71 resultados para Nelson family.
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蓝子鱼科鱼类隶属于鲈形目、刺尾鱼亚目,广泛分布于我国东海、南海及台湾海域。本文根据中国科学院海洋研究所多年来在我国海域采集并收藏的以及部分补充采集的蓝子鱼标本,参考国际最新研究资料,对我国海域蓝子鱼科鱼类进行分类和动物地理学研究,共记录中国海域蓝子鱼科鱼类1属2亚属11种。经研究分析,得到如下结论: 1.中国沿海蓝子鱼科鱼类的多样性问题。国内曾有13种蓝子鱼的分布记录,其中蠕纹蓝子鱼Siganus vermiculatus和暗体蓝子鱼S. punctatissimus仅以前的学者做过名录形式的记载,并无标本收藏,本文中不做介绍。此外尖嘴蓝子鱼Siganus unimaculatus也可能存在于中国海域,有待于进一步研究。目前确定在中国海域有分布的蓝子鱼为11种,约占世界总种数(27)的40%多,种的多样性较高。 2. 形态学比较研究说明,蓝子鱼在体形、体色、牙齿、头骨、椎骨、耳石等特征方面存在种间差异,可作为蓝子鱼科鱼类分类的有效鉴别特征。对于外部形态极其相似的种,可借助内部解剖特征相辅助予以区分。 3.对蓝子鱼动物地理学特点研究分析结论如下:a.中国海域存在的11种蓝子鱼在印度-太平洋海域均有分布,没有地方特有种。b.长鳍蓝子鱼和褐蓝子鱼在我国东海、台湾海域和南海均有分布,褐蓝子鱼在黄海北部亦有分布,种群数量较大;其它9种,除凹吻蓝子鱼仅分布于南海外,均分布于南海及台湾海域,种群数量较小。c.中国海域蓝子鱼种类组成与邻近的菲律宾、马来西亚、印度尼西亚海域比较相似,中国分布的种类在这些海域均有分布,且分布于这一区域而中国没有记录的有5种。与日本相比,种类组成也比较相似,中日共有种达9种,仅分布于中国海域2种,仅分布于日本海域1种。 4. 作者参照国际最新研究结果和较为公认的分类系统Nelson(1994),将蓝子鱼科置于刺尾鱼亚目,而不再使用国内学者长期惯用的蓝子鱼亚目。蓝子鱼科包括一属蓝子鱼属Siganus Forsskål, 1775,两亚属:蓝子鱼亚属Siganus Forsskål, 1775 和罗蓝子鱼亚属 Lo Seale, 1906,同时使全部种名的变动和确定与国际最新研究结果(Woodland, 1990; 2001)取得一致。
Resumo:
By using AKNS [Phys. Rev. Lett. 31 (1973) 125] system and introducing the wave function, a family of interesting exact solutions of the sine-Gordon equation are constructed. These solutions seem to be some soliton, kink, and anti-kink ones respectively for the different choice of the spectrum, whereas due to the interaction between two traveling-waves they have some properties different from usual soliton, kink, and anti-kink solutions.
Resumo:
As a basic tool of modern biology, sequence alignment can provide us useful information in fold, function, and active site of protein. For many cases, the increased quality of sequence alignment means a better performance. The motivation of present work is to increase ability of the existing scoring scheme/algorithm by considering residue–residue correlations better. Based on a coarse-grained approach, the hydrophobic force between each pair of residues is written out from protein sequence. It results in the construction of an intramolecular hydrophobic force network that describes the whole residue–residue interactions of each protein molecule, and characterizes protein's biological properties in the hydrophobic aspect. A former work has suggested that such network can characterize the top weighted feature regarding hydrophobicity. Moreover, for each homologous protein of a family, the corresponding network shares some common and representative family characters that eventually govern the conservation of biological properties during protein evolution. In present work, we score such family representative characters of a protein by the deviation of its intramolecular hydrophobic force network from that of background. Such score can assist the existing scoring schemes/algorithms, and boost up the ability of multiple sequences alignment, e.g. achieving a prominent increase (50%) in searching the structurally alike residue segments at a low identity level. As the theoretical basis is different, the present scheme can assist most existing algorithms, and improve their efficiency remarkably.
Resumo:
The molecular mechanics property is the foundation of many characters of proteins. Based on intramolecular hydrophobic force network, the representative family character underlying a protein’s mechanics property is described by a simple two-letter scheme. The tendency of a sequence to become a member of a protein family is scored according to this mathematical representation. Remote homologs of the WW-domain family could be easily designed using such a mechanistic signature of protein homology. Experimental validation showed that nearly all artificial homologs have the representative folding and bioactivity of their assigned family. Since the molecular mechanics property is the only consideration in this study, the results indicate its possible role in the generation of new members of a protein family during evolution.
Molecular phylogeny of the fern family Dryopteridaceae inferred from chloroplast rbcL and atpB genes