scispace - formally typeset
M

Margaret M. Heslewood

Researcher at Royal Botanic Gardens

Publications -  29
Citations -  630

Margaret M. Heslewood is an academic researcher from Royal Botanic Gardens. The author has contributed to research in topics: Monophyly & Plagiochila. The author has an hindex of 10, co-authored 25 publications receiving 560 citations. Previous affiliations of Margaret M. Heslewood include University of Adelaide & University of New South Wales.

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Relationships within Cupressaceae sensu lato: a combined morphological and molecular approach

TL;DR: Parsimony analysis of matK and rbcL sequence data, together with a nonmolecular database, yielded a well-resolved phylogeny of Cupressaceae sensu lato, and a new infrafamilial classification is proposed in which seven subfamilies are recognized.
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By how much do we underestimate species diversity of liverworts using morphological evidence? An example from Australasian Plagiochila (Plagiochilaceae: Jungermanniopsida).

TL;DR: The results suggest that a minimum of 71 Plagiochilaceae species occur in Australasia, 16 more than currently accepted for the region, comprising 8 undetermined species and 8 synonyms requiring reinstatement.
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A molecular estimate of the phylogeny of Styphelieae (Ericaceae)

TL;DR: A well resolved estimate of the phylogeny of the tribe is obtained, with high levels of jackknife support for terminal groupings and several robust clades are identified as potential new genera but formalisation of nomenclatural changes is left, pending morphological analyses of the various clades to identify synapomorphies with which to characterise generic groupings.
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A phylogeny of Lophocoleaceae-Plagiochilaceae-Brevianthaceae and a revised classification of Plagiochilaceae

TL;DR: This work presents the most comprehensively sampled phylogeny available to date based on the nuclear ribosomal internal transcribed spacer region and the chloroplast markers rbcL and rps4 of 372 accessions and discusses alternative approaches to obtain strictly monophyletic genera by visualizing their consistence with the obtained consensus topology.