Figure - available from: Frontiers in Plant Science
This content is subject to copyright.
Lineages of various kinds are important in systematics and can be included within other lineages. (A) Tokogeny and phylogeny (modified from Hennig, 1966). A cladogenic event (shaded triangle) results in the division of a founder species into two sister species. The phylogenetic relationships of the two species are shown in the simple diagram on the right. The larger diagram shows the complexity of reticulate (tokogenetic) relationships of individuals within these polymorphic sexually reproducing species with dimorphic male (black dots) and female (white dots) individuals. Mature individuals are shown, each of which underwent metamorphosis, and thus progressed through several morphologically different character-bearing stages (semaphorants: bottom right circle), which could also provide characters for reconstructing relationships. Cyclomorphism = seasonal variation of individuals, again potentially providing characters if comparable semaphorant stages are sampled. A maternally transmitted mitochondrial DNA lineage is shown in blue lines superimposed on the arrows showing genealogical relationships. Note that although one species is fixed for this mitochondrial lineage, the other species is polymorphic for it, such that some individuals in that species possess mitochondrial genomes that are more closely related to mtDNA in the other species than to mtDNA of individuals in their own species. The mitochondrial genomes of this lineage may not be identical—they can accumulate mutations over time. Looking backward in time from the present (top of diagram), pairs of mitochondrial genomes coalesce at their most recent common ancestor. An example is shown with the two red-circled individuals, one from each species, whose mitochondrial genomes coalesce in the earlier circled individual prior to species divergence. (B) Gene trees are embedded within the species tree, and are shaped by the species history, but gene trees can differ from the species tree both in branch length and topology. The tree for three species with topology (A(B,C)) is shown four times, with individual neutrally evolving alleles shown as dots within it. One allele from each species is tracked backward in time from the present (bottom), with lines randomly connecting alleles in each generation and coalescing with alleles from other species until the common ancestor is reached at the top of the species tree. Time (t) in coalescent units (time in generations divided by effective population size) is shown for the two speciation events. Top left: purple lines track an allele coalescent history that closely tracks the species tree, having the same topology (A,(B,C)) and similar divergence times. Top right: red lines track a coalescent history that produces a gene tree topology again identical to that of the species tree, but in which alleles from species B and C coalesce much deeper in the gene tree (compare position of blue arrow in the two trees), which would suggest a much older divergence of species B and C. Bottom left: green lines connect alleles that coalesce to produce a gene tree with topology ((A,B)C), which is incongruent with the species tree; the red arrow shows the coalescence of the species B allele with the species A allele rather than with the species C allele, as in the “purple” gene tree). Bottom right: blue lines connect alleles that coalesce to produce a gene tree with topology (B(A,C)), which again is incongruent with the species tree; the green arrow points to the coalescence of the C allele with the A allele rather than with the B allele. All of the gene trees except the purple tree show deep coalescence of alleles, which in the green and blue trees creates incongruence with the species tree topology through the phenomenon of incomplete lineage sorting (ILS). Tree A has the probability 1–etABC, whereas each of the other trees has the probability 1/3etABC. The probability of inferring the correct species tree from trees from individual genetic loci is dependent on t, and thus on effective population size (small populations harbor fewer alleles and afford less opportunity for deep coalescence and ILS) and time (large tABC allows genetic drift to remove variation from the population, minimizing the chance of deep coalescence and ILS). The dependence of gene tree topologies and branch lengths on species history and demography is what allows species histories to be inferred from a sample of gene trees under the multispecies coalescent (MSC). (C) A simple three species phylogeny (left-hand tree) is complicated by introgression or horizontal transfer between species C and D (center tree), and the formation of a hybrid species (H) between species C and D (right-hand tree).

Lineages of various kinds are important in systematics and can be included within other lineages. (A) Tokogeny and phylogeny (modified from Hennig, 1966). A cladogenic event (shaded triangle) results in the division of a founder species into two sister species. The phylogenetic relationships of the two species are shown in the simple diagram on the right. The larger diagram shows the complexity of reticulate (tokogenetic) relationships of individuals within these polymorphic sexually reproducing species with dimorphic male (black dots) and female (white dots) individuals. Mature individuals are shown, each of which underwent metamorphosis, and thus progressed through several morphologically different character-bearing stages (semaphorants: bottom right circle), which could also provide characters for reconstructing relationships. Cyclomorphism = seasonal variation of individuals, again potentially providing characters if comparable semaphorant stages are sampled. A maternally transmitted mitochondrial DNA lineage is shown in blue lines superimposed on the arrows showing genealogical relationships. Note that although one species is fixed for this mitochondrial lineage, the other species is polymorphic for it, such that some individuals in that species possess mitochondrial genomes that are more closely related to mtDNA in the other species than to mtDNA of individuals in their own species. The mitochondrial genomes of this lineage may not be identical—they can accumulate mutations over time. Looking backward in time from the present (top of diagram), pairs of mitochondrial genomes coalesce at their most recent common ancestor. An example is shown with the two red-circled individuals, one from each species, whose mitochondrial genomes coalesce in the earlier circled individual prior to species divergence. (B) Gene trees are embedded within the species tree, and are shaped by the species history, but gene trees can differ from the species tree both in branch length and topology. The tree for three species with topology (A(B,C)) is shown four times, with individual neutrally evolving alleles shown as dots within it. One allele from each species is tracked backward in time from the present (bottom), with lines randomly connecting alleles in each generation and coalescing with alleles from other species until the common ancestor is reached at the top of the species tree. Time (t) in coalescent units (time in generations divided by effective population size) is shown for the two speciation events. Top left: purple lines track an allele coalescent history that closely tracks the species tree, having the same topology (A,(B,C)) and similar divergence times. Top right: red lines track a coalescent history that produces a gene tree topology again identical to that of the species tree, but in which alleles from species B and C coalesce much deeper in the gene tree (compare position of blue arrow in the two trees), which would suggest a much older divergence of species B and C. Bottom left: green lines connect alleles that coalesce to produce a gene tree with topology ((A,B)C), which is incongruent with the species tree; the red arrow shows the coalescence of the species B allele with the species A allele rather than with the species C allele, as in the “purple” gene tree). Bottom right: blue lines connect alleles that coalesce to produce a gene tree with topology (B(A,C)), which again is incongruent with the species tree; the green arrow points to the coalescence of the C allele with the A allele rather than with the B allele. All of the gene trees except the purple tree show deep coalescence of alleles, which in the green and blue trees creates incongruence with the species tree topology through the phenomenon of incomplete lineage sorting (ILS). Tree A has the probability 1–etABC, whereas each of the other trees has the probability 1/3etABC. The probability of inferring the correct species tree from trees from individual genetic loci is dependent on t, and thus on effective population size (small populations harbor fewer alleles and afford less opportunity for deep coalescence and ILS) and time (large tABC allows genetic drift to remove variation from the population, minimizing the chance of deep coalescence and ILS). The dependence of gene tree topologies and branch lengths on species history and demography is what allows species histories to be inferred from a sample of gene trees under the multispecies coalescent (MSC). (C) A simple three species phylogeny (left-hand tree) is complicated by introgression or horizontal transfer between species C and D (center tree), and the formation of a hybrid species (H) between species C and D (right-hand tree).

Source publication
Article
Full-text available
The concept of “cell type,” though fundamental to cell biology, is controversial. Cells have historically been classified into types based on morphology, physiology, or location. More recently, single cell transcriptomic studies have revealed fine-scale differences among cells with similar gross phenotypes. Transcriptomic snapshots of cells at vari...

Similar publications

Article
Full-text available
Background Acute skeletal muscle injury is common in sports. The injured muscle cannot fully recover due to fibrosis resulting from myofibroblasts. Understanding the origin of fibroblasts is, therefore, important for the development of anti-fibrotic therapies. Accumulating evidence shows that a mechanism called macrophage-myofibroblast transition (...
Article
Full-text available
Traditionally, the meninges are described as 3 distinct layers, dura, arachnoid and pia. Yet, the classification of the connective meningeal membranes surrounding the brain is based on postmortem macroscopic examination. Ultrastructural and single cell transcriptome analyses have documented that the 3 meningeal layers can be subdivided into several...
Preprint
Full-text available
Platelet derived growth factor (PDGF) signaling has been extensively studied in the context of vascular disease, but the genetics of this pathway remain to be established. Genome wide association studies (GWAS) for coronary artery disease (CAD) have identified a risk locus at 11q22.3, and we have verified with fine mapping approaches that the regul...
Preprint
Full-text available
Extramedullary erythropoiesis is not expected in healthy adult mice, but erythropoietic gene expression was elevated in lineage-depleted spleen cells from cd47-/- mice. Expression of several genes associated with early stages of erythropoiesis was elevated in mice lacking CD47 or its signaling ligand thrombospondin-1, consistent with previous evide...
Article
Full-text available
It is estimated that animals pollinate 87.5% of flowering plants worldwide and that managed honey bees (Apis mellifera) account for 30-50% of this ecosystem service to agriculture. In addition to their important role as pollinators, honey bees are well-established insect models for studying learning and memory, behaviour, caste differentiation, epi...

Citations

... Their answers varied widely; although most agreed that "cell type" was a critical concept, at least one felt that only cell states exist (Clevers et al., 2017). This diversity of opinions on how to fit natural variation into human-designed categories has been likened to the problem of defining "species" (reviewed by Doyle, 2022). How has that debate evolved, and what can plant scientists learn from it? ...
... Cell biologists find this concept useful to have a dynamic, inclusive, and multifaceted definition of cell type, where facets include cell origin and lineage history, function, morphology, location, interactions, and molecular features (including genetic variation, epigenome, transcriptome, posttranscriptional modifications, non-coding RNAome, proteome, post-translational modifications, metabolome, and cellular localization). As with defining species, implementation is difficult when traits are incongruent, and researchers prioritize them differently (Doyle, 2022). ...
... Recently, Domcke and Shendure (2023) proposed an explicitly lineage-based definition of cell types and their relationships that they contend will serve cell biology better than transcriptional cell types organized into atlases. In looking for an organizing principle for cell types, they reject the transcriptomic approach as inherently phenetic and thus suffering from arbitrariness in defining entities, as is true in species biology (Doyle, 2022), as well as lacking an objective means of distinguishing state from type. However, they also reject the Arendt et al. (2019) evolutionary approach as being impractical due to the divergence of cell types across highly diverse species and the difficulty of defining the CoRC. ...
Article
In multicellular organisms, developmental history of cell divisions and functional annotation of terminal cells can be organized into a cell lineage tree (CLT). The reconstruction of the CLT has long been a major goal in developmental biology and other related fields. Recent technological advancements, especially those in editable genomic barcodes and single-cell high-throughput sequencing, have sparked a new wave of experimental methods for reconstructing CLTs. Here we review the existing experimental approaches to the reconstruction of CLT, which are broadly categorized as either image-based or DNA barcode-based methods. In addition, we present a summary of the related literatures based on the biological insight provided by the obtained CLTs. Moreover, we discuss the challenges that will arise as more and better CLT data become available in the near future. Genomic barcoding-based CLT reconstructions and analyses, due to their wide applicability and high scalability, offer the potential for novel biological discoveries, especially those related to general and systemic properties of the developmental process.