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Cladistics | 1991

Polymorphic taxa, missing values and cladistic analysis

Kevin C. Nixon; Jerrold I. Davis

Abstract Missing values have been used in cladistic analyses when data are unavailable, inapplicable or sometimes when character states are variable within terminal taxa. The practice of scoring taxa as having “missing values” for polymorphic characters introduces errors into the calculation of cladogram lengths and consistency indices because some character change is hidden within terminals. Because these hidden character steps are not counted, the set of most parsimonious cladograms may differ from those that would be found if polymorphic taxa had been broken into monomorphic subunits. In some cases, the trees found when polymorphisms are scored as missing values may not include any of the most parsimonious trees found when the data are scored properly. Additionally, in some cases, polymorphic taxa may be found to be polyphyletic when broken into monomorphic subunits; this is undetected when polymorphisms are treated as missing. Because of these problems, terminal units in cladistic analysis should be based on unique, fixed combinations of characters. Polymorphic taxa should be subdivided into subunits that are monomorphic for each character used in the analysis. Disregarding errors in topology, the additional hidden steps in a cladogram in which polymorphisms are scored as missing can be calculated by a simple formula, based on the observation that if it is assumed that polymorphic terminals include all combinations of character states, 2p− 1 additional steps are required for each taxon in which p polymorphic binary characters are scored as missing values. Thus, when several polymorphisms are scored as missing in the same taxon, very large errors can be introduced into the calculation of tree length.


Systematic Botany | 2004

A Phylogeny of the Monocots, as Inferred from rbcL and atpA Sequence Variation, and a Comparison of Methods for Calculating Jackknife and Bootstrap Values

Jerrold I. Davis; Dennis W. Stevenson; Gitte Petersen; Ole Seberg; Lisa M. Campbell; John V. Freudenstein; Douglas H. Goldman; Christopher R. Hardy; Fabián A. Michelangeli; Mark P. Simmons; Chelsea D. Specht; Francisco Vergara-Silva; Maria A. Gandolfo

Abstract A phylogenetic analysis of the monocots was conducted on the basis of nucleotide sequence variation in two genes (atpA, encoded in the mitochondrial genome, and rbcL, encoded in the plastid genome). The taxon sample of 218 angiosperm terminals included 177 monocots and 41 dicots. Among the major results of the analysis are the resolution of a clade comprising four magnoliid lineages (Canellales, Piperales, Magnoliales, and Laurales) as sister of the monocots, with the deepest branch within the monocots between a clade consisting of Araceae, Tofieldiaceae, Acorus, and Alismatales, and a clade that includes all other monocots. Nartheciaceae are placed as the sister of Pandanales, and Corsiaceae as the sister of Liliales. The Triuridaceae, represented by three genera, including Lacandonia, are resolved as monophyletic and placed in a range of positions, generally within Pandanales. Dasypogonaceae and Arecaceae diverge sequentially from a clade that includes all other commelinid taxa, and within the latter group Poales s. lat. are sister of a clade in which Zingiberales and Commelinales are sisters. Within Poales s. lat., Trithuria (Hydatellaceae) and Mayaca appear to be closely related to some or all elements of Xyridaceae. A comparison was conducted of jackknife and bootstrap values, as computed using strict-consensus (SC) and frequency-within-replicates (FWR) approaches. Jackknife values tend to be higher than bootstrap values, and for each of these methods support values obtained with the FWR approach tend to exceed those obtained with the SC approach.


Botanical Review | 1998

Phylogenetics and character evolution in the grass family (Poaceae): Simultaneous analysis of morphological and Chloroplast DNA restriction site character sets

Robert John Soreng; Jerrold I. Davis

A phylogenetic analysis of the grass family (Poaceae) was conducted using two character sets, one representing variation in 364 mapped and cladistically informative restriction sites from all regions of the chloroplast genome, the other representing variation in 42 informative “structural characters.” The structural character set includes morphological, anatomical, chromosomal, and biochemical features, plus structural features of the chloroplast genome. The taxon sample comprises 75 exemplar taxa, including 72 representatives of Poaceae and one representative of each of three related families (Flagellariaceae, Restionaceae, and Join-villeaceae);Flagellaria served as the outgroup for the purpose of cladogram rooting. Among the grasses, 24 tribes and all 16 subfamilies of grasses recognized by various modern authors were sampled. Transformations of structural characters are mapped onto the phylogenetic hypotheses generated by the analysis, and interpreted with respect to biogeography and the evolution of wind pollination in the grass family. A major goal of the study was to test the monophyly of several putatively natural groups, including Bambusoideae, Pooideae, Arundinoideae, and the “PACC clade” (the latter comprising subfamilies Panicoideae, Arundinoideae, Chloridoideae, and Centothecoideae), as well as to analyze the phylogenetic structure within these groups and others. Several genera of controversial placement (Amphipogon, Anisopogon, Anomochloa, Brachyelytrum, Diarrhena, Eremitis, Ehrharta, Lithachne, Lygeum, Nardus, Olyra, Pharus, andStreptochaeta) also were included, with the goal of determining their phylogenetic affinities. The two character sets were analyzed separately, and a simultaneous analysis of the combined matrices also was conducted. The combined data set also was analyzed using homoplasy-implied weights. Among major results of the combined unweighted analysis were resolution of a sister-group relationship betweenJoinvillea and Poaceae; resolution of a clade comprisingAnomochloa andStreptochaeta as the sister of all other grasses, withPharus the next group to diverge from the lineage that includes all remaining grasses; and resolution of other taxa often assigned to Bambusoideae s.l. (includingEhrharta and Oryzeae, and excluding a few other taxa as noted) as a paraphyletic assemblage, within which is nested a clade that consists ofBrachyelytrum, the PACC clade (includingAmphipogon), and Pooideae (including Brachypodieae, Stipeae,Anisopogon, Diarrhena, Lygeum, andNardus). Within the PACC clade,Aristida is identified as the sister of all other elements of the group; Chloridoideae, Centothecoideae, and Panicoideae are each resolved as monophyletic, the latter two being sister-groups; and the remaining Arundinoid elements constitute a paraphyletic group within which are nested these three subfamilies. Within the Pooideae, four “core tribes” (Bromeae, Hordeeae [i.e., Triticeae], Agrostideae [i.e., Aveneae], andPoeae, the latter includingSesleria) are resolved as a monophyletic group that is nested among the remaining elements of the subfamily (Brachypodieae, Meliceae, Stipeae,Anisopogon, Diarrhena, Lygeum, andNardus). A second principal goal of the analysis was to identify structural synapomorphies of clades. Among the synapomorphies identified for some of the major clades are the following: gain of a 6.4 kb inversion in the chloroplast genome inJoinvillea and the grasses; reduction to 1 ovule per pistil, gain of a lateral “grass-type” embryo, and gain of an inversion around the gene trnT in the chloroplast genome in the grasses; loss of arm cells in the clade that consists ofBrachyelytrum, Pooideae, and the PACC clade; loss of the epiblast and gain of an elongate mesocotyl internode in the PACC clade; gain of proximal female-sterile florets in female-fertile spikelets, gain of overlapping embryonic leaf margins, and gain ofPanicum- type endosperm starch grains in the clade that comprises Centothecoideae and Panicoideae; and loss of the scutellar tail of the embryo in Pooideae (in one of two alternative placements of Pooideae among other groups). These findings are consistent with an origin and early diversification of grasses as forest understory herbs, followed by one or more radiations into open habitats, concomitant with multiple origins of C4 photosynthesis and specialization for wind pollination.


Systematic Biology | 1998

Data decisiveness, data quality, and incongruence in phylogenetic analysis: an example from the monocotyledons using mitochondrial atp A sequences.

Jerrold I. Davis; Mark P. Simmons; Dennis W. Stevenson; Jonathan F. Wendel

We examined three parallel data sets with respect to qualities relevant to phylogenetic analysis of 20 exemplar monocotyledons and related dicotyledons. The three data sets represent restriction-site variation in the inverted repeat region of the chloroplast genome, and nucleotide sequence variation in the chloroplast-encoded gene rbcL and in the mitochondrion-encoded gene atpA, the latter of which encodes the alpha-subunit of mitochondrial ATP synthase. The plant mitochondrial genome has been little used in plant systematics, in part because nucleotide sequence evolution in enzyme-encoding genes of this genome is relatively slow. The three data sets were examined in separate and combined analyses, with a focus on patterns of congruence, homoplasy, and data decisiveness. Data decisiveness (described by P. Goloboff) is a measure of robustness of support for most parsimonious trees by a data set in terms of the degree to which those trees are shorter than the average length of all possible trees. Because indecisive data sets require relatively fewer additional steps than decisive ones to be optimized on nonparsimonious trees, they will have a lesser tendency to be incongruent with other data sets. One consequence of this relationship between decisiveness and character incongruence is that if incongruence is used as a criterion of noncombinability, decisive data sets, which provide robust support for relationships, are more likely to be assessed as noncombinable with other data sets than are indecisive data sets, which provide weak support for relationships. For the sampling of taxa in this study, the atpA data set has about half as many cladistically informative nucleotides as the rbcL data set per site examined, and is less homoplastic and more decisive. The rbcL data set, which is the least decisive of the three, exhibits the lowest levels of character incongruence. Whatever the molecular evolutionary cause of this phenomenon, it seems likely that the poorer performance of rbcL than atpA, in terms of data decisiveness, is due to both its higher overall level of homoplasy and the fact that it is performing especially poorly at nonsynonymous sites.


Journal of Systematics and Evolution | 2015

A worldwide phylogenetic classification of the Poaceae (Gramineae)

Robert John Soreng; Paul M. Peterson; Konstantin Romaschenko; Gerrit Davidse; Fernando O. Zuloaga; Emmet J. Judziewicz; Tarciso S. Filgueiras; Jerrold I. Davis; Osvaldo Morrone

Based on recent molecular and morphological studies we present a modern worldwide phylogenetic classification of the ± 12074 grasses and place the 771 grass genera into 12 subfamilies (Anomochlooideae, Aristidoideae, Arundinoideae, Bambusoideae, Chloridoideae, Danthonioideae, Micraioideae, Oryzoideae, Panicoideae, Pharoideae, Puelioideae, and Pooideae), 6 supertribes (Andropogonodae, Arundinarodae, Bambusodae, Panicodae, Poodae, Triticodae), 51 tribes (Ampelodesmeae, Andropogoneae, Anomochloeae, Aristideae, Arundinarieae, Arundineae, Arundinelleae, Atractocarpeae, Bambuseae, Brachyelytreae, Brachypodieae, Bromeae, Brylkinieae, Centotheceae, Centropodieae, Chasmanthieae, Cynodonteae, Cyperochloeae, Danthonieae, Diarrheneae, Ehrharteae, Eragrostideae, Eriachneae, Guaduellieae, Gynerieae, Hubbardieae, Isachneae, Littledaleeae, Lygeeae, Meliceae, Micraireae, Molinieae, Nardeae, Olyreae, Oryzeae, Paniceae, Paspaleae, Phaenospermateae, Phareae, Phyllorachideae, Poeae, Steyermarkochloeae, Stipeae, Streptochaeteae, Streptogyneae, Thysanolaeneae, Triraphideae, Tristachyideae, Triticeae, Zeugiteae, and Zoysieae), and 80 subtribes (Aeluropodinae, Agrostidinae, Airinae, Ammochloinae, Andropogoninae, Anthephorinae, Anthistiriinae, Anthoxanthinae, Arthraxoninae, Arthropogoninae, Arthrostylidiinae, Arundinariinae, Aveninae, Bambusinae, Boivinellinae, Boutelouinae, Brizinae, Buergersiochloinae, Calothecinae, Cenchrinae, Chionachninae, Chusqueinae, Coicinae, Coleanthinae, Cotteinae, Cteniinae, Cynosurinae, Dactylidinae, Dichantheliinae, Dimeriinae, Duthieinae, Eleusininae, Eragrostidinae, Farragininae, Germainiinae, Gouiniinae, Guaduinae, Gymnopogoninae, Hickeliinae, Hilariinae, Holcinae, Hordeinae, Ischaeminae, Loliinae, Melinidinae, Melocanninae, Miliinae, Monanthochloinae, Muhlenbergiinae, Neurachninae, Olyrinae, Orcuttiinae, Oryzinae, Otachyriinae, Panicinae, Pappophorinae, Parapholiinae, Parianinae, Paspalinae, Perotidinae, Phalaridinae, Poinae, Racemobambosinae, Rottboelliinae, Saccharinae, Scleropogoninae, Scolochloinae, Sesleriinae, Sorghinae, Sporobolinae, Torreyochloinae, Traginae, Trichoneurinae, Triodiinae, Tripogoninae, Tripsacinae, Triticinae, Unioliinae, Zizaniinae, and Zoysiinae). In addition, we include a radial tree illustrating the hierarchical relationships among the subtribes, tribes, and subfamilies. We use the subfamilial name, Oryzoideae, over Ehrhartoideae because the latter was initially published as a misplaced rank, and we circumscribe Molinieae to include 13 Arundinoideae genera. The subtribe Calothecinae is newly described and the tribe Littledaleeae is new at that rank.


American Journal of Botany | 2003

Phylogenetic relationships among Poaceae and related families as inferred from morphology, inversions in the plastid genome, and sequence data from the mitochondrial and plastid genomes

Fabián A. Michelangeli; Jerrold I. Davis; Dennis W. Stevenson

A phylogenetic analysis of the Poales was conducted to assess relationships among Poaceae and allied families. The analysis included 40 taxa, representing all families of the Poales as circumscribed by the Angiosperm Phylogeny Group (APG), plus five of the six unplaced Commelinid families in the APG system. The data matrix included 98 informative characters representing variation in morphology and chloroplast genome structure (including three inversions in the chloroplast genome), and 563 informative characters derived from rbcL and atpA nucleotide sequences. Ecdeiocolea has the 6-kilobase (kb) chloroplast genome inversion previously reported in Joinvillea and Poaceae, and like Joinvillea it lacks the trnT inversion that occurs in grasses. Analysis of the morphological data places Poaceae in an unresolved relationship relative to several other taxa, including Joinvillea and Ecdeiocolea, while analysis of the molecular and combined data resolves Ecdeiocolea as sister of Poaceae, with Joinvillea the sister of this group. Although the 6-kb and trnT inversions are non-homoplasious in the phylogenies obtained in this study, the 28-kb inversion is optimized as having originated twice (once in Restionaceae and another time in the most recent common ancestor of Ecdeiocolea, Joinvillea, and the grasses); an alternative interpretation is that it arose once and was later lost in Anarthria. Ecdeiocolea shares with Poaceae the presence of operculate, annulate pollen that lacks scrobiculi, and a dry, indehiscent fruit.


Plant Systematics and Evolution | 1990

A phylogenetic analysis of chloroplast DNA restriction site variation inPoaceae subfam.Pooideae

Robert John Soreng; Jerrold I. Davis; Jeff J. Doyle

A phylogenetic analysis was conducted on chloroplast DNA restriction site variation in 34 genera of grasses (familyPoaceae), including 28 genera from subfam.Pooideae (representing tribesAveneae, Brachypodieae, Bromeae, Meliceae, Poeae, Stipeae, andTriticeae) and representatives of three other subfamilies,Arundinoideae, Oryzoideae, andPanicoideae. Analyses of all 34 genera always distinguishedPooideae as monophyletic, regardless of which nonpooid genus functioned as outgroup; six separate analyses of all 28 pooid genera, each including one of the six nonpooid genera as outgroup, resolved five identically-constituted clades withinPooideae (in four cases), or (in the other two cases) yielded results that were less well resolved, but not in conflict with those of the other four analyses. The four best-resolved analyses distinguishedMeliceae as the earliest diverging lineage withinPooideae, andStipeae as the next. Above the point of divergence ofStipeae is a dichotomy between supertribeTriticodae (including tribesBrachypodieae, Bromeae, andTriticeae), and a clade comprisingPoeae andAveneae. The analysis supports some tribal realignments, specifically the assignment ofBriza, Chascolytrum, Microbriza, andTorreyochloa toAveneae, andArctagrostis, Catabrosa, andSesleria toPoeae. The analysis also suggests that the pooid spikelet (i.e., glumes shorter than lemmas and florets two or more) is plesiomorphic inPooideae, and that spikelets with one floret, and those with glumes longer than the first lemma, each have evolved more than once withinPooideae. Results also indicate that small chromosomes and chromosome numbers based on x=c. 10−12 are plesiomorphic withinPooideae. Alternative states of these characters (chromosomes large, chromosome numbers based on x=7) are interpreted as synapomorphies or parallelisms of clades that includeTriticodae, Aveneae, andPoeae. Lanceolate lodicule shape may be a synapomorphy of the clade that includesStipeae, Triticodae, Aveneae, andPoeae, and loss of lodicule vascularization a synapomorphy of the entirePooideae.


Systematic Botany | 2009

Phylogenetic Analysis of Nuclear Ribosomal ITS/5.8S Sequences in the Tribe Millettieae (Fabaceae): Poecilanthe-Cyclolobium, the core Millettieae, and the Callerya Group

Jer-Ming Hu; Matt Lavin; Martin F. Wojciechowski; Michael J. Sanderson; Jerrold I. Davis

Abstract The taxonomic composition of three principal and distantly related groups of the former tribe Millettieae, which were first identified from nuclear phytochrome and chloroplast trnK/matK sequences, was more extensively investigated with a phylogenetic analysis of nuclear ribosomal DNA ITS/5.8S sequences. The first of these groups includes the neotropical genera Poecilanthe and Cyclolobium, which are resolved as basal lineages in a clade that otherwise includes the neotropical genera Brongniartia and Harpalyce and the Australian Templetonia and Hovea. The second group includes the large millettioid genera, Millettia, Lonchocarpus, Derris, and Tephrosia, which are referred to as the “core Millettieae” group. Phylogenetic analysis of nuclear ribosomal DNA ITS/5.8S sequences reveals that Millettia is polyphyletic, and that subclades of the core Millettieae group, such as the New World Lonchocarpus or the pantropical Tephrosia and segregate genera (e.g., Chadsia and Mundulea), each form well supported monophyletic subgroups. The third lineage includes the genera Afgekia, Callerya, and Wisteria. These genera are resolved as a basal subclade in the inverted-repeat-lacking clade, which is a large legume group that includes the many well known temperate and herbaceous legumes, such as Astragalus, Medicago and Pisum, but not any other Millettieae. Communicating Editor: Jerrold I. Davis


Cladistics | 2013

Plastid genomes and deep relationships among the commelinid monocot angiosperms

Craig F. Barrett; Jerrold I. Davis; Jim Leebens-Mack; John G. Conran; Dennis W. Stevenson

The commelinid monocots comprise the orders Arecales (A), Commelinales (C), Poales sensu Angiosperm Phylogeny Group III (APGIII) (P), Zingiberales (Z), plus the unplaced family Dasypogonaceae (D), collectively containing numerous economically and ecologically important species and encompassing enormous morphological diversity. Commelinids are supported as monophyletic based on anatomy and molecular data; however, relationships among major commelinid groupings conflict among previous studies, representing a long‐standing problem in monocot systematics, with major implications for interpretations of character evolution. In more recent analyses, with whole‐plastome sampling largely focused on Poales, areas of conflict remain, suggesting the need for closer investigation of relationships and support. Here, we increased sampling of plastomes among non‐Poalean commelinid orders to investigate deep nodal support. Analysis of 83 plastid genes recovered relationships as ((A, D) (ZC, P)) with robust support, regardless of reconstruction method (parsimony/likelihood). However, conflict among genes was evident when grouped by genomic region. Cumulative analyses of genes ranked by decreasing numbers of informative characters indicated continued fluctuation in support, even as small genes were added to a nearly complete matrix, contrary to the expected pattern of stabilization in support. Topology tests among major commelinid groups suggested that the data were not powerful enough to reject all alternatives. This study provides clues to the limits of the plastid genome for resolving deep relationships among the commelinid monocots.


Cladistics | 1993

CHARACTER REMOVAL AS A MEANS FOR ASSESSING STABILITY OF CLADES

Jerrold I. Davis

Abstract— The stability of each clade resolved by a data set can be assessed as the minimum number of characters that, when removed, cause resolution of the clade to be lost; a clade is regarded as having been lost when it does occur in the strict consensus tree. The clade stability index (CSI) is the ratio of this minimum number of characters to the number of informative characters in the data set. The CSI of a clade can range from 0 (absence from the consensus tree of the complete data set) to 1 (all informative characters must be removed for the clade to fail to be resolved). Minimum character removal scores are discoverable by a procedure known as successive character removal, in which separate cladistic analyses are conducted of all possible data sets derived by the removal of individual characters and character combinations of successively increasing number.

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Craig F. Barrett

California State University

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Robert John Soreng

National Museum of Natural History

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Mark P. Simmons

Colorado State University

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Sean W. Graham

University of British Columbia

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Melvin R. Duvall

Northern Illinois University

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Thomas J. Givnish

University of Wisconsin-Madison

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