Valentine James W, Jablonski David, Kidwell Susan, Roy Kaustuv
Department of Integrative Biology, University of California, Berkeley, CA 94720, USA.
Proc Natl Acad Sci U S A. 2006 Apr 25;103(17):6599-604. doi: 10.1073/pnas.0601264103. Epub 2006 Apr 14.
Taxa that fail to become incorporated into the fossil record can reveal much about the biases of this record and provide the information needed to correct such biases in empirical analyses of the history of life. Yet little is known about the characteristics of taxa missing from the fossil record. For the marine Bivalvia, which have become a model system for macroevolutionary and macroecological analysis in the fossil record, 308 of the 1,292 living genera and subgenera (herein termed "taxa") are not recorded as fossils. These missing taxa are not a random sample of the clade, but instead tend to have small body size, reactive shell structures, commensal or parasitic habit, deep-sea distribution, narrow geographic range, restriction to regions exposing few Neogene marine sediments, or recent date of formal taxonomic description in the neontological literature. Most missing taxa show two or more of these features and tend to be concentrated in particular families. When we exclude the smallest taxa (<1 cm) and deep-sea endemics, date of published description and geographic range become the strongest predictors of the missing taxa; other factors are statistically insignificant or have relatively small effects. These biases might influence a variety of analyses including the use of fossil data in support of phylogenetic analyses, molecular clock calibrations, and analyses of spatial and temporal dynamics of clades and biotas. Clade inventories such as these can be used to develop protocols that minimize the biases imposed by sampling and preservation.
未能被纳入化石记录的分类群可以揭示出该记录的诸多偏差,并提供在对生命历史进行实证分析时纠正此类偏差所需的信息。然而,对于化石记录中缺失的分类群的特征,我们却知之甚少。对于海洋双壳纲动物而言,它们已成为化石记录中宏观进化和宏观生态分析的一个模型系统,在1292个现存属和亚属(在此称为“分类群”)中,有308个未被记录为化石。这些缺失的分类群并非该分支的随机样本,而是往往具有体型小、贝壳结构易反应、共生或寄生习性、深海分布、地理范围狭窄、局限于新近纪海洋沉积物暴露较少的区域,或者在新生物文献中正式分类描述的时间较近等特征。大多数缺失的分类群表现出这些特征中的两种或更多种,并且往往集中在特定的科中。当我们排除最小的分类群(<1厘米)和深海特有种时,已发表描述的时间和地理范围就成为缺失分类群的最强预测因素;其他因素在统计上不显著或影响相对较小。这些偏差可能会影响各种分析,包括利用化石数据支持系统发育分析、分子钟校准以及对分支和生物群的时空动态分析。这样的分支清单可用于制定方案,以尽量减少采样和保存所带来的偏差。