Alexandre R Zuntini1, Lorna P Frankel1,2, Lisa Pokorny1,3, Félix Forest1, William J Baker1. 1. Royal Botanic Gardens, Kew, TW9 3AE, UK. 2. Faculty of Life and Environmental Sciences, University of Southampton Highfield Campus, Southampton, SO17 1BJ, UK. 3. Centre for Plant Biotechnology and Genomics (CBGP UPM - INIA), Autopista M-40, Km 38, Pozuelo de Alarcón (Madrid), 28223, Spain.
Abstract
PREMISE: Resolving relationships within order Commelinales has posed quite a challenge, as reflected in its unstable infra-familial classification. Thus, we investigated (1) relationships across families and genera of Commelinales; (2) phylogenetic placement of never-before sequenced genera; (3) how well off-target plastid data integrate with other plastid-based data sets; and (4) how the novel inferences coincide with the infra-familial classification. METHODS: We generated two large data sets (nuclear and plastome) by means of target sequence capture using the Angiosperms353 probe set, with additional sequences mined from publicly available transcriptomes and full plastomes. A third extended-plastid data set was considered, including all species with sequences in public repositories. Species trees were inferred under a multispecies coalescent framework from individual gene trees and also using maximum likelihood analyses from concatenated and partitioned data. RESULTS: The nuclear, plastome, and extended-plastid data sets include 52, 53, and 58 genera, respectively, and up to 290 species of Commelinales, representing the most comprehensive molecular sampling for the order to date, which includes seven never-before sequenced genera. CONCLUSIONS: We inferred robust phylogenies supporting the monophyly of Commelinales and its five constituent families, and we recovered the clades Pontederiaceae-Haemodoraceae and Hanguanaceae-Commelinaceae, as previously reported. The placement of Philydraceae remains contentious. Relationships within the two largest families, Commelinaceae and Haemodoraceae, are resolved. Based on the latter results, we confirm the subfamilial classification of Haemodoraceae and propose a new classification for Commelinaceae, which includes the synonymization of Tapheocarpa in Commelina.
PREMISE: Resolving relationships within order Commelinales has posed quite a challenge, as reflected in its unstable infra-familial classification. Thus, we investigated (1) relationships across families and genera of Commelinales; (2) phylogenetic placement of never-before sequenced genera; (3) how well off-target plastid data integrate with other plastid-based data sets; and (4) how the novel inferences coincide with the infra-familial classification. METHODS: We generated two large data sets (nuclear and plastome) by means of target sequence capture using the Angiosperms353 probe set, with additional sequences mined from publicly available transcriptomes and full plastomes. A third extended-plastid data set was considered, including all species with sequences in public repositories. Species trees were inferred under a multispecies coalescent framework from individual gene trees and also using maximum likelihood analyses from concatenated and partitioned data. RESULTS: The nuclear, plastome, and extended-plastid data sets include 52, 53, and 58 genera, respectively, and up to 290 species of Commelinales, representing the most comprehensive molecular sampling for the order to date, which includes seven never-before sequenced genera. CONCLUSIONS: We inferred robust phylogenies supporting the monophyly of Commelinales and its five constituent families, and we recovered the clades Pontederiaceae-Haemodoraceae and Hanguanaceae-Commelinaceae, as previously reported. The placement of Philydraceae remains contentious. Relationships within the two largest families, Commelinaceae and Haemodoraceae, are resolved. Based on the latter results, we confirm the subfamilial classification of Haemodoraceae and propose a new classification for Commelinaceae, which includes the synonymization of Tapheocarpa in Commelina.
Authors: Ana Rita G Simões; Lauren A Eserman; Alexandre R Zuntini; Lars W Chatrou; Timothy M A Utteridge; Olivier Maurin; Saba Rokni; Shyamali Roy; Félix Forest; William J Baker; Saša Stefanović Journal: Front Plant Sci Date: 2022-07-14 Impact factor: 6.627