Literature DB >> 17558964

Phylogeny of extant and fossil Juglandaceae inferred from the integration of molecular and morphological data sets.

Paul S Manos1, Pamela S Soltis, Douglas E Soltis, Steven R Manchester, Sang-Hun Oh, Charles D Bell, David L Dilcher, Donald E Stone.   

Abstract

It is widely acknowledged that integrating fossils into data sets of extant taxa is imperative for proper placement of fossils, resolution of relationships, and a better understanding of character evolution. The importance of this process has been further magnified because of the crucial role of fossils in dating divergence times. Outstanding issues remain, including appropriate methods to place fossils in phylogenetic trees, the importance of molecules versus morphology in these analyses, as well as the impact of potentially large amounts of missing data for fossil taxa. In this study we used the angiosperm clade Juglandaceae as a model for investigating methods of integrating fossils into a phylogenetic framework of extant taxa. The clade has a rich fossil record relative to low extant diversity, as well as a robust molecular phylogeny and morphological database for extant taxa. After combining fossil organ genera into composite and terminal taxa, our objectives were to (1) compare multiple methods for the integration of the fossils and extant taxa (including total evidence, molecular scaffolds, and molecular matrix representation with parsimony [MRP]); (2) explore the impact of missing data (incomplete taxa and characters) and the evidence for placing fossils on the topology; (3) simulate the phylogenetic effect of missing data by creating "artificial fossils"; and (4) place fossils and compare the impact of single and multiple fossil constraints in estimating the age of clades. Despite large and variable amounts of missing data, each of the methods provided reasonable placement of both fossils and simulated "artificial fossils" in the phylogeny previously inferred only from extant taxa. Our results clearly show that the amount of missing data in any given taxon is not by itself an operational guideline for excluding fossils from analysis. Three fossil taxa (Cruciptera simsonii, Paleoplatycarya wingii, and Platycarya americana) were placed within crown clades containing living taxa for which relationships previously had been suggested based on morphology, whereas Polyptera manningii, a mosaic taxon with equivocal affinities, was placed firmly as sister to two modern crown clades. The position of Paleooreomunnea stoneana was ambiguous with total evidence but conclusive with DNA scaffolds and MRP. There was less disturbance of relationships among extant taxa using a total evidence approach, and the DNA scaffold approach did not provide improved resolution or internal support for clades compared to total evidence, whereas weighted MRP retained comparable levels of support but lost crown clade resolution. Multiple internal minimum age constraints generally provided reasonable age estimates, but the use of single constraints provided by extinct genera tended to underestimate clade ages.

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Year:  2007        PMID: 17558964     DOI: 10.1080/10635150701408523

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  17 in total

1.  A total-evidence approach to dating with fossils, applied to the early radiation of the hymenoptera.

Authors:  Fredrik Ronquist; Seraina Klopfstein; Lars Vilhelmsen; Susanne Schulmeister; Debra L Murray; Alexandr P Rasnitsyn
Journal:  Syst Biol       Date:  2012-06-20       Impact factor: 15.683

2.  The fossil Osmundales (Royal Ferns)-a phylogenetic network analysis, revised taxonomy, and evolutionary classification of anatomically preserved trunks and rhizomes.

Authors:  Benjamin Bomfleur; Guido W Grimm; Stephen McLoughlin
Journal:  PeerJ       Date:  2017-07-11       Impact factor: 2.984

3.  Estimating divergence times and ancestral breeding systems in Ficus and Moraceae.

Authors:  Qian Zhang; Renske E Onstein; Stefan A Little; Hervé Sauquet
Journal:  Ann Bot       Date:  2019-01-01       Impact factor: 4.357

4.  Ectomycorrhizal fungal diversity in orchards of cultivated pecan (Carya illinoinensis; Juglandaceae).

Authors:  Gregory Bonito; Timothy Brenneman; Rytas Vilgalys
Journal:  Mycorrhiza       Date:  2011-03-03       Impact factor: 3.387

5.  Inflorescence dimorphism, heterodichogamy and thrips pollination in Platycarya strobilacea (Juglandaceae).

Authors:  Tatsundo Fukuhara; Shin-ichiro Tokumaru
Journal:  Ann Bot       Date:  2013-12-03       Impact factor: 4.357

6.  Fossil-Informed Models Reveal a Boreotropical Origin and Divergent Evolutionary Trajectories in the Walnut Family (Juglandaceae).

Authors:  Qiuyue Zhang; Richard H Ree; Nicolas Salamin; Yaowu Xing; Daniele Silvestro
Journal:  Syst Biol       Date:  2021-12-16       Impact factor: 15.683

7.  Highly incomplete taxa can rescue phylogenetic analyses from the negative impacts of limited taxon sampling.

Authors:  John J Wiens; Jonathan Tiu
Journal:  PLoS One       Date:  2012-08-10       Impact factor: 3.240

8.  Recent progress in paleontological methods for dating the Tree of Life.

Authors:  Michel Laurin
Journal:  Front Genet       Date:  2012-07-13       Impact factor: 4.599

9.  Historical biogeography and diversification of truffles in the Tuberaceae and their newly identified southern hemisphere sister lineage.

Authors:  Gregory Bonito; Matthew E Smith; Michael Nowak; Rosanne A Healy; Gonzalo Guevara; Efren Cázares; Akihiko Kinoshita; Eduardo R Nouhra; Laura S Domínguez; Leho Tedersoo; Claude Murat; Yun Wang; Baldomero Arroyo Moreno; Donald H Pfister; Kazuhide Nara; Alessandra Zambonelli; James M Trappe; Rytas Vilgalys
Journal:  PLoS One       Date:  2013-01-02       Impact factor: 3.240

10.  Integrated fossil and molecular data reveal the biogeographic diversification of the eastern Asian-eastern North American disjunct hickory genus (Carya Nutt.).

Authors:  Jing-Bo Zhang; Rui-Qi Li; Xiao-Guo Xiang; Steven R Manchester; Li Lin; Wei Wang; Jun Wen; Zhi-Duan Chen
Journal:  PLoS One       Date:  2013-07-16       Impact factor: 3.240

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