1
|
Mabry ME, Abrahams RS, Al-Shehbaz IA, Baker WJ, Barak S, Barker MS, Barrett RL, Beric A, Bhattacharya S, Carey SB, Conant GC, Conran JG, Dassanayake M, Edger PP, Hall JC, Hao Y, Hendriks KP, Hibberd JM, King GJ, Kliebenstein DJ, Koch MA, Leitch IJ, Lens F, Lysak MA, McAlvay AC, McKibben MTW, Mercati F, Moore RC, Mummenhoff K, Murphy DJ, Nikolov LA, Pisias M, Roalson EH, Schranz ME, Thomas SK, Yu Q, Yocca A, Pires JC, Harkess AE. Complementing model species with model clades. THE PLANT CELL 2024; 36:1205-1226. [PMID: 37824826 PMCID: PMC11062466 DOI: 10.1093/plcell/koad260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 09/07/2023] [Accepted: 09/22/2023] [Indexed: 10/14/2023]
Abstract
Model species continue to underpin groundbreaking plant science research. At the same time, the phylogenetic resolution of the land plant tree of life continues to improve. The intersection of these 2 research paths creates a unique opportunity to further extend the usefulness of model species across larger taxonomic groups. Here we promote the utility of the Arabidopsis thaliana model species, especially the ability to connect its genetic and functional resources, to species across the entire Brassicales order. We focus on the utility of using genomics and phylogenomics to bridge the evolution and diversification of several traits across the Brassicales to the resources in Arabidopsis, thereby extending scope from a model species by establishing a "model clade." These Brassicales-wide traits are discussed in the context of both the model species Arabidopsis and the family Brassicaceae. We promote the utility of such a "model clade" and make suggestions for building global networks to support future studies in the model order Brassicales.
Collapse
Affiliation(s)
- Makenzie E Mabry
- Florida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA
| | - R Shawn Abrahams
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520, USA
- Department of Biochemistry, Purdue University, West Lafayette, IN 47906, USA
| | | | | | - Simon Barak
- Ben-Gurion University of the Negev, French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Midreshet Ben-Gurion, 8499000, Israel
| | - Michael S Barker
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Russell L Barrett
- National Herbarium of New South Wales, Australian Botanic Garden, Locked Bag 6002, Mount Annan, NSW 2567, Australia
| | - Aleksandra Beric
- Department of Psychiatry, Washington University in Saint Louis School of Medicine, St. Louis, MO 63110, USA
- NeuroGenomics and Informatics Center, Washington University in Saint Louis School of Medicine, St. Louis, MO 63108, USA
| | - Samik Bhattacharya
- Department of Biology, Botany, University of Osnabrück, D-49076 Osnabrück, Germany
| | - Sarah B Carey
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Gavin C Conant
- Department of Biological Sciences, Bioinformatics Research Center, Program in Genetics, North Carolina State University, Raleigh, NC 27695, USA
| | - John G Conran
- ACEBB and SGC, School of Biological Sciences, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Maheshi Dassanayake
- Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
| | - Patrick P Edger
- Department of Horticulture, Michigan State University, East Lansing, MI 48864, USA
| | - Jocelyn C Hall
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Yue Hao
- Cancer and Cell Biology Division, Translational Genomics Research Institute, Phoenix, AZ 85004, USA
| | - Kasper P Hendriks
- Department of Biology, Botany, University of Osnabrück, D-49076 Osnabrück, Germany
- Functional Traits, Naturalis Biodiversity Center, PO Box 9517, Leiden 2300 RA, the Netherlands
| | - Julian M Hibberd
- Department of Plant Sciences, University of Cambridge, Cambridge, CB2 1TN, UK
| | - Graham J King
- Southern Cross Plant Science, Southern Cross University, Lismore, NSW 2480, Australia
| | | | - Marcus A Koch
- Centre for Organismal Studies (COS), Heidelberg University, 69120 Heidelberg, Germany
| | - Ilia J Leitch
- Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK
| | - Frederic Lens
- Functional Traits, Naturalis Biodiversity Center, PO Box 9517, Leiden 2300 RA, the Netherlands
- Institute of Biology Leiden, Plant Sciences, Leiden University, 2333 BE Leiden, the Netherlands
| | - Martin A Lysak
- CEITEC, and NCBR, Faculty of Science, Masaryk University, 625 00 Brno, Czech Republic
| | - Alex C McAlvay
- Institute of Economic Botany, New York Botanical Garden, The Bronx, NY 10458, USA
| | - Michael T W McKibben
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Francesco Mercati
- National Research Council (CNR), Institute of Biosciences and Bioresource (IBBR), Palermo 90129, Italy
| | | | - Klaus Mummenhoff
- Department of Biology, Botany, University of Osnabrück, D-49076 Osnabrück, Germany
| | - Daniel J Murphy
- Royal Botanic Gardens Victoria, Melbourne, VIC 3004, Australia
| | | | - Michael Pisias
- Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA
| | - Eric H Roalson
- School of Biological Sciences, Washington State University, Pullman, WA 99164-4236, USA
| | - M Eric Schranz
- Biosystematics Group, Wageningen University, 6708 PB Wageningen, the Netherlands
| | - Shawn K Thomas
- Division of Biological Sciences, University of Missouri, Columbia, MO 65211, USA
- Bioinformatics and Analytics Core, University of Missouri, Columbia, MO 65211, USA
| | - Qingyi Yu
- Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center, Agricultural Research Service, United States Department of Agriculture, Hilo, HI 96720, USA
| | - Alan Yocca
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - J Chris Pires
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523-1170, USA
| | - Alex E Harkess
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| |
Collapse
|
2
|
Possamai Della A, Prado J. Areas of endemism of Pteridaceae (Polypodiopsida) in Brazil: a first approach. Cladistics 2024; 40:157-180. [PMID: 38124237 DOI: 10.1111/cla.12568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/25/2023] [Accepted: 11/29/2023] [Indexed: 12/23/2023] Open
Abstract
Areas of endemism (AoE) comprise regions host to two or more endemic taxa, whose distributional limits are congruent and not random. These areas are important for two reasons: they comprise the smallest geographic units for biogeographic analyses and they are priority targets for conservation actions. Ferns are a monophyletic group that despite having a wide geographic distribution, concentrates great species richness and endemism in some regions (centres). The southern and southeastern regions of Brazil comprise one of these centres for the Neotropics. This study aims to verify the AoE of Pteridaceae in Brazil and examine whether the results obtained here are congruent with areas already delimited for other groups and whether there is spatial correspondence between the AoE and Conservation Units. To this end, a database was created with collection records of the 205 Pteridaceae species occurring in Brazil based on a review of herbaria. We analysed 23 815 records for 205 Pteridaceae species using Endemicity Analysis (NDM-VNDM), selecting the fill and assumed parameters, and 1°, 2° and 3° grid-cells. The consensus of 158 AoE, using different grid sizes, was calculated, and subsequently, generalized AoE were established. The Guiana Shield, southern Brazil, southeastern Brazil, and southeastern Bahia were considered generalized AoE. These areas correspond to those found for animals and angiosperms, and in previous studies with ferns. Furthermore, two areas, Acre and Mato Grosso do Sul, were recovered only on grids with 2° and 3°. It will be essential to conduct more research to confirm the persistence of both AoE (Acre and Mato Grosso do Sul), especially after expanding sampling. Most endemic species distribution points occur outside protected areas, demonstrating an alarming situation regarding the conservation of these taxa. In addition, fern distribution data could (and should) be used in conservation practices, programmes and policies, given that they are good ecological indicators and that the distribution of ferns may not reflect that of angiosperms and animals.
Collapse
Affiliation(s)
- Aline Possamai Della
- Programa de Pós-Graduação em Botânica, Instituto de Biociências, Universidade de São Paulo, Rua do Matão 277, CEP 05508-090, São Paulo, SP, Brazil
| | - Jefferson Prado
- Instituto de Pesquisas Ambientais, Herbário SP, Av. Miguel Estéfano 3687, CEP 04301-012, São Paulo, SP, Brazil
| |
Collapse
|
3
|
Gomes-da-Silva J, Forzza RC. Two centuries of distribution data: detection of areas of endemism for the Brazilian angiosperms. Cladistics 2021; 37:442-458. [PMID: 34478191 DOI: 10.1111/cla.12445] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/26/2020] [Indexed: 11/30/2022] Open
Abstract
Brazil has high levels of biodiversity and has received strong criticism for the increasing country-wide deforestation that threatens it. Although a significant percentage of land area in Brazil is protected, the areas are insufficient and unevenly distributed. Many studies have contributed to the biogeographical knowledge of Brazilian flora, but no endemicity analysis (EA) has been conducted including all endemic angiosperms. We investigated the spatial component, drawing on a huge and taxonomically diverse dataset based on 827 016 records collected over the last two centuries. We conducted an EA for 15 034 species from 173 families using an optimality criterion with 2° and 3° grid sizes, in order to search for distributional concordance, to identify the biogeographical units and discuss the implications for conservation. Six analyses were run for basal angiosperms, monocots and eudicots. The EA recovered 66 consensus areas (CAs). The concordance of CAs enabled the identification of five best-supported areas of endemism--three in the Atlantic and Parana Forest and two areas in the Cerrado province--supported by species of 120 families. The age of divergence for some genera that contributed significantly to the identification of areas recovered in the Cerrado coincides with the recent, <10 Ma, estimated age of that province. By contrast, the areas in the Atlantic and Parana Forest are supported by genera with earlier diversification >30 Ma, supporting an ancient origin. Most areas in the Atlantic Forest are partially superimposed with the limits of the protected areas, however, big gaps were identified in the Cerrado. Protecting Brazilian biomes was at the heart of Brazil's environmental policy. Regrettably, this scenario has radically changed based on misleading divergences in conservation policy. Areas of endemism are pivotal for biodiversity conservation due to the common evolutionary history shared by their endemic taxa. Thus, we hope that these congruent patterns of endemism support the establishment of biodiversity priorities.
Collapse
Affiliation(s)
- Janaína Gomes-da-Silva
- Jardim Botânico do Rio de Janeiro, Rua Pacheco Leão, 915, Rio de Janeiro, RJ, 22460-030, Brazil.,Programa de Pós-Graduação em Botânica, Universidade Federal do Paraná, Av. Francisco Heráclito dos Santos s.n., Campus do Centro Politécnico, Curitiba, PR, 81531-980, Brazil
| | | |
Collapse
|