Lect_Molec_Data - Integrative Biology 200A"PRINCIPLES...

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Integrative Biology 200A "PRINCIPLES OF PHYLOGENETICS" University of California, Berkeley February 19, 2008. MOLECULAR DATA IN SYSTEMATICS I. Techniques - kinds of data -- intrinsically distance-based data: -- immunology (cross reaction of antibodies) -- DNA - DNA hybridization -- AFLPs - RAPDs -DNA fingerprinting -- microsatellites -- character-based data: -- allozymes -- restriction enzyme sites -- sequencing methods -- direct -- cloning -- PCR -- genomic data (gene arrangement) Spring 2008 B.D. Mishler II. Special features of molecular data -- purported advantages: -- closer to (or equal to) the genetic information. -- huge numbers of potential characters, especially useful in organisms with simple morphology. -- ability to homologize across very broad groups. -- independence from morphological characters which are perhaps more subject to adaptive convergence. -- ability to model or weight, because of relatively simple models of change. -- $$$. -- purported weaknesses: -- simplicity of characters (i.e., no ontogeny, few possible character states) leading to special problems with homoplasy. -- sampling problems. -- fossil taxa generally can't be included. -- highly conserved regions, used to reconstruct deep branching points, are perhaps more subject to adaptive convergence. -- $$$. Properties of a good marker, as compared between molecules (i.e., DNA sequence data) and morphology. 1) COMPLEXITY AND COMPARABILITY 2) DISCRETE STATES 3) HERITABILITY 4) INDEPENDENCE 5) LOW RATE OF CHANGE () 6) MANY POSSIBLE CHARACTER STATES molecules + + ? ? morphology + ? ? + III. Methods of analysis (an overview for now -- more later in the class) A. Phenetic -- molecular systematics is the last hold-out of phenetic methods as used for phylogenetic reconstruction. -- disadvantages: -- usually assumes molecular clock. -- many distance measures used are non-metric, therefore one can't interpret branch lengths. -- hides homoplasy. -- throws away the information on individual characters that was so laboriously obtained. -- advantages: -- ??? (at best able to mimic the results of a phylogenetic analysis) -- Averaging across whole genome? -- Avoiding problem of reticulation? (some argue phenetic methods are OK below species level, as in the field of "phylogeography"). B. Phylogenetic -- many molecular systematists are deeply concerned with adapting standard character-based methods of phylogenetic analysis (e.g., parsimony and Maximum likelihood) to these data; most of the issues we have already discussed are involved: -- homology (including alignment problems) -- what is a character? -- nucelotide positions -- character correlations -- structural rearrangements (i.e., deletions, inversions) - more below -- allozymes -- restriction sites: --RFLP's --mapping -- weighting: -- gains versus losses -- transitions versus transversions -- purines A G -- pyrimidines C T U -- codon position bias -- compensatory substitutions in RNA (due to secondary structure) -- compatibility, "signature nucleotides" (i.e., the "true" synapomorphy approach in a new guise) -- comparing different data sets (e.g., morphology versus molecules) -- maximum parsimony versus maximum likelihood (more later) -- the "window of opportunity": how to tell when it's open? -- considerations of lambda () IV. Comparing genomes -- synteny, rearrangements, insertions/deletions -- exon shuffling -- the gene "annotation" problem -- multigene families -- paralogy vs orthology -- the fate of duplicated genes: ghost genes, subfunctionalization V. Recommendations (Mishler's Aphorisms): -- treat these data as any other; if the object is phylogeny reconstruction, use phylogenetic methods. -- include all available data in an analysis, even if your own focus has been on molecules; it makes no sense to ignore older data just because newer data have been generated. Simplified cladogram of the 'many-to-many' -- be wary of consensus tree approaches; relationships of classical nuclear receptors. they may be worthwhile as part of the analysis, Triangles indicate expansion within one but it is probably best to combine all putative lineage; bars represent single members. Numbers in parentheses indicate the number homologies into one matrix (perhaps with of paralogues in each group. weighting if this can be independently justified). -- for reconstructing deep splits, it is much better to sequence portions of several different genes, scattered around the nuclear and organelle genomes, than it is to concentrate on extensive sequencing of a single gene (because of the problem of tight selective constraints on any one highly conserved region). Or for that matter, use morphology or genome structure. -- it is probably better to break large surveys down into reasonable local analyses, to avoid spurious homoplasy (e.g., instead of putting all eukaryotes into one huge matrix, work on relationships within smaller, a priori justified monophyletic groups, and later link those groups together using archetypes: "compartmentalization" -- see earlier lecture on characters). -- molecular evolutionary studies and phylogeny reconstruction using molecules are two very different goals; for the former purpose, one should use phylogenies based on morphology (and other characters, perhaps including molecules -- but not the molecules that are being studied evolutionary). "Synteny" From: Biochemistry & Molecular Biology of Plants edited by Bob B. Buchanan, Wilhelm Gruissem, Russell L. Jones. 2000. Multiple gene inversion characters across Green Plants 22 gene inversion in LSC Grasses 5 gene inversion in LSC Pteridophytes s.s. 28 gene inversion in LSC euphyllophytes 12 gene inversion and 13 gene inversion and translocation in LSC Chaetosphaeridium 13 gene inversion Adiantum (other leptosporangiate ferns, but not Osmunda) 33 gene inversion in LSC Oenothera 11 gene inversion Pinus (associated with loss of IR in conifers) 75 gene inversion in LSC Physcomitrella D.G. Kelch, A. Driskell, and B.D. Mishler. 2004. Inferring phylogeny using genomic characters: a case study using land plant plastomes, In B. Goffinet, V. Hollowell, and R. Magill (eds.), Molecular Systematics of Bryophytes [Monographs in Systematic Botany 98], pp. 3-12. Missouri Botanical Garden Press, St. Louis. ...
View Full Document

{[ snackBarMessage ]}

Ask a homework question - tutors are online