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    Emerging Genomic and Proteomic Evidence on Relationships Among the Animal, Plant and Fungal Kingdoms

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    Author
    Stiller, John W
    Abstract
    Sequence-based molecular phylogenies have provided new models of early eukaryotic evolution. This includes the widely accepted hypothesis that animals are related most closely to fungi, and that the two should be grouped together as the Opisthokonta. Although most published phylogenies have supported an opisthokont relationship, a number of genes contain a tree-building signal that clusters animal and green plant sequences, to the exclusion of fungi. The alternative tree-building signal is especially intriguing in light of emerging data from genomic and proteomic studies that indicate striking and potentially synapomorphic similarities between plants and animals. This paper reviews these new lines of evidence, which have yet to be incorporated into models of broad scale eukaryotic evolution.
    URI
    http://hdl.handle.net/10342/7740
    Subject
    genomics, proteomics, evolution, animals, plants, fungi
    Date
    2004-05
    Citation:
    APA:
    Stiller, John W. (May 2004). Emerging Genomic and Proteomic Evidence on Relationships Among the Animal, Plant and Fungal Kingdoms. Genomics Proteomics Bioinformatics, (2:2), p.70-76. Retrieved from http://hdl.handle.net/10342/7740

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    Stiller, John W. "Emerging Genomic and Proteomic Evidence on Relationships Among the Animal, Plant and Fungal Kingdoms". Genomics Proteomics Bioinformatics. 2:2. (70-76.), May 2004. February 27, 2021. http://hdl.handle.net/10342/7740.
    Chicago:
    Stiller, John W, "Emerging Genomic and Proteomic Evidence on Relationships Among the Animal, Plant and Fungal Kingdoms," Genomics Proteomics Bioinformatics 2, no. 2 (May 2004), http://hdl.handle.net/10342/7740 (accessed February 27, 2021).
    AMA:
    Stiller, John W. Emerging Genomic and Proteomic Evidence on Relationships Among the Animal, Plant and Fungal Kingdoms. Genomics Proteomics Bioinformatics. May 2004; 2(2) 70-76. http://hdl.handle.net/10342/7740. Accessed February 27, 2021.
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