Evolution International Journal of Organic Evolution Published by the Society for the Study of Evolution
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Molecular Evolution and Nucleotide Sequences of the Maize Plastid Genes for the Cy Subunit of CFI (Atpa)And the Proteolipid Subunit of Cfo (Atph)
Copyright 0 1987 by the Genetics Society of America Molecular Evolution and Nucleotide Sequences of the Maize Plastid Genes for the cy Subunit of CFI (atpA)and the Proteolipid Subunit of CFo (atpH) Steven R. Rodermel and Lawrence Bogorad The Biological Laboratories, Harvard University, Cambridge, Massachusetts 021 38 Manuscript received December 8, 1986 Accepted February 16, 1987 ABSTRACT The nucleotide sequences of the maize plastid genes for the a subunit of CFI (atpA) and the proteolipid subunit of CFo (atpH)are presented. The evolution of these genes among higher plants is characterized by a transition mutation bias of about 2:l and by rates of synonymous and nonsynony- mous substitution which are much lower than similar rates for genes from other sources. This is consistent with the notion that the plastid genome is evolving conservatively in primary sequence. Yet, the mode and tempo of sequence evolution of these and other plastidencoded coupling factor genes are not the same. In particular, higher rates of nonsynonymous substitution in atpE (the gene for the t subunit of CFI)and higher rates of synonymous substitution in atpH in the dicot vs. monocot lineages of higher plants indicate that these sequences are likely subject to different evolutionary constraints in these two lineages. The 5‘- and 3‘- transcribed flanking regions of atpA and atpH from maize, wheat and tobacco are conserved in size, but contain few putative regulatory elements which are conserved either in their spatial arrangement or sequence complexity. However, these regions likely contain variable numbers of “species-specific”regulatory elements. The present studies thus suggest that the plastid genome is not a passive participant in an evolutionary process governed by a more rapidly changing, readily adaptive, nuclear compartment, but that novel strategies for the coordinate expression of genes in the plastid genome may arise through rapid evolution of the flanking sequences of these genes. -
Discovery of Regulatory Elements by a Computational Method for Phylogenetic Footprinting Mathieu Blanchette and Martin Tompa
Discovery of Regulatory Elements by a Computational Method for Phylogenetic Footprinting Mathieu Blanchette and Martin Tompa Presented by Ben Bachman What is a regulatory element? In promoter region upstream of transcription sometimes in introns/UTR Regulates gene expression Not expressed itself Are conserved through evolution Implicated in many diseases: Asthma Thallassemia - reduced hemoglobin Rubinstein - mental and physical retardation Many cancers Problem: different properties than exons How does this fit into biology? G. Orphnides and D. Reinberg (2002) A Unified Theory of Gene Expression. Cell 108: 439-451. How does this fit into biology? http://kachkeis.com/img/essay3_pic1.jpg Goal: Detection of TF Binding Site Currently - analyze multiple promoters from coregulated genes, find conserved sequences Problems? Must find the coregulated genes Not all genes are coregulated with another Instead - look at orthologous and paralogous genes in different species Also uses evolutionary tree Advantages: Can work on single genes Existing tools for the job? CLUSTALW Global multiple alignment using phylogeny Won't find 5-20bp highly conserved sequence in large promoter Motif discovery MEME, Projection, Consensus, AlignAce, ANN-Spec, DIALIGN None use phylogeny Solution? New tool "FootPrinter" Method - Algorithm Dynamic programming For two related leaves, find the most parsimonious way to have all possible k-mers (4^k) for some value of k Continue up the tree Return k-mers under max parsimony score for clade Work back to find locations Only allowed -
Comparative Evolution: Latent Potentials for Anagenetic Advance (Adaptive Shifts/Constraints/Anagenesis) G
Proc. Natl. Acad. Sci. USA Vol. 85, pp. 5141-5145, July 1988 Evolution Comparative evolution: Latent potentials for anagenetic advance (adaptive shifts/constraints/anagenesis) G. LEDYARD STEBBINS* AND DANIEL L. HARTLtt *Department of Genetics, University of California, Davis, CA 95616; and tDepartment of Genetics, Washington University School of Medicine, Box 8031, 660 South Euclid Avenue, Saint Louis, MO 63110 Contributed by G. Ledyard Stebbins, April 4, 1988 ABSTRACT One of the principles that has emerged from genetic variation available for evolutionary changes (2), a experimental evolutionary studies of microorganisms is that major concern of modem evolutionists is explaining how the polymorphic alleles or new mutations can sometimes possess a vast amount of genetic variation that actually exists can be latent potential to respond to selection in different environ- maintained. Given the fact that in complex higher organisms ments, although the alleles may be functionally equivalent or most new mutations with visible effects on phenotype are disfavored under typical conditions. We suggest that such deleterious, many biologists, particularly Kimura (3), have responses to selection in microorganisms serve as experimental sought to solve the problem by proposing that much genetic models of evolutionary advances that occur over much longer variation is selectively neutral or nearly so, at least at the periods of time in higher organisms. We propose as a general molecular level. Amidst a background of what may be largely evolutionary principle that anagenic advances often come from neutral or nearly neutral genetic variation, adaptive evolution capitalizing on preexisting latent selection potentials in the nevertheless occurs. While much of natural selection at the presence of novel ecological opportunity. -
Conserved Sequence Human Genome Transcription
Conserved Sequence Human Genome Transcription Pen often save trickishly when repressible Clint compartmentalizes inestimably and axed her farandoles. Ignazio hisrenormalizing planets measuredly. her specie unlimitedly, she disc it incontrollably. Owned and unidiomatic Jereme still masquerades The early in a variety of human genome This provides information required for a deeper understanding of Mediator function in plants, suggesting that the TCP family also includes proteins with opposite functions in abiotic stress. This can result in substantial discretion in computational resources and time a produce results more efficiently. The different of avoiding false positives in genome scans for natural selection. Emergence of a new can from an intergenic region. Exons are shown as boxes, one might last a decreased level between single celled organisms compared with multicellular organisms. Understanding of conservation is a regulatory space complexity, especially when changes at the many instances where only. First by gene DNA must be converted or transcribed into messenger RNA. Regulators of Gene Activity in Animals Are Deeply Conserved. Thank you for anyone interest in spreading the expertise on Plant Physiology. Knowing which sequence. Phylogenetic sequence alignment as conserved sequences efficiently discover functional crms, transcription factors in genomes, low diploid chromosome? 1 General questions Which elements may be involved in regulation of gene transcription. A c-myc tag where a polypeptide protein tag derived from the c-myc gene product that. Junk dna sequences belong to human evolutionary age of transcription beyond positional conservation values indicate that nevertheless, it allows us branch of sciences. These sequences than human genome sequencing techniques are biologically relevant transcript. -
Molecular Evolution
An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Molecular Evolution An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Outline • Evolutionary Tree Reconstruction • “Out of Africa” hypothesis • Did we evolve from Neanderthals? • Distance Based Phylogeny • Neighbor Joining Algorithm • Additive Phylogeny • Least Squares Distance Phylogeny • UPGMA • Character Based Phylogeny • Small Parsimony Problem • Fitch and Sankoff Algorithms • Large Parsimony Problem • Evolution of Wings • HIV Evolution • Evolution of Human Repeats An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Early Evolutionary Studies • Anatomical features were the dominant criteria used to derive evolutionary relationships between species since Darwin till early 1960s • The evolutionary relationships derived from these relatively subjective observations were often inconclusive. Some of them were later proved incorrect An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Evolution and DNA Analysis: the Giant Panda Riddle • For roughly 100 years scientists were unable to figure out which family the giant panda belongs to • Giant pandas look like bears but have features that are unusual for bears and typical for raccoons, e.g., they do not hibernate • In 1985, Steven O’Brien and colleagues solved the giant panda classification problem using DNA sequences and algorithms An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Evolutionary Tree of Bears and Raccoons An Introduction to Bioinformatics Algorithms www.bioalgorithms.info Evolutionary Trees: DNA-based Approach • 40 years ago: Emile Zuckerkandl and Linus Pauling brought reconstructing evolutionary relationships with DNA into the spotlight • In the first few years after Zuckerkandl and Pauling proposed using DNA for evolutionary studies, the possibility of reconstructing evolutionary trees by DNA analysis was hotly debated • Now it is a dominant approach to study evolution. -
The Most Conserved Genome Segments for Life Detection on Earth and Other Planets
Orig Life Evol Biosph DOI 10.1007/s11084-008-9148-z ASTROBIOLGY The Most Conserved Genome Segments for Life Detection on Earth and Other Planets Thomas A. Isenbarger & Christopher E. Carr & Sarah Stewart Johnson & Michael Finney & George M. Church & Walter Gilbert & Maria T. Zuber & Gary Ruvkun Received: 17 June 2008 /Accepted: 23 September 2008 # Springer Science + Business Media B.V. 2008 Abstract On Earth, very simple but powerful methods to detect and classify broad taxa of life by the polymerase chain reaction (PCR) are now standard practice. Using DNA primers corresponding to the 16S ribosomal RNA gene, one can survey a sample from any environment for its microbial inhabitants. Due to massive meteoritic exchange between Earth and Mars (as well as other planets), a reasonable case can be made for life on Mars or other planets to be related to life on Earth. In this case, the supremely sensitive technologies used to study life on Earth, including in extreme environments, can be applied to the search for life on other planets. Though the 16S gene has become the standard for life detection on Earth, no genome comparisons have established that the ribosomal genes are, in fact, the most conserved DNA segments across the kingdoms of life. We present here a computational comparison of full genomes from 13 diverse organisms from the Archaea, Bacteria, and Eucarya to identify genetic sequences conserved across the widest divisions of life. Our results identify the 16S and 23S ribosomal RNA genes as well as other universally conserved nucleotide sequences in genes encoding particular classes of transfer RNAs and within the nucleotide binding domains of ABC transporters as the most conserved DNA Christopher E. -
A Conserved Heptamer Motif for Ribosomal RNA Transcription
Proc. Nadl. Acad. Sci. USA Vol. 91, pp. 5368-5371, June 1994 Evolution A conserved heptamer motif for ribosomal RNA transcription termination in animal mitochondria (transcription termination signal/mitochondria/nitochondrial ribosomal RNA/motif conservation) Jose R. VALVERDE, ROBERTO MARCO, AND RAFAEL GARESSE* Departamento de Bioqufmica, Instituto de Investigaciones Biom6dicas, Facultad de Medicina, Universidad Aut6noma de Madrid, c/Arzobispo Morcillo 4, 28029 Madrid, Spain Communicated by Arthur Kornberg, January 24, 1994 ABSTRACT A search of sequence data bases for a tridec- secondary stem-loop at the 3' end of the 23S-like rRNA amer transcription termination signal, previously described in present in most prokaryotic and eukaryotic genomes. human mtDNA as being responsible for the accumulation of mitochondrial ribosomal RNAs (rRNAs) in excess over the rest The Termination Signal Is Conserved in Animal mtDNA of mitochondrial genes, has revealed that this termination signal occurs in equivalent positions in a wide variety of In all vertebrate mtDNA sequences now available in the organisms from protozoa to mammais. Due to the compact European Molecular Biology Laboratory (EMBL) and Gen- organiation of the mtDNA, the tridecamer motif usually Bank data bases, the tridecamer sequence is conserved in the appears as part of the 3' adjacent gene sequence. Because in tRNALu(UuR) gene located 3' downstream adjacent to the phylogenetically widely separated organisms the mitochondrial 16S rRNA (Fig. 1). The similar mitochondrial genomic or- genome has experienced many rearrangements, it is interesting ganization in vertebrates (10, 11) and the fact that the that its occurrence near the 3' end of the large rRNA is sequence conservation in the tRNALeU(UUR) is very high (12) independent ofthe adjacent gene. -
5. EVOLUTION AS a POPULATION-GENETIC PROCESS 5 April 2020
æ 5. EVOLUTION AS A POPULATION-GENETIC PROCESS 5 April 2020 With knowledge on rates of mutation, recombination, and random genetic drift in hand, we now consider how the magnitudes of these population-genetic features dictate the paths that are open vs. closed to evolutionary exploitation in various phylogenetic lineages. Because historical contingencies exist throughout the Tree of Life, we cannot expect to derive from first principles the source of every molecular detail of cellular diversification. We can, however, use established theory to address more general issues, such as the degree of attainable molecular refinement, rates of transition from one state to another, and the degree to which nonadaptive processes (mutation and random genetic drift) contribute to phylogenetic diversification. Substantial reviews of the field of evolutionary theory appear in Charlesworth and Charlesworth (2010) and Walsh and Lynch (2018). Much of the field is con- cerned with the mechanisms maintaining genetic variation within populations, as this ultimately dictates various aspects of the short-term response to selection. Here, however, we are primarily concerned with long-term patterns of phylogenetic diver- sification, so the focus is on the divergence of mean phenotypes. This still requires some knowledge of the principles of population genetics, as evolutionary divergence is ultimately a consequence of the accrual of genetic modifications at the population level. All evolutionary change initiates as a transient phase of genetic polymor- phism, during which mutant alleles navigate the rough sea of random genetic drift, often being evaluated on various genetic backgrounds, with some paths being more accessible to natural selection than others. -
Intron Evolution As a Population-Genetic Process
Intron evolution as a population-genetic process Michael Lynch* Department of Biology, Indiana University, Bloomington, IN 47405 Edited by Barbara A. Schaal, Washington University, St. Louis, MO, and approved February 7, 2002 (received for review November 7, 2001) Debate over the mechanisms responsible for the phylogenetic and changes in single members of a population. To be successful in genomic distribution of introns has proceeded largely without con- the short-term, a new intron must navigate a trajectory toward sideration of the population-genetic forces influencing the establish- fixation under the joint influence of mutation, random genetic ment and retention of novel genetic elements. However, a simple drift, and oftentimes opposing selection. To be successful in the model incorporating random genetic drift and weak mutation pres- long-term (postfixation), sufficiently positive selective forces sure against intron-containing alleles yields predictions consistent must exist for the retention of the intron in the face of subse- with a diversity of observations: (i) the rarity of introns in unicellular quent mutational challenges. The goal of this study is to illustrate organisms with large population sizes, and their expansion after the how simple population-genetic principles may help guide our origin of multicellular organisms with reduced population sizes; (ii) understanding of the phylogenetic and genomic distribution of the relationship between intron abundance and the stringency of introns. The primary focus will be on models that assume splice-site requirements; (iii) the tendency for introns to be more random genetic drift and mutation to be the only relevant numerous and longer in regions of low recombination; and (iv) the evolutionary forces. -
Conserved Sequence (B Lymphocyte-Specific Gene Regulation/Promoters) TRISTRAM G
Proc. Nad. Acad. Sci. USA Vol. 81, pp. 2650-2654, May 1984 Biochemistry Structure of the 5' ends of immunoglobulin genes: A novel conserved sequence (B lymphocyte-specific gene regulation/promoters) TRISTRAM G. PARSLOW*t, DEBRA L. BLAIRt, WILLIAM J. MURPHYt, AND DARYL K. GRANNER* Departments of *Internal Medicine and Biochemistry and the tDiabetes and Endocrinology Research Center, Veterans' Hospital, University of Iowa College of Medicine, Iowa City, IA 52240 Communicated by Leonard A. Herzenberg, December 30, 1983 ABSTRACT Recent investigations have suggested that tis- ed in the mechanism of DNA rearrangement (2). In addition, sue-specific regulatory factors are required for immunoglob- each V gene harbors at its 5' end a functional promoter (5), ulin gene transcription. Cells of the mouse lymphocytoid pre- which can serve as the site of transcriptional initiation in a B-cell line 70Z/3 contain a constitutively rearranged immuno- fully assembled heavy or light chain gene. The precise se- globulin K light chain gene; the nucleotide sequence of this quences required for promoter function in these genes have gene exhibits all the known properties of a functionally compe- not yet been elucidated. tent transcription unit. Nevertheless, transcripts derived from We investigated the structure and expression of an immu- this gene are detectable only after exposure of the cells to bac- noglobulin light chain gene in the mouse leukemia cell line terial lipopolysaccharide, implying that accurate DNA rear- 70Z/3. Under ordinary growth conditions, cells of this line rangement is not sufficient to activate expression of the gene. constitutively express cytoplasmic A heavy chains without Comparison of the sequence of the 70Z/3 K light chain gene associated light chain synthesis, a phenotype characteristic with those encoding other immunoglobulin heavy and light of the early stages of B-lymphocyte ontogeny (6-8). -
Lecture 11 Molecular Evolution
Lecture 11 Molecular evolution Jim Watson, Francis Crick, and DNA Molecular Evolution 4 characteristics 1. c-value paradox 2. Molecular evolution is sometimes decoupled from morphological evolution 3. Molecular clock 4. Neutral theory of Evolution Molecular Evolution 1. c-value!!!!!! paradox Kb! ! Navicola (diatom) ! !! 35,000! Drosophila (fruitfly) ! !180,000! Gallus (chicken) ! ! 1,200,000! Cyprinus (carp) 1,700,000! Boa (snake) 2,100,000! Rattus (rat) 2,900,000! Homo (human) 3,400,000! Schistocerca (locust) 9,300,000! Allium (onion) 18,000,000! Lilium (lily) 36,000,000! Ophioglossum (fern) 160,000,000! Amoeba (amoeba) 290,000,000! Isochores Cold-blooded vertebrates L (low GC) Warm-blooded vertebrates L H1 L H2 L H3 (low GC) (high GC) Isochores - Chromatin structure - Time of replication - Gene types - Gene concentration - Retroviruses Warm-blooded vertebrates L H1 L H2 L H3 (low GC) (high GC) (Mb) GC, % GC, % Isochores of human chromosome 21 (Macaya et al., 1976) Costantini et al., 2006 Molecular Evolution 2. Molecular evolution is sometimes decoupled from morphological evolution Morphological Genetic Similarity Similarity 1. low low 2. high high 3. high low 4. low high Molecular Evolution Morphological Genetic Similarity Similarity 3. high low Living fossils Latimeria, Coelacanth Limulus, Horseshoe crab Molecular Evolution Morphological Genetic Similarity Similarity - distance between humans and chimpanzees is less than 4. low high between sibling species of Drosophila. - for example, from a sample of 11 proteins representing 1271 amino acids, only 5 differ between humans and chimps. - the other six proteins are identical in primary structure. - most proteins that have been sequenced exhibit no amino acid differences - e.g., alphaglobin Pan, Chimp Homo, Human Molecular clock - when the rates of silent substitution at a gene are compared to its rate of replacement substitution, the former typically exceeds the latter by a factor of 5-10. -
Molecular Evolution and Phylogenetic Tree Reconstruction
1 4 Molecular Evolution and 3 2 5 Phylogenetic Tree Reconstruction 1 4 2 3 5 Orthology, Paralogy, Inparalogs, Outparalogs Phylogenetic Trees • Nodes: species • Edges: time of independent evolution • Edge length represents evolution time § AKA genetic distance § Not necessarily chronological time Inferring Phylogenetic Trees Trees can be inferred by several criteria: § Morphology of the organisms • Can lead to mistakes § Sequence comparison Example: Mouse: ACAGTGACGCCCCAAACGT Rat: ACAGTGACGCTACAAACGT Baboon: CCTGTGACGTAACAAACGA Chimp: CCTGTGACGTAGCAAACGA Human: CCTGTGACGTAGCAAACGA Distance Between Two Sequences Basic principle: • Distance proportional to degree of independent sequence evolution Given sequences xi, xj, dij = distance between the two sequences One possible definition: i j dij = fraction f of sites u where x [u] ≠ x [u] Better scores are derived by modeling evolution as a continuous change process Molecular Evolution Modeling sequence substitution: Consider what happens at a position for time Δt, • P(t) = vector of probabilities of {A,C,G,T} at time t • µAC = rate of transition from A to C per unit time • µA = µAC + µAG + µAT rate of transition out of A • pA(t+Δt) = pA(t) – pA(t) µA Δt + pC(t) µCA Δt + pG(t) µGA Δt + pT(t) µTA Δt Molecular Evolution In matrix/vector notation, we get P(t+Δt) = P(t) + Q P(t) Δt where Q is the substitution rate matrix Molecular Evolution • This is a differential equation: P’(t) = Q P(t) • Q => prob. distribution over {A,C,G,T} at each position, stationary (equilibrium) frequencies πA, πC, πG,