基于外部形态特征量化分析判别菱角水螟幼虫龄期

【目的】本实验拟为田间准确快速判别菱角水螟Parapoynx crisonalis(Walker)幼虫龄期提供一种新方法,以便监测其发生规律、预测其发生时间。【方法】本研究通过对幼虫头壳宽、复眼距、体宽和体长4项外部形态指标的测量,运用Crosby生长法则和线性回归分析方法,结合各项指标的频次分布进行分析。【结果】各龄幼虫头壳宽平均值的变异系数和Crosby指数最小,为判别幼虫龄期的最佳分龄指标,幼虫期共分为5龄,1~5龄的头壳宽分别为(0.2493±0.0053)、(0.3454±0.0018)、(0.5079±0.0031)、(0.7419±0.0190)和(1.1287±0.0369)mm,其与龄期数呈线性关系。通过实验室饲养观察菱角水螟幼虫蜕皮次数验证该虫幼虫期分为5个龄期。【结论】头壳宽为判定菱角水螟幼虫龄期的最佳指标,复眼距次之。     

二点委夜蛾幼虫虫龄的测定

【目的】二点委夜蛾Athetis lepigone(M?schler),属鳞翅目夜蛾科。我国于2005年7月在河北省夏玉米田首次发现。近年来,该虫发生范围不断扩大,为害日益加重,因此应制定科学有效的防治策略。幼虫的虫龄和龄期测定是害虫预测预报以及制定科学防治策略的重要依据。【方法】本文通过测量二点委夜蛾幼虫头壳宽度、体长、体重,对幼虫虫龄的划分进行了研究。根据所测数据的频次分布图及Dyar定律推测幼虫虫龄数,并运用Crosby生长法则和线性回归的方法进行验证。【结果】经测量,幼虫头壳宽度值呈现出5个明显的集中区,1~5龄幼虫头壳宽度分别为0.50~0.62、0.64~0.76、0.82~0.94、1.00~1.12、1.24~1.40 mm。幼虫体长呈现出4个较明显的集中区,分别为2.00~6.50、7.50~12.50、14.50~17.50、18.50~23.00 mm。而实际观察测得1~5龄幼虫体长范围分别为1.96~3.60、2.78~4.10、3.98~6.20、5.38~12.48、14.06~22.96 mm。1~5龄幼虫体重范围分别为<0.0001、0.0003~0.0009、0.0005~0.0036、0.0027~0.0240、0.0337~0.1332 g。【结论】研究结果表明,幼虫头壳宽度可用于分龄,二点委夜蛾幼虫期共分为5龄。头壳宽度y与幼虫虫龄x的回归方程为y=0.4579e0.2121x。幼虫体长和体重在各龄间重叠度较大,不宜用于幼虫虫龄的划分。     

绿豆象幼虫虫龄的划分及末龄幼虫头部形态和感器观察

【目的】明确绿豆象Callosobruchus chinensis幼虫的龄期,了解其末龄幼虫头部感受器的种类、形态和分布。【方法】测量绿豆象幼虫体长、头壳宽和上颚宽,根据所得数据的频次分布图、关系拟合结果和戴氏法则确定绿豆象最佳分龄指标,明确幼虫虫龄数,并利用Crosby生长法则和线性回归的方法进行验证;采用扫描电镜对末龄幼虫头部形态及感受器进行观察。【结果】绿豆象体长、头壳宽和上颚宽的频次分布均呈显著的4个峰,因此推断绿豆象幼虫为4个虫龄。各龄的体长变幅分别为1.581～2.556, 2.406～3.381, 3.381～4.281和4.206～4.881 mm,头壳宽度变幅分别为0.444～0.689, 0.654～0.934, 0.934～1.179和1.144～1.389 mm,上颚宽变幅分别为0.080～0.256, 0.234～0.344, 0.322～0.542和0.542～0.652 mm。体长、头壳宽和上颚宽均符合戴氏法则和Crosby生长法则,并呈现明显的线性关系,因此体长、头壳宽和上颚宽可作为绿豆象幼虫龄期划分的重要指标。头壳宽的Crosby指数均小于体长和上颚宽的Crosby指数,且头壳宽与体长测量值的对数值与幼虫龄期的相关系数要优于上颚宽测量值的对数值与幼虫龄期的相关系数,因此可将头壳宽作为最佳分龄指标。绿豆象末龄幼虫头部感器共有锥形感器、毛形感器、瓶形感器、刺形感器、板形感器、栓锥形感器和坛形感器7种感器,主要分布于触角、下颚须、上唇和上颚。【结论】绿豆象幼虫分龄形态指标和头部形态观察为研究其行为活动及综合防治提供理论基础。     

黄羽摇蚊Chironomus flaviplumus Tokunaga幼虫龄期的研究

[目的]探寻黄羽摇蚊Chironomus flaviplumus Tokunaga幼虫最佳分龄形态指标并判断其龄数,准确区分其幼虫龄期。[方法]本文采用实验室内人工养殖定期取样观察的方法,分别测量了不同发育阶段摇蚊幼虫的头壳长、颏中齿顶端至冠突前缘间距离、头壳宽、颏宽、颏中齿宽、触角长、触角基节长、触角除基节以外2~5节长、上颚长、腹颏板长、腹颏板宽11项形态指标,运用Crosby生长法则、频次分析、回归方法分析对11项形态指标测量数据进行统计分析,选择判定幼虫龄数的最佳形态指标,推断其幼虫的龄数及龄期。[结果]黄羽摇蚊幼虫可分为4个龄期,颏宽为最佳的分龄形态指标,1~4龄幼虫的颏宽(μm)分别为(30.9008±0.3253),(52.2114±0.7172),(98.6165±0.6146),(171.2985±0.5582)。幼虫颏宽(y)与龄期(x)的回归方程为y=0.1971x~3+11.365x~2-14.163x+33.502,R~2=0.9827。另外,Y2(颏中齿顶端至冠突前缘间距离)、Y5(颏中齿宽)和Y9(上颚长)也可以作为分龄的辅助指标。选取颏宽对各龄期持续时间进行推测,得出1~4龄幼虫的龄期分别为2~3、2~4、5~6、7d,幼虫期共为16~20d。[结论]黄羽摇蚊幼虫具有4个龄期,颏宽为最佳分龄形态指标,幼虫期共为16~20d。     

川硬皮肿腿蜂幼虫龄期的划分

通过对川硬皮肿腿蜂幼虫头壳宽度和长度的测定,推断该虫幼期有5龄。1~5龄幼虫的头壳宽度分别为0.1221±0.0017,0.1574±0.0019,0.2030±0.0019,0.2454±0.0020,0.2886±0.0035 mm。经统计分析得到其龄期y与幼虫头壳宽度x的关系式为y=23.72x-1.8222。1~5龄幼虫的头壳长度分别为0.07946±0.0017,0.1039±0.0013,0.1260±0.0014,0.1624±0.0016,0.2008±0.0032 mm。经统计分析得到其龄期y与幼虫头壳长度x的关系式为y=32.694x-1.3977。同时得出幼虫头壳长度y和头壳宽度x的关系式为y=0.7159x-0.011。     

榆木蠹蛾幼虫龄数的确定

为弄清榆木蠹蛾Holcocerus vicarius Walker幼虫的发育情况及预测其发生时间, 通过测量榆木蠹蛾幼虫的头壳宽、 体长、 体宽、 前胸背板宽、 上颚长和上颚宽, 运用Crosby生长法则和线性回归方法分析来找出判定幼虫龄数的最佳形态指标, 推断其幼虫的龄数。结果表明： 各龄幼虫头壳宽平均值的变异系数和Crosby指数最小, 其他5项指标的变异系数和Crosby指数较大, 头壳宽为最佳分龄指标。根据头壳宽将榆木蠹蛾幼虫分为20龄, 不同龄幼虫头壳宽值符合Dyar定律提出的幼虫头壳宽增长规律, 头壳宽和龄数的回归方程为y=0.233+1.686x+0.127x²-0.005x³ （R²=0.996）。榆木蠹蛾幼虫龄数的确定为研究其发生规律、 生物学习性及进行综合防治提供依据。     

栎黄枯叶蛾幼虫龄数的确定

【目的】为明确栎黄枯叶蛾Trabala vishnou gigantina Yang幼虫的发育状况,以便进行预测预报及采取防治措施。【方法】通过野外采样获取不同发育状态的栎黄枯叶蛾幼虫,对其头壳宽度,体长,体宽,额宽,上颚基部宽和单眼间距6项形态指标进行测量,利用Crosby生长法则和线性回归方法,推断栎黄枯叶蛾幼虫的龄数。【结果】栎黄枯叶蛾幼虫有7龄,头壳宽度为最佳分龄结构。单眼间距、额宽和上颚宽3项指标均可作为分龄的辅助手段,体长和体宽变异较大,不宜用作幼虫龄数划分。【结论】研究结果为生产上合理防治该害虫提供了参考依据。     

油桐尺蠖幼虫龄期的划分

通过对油桐尺蠖Buzura suppressaria Guene幼虫实际蜕皮次数的观察和头壳宽度的测量,确定幼虫龄期为7龄。1～7龄幼虫头壳宽(mm)分别为:0.2905±0.0101,0.4627±0.0213,0.6884±0.03,1.124±0.0407,1.7826±0.0457,2.6772±0.078,3.8401±0.0567。经统计分析得到其龄期y与幼虫头壳宽度x的关系式为y=0.1917e0.436x。     

长木蜂幼虫龄期的划分

长木蜂Xylocopa tranquebarorum幼虫龄期的确定是进一步研究巢室行为、生活规律以及制定保护策略的理论基础。本研究采用田间取样和室内孵化的方法收集长木蜂各龄幼虫,测量了幼虫头壳宽度、体长和体重3个形态指标。根据所测数据的频次分布图以及Dyar定律推测长木蜂幼虫分为4龄。1-4龄幼虫的头壳宽度分别为1.405 mm,1.783 mm,2.084 mm,2.250 mm。统计分析得出其龄期y与幼虫头壳宽度x的关系为y=0.2836x+1.1715(R2=0.9724)。     

椰子织蛾幼虫龄数及取食量的雌雄差异

为了明确椰子织蛾幼虫的龄数、取食量及龄期。在室温25℃±3℃,寄主食料椰子叶饲养条件下,测量了雌、雄幼虫头壳宽、取食量并记录了各龄幼虫的发育历期。结果表明,椰子织蛾雌性幼虫有9-10个龄数,雄性幼虫有8-10个龄数。1-10龄雌虫的头壳宽约为0.2300,0.3250,0.4300,0.5267,0.7700,0.9633,1.3775,1.5850,1.8200,2.1929 mm。1-10龄雄虫的头壳宽约为0.2233,0.3214,0.4125,0.5300,0.6529,0.8675,1.1267,1.3375,1.4950,1.8925 mm。9-10龄雌虫的头壳宽显著大于雄虫的头壳宽。头壳宽与龄数具有很强的相关性。椰子织蛾幼虫的取食量随龄数的增大而增加。椰子织蛾1代雌性幼虫平均取食椰子叶的面积(3607.23±146.83 mm~2)显著高于1代雄性幼虫平均取食椰子叶的面积(1991.25±143.92 mm~2)。1-5龄幼虫的取食量最小,小于50 mm~2。8-10龄为暴食期。1-10龄幼虫的发育历期分别为4.55±0.16,5.69±0.24,5.73±0.37,5.22±0.15,5.11±0.46,4.61±0.46,5.12±0.68,6.00±0.43,6.86±0.40和8.75±1.55 d。对于雌、雄成虫个体差异较大的昆虫,对其幼虫头壳宽值和取食量的测定应雌、雄幼虫分别测定。椰子织蛾的防治适期应在未造成严重为害的1-5龄幼虫高蜂期进行。以幼虫头壳宽为主,同时结合取食面积判定幼虫所处龄数,可为准确掌握防治时期提供科学依据。     

Innovation: Metabolomics: the apogee of the omics trilogy

Metabolites, the chemical entities that are transformed during metabolism, provide a functional readout of cellular biochemistry. With emerging technologies in mass spectrometry, thousands of metabolites can now be quantitatively measured from minimal amounts of biological material, which has thereby enabled systems-level analyses. By performing global metabolite profiling, also known as untargeted metabolomics, new discoveries linking cellular pathways to biological mechanism are being revealed and are shaping our understanding of cell biology, physiology and medicine.     

Focus: Microbiome: Unraveling the Dynamics of the Human Vaginal Microbiome

Four Lactobacillus species, namely L. crispatus, L. iners, L. gasseri, and L. jensenii, commonly dominate the vaginal communities of most reproductive-age women. It is unclear why these particular species, and not others, are so prevalent. Historically, estrogen-induced glycogen production by the vaginal epithelium has been proffered as being key to supporting the proliferation of vaginal lactobacilli. However, the ‘fly in the ointment’ (that has been largely ignored) is that the species of Lactobacillus commonly found in the human vagina cannot directly metabolize glycogen. It would appear that this riddle has been solved as studies have demonstrated that vaginal lactobacilli can metabolize the products of glycogen depolymerization by α-amylase, and fortunately, amylase activity is found in vaginal secretions. These amylases are presumed to be host-derived, but we suggest that other bacterial populations in vaginal communities could also be sources of amylase in addition to (or instead of) the host. Here we briefly review what is known about human vaginal bacterial communities and discuss how glycogen-derived resources and resource competition might shape the composition and structure of these communities.     

Diabetes: the importance of the liver

Insulin resistance, the hallmark of non-insulin dependent diabetes mellitus, is characterized by the failure of tissues to take up and store glucose in response to insulin. Two recent studies shed new light on the importance of insulin signalling in the liver and how this may become defective in diabetes.     

Coronins: the return of the crown

Coronins are highly conserved regulators of the actin cytoskeleton whose structure and biological function have remained mysterious until recently. They were originally identified in Dictyostelium, where they localize to actin-rich crown-like structures on the dorsal surface of cells. Coronins bind filamentous actin and the Arp2/3 complex and are involved in modulating actin dynamics. Unlike other known Arp2/3-binding proteins, coronins inhibit Arp2/3 nucleating activity. Genetic data from Dictyostelium, yeast and Drosophila indicate that coronins are important regulators of several actin-dependent physiological processes. Here, we review recent insights into mammalian coronin structure, function and regulation and identify key questions that remain unanswered in this field.     

Water: the bloodstream of the biosphere

Water, the bloodstream of the biosphere, determines the sustainability of living systems. The essential role of water is expanded in a conceptual model of energy dissipation, based on the water balance of whole landscapes. In this model, the underlying role of water phase changes--and their energy-dissipative properties--in the function and the self-organized development of natural systems is explicitly recognized. The energy-dissipating processes regulate the ecological dynamics within the Earth's biosphere, in such a way that the development of natural systems is never allowed to proceed in an undirected or random way. A fundamental characteristic of self-organized development in natural systems is the increasing role of cyclic processes while loss processes are correspondingly reduced. This gives a coincidental increase in system efficiency, which is the basis of growing stability and sustainability. Growing sustainability can be seen as an increase of ecological efficiency, which is applicable at all levels up to whole landscapes. Criteria for necessary changes in society and for the design of the measures that are necessary to restore sustainable landscapes and waters are derived.