CAJ | 학술논문

包括变性梯度凝胶电泳实验、16S rDNA克隆库、DNA 生物芯片在内的分子生物学技术表明在自然环境中物种存在极端多样性.这些种类绝大多数都是不可培养的,不能完全了解其特征.通常运用Shannon和Simpson的经验参数来评估多样性.这些参数依赖于样品的大小r不可靠.目前3种有效途径,即参数评估、非参数评估和系统多样性评估来解决生物多样性问题,同时和分子学技术相结合,三者可以增加种群数以及多样性评估的正确性,并可以在不同群落间进行严格比照.
포괄변성제도응효전영실험、16S rDNA극륭고、DNA 생물심편재내적분자생물학기술표명재자연배경중물충존재겁단다양성.저사충류절대다수도시불가배양적,불능완전료해기특정.통상운용Shannon화Simpson적경험삼수래평고다양성.저사삼수의뢰우양품적대소r불가고.목전3충유효도경,즉삼수평고、비삼수평고화계통다양성평고래해결생물다양성문제,동시화분자학기술상결합,삼자가이증가충군수이급다양성평고적정학성,병가이재불동군락간진행엄격비조.
Molecular techniques, such as denaturing gradient gel electrophoresis (DGGE), 16S rDNA clone library, and DNA microarray, reveal extraordinarily diverse species in the natural environment. Most of these species are unculturable and cannot be characterized precisely. Empirical indices like Shanon and Simpson have been traditionally used to evaluate the diversity. These indices, however, have certain disadvantages because of their dependence on sample sizes. To overcome such disadvantages, three approaches have been developed, which include parametric estimation, nonparametric estimation, and phylogenetic diversity estimation. These methods when integrated with molecular techniques, can enhance accurate estimation of species richness and diversity, and allow rigorous comparisons of different communities.