稻水象甲Lissorhoptrus oryzophilus Kuschel卵巢、飞行肌及消长动态研究

本文在福鼎对稻水象甲消长动态进行了调查．并对成虫卵巢、飞行肌进行了解剖。通过解剖,所预测的各虫态发生期厦一代成虫迁移期与田间调查结果基本吻合。稻水象甲产卵高峰在4月底至5月上旬．幼虫、蛹和一代成虫的盛发期分别在5月上中旬、6月中下旬和6月下旬;一代成虫在6月下旬开始从稻田迁出。飞行肌解剖结果表明,飞行肌宽度随时间变化而变化,而长度则比较恒定,与发育历期无关,所以飞行肌宽度可作为监测依据,而长度则不宜采用。     

A wing synchronous receptor for the Dipteran flight motor

The existence of proprioceptive influences has been inferred in the Dipteran flight motor system but the sensory receptors(s) responsible has not been identified. We describe a wing-base structure which is widespread, and probably universal in the Diptera, which possesses the requisite mechanical and neurophysiological properties to provide such proprioceptive feedback.     

The activity of pleurodorsal muscles during flight and at rest in the moth Manduca sexta (L.)

In the moth Manduca sexta, the paired mesothoracic flight steering muscle II PD2m takes part in the generation of the flight rhythm and is spontaneously active in the non-flying animal. This spontaneous activity is modulated by optomotor stimuli and directionally selective. The directional response characteristics are analyzed. Another spontaneously active steering muscle pair, the III PD2c, is situated in the metathorax. The activities of this pair and of a third muscle pair, the III PD3 are also influenced by visual stimulation.The responses of all 6 muscles to optomotor stimuli which simulate the flight situations yaw, roll, thrust and lift are analyzed. Each situation elicits a unique pattern of activation/deactivation within this set of muscles. The activity pattern in non-flying animals allows the prediction of flight steering mechanisms such as changes of wing area in flight turns and provides a useful basis for the analysis of visuo-motor pathways.     

Conflicts in maintaining biodiversity at multiple scales

Biodiversity consists of multiple scales, including functional diversity in ecological traits, species diversity and genetic diversity within species, and is declining across the globe, largely in response to human activities. While species extinctions are the most obvious aspect of this, there has also been a more insidious loss of genetic diversity within species. While a vast literature concerns each of these scales of biodiversity, less is known about how different scales affect one another. In particular, genetic and species diversity may influence each other in numerous ways, both positively and negatively. However, we know little about the mechanism behind these patterns. In this issue of Molecular Ecology, Nestmann et al. (2011) experimentally explore the effect of species and functional diversity and composition of grassland plant communities on the genetic structure of one of the component species. Increasing species richness led to greater changes in the genetic composition of the focal populations over 4 years, primarily because of genetic drift in smaller population sizes. However, there were also genetic changes in response to particular plant functional groups, indicating selective differences driven by plant community composition. These results suggest that different levels of biodiversity can trade-off in communities, which may prove a challenge for conservation biologists seeking to preserve all aspects of biodiversity.     

A C++ Template Library for Efficient Forward-Time Population Genetic Simulation of Large Populations

fwdpp is a C++ library of routines intended to facilitate the development of forward-time simulations under arbitrary mutation and fitness models. The library design provides a combination of speed, low memory overhead, and modeling flexibility not currently available from other forward simulation tools. The library is particularly useful when the simulation of large populations is required, as programs implemented using the library are much more efficient than other available forward simulation programs.     

The developmental profile of paramyosin and other myofibrillar proteins of larval and imaginal thoracic muscles of Lepidoptera

The synthesis of paramyosin and other myofibrillar proteins of the thoracic muscles of the tobacco hornworm Manduca sexta was studied by immunological and electrophoretical methods during the histolysis of the larval thoracic muscles and the differentiation of the indirect flight muscles. Antigens of the myofibrillar proteins in the thoracic muscles of the last-larval stage cross reacted with those in the flight muscles of the adults against polyspecific antibodies from actomyosin and monospecific antibodies from paramyosin. After the breakdown of the larval thoracic muscles (2 days from larval-pupal ecdysis) these antigens can no longer be detected in the thorax. The results indicate an almost complete removal of the larval thoracic muscles. Paramyosin could be identified again in a homogenate of the thoracic muscles of animals on the 13th day from larval-pupal ecdysis. Paramyosin is the first protein found during the differentiation of the flight muscles. The other myofibrillar proteins could be identified in thoracic homogenates of pharate adults of Manduca sexta on the 14th and 15th day from larval-pupal ecdysis. On the 14th day from larval-pupal ecdysis the dorso-longitudinal muscle and the tergosternal muscles show cross-striation, and the appearance of most of the electrophoretical results are in accordance with immunological and morphological findings. The myofibrillar proteins of the indirect flight muscles of Manduca sexta are synthesized de novo during metamorphosis.     

A simple derivation and classification of common probability distributions based on information symmetry and measurement scale

Commonly observed patterns typically follow a few distinct families of probability distributions. Over one hundred years ago, Karl Pearson provided a systematic derivation and classification of the common continuous distributions. His approach was phenomenological: a differential equation that generated common distributions without any underlying conceptual basis for why common distributions have particular forms and what explains the familial relations. Pearson's system and its descendants remain the most popular systematic classification of probability distributions. Here, we unify the disparate forms of common distributions into a single system based on two meaningful and justifiable propositions. First, distributions follow maximum entropy subject to constraints, where maximum entropy is equivalent to minimum information. Second, different problems associate magnitude to information in different ways, an association we describe in terms of the relation between information invariance and measurement scale. Our framework relates the different continuous probability distributions through the variations in measurement scale that change each family of maximum entropy distributions into a distinct family. From our framework, future work in biology can consider the genesis of common patterns in a new and more general way. Particular biological processes set the relation between the information in observations and magnitude, the basis for information invariance, symmetry and measurement scale. The measurement scale, in turn, determines the most likely probability distributions and observed patterns associated with particular processes. This view presents a fundamentally derived alternative to the largely unproductive debates about neutrality in ecology and evolution.     

昆虫飞行肌细胞凋亡的分子生物学研究进展

细胞凋亡是多细胞生物体内由激素刺激,基因调控,蛋白调节的一个主动的程序化死亡过程,对生物体特定组织功能的发生、发展、衰老及退化等具有重要作用。而昆虫飞行肌细胞凋亡对昆虫迁飞行为尤为重要,它直接决定迁飞性昆虫能否选择更适宜的寄主植物和生活条件,进而影响到对农作物的危害地域和严重程度。本文在近年来昆虫细胞凋亡的研究基础上,从分子生物学的角度,综述了调控昆虫飞行肌细胞凋亡的相关基因和蛋白质的研究进展,探讨了昆虫飞行肌细胞凋亡发生与调控的分子生物学机制。     

Using parentage analysis to examine gene flow and spatial genetic structure

Numerous approaches have been developed to examine recent and historical gene flow between populations, but few studies have used empirical data sets to compare different approaches. Some methods are expected to perform better under particular scenarios, such as high or low gene flow, but this, too, has rarely been tested. In this issue of Molecular Ecology , Saenz-Agudelo et   al . (2009 ) apply assignment tests and parentage analysis to microsatellite data from five geographically proximal (2–6 km) and one much more distant (1500 km) panda clownfish populations, showing that parentage analysis performed better in situations of high gene flow, while their assignment tests did better with low gene flow. This unusually complete data set is comprised of multiple exhaustively sampled populations, including nearly all adults and large numbers of juveniles, enabling the authors to ask questions that in many systems would be impossible to answer. Their results emphasize the importance of selecting the right analysis to use, based on the underlying model and how well its assumptions are met by the populations to be analysed.     

Is there such a thing as landscape genetics?

For a scientific discipline to be interdisciplinary, it must satisfy two conditions; it must consist of contributions from at least two existing disciplines, and it must be able to provide insights, through this interaction, that neither progenitor discipline could address. In this study, I examine the complete body of peer‐reviewed literature self‐identified as landscape genetics (LG) using the statistical approaches of text mining and natural language processing. The goal here was to quantify the kinds of questions being addressed in LG studies, the ways in which questions are evaluated mechanistically, and how they are differentiated from the progenitor disciplines of landscape ecology and population genetics. I then circumscribe the main factions within published LG studies examining the extent to which emergent questions are being addressed and highlighting a deep bifurcation between existing individual‐ and population‐based approaches. I close by providing some suggestions on where theoretical and analytical work is needed if LGs is to serve as a real bridge connecting evolution and ecology sensu lato.     

In defence of model‐based inference in phylogeography

Recent papers have promoted the view that model‐based methods in general, and those based on Approximate Bayesian Computation (ABC) in particular, are flawed in a number of ways, and are therefore inappropriate for the analysis of phylogeographic data. These papers further argue that Nested Clade Phylogeographic Analysis (NCPA) offers the best approach in statistical phylogeography. In order to remove the confusion and misconceptions introduced by these papers, we justify and explain the reasoning behind model‐based inference. We argue that ABC is a statistically valid approach, alongside other computational statistical techniques that have been successfully used to infer parameters and compare models in population genetics. We also examine the NCPA method and highlight numerous deficiencies, either when used with single or multiple loci. We further show that the ages of clades are carelessly used to infer ages of demographic events, that these ages are estimated under a simple model of panmixia and population stationarity but are then used under different and unspecified models to test hypotheses, a usage the invalidates these testing procedures. We conclude by encouraging researchers to study and use model‐based inference in population genetics.