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Plant DNA Barcodes and Assessment of Phylogenetic Community Structure of a Tropical Mixed Dipterocarp Forest in Brunei

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Plant DNA Barcodes and Assessment of Phylogenetic Community Structure of a Tropical Mixed Dipterocarp Forest in Brunei Edinburgh Research Explorer Plant DNA barcodes and assessment of phylogenetic community structure of a tropical mixed dipterocarp forest in Brunei Darussalam (Borneo) Citation for published version: Heckenhauer, J, Salim, KA, Chase, MW, Dexter, K, Pennington, RT, Tan, S, Kaye, ME & Samuel, R 2017, 'Plant DNA barcodes and assessment of phylogenetic community structure of a tropical mixed dipterocarp forest in Brunei Darussalam (Borneo)', PLoS ONE. https://doi.org/10.1371/journal.pone.0185861 Digital Object Identifier (DOI): 10.1371/journal.pone.0185861 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: PLoS ONE General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 05. Oct. 2021 RESEARCH ARTICLE Plant DNA barcodes and assessment of phylogenetic community structure of a tropical mixed dipterocarp forest in Brunei Darussalam (Borneo) Jacqueline Heckenhauer1*, Kamariah Abu Salim2, Mark W. Chase3,4, Kyle G. Dexter5,6, R. Toby Pennington6,7, Sylvester Tan8, Maria Ellen Kaye9, Rosabelle Samuel1 a1111111111 1 Department of Botany and Biodiversity Research, Faculty of Life Sciences, University of Vienna, Vienna, a1111111111 Austria, 2 Environmental and Life Sciences, Faculty of Science, University of Brunei Darussalam, Gadong, a1111111111 Brunei Darussalam, 3 Jodrell Laboratory, Royal Botanic Gardens, Kew, Richmond, United Kingdom, a1111111111 4 School of Biological Sciences, The University of Western Australia, Crawley, Western Australia, Australia, a1111111111 5 School of GeoSciences, University of Edinburgh, Edinburgh, United Kingdom, 6 Royal Botanic Garden Edinburgh, Edinburgh, United Kingdom, 7 Geography, University of Exeter, Exeter, United Kingdom, 8 Sarawak Forest Department, Kuching, Sarawak, Malaysia, 9 School of Biological Science, University of Aberdeen, Aberdeen, United Kingdom * [email protected] OPEN ACCESS Citation: Heckenhauer J, Abu Salim K, Chase MW, Dexter KG, Pennington RT, Tan S, et al. (2017) Abstract Plant DNA barcodes and assessment of phylogenetic community structure of a tropical DNA barcoding is a fast and reliable tool to assess and monitor biodiversity and, via commu- mixed dipterocarp forest in Brunei Darussalam nity phylogenetics, to investigate ecological and evolutionary processes that may be responsi- (Borneo). PLoS ONE 12(10): e0185861. https://doi. ble for the community structure of forests. In this study, DNA barcodes for the two widely used org/10.1371/journal.pone.0185861 plastid coding regions rbcL and matK are used to contribute to identification of morphologically Editor: RunGuo Zang, Chinese Academy of undetermined individuals, as well as to investigate phylogenetic structure of tree communities Forestry, CHINA in 70 subplots (10 × 10m) of a 25-ha forest-dynamics plot in Brunei (Borneo, Southeast Asia). Received: June 2, 2017 The combined matrix (rbcL + matK) comprised 555 haplotypes (from 154 genera, 68 fami- Accepted: September 20, 2017 lies and 25 orders sensu APG, Angiosperm Phylogeny Group, 2016), making a substantial Published: October 19, 2017 contribution to tree barcode sequences from Southeast Asia. Barcode sequences were used Copyright: © 2017 Heckenhauer et al. This is an to reconstruct phylogenetic relationships using maximum likelihood, both with and without open access article distributed under the terms of constraining the topology of taxonomic orders to match that proposed by the Angiosperm Phy- the Creative Commons Attribution License, which logeny Group. A third phylogenetic tree was reconstructed using the program Phylomatic to permits unrestricted use, distribution, and investigate the influence of phylogenetic resolution on results. Detection of non-random pat- reproduction in any medium, provided the original author and source are credited. terns of community assembly was determined by net relatedness index (NRI) and nearest taxon index (NTI). In most cases, community assembly was either random or phylogenetically Data Availability Statement: Topographical raw data were provided by the CTFS-ForestGEO clustered, which likely indicates the importance to community structure of habitat filtering network and is therefore restricted. Sequences are based on phylogenetically correlated traits in determining community structure. Different phy- uploaded to the Barcode of Life Datasystem under logenetic trees gave similar overall results, but the Phylomatic tree produced greater variation the code DS-PCSBRU1 (BOLD-IDs are provided in across plots for NRI and NTI values, presumably due to noise introduced by using an unre- S1 Table) and to Genbank (accession numbers are provided in S1 Table). All other relevant data are solved phylogenetic tree. Our results suggest that using a DNA barcode tree has benefits within the paper and its Supporting Information over the traditionally used Phylomatic approach by increasing precision and accuracy and files (S1±S3 Tables, S1±S5 Texts). Additional data allowing the incorporation of taxonomically unidentified individuals into analyses. Requests may be sent to Dr. Kamariah Abu Salim: Environmental and Life Sciences, Faculty of PLOS ONE | https://doi.org/10.1371/journal.pone.0185861 October 19, 2017 1 / 24 Phylogenetic community structure of a tropical forest (Borneo) Science, University of Brunei Darussalam, Gadong, Introduction BE1410, Brunei Darussalam. e-mail: [email protected]; and Dr. Stuart Davies: Understanding community assembly and processes that are responsible for community diver- Director of Centre for Tropical Forest Science, sity, species differentiation, and coexistence are important in the face of rapid global ecosystem Smithsonian Tropical Research Institute, change [1]. Three mechanisms are often put forward as drivers of community assembly [1]: Washington DC, USA. e-mail: [email protected]. (1) niche-related processes, in which community assembly is influenced by competition [2] Funding: This work was funded by the Austrian and/or abiotic filters [3], (2) neutral processes, in which species are ecologically equivalent [4, Science Fund FWF (https://www.fwf.ac.at). The 5, 6], and (3) historical processes, which bring an evolutionary perspective into community grant (P26548-B22) was given to R. Samuel. The ecology [7, 8]. The relative importance of these processes for the assembly of communities and funders had no role in study design, data collection coexistence of species has been often debated [1, 5, 6, 9, 10, 11, 12]. Quantification of the phy- and analysis, decision to publish, or preparation of the manuscript. logenetic component of biodiversity has become important in studying community assembly [13, 14] and holds promise to resolve the controversy over the relative importance of neutral Competing interests: The authors have declared vs. niche-related processes [1]. Phylogenetic information permits an understanding of how that no competing interests exist. communities have evolved through time [15] and is being used increasingly to answer ques- tions of community assembly e.g. [1, 13, 14, 16, 17, 18]. Community phylogenetic structure can exhibit three basic forms, random, clustered and overdispersed [13], although these should be viewed as part of a continuum. In a phylogenetically clustered community, co-occurring species are more closely related than expected by chance. Conversely, a phylogenetically over- dispersed community contains species that are more distantly related than expected by chance. In turn, these forms are used as a proxy to suggest underlying mechanisms of community assembly [14]. Phylogenetic clustering can hint at abiotic-driven assembly processes (habitat filtering), which is based on the fact that under a given set of environmental conditions, closely related species are more likely to be similar in abiotically adaptive traits (trait conservatism). In contrast, in phylogenetically overdispersed communities, biotic interactions (e.g. interspecific competition) may be important in structuring the local community e.g. [19, 20]. These biotic factors can include herbivores and pathogens [21, 22, 23] because they are often specialized for the chemistry of related plants and therefore host shifts in general tend to occur among plants of similar chemistry [24]. Consequently, sharing of herbivores and pathogens could limit the coexistence of closely related plants that are similar in morphology and chemistry but facilitate coexistence of more distantly related plants with different traits. Community phylogenetics uses phylogenetic trees of co-occurring species within a commu- nity to calculate phylogenetic diversity statistics (e.g. phylogenetic diversity [25]), net relatedness index (NRI; [13]), and nearest taxon index (NTI; [13]). Rapid construction of a community phylogenetic tree is often achieved using the online interface Phylomatic [26], which trims a ref- erence tree for
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