类型PUE及其对气候变化的响应。结果表明：青藏高原草地PUE在研究年限内呈现波动增加趋势，增加速率为每年0.0035 g·m^-2·mm^-1，14 a的平均值为0.38 g·m^-2·mm^-1。PUE的空间分布具有明显的异质性，呈现东部高、中西部低的基本格局。PUE分布在0.2～0.4 g·m^-2·mm^-1之间的比例最大，占青藏高原总面积的55.63%，呈减少趋势的区域主要分布在青藏高原的北部和西部，以及东部的边界地区，呈增加趋势的地区集中在研究区的中部和南部。研究年限内PUE的变异系数分布在0.07～0.85之间，变化稳定的区域所占面积最大，为总面积的43.43%，主要分布在唐古拉山脉和横断山脉附近。不同草地类型间PUE均值存在差异，具体表现为：草甸（1.06 g·m^-2·mm^-1）>坡面草地（0.80 g·m^-2·mm^-1）>平原草地（0.30 g·m^-2·mm^-1）>高山与亚高山草甸（0.29 g·m^-2·mm^-1）>荒漠草地（0.23 g·m^-2·mm^-1）>高山与亚高山草地（0.094 g·m^-2·mm^-1）。总体上，青藏高原草地PUE与降水成负相关关系，而与气温呈正相关，PUE的变化对降水响应更加敏感。