Why Trees Are Important

Edward O. Wiley

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Why Trees Are Important

机译：为什么树木很重要

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The Tree of Life is the result of the interplay of changes in information and speciation. Almost 100 years after publication of Darwin’s Origin, the inception of Phylogenetic Systematics has resulted in a revolution in data inference. I briefly trace the development of this revolution and show examples of how data are interpreted relative to phylogenetic trees. I then provide brief discussions of how to read tree diagrams and the need to access the quality of phylogenetic inference.

机译：生命之树是信息和物种变化相互作用的结果。在《达尔文起源》发表近100年后，系统发育系统学的诞生引发了数据推断的一场革命。我简要跟踪了这场革命的发展，并举例说明了如何相对于系统树解释数据。然后，我将简要讨论如何阅读树形图以及访问系统发育推断质量的需求。

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来源
《Evolution》 |2010年第4期|共页
作者
Edward O. Wiley;
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正文语种
中图分类普通生物学;
关键词
Phylogenetic systematicsPhylogenetic treesCladistics;

机译：系统发育的系统发育树种;

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机译：尺寸 - 生长关系，树空间模式和树木竞争影响树的增长并在160年的红松一致性中展望复杂性
2. Sacred fig trees promote frugivore visitation and tree seedlingTI Sacred fig trees promote frugivore visitation and tree seedling abundance in South India [J] . Caughlin TT, Ganesh T, Lowman MD Current Science: A Fortnightly Journal of Research . 2012,第6期

机译：无花果树促进果蝇走访和树木育苗TI印度无花果树促进果蝇走访和树木育苗
3. ICESat-2 and the Trees Around the GLOBE student research campaign: Looking at Earth's tree height, one tree at a time [J] . Campbell Brian A. Acta astronautica . 2021,第May期

机译：ICESAT-2和全球学生研究活动周围的树木：看地球的树高，一棵树一次
4. RELIABILITY ANALYSIS OF TREE, D-TREE, X-TREE AND DX-TREE MESSAGE PASSING ARCHITECTURE! [C] . Hamid Abachi, M. Abdollahian, M. Reid, ISCA international conference on computers and their applications . 1998

机译：树，D树，X树和DX树消息传递架构的可靠性分析！
5. A Comparison of the Product Topology on Two Trees with the Tree Topology on the Concatenation of Two Trees [D] . Cox, Katlyn K. 2018

机译：两棵树的产品拓扑与两棵树串联的树拓扑的比较
6. Short Tree Long Tree Right Tree Wrong Tree: New Acquisition Bias Corrections for Inferring SNP Phylogenies [O] . Adam D. Leaché, Barbara L. Banbury, Joseph Felsenstein, -1

机译：短树长树正确的树错误的树：用于推断SNP系统发育的新采集偏差校正
7. Figure 6: (A) Tree resulted the standard MP analysis of the 98-loci supermatrix of the Great Apes (Hominidae, Primates, Mammalia) constructed using the modified summary of Lehtonen et al. (2011) (see “Materials and Methods” for the details) and a posteriori rooted relatively Papio (length = 12,092, CI = 0.7877, RI = 0.5597); 34,022 characters are constant, and the number of the parsimony-informative characters is equal to 4,311. MP BS values are provided below branches. The only characters with non-ambiguous value of the outgroup (Papio) have been saved within concatenated alignment; (B) the average consensus tree of the score 0.00084 resulted the analysis of the Hennigian forest of the 5,507 trees derived from the binary representation of the 98-loci supermatrix of the Great Apes (Hominidae, Primates, Mammalia) (see “Materials and Methods” for the details); Papio is assumed to be the best all-plesiomorphic group. “Additional…” FORESTER’s output tree file (see “Materials and Methods” for the details) selected for future analyses; (C) the average consensus tree of the score 0.00090 resulted the analysis of the Hennigian forest of the 5,339 trees derived from the modified binary representation of the 98-loci supermatrix of the Great Apes (Hominidae, Primates, Mammalia) (see 6.I. and “Materials and Methods” for the details), but with all 168 trees, which contain the clade (Homo plus Pan) have been removed from the input forest. “Additional…” FORESTER’s output tree file (see “Materials and Methods”) selected for future analyses. [O] . -1

机译：图6：（A）树导致的标准MP分析的98-基因座的类人猿（人科，灵长类动物，哺乳动物），使用莱赫托宁等人的修改的摘要构成的超级矩阵。（2011）（参见细节“材料和方法”）以及相对植根狒狒后验概率（长度= 12092，CI = 0.7877，RI = 0.5597）; 34022个字符是恒定的，并且简约信息的字符数等于4311。下面提供分支MP BS值。与外类群（狒狒）的非模糊值的唯一的字符已被保存的级联对准内; （B）的得分0.00084的平均一致树导致从巨猿（原始人类，灵长类动物，哺乳动物）的98座超级矩阵的二进制表示获得的5507棵的Hennigian森林的分析（见“材料和方法”为细节）;狒狒被认为是最好的全祖征群。 “其他...” FORESTER的输出树文件（请参阅详细信息“材料和方法”），用于进一步的分析; （C）的分数0.00090的平均一致树导致从98个位点的类人猿（人科，灵长类动物，哺乳动物）的超级矩阵（见6.I的改性二进制表示导出的5339种树木的Hennigian森林的分析以及“材料和方法”的详细说明），但所有168棵，其中包含的分支（智人加PAN）已经从输入林中删除。 “其他...” FORESTER的输出树文件（参见“材料和方法”），用于进一步的分析。

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