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167 results for “Sequence Evolution”
Figure 1 from: Shah AA, Ahmad M, Ul-Haq T (2018) Deciphering conserved identical sequences of mature miRNAs among six members of great apes. Zoosystematics and Evolution 94(2): 401-408. https://doi.org/10.3897/zse.94.28099
Figure 1 Shows evolutionary relationships of taxa for all mature miRNAs in Homosapiens. The analysis involved 29 nucleotide sequences.
Figure 3 from: Shah AA, Ahmad M, Ul-Haq T (2018) Deciphering conserved identical sequences of mature miRNAs among six members of great apes. Zoosystematics and Evolution 94(2): 401-408. https://doi.org/10.3897/zse.94.28099
Figure 3 Illustrate evolutionary relationships of taxa for Pongopygmaeus. The analysis involved 8 nucleotide sequences.
Figure 6 from: Shah AA, Ahmad M, Ul-Haq T (2018) Deciphering conserved identical sequences of mature miRNAs among six members of great apes. Zoosystematics and Evolution 94(2): 401-408. https://doi.org/10.3897/zse.94.28099
Figure 6 Venn diagram representing number of overlapping miRNA in Homosapiens, Gorillagorilla, Pongopygmaeus and Pantroglodytes.
Figure 5 from: Shah AA, Ahmad M, Ul-Haq T (2018) Deciphering conserved identical sequences of mature miRNAs among six members of great apes. Zoosystematics and Evolution 94(2): 401-408. https://doi.org/10.3897/zse.94.28099
Figure 5 A comparative evolutionary relationships of taxa for Homosapiens, Gorillagorilla, Pongopygmaeus and Pantroglodytes. The analysis involved 54 nucleotide sequences.
Explaining the luminosity spread in young clusters: proto and pre-main sequence stellar evolution in a molecular cloud environment
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/?#abs/2018MNRAS.474.1176J">Jensen & Haugbølle (2018)</a>. MESA version 8845.</p> <p>Publication DOI: <a href="https://doi.org/10.1093/mnras/stx2844">10.1093/mnras/stx2844</a></p>
Data from: An integrated model of phenotypic trait changes and site-specific sequence evolution
Recent years have seen a constant rise in the availability of trait data, including morphological features, ecological preferences, and life history characteristics. These phenotypic data provide means to associate genomic regions with phenotypic attributes, thus allowing the identification of phenotypic traits associated with the rate of genome and sequence evolution. However, inference methodologies that analyze sequence and phenotypic data in a unified statistical framework are still scarce. Here, we present TraitRateProp, a probabilistic method that allows testing whether the rate of sequence evolution is associated with a binary phenotypic character trait. The method further allows the detection of specific sequence sites whose evolutionary rate is most noticeably affected following the character transition, suggesting a shift in functional/structural constraints. TraitRateProp is first evaluated in simulations and then applied to study the evolutionary process of plastid plant genomes upon a transition to a heterotrophic lifestyle. To this end, we analyze 25 plastid genes across 85 orchid species, spanning different lifestyles and representing different genera in this large family of flowering plants. Our results indicate higher evolutionary rates following repeated transitions to a heterotrophic lifestyle in all but four of the loci analyzed.
Data from: Genotyping-by-sequencing provides the first well-resolved phylogeny for coffee (Coffea) and insights into the evolution of caffeine content in its species: GBS coffee phylogeny and the evolution of caffeine content
A comprehensive and meaningful phylogenetic hypothesis for the commercially important coffee genus (Coffea) has long been a key objective for coffee researchers. For molecular studies, progress has been limited by low levels of sequence divergence, leading to insufficient topological resolution and statistical support in phylogenetic trees, particularly for the major lineages and for the numerous species occurring in Madagascar. We report here the first almost fully resolved, broadly sampled phylogenetic hypothesis for coffee, the result of combining genotyping-by-sequencing (GBS) technology with a newly developed, lab-based workflow to integrate short read next-generation sequencing for low numbers of additional samples. Biogeographic patterns indicate either Africa or Asia (or possibly the Arabian Peninsula) as the most likely ancestral locality for the origin of the coffee genus, with independent radiations across Africa, Asia, and the Western Indian Ocean Islands (including Madagascar and Mauritius). The evolution of caffeine, an important trait for commerce and society, was evaluated in light of our phylogeny. High and consistent caffeine content is found only in species from the equatorial, fully humid environments of West and Central Africa, possibly as an adaptive response to increased levels of pest predation. Moderate caffeine production, however, evolved at least one additional time recently (between 2 and 4 Mya) in a Madagascan lineage, which suggests that either the biosynthetic pathway was already in place during the early evolutionary history of coffee, or that caffeine synthesis within the genus is subject to convergent evolution, as is also the case for caffeine synthesis in coffee versus tea and chocolate.
Data from: Mode and tempo of sequence and floral evolution within the Anserineae
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Data from: Plasmodium vivax-like genome sequences shed new insights into Plasmodium vivax biology and evolution
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Sequence-capture phylogenomics of true spiders reveals convergent evolution of respiratory systems
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Data from: Complex models of sequence evolution require accurate estimators as exemplified with the invariable site plus Gamma model
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Data from: Integrating sequence evolution into probabilistic orthology analysis
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Data from: Genome sequence of Striga asiatica provides insight into the evolution of plant parasitism
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Data from: Sequence co-evolution gives 3D contacts and structures of protein complexes
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Data from: Evolution of novel wood decay mechanisms in Agaricales revealed by the genome sequences of Fistulina hepatica and Cylindrobasidium torrendii
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Data from: Evolution and Phylogeny of the Diptera: A Molecular Phylogenetic Analysis Using 28S rDNA Sequences
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Data from: A branch-heterogeneous model of protein evolution for efficient inference of ancestral sequences
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Data from: Lineage-specific sequence evolution and exon edge conservation partially explain the relationship of evolutionary rate and expression level in A. thaliana
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Data from: An integrated model of phenotypic trait changes and site-specific sequence evolution
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Data from: Elucidating the functional evolution of heat sensors among Xenopus species adapted to different thermal niches by ancestral sequence reconstruction
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