Molecular Phylogenetics at the Felsenstein Zone: Approaching the Strepsiptera Problem Using 5.8S and 28S rDNA Sequences

Recent efforts to reconstruct the phylogenetic position of the insect order Strepsiptera have elicited a major controversy in molecular phylogenetics. We sequenced the 5.8S rDNA and major parts of the 28S rDNA 5′ region of the strepsipteran speciesStylops melittae.Their evolutionary dynamics were analyzed together with previously published insect rDNA sequences to identify tree estimation bias risks and to explore additional sources of phylogenetic information. Several major secondary structure changes were found as being autapomorphic for the Diptera, the Strepsiptera, or the Archaeognatha. Besides elevated substitution rates a significant AT bias was present in dipteran and strepsipteran 28S rDNA which, however, was restricted to stem sites in the Diptera while also affecting single-stranded sites in the Strepsiptera. When dipteran taxa were excluded from tree estimation all methods consistently supported the placement of Strepsiptera to within the Holometabola. When dipteran taxa were included maximum likelihood continued to favor a sister-group relationship of Strepsiptera with Mecoptera while remaining methods strongly supported a sister-group relationship with Diptera. Parametric bootstrap analysis revealed maximum likelihood as a consistent estimator if rate heterogeneity across sites was taken into account. Though the position of Strepsiptera within Holometabola remains elusive, we conclude that the evolution of dipteran and strepsipteran rDNA involved similar yet independent changes of substitution parameters.     

SEASONAL PATTERNS IN THE ABUNDANCE AND DISTRIBUTION OF CALIFORNIA CETACEANS, 1991–1992

This study presents a detailed seasonal comparison of the abundance and distribution of cetaceans within 100-150 nmi (185-278 km) of the California coast during 1991 and 1992. The results of a shipboard line-transect survey conducted in July-November 1991 ("summer") were compared to those from aerial line-transect surveys conducted in March-April 1991 and February-April 1992 ("winter"). Using a confidence-interval-based bootstrap procedure, abundance estimates for six of the eleven species included in the comparison exhibited significant (α= 0.05) differences between the winter and summer surveys. Pacific white-sided dolphins ( Lagenorhynchus obliquidens ), Risso's dolphins ( Grampus griseus ), common dolphins ( Delphinus spp.), and northern right whale dolphins ( Lissodelphis borealis ) were significantly more abundant in winter. The abundance of blue whales ( Balaenoptera musculuss ) and gray whales ( Eschrichtius robustus ) reflected well-documented migratory patterns. Fin whales ( B. physalus ) were significantly more abundant during summer. No significant differences in seasonal abundance were identified for Dall's porpoises ( Phocoenoides dalli ), bottlenose dolphins ( Tursiops truncatus ), killer whales ( Orcinus orca ), sperm whales ( Physeter macrocephalus ), or humpback whales ( Megaptera novaeangliae ). Significant north/south shifts in distribution were found for Dall's porpoises, common dolphins, and Pacific white-sided dolphins, and significant inshore/offshore differences were identified for northern right whale dolphins and humpback whales.     

A semiparametric approach for the nonparametric transformation survival model with multiple covariates

The nonparametric transformation model makes no parametric assumptions on the forms of the transformation function and the error distribution. This model is appealing in its flexibility for modeling censored survival data. Current approaches for estimation of the regression parameters involve maximizing discontinuous objective functions, which are numerically infeasible to implement with multiple covariates. Based on the partial rank (PR) estimator (Khan and Tamer, 2004), we propose a smoothed PR estimator which maximizes a smooth approximation of the PR objective function. The estimator is shown to be asymptotically equivalent to the PR estimator but is much easier to compute when there are multiple covariates. We further propose using the weighted bootstrap, which is more stable than the usual sandwich technique with smoothing parameters, for estimating the standard error. The estimator is evaluated via simulation studies and illustrated with the Veterans Administration lung cancer data set.     

Dynamic regression with recurrent events

Recurrent events often arise in follow‐up studies where a subject may experience multiple occurrences of the same event. Most regression models with recurrent events tacitly assume constant effects of covariates over time, which may not be realistic in practice. To address time‐varying effects, we develop a dynamic regression model to target the mean frequency of recurrent events. We propose an estimation procedure which fully exploits observed data. Consistency and weak convergence of the proposed estimator are established. Simulation studies demonstrate that the proposed method works well, and two real data analyses are presented for illustration.     

Molecular phylogenetic study on the origin and evolution of Mustelidae

The family Mustelidae, which consists of Mustelinae, Lutrinae, Melinae, and Taxidiinae, is the largest family among Carnivora and is a highly diverse group. Recent molecular phylogenetic studies have clarified the phylogenetic relations among Mustelidae, but there remain several unresolved problems, particularly concerning the deep branchings. Whereas many studies support the monophyly of Mustelidae+Procyonidae among Musteloidea, the relations between Mustelidae+Procyonidae, Ailuridae, and Miphitidae are still unclear. To address these problems, we inferred a tree on the basis of the sequences of mitochondrial genomes and of multiple nuclear genes using the maximum likelihood method. Our results strongly support the hypothesis that the Taxidiinae branched at first, followed by the branching of the Melinae. After that, Mustelinae diversified, and Lutrinae evolved within Mustelinae. With respect to the deep branchings in Musteloidea, the Ailuridae/Mephitidae monophyly tree and the Mephitidae-basal tree are indistinguishable in log-likelihood score, and this problem remains unresolved.     

自我重复取样技术与多项式定理在年龄-龄期两性生命表研究中的应用

年龄-龄期两性生命表(age-stage, two-sex life table)简称两性生命表,是种群生态学研究与害虫治理中常用的重要理论与分析工具。根据两性生命表理论而设计的方便用户的软件TWOSEX-MSChart近年来被越来越多国内外学者用于昆虫种群研究的数据分析。两性生命表软件的分析功能是由许多的统计技术与计算机模拟方法作为数据分析的支撑,其中自我重复取样(bootstrap)是其重要技术之一。本文详述了bootstrap技术的基本原理、方法、优缺点及其在两性生命表分析中的应用,并介绍了其理论基础多项式定理(multinomial theorem)在生命表研究中的应用。与常用统计方法相比,bootstrap不需要数据分布假设就可以对数据总体的分布特性进行统计和推断。在两性生命表分析中,bootstrap不仅可以估算种群参数或一般统计值的方差和标准误,同时利用paired bootstrap test还可以比较不同处理间的差异,准确显示种群的变异性。利用相同的自我重复取样样本(same bootstrap samples)可以正确计算昆虫的孵化率与不同繁殖型对种群参数的贡献,并...