系统发育多样性(PD)与生物多样性保护:一些生物信息学挑战

D. Faith, A. Baker
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引用次数: 387

摘要

生物多样性保护通过封装在多样性措施中的估计来解决信息挑战。系统发育多样性的一种定量度量,“PD”,被定义为系统发育树上跨越一组给定分类群所需的所有系统发育分支的最小总长度(Faith 1992a)。虽然最近的一篇论文错误地将PD描述为不包括更深的系统发育分支的信息,但在过去十年的PD应用中,在评估一组分类群的总PD时,PD记录了共享深分支的适当结合。目前PD在澳大利亚新南威尔士州溪流中的大型无脊椎动物分类群中的应用说明了这一定义的实际重要性。系统发育谱系,通常对应于新的,“隐”,分类群,被限制在少数溪流的地方。最近的一个人类影响导致一个地区的分类群损失的案例意味着另一个地区的PD值更高,因为它现在唯一地代表更深的分支。这种基于分子的系统发育模式支持使用DNA条形码程序进行生物多样性保护规划。在这里,PD评估避开了基于条形码的“物种”指定的有争议的使用。生物信息学的挑战包括结合不同的系统发育证据,优化保护规划问题,以及系统发育信息与环境和社会经济数据的有效整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phylogenetic diversity (PD) and biodiversity conservation: some bioinformatics challenges
Biodiversity conservation addresses information challenges through estimations encapsulated in measures of diversity. A quantitative measure of phylogenetic diversity, “PD”, has been defined as the minimum total length of all the phylogenetic branches required to span a given set of taxa on the phylogenetic tree (Faith 1992a). While a recent paper incorrectly characterizes PD as not including information about deeper phylogenetic branches, PD applications over the past decade document the proper incorporation of shared deep branches when assessing the total PD of a set of taxa. Current PD applications to macroinvertebrate taxa in streams of New South Wales, Australia illustrate the practical importance of this definition. Phylogenetic lineages, often corresponding to new, “cryptic”, taxa, are restricted to a small number of stream localities. A recent case of human impact causing loss of taxa in one locality implies a higher PD value for another locality, because it now uniquely represents a deeper branch. This molecular-based phylogenetic pattern supports the use of DNA barcoding programs for biodiversity conservation planning. Here, PD assessments side-step the contentious use of barcoding-based “species” designations. Bioinformatics challenges include combining different phylogenetic evidence, optimization problems for conservation planning, and effective integration of phylogenetic information with environmental and socioeconomic data.
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