1
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Petitpas M, Lapous R, Le Duc M, Lariagon C, Lemoine J, Langrume C, Manzanares-Dauleux MJ, Jubault M. Environmental conditions modulate the effect of epigenetic factors controlling the response of Arabidopsis thaliana to Plasmodiophora brassicae. FRONTIERS IN PLANT SCIENCE 2024; 15:1245545. [PMID: 38872892 PMCID: PMC11171141 DOI: 10.3389/fpls.2024.1245545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 04/26/2024] [Indexed: 06/15/2024]
Abstract
The resistance of Arabidopsis thaliana to clubroot, a major disease of Brassicaceae caused by the obligate protist Plasmodiophora brassicae, is controlled in part by epigenetic factors. The detection of some of these epigenetic quantitative trait loci (QTLepi) has been shown to depend on experimental conditions. The aim of the present study was to assess whether and how temperature and/or soil water availability influenced both the detection and the extent of the effect of response QTLepi. The epigenetic recombinant inbred line (epiRIL) population, derived from the cross between ddm1-2 and Col-0 (partially resistant and susceptible to clubroot, respectively), was phenotyped for response to P. brassicae under four abiotic conditions including standard conditions, a 5°C temperature increase, drought, and flooding. The abiotic constraints tested had a significant impact on both the leaf growth of the epiRIL population and the outcome of the epiRIL-pathogen interaction. Linkage analysis led to the detection of a total of 31 QTLepi, 18 of which were specific to one abiotic condition and 13 common to at least two environments. EpiRIL showed significant plasticity under epigenetic control, which appeared to be specific to the traits evaluated and to the abiotic conditions. These results highlight that the environment can affect the epigenetic architecture of plant growth and immune responses and advance our understanding of the epigenetic factors underlying plasticity in response to climate change.
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Affiliation(s)
| | | | | | | | | | | | | | - Mélanie Jubault
- IGEPP, Institut Agro Rennes-Angers – INRAE – Université de Rennes, Le Rheu, France
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2
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Montgomery J, Morran S, MacGregor DR, McElroy JS, Neve P, Neto C, Vila-Aiub MM, Sandoval MV, Menéndez AI, Kreiner JM, Fan L, Caicedo AL, Maughan PJ, Martins BAB, Mika J, Collavo A, Merotto A, Subramanian NK, Bagavathiannan MV, Cutti L, Islam MM, Gill BS, Cicchillo R, Gast R, Soni N, Wright TR, Zastrow-Hayes G, May G, Malone JM, Sehgal D, Kaundun SS, Dale RP, Vorster BJ, Peters B, Lerchl J, Tranel PJ, Beffa R, Fournier-Level A, Jugulam M, Fengler K, Llaca V, Patterson EL, Gaines TA. Current status of community resources and priorities for weed genomics research. Genome Biol 2024; 25:139. [PMID: 38802856 PMCID: PMC11129445 DOI: 10.1186/s13059-024-03274-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 05/13/2024] [Indexed: 05/29/2024] Open
Abstract
Weeds are attractive models for basic and applied research due to their impacts on agricultural systems and capacity to swiftly adapt in response to anthropogenic selection pressures. Currently, a lack of genomic information precludes research to elucidate the genetic basis of rapid adaptation for important traits like herbicide resistance and stress tolerance and the effect of evolutionary mechanisms on wild populations. The International Weed Genomics Consortium is a collaborative group of scientists focused on developing genomic resources to impact research into sustainable, effective weed control methods and to provide insights about stress tolerance and adaptation to assist crop breeding.
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Affiliation(s)
- Jacob Montgomery
- Department of Agricultural Biology, Colorado State University, 1177 Campus Delivery, Fort Collins, CO, 80523, USA
| | - Sarah Morran
- Department of Agricultural Biology, Colorado State University, 1177 Campus Delivery, Fort Collins, CO, 80523, USA
| | - Dana R MacGregor
- Protecting Crops and the Environment, Rothamsted Research, Harpenden, Hertfordshire, UK
| | - J Scott McElroy
- Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, AL, USA
| | - Paul Neve
- Department of Plant and Environmental Sciences, University of Copenhagen, Taastrup, Denmark
| | - Célia Neto
- Department of Plant and Environmental Sciences, University of Copenhagen, Taastrup, Denmark
| | - Martin M Vila-Aiub
- IFEVA-Conicet-Department of Ecology, University of Buenos Aires, Buenos Aires, Argentina
| | | | - Analia I Menéndez
- Department of Ecology, Faculty of Agronomy, University of Buenos Aires, Buenos Aires, Argentina
| | - Julia M Kreiner
- Department of Botany, The University of British Columbia, Vancouver, BC, Canada
| | - Longjiang Fan
- Institute of Crop Sciences, Zhejiang University, Hangzhou, China
| | - Ana L Caicedo
- Department of Biology, University of Massachusetts Amherst, Amherst, MA, USA
| | - Peter J Maughan
- Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT, USA
| | | | - Jagoda Mika
- Bayer AG, Weed Control Research, Frankfurt, Germany
| | | | - Aldo Merotto
- Department of Crop Sciences, Federal University of Rio Grande Do Sul, Porto Alegre, Rio Grande Do Sul, Brazil
| | - Nithya K Subramanian
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, USA
| | | | - Luan Cutti
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA
| | | | - Bikram S Gill
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | - Robert Cicchillo
- Crop Protection Discovery and Development, Corteva Agriscience, Indianapolis, IN, USA
| | - Roger Gast
- Crop Protection Discovery and Development, Corteva Agriscience, Indianapolis, IN, USA
| | - Neeta Soni
- Crop Protection Discovery and Development, Corteva Agriscience, Indianapolis, IN, USA
| | - Terry R Wright
- Genome Center of Excellence, Corteva Agriscience, Johnston, IA, USA
| | | | - Gregory May
- Genome Center of Excellence, Corteva Agriscience, Johnston, IA, USA
| | - Jenna M Malone
- School of Agriculture, Food and Wine, University of Adelaide, Glen Osmond, South Australia, Australia
| | - Deepmala Sehgal
- Jealott's Hill International Research Centre, Syngenta Ltd, Bracknell, Berkshire, UK
| | - Shiv Shankhar Kaundun
- Jealott's Hill International Research Centre, Syngenta Ltd, Bracknell, Berkshire, UK
| | - Richard P Dale
- Jealott's Hill International Research Centre, Syngenta Ltd, Bracknell, Berkshire, UK
| | - Barend Juan Vorster
- Department of Plant and Soil Sciences, University of Pretoria, Pretoria, South Africa
| | - Bodo Peters
- Bayer AG, Weed Control Research, Frankfurt, Germany
| | | | - Patrick J Tranel
- Department of Crop Sciences, University of Illinois, Urbana, IL, USA
| | - Roland Beffa
- Senior Scientist Consultant, Herbicide Resistance Action Committee / CropLife International, Liederbach, Germany
| | | | - Mithila Jugulam
- Department of Agronomy, Kansas State University, Manhattan, KS, USA
| | - Kevin Fengler
- Genome Center of Excellence, Corteva Agriscience, Johnston, IA, USA
| | - Victor Llaca
- Genome Center of Excellence, Corteva Agriscience, Johnston, IA, USA
| | - Eric L Patterson
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA
| | - Todd A Gaines
- Department of Agricultural Biology, Colorado State University, 1177 Campus Delivery, Fort Collins, CO, 80523, USA.
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3
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Guo X, Liang R, Lou S, Hou J, Chen L, Liang X, Feng X, Yao Y, Liu J, Liu H. Natural variation in the SVP contributes to the pleiotropic adaption of Arabidopsis thaliana across contrasted habitats. J Genet Genomics 2023; 50:993-1003. [PMID: 37633338 DOI: 10.1016/j.jgg.2023.08.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 08/13/2023] [Accepted: 08/15/2023] [Indexed: 08/28/2023]
Abstract
Coordinated plant adaptation involves the interplay of multiple traits driven by habitat-specific selection pressures. Pleiotropic effects, wherein genetic variants of a single gene control multiple traits, can expedite such adaptations. Until present, only a limited number of genes have been reported to exhibit pleiotropy. Here, we create a recombinant inbred line (RIL) population derived from two Arabidopsis thaliana (A. thaliana) ecotypes originating from divergent habitats. Using this RIL population, we identify an allelic variation in a MADS-box transcription factor, SHORT VEGETATIVE PHASE (SVP), which exerts a pleiotropic effect on leaf size and drought-versus-humidity tolerance. Further investigation reveals that a natural null variant of the SVP protein disrupts its normal regulatory interactions with target genes, including GRF3, CYP707A1/3, and AtBG1, leading to increased leaf size, enhanced tolerance to humid conditions, and changes in flowering time of humid conditions in A. thaliana. Remarkably, polymorphic variations in this gene have been traced back to early A. thaliana populations, providing a genetic foundation and plasticity for subsequent colonization of diverse habitats by influencing multiple traits. These findings advance our understanding of how plants rapidly adapt to changing environments by virtue of the pleiotropic effects of individual genes on multiple trait alterations.
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Affiliation(s)
- Xiang Guo
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Ruyun Liang
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Shangling Lou
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Jing Hou
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Liyang Chen
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Xin Liang
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Xiaoqin Feng
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Yingjun Yao
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China
| | - Jianquan Liu
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China.
| | - Huanhuan Liu
- Key Laboratory for Bio-Resource and Eco-Environment of Ministry of Education & Sichuan Zoige Alpine Wetland Ecosystem National Observation and Research Station, College of Life Science, Sichuan University, Chengdu, Sichuan 610065, China.
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4
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Baumgarten L, Pieper B, Song B, Mane S, Lempe J, Lamb J, Cooke EL, Srivastava R, Strütt S, Žanko D, Casimiro PGP, Hallab A, Cartolano M, Tattersall AD, Huettel B, Filatov DA, Pavlidis P, Neuffer B, Bazakos C, Schaefer H, Mott R, Gan X, Alonso-Blanco C, Laurent S, Tsiantis M. Pan-European study of genotypes and phenotypes in the Arabidopsis relative Cardamine hirsuta reveals how adaptation, demography, and development shape diversity patterns. PLoS Biol 2023; 21:e3002191. [PMID: 37463141 PMCID: PMC10353826 DOI: 10.1371/journal.pbio.3002191] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 06/10/2023] [Indexed: 07/20/2023] Open
Abstract
We study natural DNA polymorphisms and associated phenotypes in the Arabidopsis relative Cardamine hirsuta. We observed strong genetic differentiation among several ancestry groups and broader distribution of Iberian relict strains in European C. hirsuta compared to Arabidopsis. We found synchronization between vegetative and reproductive development and a pervasive role for heterochronic pathways in shaping C. hirsuta natural variation. A single, fast-cycling ChFRIGIDA allele evolved adaptively allowing range expansion from glacial refugia, unlike Arabidopsis where multiple FRIGIDA haplotypes were involved. The Azores islands, where Arabidopsis is scarce, are a hotspot for C. hirsuta diversity. We identified a quantitative trait locus (QTL) in the heterochronic SPL9 transcription factor as a determinant of an Azorean morphotype. This QTL shows evidence for positive selection, and its distribution mirrors a climate gradient that broadly shaped the Azorean flora. Overall, we establish a framework to explore how the interplay of adaptation, demography, and development shaped diversity patterns of 2 related plant species.
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Affiliation(s)
- Lukas Baumgarten
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Bjorn Pieper
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Baoxing Song
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Sébastien Mane
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Janne Lempe
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Jonathan Lamb
- Department of Biology, University of Oxford, Oxford, United Kingdom
| | - Elizabeth L. Cooke
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Rachita Srivastava
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Stefan Strütt
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Danijela Žanko
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | | | - Asis Hallab
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Maria Cartolano
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | | | - Bruno Huettel
- Max Planck Genome Centre Cologne, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | | | - Pavlos Pavlidis
- Institute of Computer Science, Foundation for Research and Technology, Crete, Greece
| | - Barbara Neuffer
- Department of Botany, University of Osnabrück, Osnabrück, Germany
| | - Christos Bazakos
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Hanno Schaefer
- Department Life Science Systems, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Richard Mott
- Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Xiangchao Gan
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Carlos Alonso-Blanco
- Department of Plant Molecular Genetics, Centro Nacional de Biotecnología (CNB), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Stefan Laurent
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Miltos Tsiantis
- Department of Comparative Development and Genetics, Max Planck Institute for Plant Breeding Research, Cologne, Germany
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5
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Plancade S, Marchadier E, Huet S, Ressayre A, Noûs C, Dillmann C. A successive time-to-event model of phyllochron dynamics for hypothesis testing: application to the analysis of genetic and environmental effects in maize. PLANT METHODS 2023; 19:54. [PMID: 37287031 DOI: 10.1186/s13007-023-01029-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 05/09/2023] [Indexed: 06/09/2023]
Abstract
BACKGROUND The time between the appearance of successive leaves, or phyllochron, characterizes the vegetative development of annual plants. Hypothesis testing models, which allow the comparison of phyllochrons between genetic groups and/or environmental conditions, are usually based on regression of thermal time on the number of leaves; most of the time a constant leaf appearance rate is assumed. However regression models ignore auto-correlation of the leaf number process and may lead to biased testing procedures. Moreover, the hypothesis of constant leaf appearance rate may be too restrictive. METHODS We propose a stochastic process model in which emergence of new leaves is considered to result from successive time-to-events. This model provides a flexible and more accurate modeling as well as unbiased testing procedures. It was applied to an original maize dataset collected in the field over three years on plants originating from two divergent selection experiments for flowering time in two maize inbred lines. RESULTS AND CONCLUSION We showed that the main differences in phyllochron were not observed between selection populations but rather between ancestral lines, years of experimentation and leaf ranks. Our results highlight a strong departure from the assumption of a constant leaf appearance rate over a season which could be related to climate variations, even if the impact of individual climate variables could not be clearly determined.
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Affiliation(s)
- Sandra Plancade
- UR MIAT, University of Toulouse, INRAE, 31320, Castanet-Tolosan, France.
| | - Elodie Marchadier
- GQE - Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12 route 128, 91190, Gif-sur-Yvette, France
| | - Sylvie Huet
- MaIAGE, Université Paris-Saclay, INRAE, 78350, Jouy-en-Josas, France
| | - Adrienne Ressayre
- GQE - Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12 route 128, 91190, Gif-sur-Yvette, France
| | - Camille Noûs
- Cogitamus Laboratory, 31320, Castanet-Tolosan, France
| | - Christine Dillmann
- GQE - Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12 route 128, 91190, Gif-sur-Yvette, France
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6
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Clauw P, Kerdaffrec E, Gunis J, Reichardt-Gomez I, Nizhynska V, Koemeda S, Jez J, Nordborg M. Locally adaptive temperature response of vegetative growth in Arabidopsis thaliana. eLife 2022; 11:77913. [PMID: 35904422 PMCID: PMC9337855 DOI: 10.7554/elife.77913] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 07/13/2022] [Indexed: 02/06/2023] Open
Abstract
We investigated early vegetative growth of natural Arabidopsis thaliana accessions in cold, nonfreezing temperatures, similar to temperatures these plants naturally encounter in fall at northern latitudes. We found that accessions from northern latitudes produced larger seedlings than accessions from southern latitudes, partly as a result of larger seed size. However, their subsequent vegetative growth when exposed to colder temperatures was slower. The difference was too large to be explained by random population differentiation, and is thus suggestive of local adaptation, a notion that is further supported by substantial transcriptome and metabolome changes in northern accessions. We hypothesize that the reduced growth of northern accessions is an adaptive response and a consequence of reallocating resources toward cold acclimation and winter survival.
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Affiliation(s)
- Pieter Clauw
- Gregor Mendel Institute of Molecular Plant Biology, Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
| | - Envel Kerdaffrec
- Department of Biology, University of Fribourg, Fribourg, Switzerland
| | - Joanna Gunis
- Gregor Mendel Institute of Molecular Plant Biology, Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
| | | | - Viktoria Nizhynska
- Gregor Mendel Institute of Molecular Plant Biology, Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
| | - Stefanie Koemeda
- Plant Sciences Facility, Vienna BioCenter Core Facilities GmbH, Vienna, Austria
| | - Jakub Jez
- Plant Sciences Facility, Vienna BioCenter Core Facilities GmbH, Vienna, Austria
| | - Magnus Nordborg
- Gregor Mendel Institute of Molecular Plant Biology, Austrian Academy of Sciences, Vienna BioCenter, Vienna, Austria
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7
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Morón-García O, Garzón-Martínez GA, Martínez-Martín MJP, Brook J, Corke FMK, Doonan JH, Camargo Rodríguez AV. Genetic architecture of variation in Arabidopsis thaliana rosettes. PLoS One 2022; 17:e0263985. [PMID: 35171969 PMCID: PMC8849614 DOI: 10.1371/journal.pone.0263985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 02/01/2022] [Indexed: 12/04/2022] Open
Abstract
Rosette morphology across Arabidopsis accessions exhibits considerable variation. Here we report a high-throughput phenotyping approach based on automatic image analysis to quantify rosette shape and dissect the underlying genetic architecture. Shape measurements of the rosettes in a core set of Recombinant Inbred Lines from an advanced mapping population (Multiparent Advanced Generation Inter-Cross or MAGIC) derived from inter-crossing 19 natural accessions. Image acquisition and analysis was scaled to extract geometric descriptors from time stamped images of growing rosettes. Shape analyses revealed heritable morphological variation at early juvenile stages and QTL mapping resulted in over 116 chromosomal regions associated with trait variation within the population. Many QTL linked to variation in shape were located near genes related to hormonal signalling and signal transduction pathways while others are involved in shade avoidance and transition to flowering. Our results suggest rosette shape arises from modular integration of sub-organ morphologies and can be considered a functional trait subjected to selective pressures of subsequent morphological traits. On an applied aspect, QTLs found will be candidates for further research on plant architecture.
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Affiliation(s)
- Odín Morón-García
- The National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Aberystwyth, United Kingdom
| | - Gina A. Garzón-Martínez
- The National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Aberystwyth, United Kingdom
| | - M. J. Pilar Martínez-Martín
- The National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Aberystwyth, United Kingdom
| | - Jason Brook
- The National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Aberystwyth, United Kingdom
| | - Fiona M. K. Corke
- The National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Aberystwyth, United Kingdom
| | - John H. Doonan
- The National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Aberystwyth, United Kingdom
- * E-mail: (AVCR); (JHD)
| | - Anyela V. Camargo Rodríguez
- The National Plant Phenomics Centre, Institute of Biological, Rural and Environmental Sciences (IBERS), Aberystwyth University, Aberystwyth, United Kingdom
- * E-mail: (AVCR); (JHD)
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8
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Yi C, Wang X, Chen Q, Callahan DL, Fournier-Level A, Whelan J, Jost R. Diverse phosphate and auxin transport loci distinguish phosphate tolerant from sensitive Arabidopsis accessions. PLANT PHYSIOLOGY 2021; 187:2656-2673. [PMID: 34636851 PMCID: PMC8644285 DOI: 10.1093/plphys/kiab441] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 08/18/2021] [Indexed: 05/11/2023]
Abstract
Phosphorus (P) is an essential element for plant growth often limiting agroecosystems. To identify genetic determinants of performance under variable phosphate (Pi) supply, we conducted genome-wide association studies on five highly predictive Pi starvation response traits in 200 Arabidopsis (Arabidopsis thaliana) accessions. Pi concentration in Pi-limited organs had the strongest, and primary root length had the weakest genetic component. Of 70 trait-associated candidate genes, 17 responded to Pi withdrawal. The PHOSPHATE TRANSPORTER1 gene cluster on chromosome 5 comprises PHT1;1, PHT1;2, and PHT1;3 with known impact on P status. A second locus featured uncharacterized endomembrane-associated auxin efflux carrier encoding PIN-LIKES7 (PILS7) which was more strongly suppressed in Pi-limited roots of Pi-starvation sensitive accessions. In the Col-0 background, Pi uptake and organ growth were impaired in both Pi-limited pht1;1 and two pils7 T-DNA insertion mutants, while Pi -limited pht1;2 had higher biomass and pht1;3 was indistinguishable from wild-type. Copy number variation at the PHT1 locus with loss of the PHT1;3 gene and smaller scale deletions in PHT1;1 and PHT1;2 predicted to alter both protein structure and function suggest diversification of PHT1 is a key driver for adaptation to P limitation. Haplogroup analysis revealed a phosphorylation site in the protein encoded by the PILS7 allele from stress-sensitive accessions as well as additional auxin-responsive elements in the promoter of the "stress tolerant" allele. The former allele's inability to complement the pils7-1 mutant in the Col-0 background implies the presence of a kinase signaling loop controlling PILS7 activity in accessions from P-rich environments, while survival in P-poor environments requires fine-tuning of stress-responsive root auxin signaling.
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Affiliation(s)
- Changyu Yi
- Department of Animal, Plant and Soil Sciences and La Trobe Institute for Agriculture and Food (LIAF), ARC Centre of Excellence in Plant Energy Biology, School of Life Sciences, La Trobe University, Bundoora VIC 3086, Australia
| | - Xinchao Wang
- Key Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture and Rural Affairs, Tea Research Institute, Chinese Academy of Agricultural Sciences, Zhejiang 31008, China
| | - Qian Chen
- Department of Animal, Plant and Soil Sciences and La Trobe Institute for Agriculture and Food (LIAF), ARC Centre of Excellence in Plant Energy Biology, School of Life Sciences, La Trobe University, Bundoora VIC 3086, Australia
| | - Damien L Callahan
- Centre for Chemistry and Biotechnology, School of Life and Environmental Sciences, Deakin University (Burwood Campus), Burwood VIC 3125, Australia
| | | | - James Whelan
- Department of Animal, Plant and Soil Sciences and La Trobe Institute for Agriculture and Food (LIAF), ARC Centre of Excellence in Plant Energy Biology, School of Life Sciences, La Trobe University, Bundoora VIC 3086, Australia
| | - Ricarda Jost
- Department of Animal, Plant and Soil Sciences and La Trobe Institute for Agriculture and Food (LIAF), ARC Centre of Excellence in Plant Energy Biology, School of Life Sciences, La Trobe University, Bundoora VIC 3086, Australia
- Author for communication:
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9
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Mapping of Quantitative Trait Loci (QTL) Associated with Plant Freezing Tolerance and Cold Acclimation. Methods Mol Biol 2021. [PMID: 32607976 DOI: 10.1007/978-1-0716-0660-5_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Most agronomic traits are determined by quantitative trait loci (QTL) and exhibit continuous distribution in natural or especially built segregating populations. The genetic architecture and the hereditary characteristics of these traits are much more complicated than those of oligogenic traits and need adapted strategies for deciphering. The model plant Arabidopsis thaliana is widely studied for quantitative traits, especially via the utilization of genetic natural diversity. Here we describe a QTL-mapping protocol for analyzing freezing tolerance after cold acclimation in this species, based on its specific genetic tools. Nevertheless, this approach can be applied for the elucidation of complex traits in others species.
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10
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Sato Y, Takeda K, Nagano AJ. Neighbor QTL: an interval mapping method for quantitative trait loci underlying plant neighborhood effects. G3 (BETHESDA, MD.) 2021; 11:jkab017. [PMID: 33709120 PMCID: PMC8022948 DOI: 10.1093/g3journal/jkab017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/11/2021] [Indexed: 12/13/2022]
Abstract
Phenotypes of sessile organisms, such as plants, rely not only on their own genotypes but also on those of neighboring individuals. Previously, we incorporated such neighbor effects into a single-marker regression using the Ising model of ferromagnetism. However, little is known regarding how neighbor effects should be incorporated in quantitative trait locus (QTL) mapping. In this study, we propose a new method for interval QTL mapping of neighbor effects, designated "neighbor QTL," the algorithm of which includes: (1) obtaining conditional self-genotype probabilities with recombination fraction between flanking markers; (2) calculating conditional neighbor genotypic identity using the self-genotype probabilities; and (3) estimating additive and dominance deviations for neighbor effects. Our simulation using F2 and backcross lines showed that the power to detect neighbor effects increased as the effective range decreased. The neighbor QTL was applied to insect herbivory on Col × Kas recombinant inbred lines of Arabidopsis thaliana. Consistent with previous results, the pilot experiment detected a self-QTL effect on the herbivory at the GLABRA1 locus. Regarding neighbor QTL effects on herbivory, we observed a weak QTL on the top of chromosome 4, at which a weak self-bolting QTL was also identified. The neighbor QTL method is available as an R package (https://cran.r-project.org/package=rNeighborQTL), providing a novel tool to investigate neighbor effects in QTL studies.
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Affiliation(s)
- Yasuhiro Sato
- Precursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency, Kawaguchi 332-0012, Japan
- Research Institute for Food and Agriculture, Ryukoku University, Shiga 520-2194, Japan
| | - Kazuya Takeda
- Center for Ecological Research, Kyoto University, Shiga 520-2113, Japan
| | - Atsushi J Nagano
- Faculty of Agriculture, Ryukoku University, Shiga 520-2194, Japan
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11
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Meyer RC, Weigelt-Fischer K, Knoch D, Heuermann M, Zhao Y, Altmann T. Temporal dynamics of QTL effects on vegetative growth in Arabidopsis thaliana. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:476-490. [PMID: 33080013 DOI: 10.1093/jxb/eraa490] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 10/19/2020] [Indexed: 06/11/2023]
Abstract
We assessed early vegetative growth in a population of 382 accessions of Arabidopsis thaliana using automated non-invasive high-throughput phenotyping. All accessions were imaged daily from 7 d to 18 d after sowing in three independent experiments and genotyped using the Affymetrix 250k SNP array. Projected leaf area (PLA) was derived from image analysis and used to calculate relative growth rates (RGRs). In addition, initial seed size was determined. The generated datasets were used jointly for a genome-wide association study that identified 238 marker-trait associations (MTAs) individually explaining up to 8% of the total phenotypic variation. Co-localization of MTAs occurred at 33 genomic positions. At 21 of these positions, sequential co-localization of MTAs for 2-9 consecutive days was observed. The detected MTAs for PLA and RGR could be grouped according to their temporal expression patterns, emphasizing that temporal variation of MTA action can be observed even during the vegetative growth phase, a period of continuous formation and enlargement of seemingly similar rosette leaves. This indicates that causal genes may be differentially expressed in successive periods. Analyses of the temporal dynamics of biological processes are needed to gain important insight into the molecular mechanisms of growth-controlling processes in plants.
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Affiliation(s)
- Rhonda C Meyer
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, Research Group Heterosis, OT Gatersleben, Corrensstraße, Seeland, Germany
| | - Kathleen Weigelt-Fischer
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, Research Group Heterosis, OT Gatersleben, Corrensstraße, Seeland, Germany
| | - Dominic Knoch
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, Research Group Heterosis, OT Gatersleben, Corrensstraße, Seeland, Germany
| | - Marc Heuermann
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, Research Group Heterosis, OT Gatersleben, Corrensstraße, Seeland, Germany
| | - Yusheng Zhao
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Breeding Research, Research Group Quantitative Genetics, OT Gatersleben, Corrensstraße, Seeland, Germany
| | - Thomas Altmann
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Molecular Genetics, Research Group Heterosis, OT Gatersleben, Corrensstraße, Seeland, Germany
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12
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Heuclin B, Mortier F, Trottier C, Denis M. Bayesian varying coefficient model with selection: An application to functional mapping. J R Stat Soc Ser C Appl Stat 2020. [DOI: 10.1111/rssc.12447] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Benjamin Heuclin
- IMAG, Univ Montpellier, CNRS Montpellier France
- CIRAD, UMR AGAP Montpellier France
| | - Frédéric Mortier
- Forêts et Sociétés Cirad Montpellier France
- Forêts et Sociétés Univ Montpellier, Cirad Montpellier France
| | - Catherine Trottier
- IMAG, Univ Montpellier, CNRS Montpellier France
- Univ Paul‐Valéry Montpellier 3 Montpellier France
| | - Marie Denis
- CIRAD, UMR AGAP Montpellier France
- AGAP Univ Montpellier, CIRAD, INRAE, Institut Agro Montpellier France
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13
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Multiple Loci Control Variation in Plasticity to Foliar Shade Throughout Development in Arabidopsis thaliana. G3-GENES GENOMES GENETICS 2020; 10:4103-4114. [PMID: 32988993 PMCID: PMC7642929 DOI: 10.1534/g3.120.401259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The shade avoidance response is a set of developmental changes exhibited by plants to avoid shading by competitors, and is an important model of adaptive plant plasticity. While the mechanisms of sensing shading by other plants are well-known and appear conserved across plants, less is known about the developmental mechanisms that result in the diverse array of morphological and phenological responses to shading. This is particularly true for traits that appear later in plant development. Here we use a nested association mapping (NAM) population of Arabidopsis thaliana to decipher the genetic architecture of the shade avoidance response in late-vegetative and reproductive plants. We focused on four traits: bolting time, rosette size, inflorescence growth rate, and inflorescence size, found plasticity in each trait in response to shade, and detected 17 total QTL; at least one of which is a novel locus not previously identified for shade responses in Arabidopsis. Using path analysis, we dissected each colocalizing QTL into direct effects on each trait and indirect effects transmitted through direct effects on earlier developmental traits. Doing this separately for each of the seven NAM populations in each environment, we discovered considerable heterogeneity among the QTL effects across populations, suggesting allelic series at multiple QTL or interactions between QTL and the genetic background or the environment. Our results provide insight into the development and variation in shade avoidance responses in Arabidopsis, and emphasize the value of directly modeling the relationships among traits when studying the genetics of complex developmental syndromes.
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14
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González R, Butković A, Rivarez MPS, Elena SF. Natural variation in Arabidopsis thaliana rosette area unveils new genes involved in plant development. Sci Rep 2020; 10:17600. [PMID: 33077802 PMCID: PMC7788084 DOI: 10.1038/s41598-020-74723-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 10/06/2020] [Indexed: 11/08/2022] Open
Abstract
Growth is a complex trait influenced by multiple genes that act at different moments during the development of an organism. This makes it difficult to spot its underlying genetic mechanisms. Since plant growth is intimately related to the effective leaf surface area (ELSA), identifying genes controlling this trait will shed light on our understanding of plant growth. To find new genes with a significant contribution to plant growth, here we used the natural variation in Arabidopsis thaliana to perform a genome-wide association study of ELSA. To do this, the projected rosette area of 710 worldwide distributed natural accessions was measured and analyzed using the genome-wide efficient mixed model association algorithm. From this analysis, ten genes were identified having SNPs with a significant association with ELSA. To validate the implication of these genes into A. thaliana growth, six of them were further studied by phenotyping knock-out mutant plants. It was observed that rem1.2, orc1a, ppd1, and mcm4 mutants showed different degrees of reduction in rosette size, thus confirming the role of these genes in plant growth. Our study identified genes already known to be involved in plant growth but also assigned this role, for the first time, to other genes.
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Affiliation(s)
- Rubén González
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-Universitat de València, Parc Cientific UV, Catedrático Agustín Escardino 9, Paterna, 46980, Valencia, Spain.
| | - Anamarija Butković
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-Universitat de València, Parc Cientific UV, Catedrático Agustín Escardino 9, Paterna, 46980, Valencia, Spain
| | - Mark Paul Selda Rivarez
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-Universitat de València, Parc Cientific UV, Catedrático Agustín Escardino 9, Paterna, 46980, Valencia, Spain
- Department of Biotechnology and Systems Biology, National Institute of Biology, Večna pot 111, 1000, Ljubljana, Slovenia
| | - Santiago F Elena
- Instituto de Biología Integrativa de Sistemas (I2SysBio), CSIC-Universitat de València, Parc Cientific UV, Catedrático Agustín Escardino 9, Paterna, 46980, Valencia, Spain
- The Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM, 87501, USA
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Maize Introgression Library Provides Evidence for the Involvement of liguleless1 in Resistance to Northern Leaf Blight. G3-GENES GENOMES GENETICS 2020; 10:3611-3622. [PMID: 32816917 PMCID: PMC7534436 DOI: 10.1534/g3.120.401500] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Plant disease resistance is largely governed by complex genetic architecture. In maize, few disease resistance loci have been characterized. Near-isogenic lines are a powerful genetic tool to dissect quantitative trait loci. We analyzed an introgression library of maize (Zea mays) near-isogenic lines, termed a nested near-isogenic line library for resistance to northern leaf blight caused by the fungal pathogen Setosphaeria turcica The population was comprised of 412 BC5F4 near-isogenic lines that originated from 18 diverse donor parents and a common recurrent parent, B73. Single nucleotide polymorphisms identified through genotyping by sequencing were used to define introgressions and for association analysis. Near-isogenic lines that conferred resistance and susceptibility to northern leaf blight were comprised of introgressions that overlapped known northern leaf blight quantitative trait loci. Genome-wide association analysis and stepwise regression further resolved five quantitative trait loci regions, and implicated several candidate genes, including Liguleless1, a key determinant of leaf architecture in cereals. Two independently-derived mutant alleles of liguleless1 inoculated with S. turcica showed enhanced susceptibility to northern leaf blight. In the maize nested association mapping population, leaf angle was positively correlated with resistance to northern leaf blight in five recombinant inbred line populations, and negatively correlated with northern leaf blight in four recombinant inbred line populations. This study demonstrates the power of an introgression library combined with high density marker coverage to resolve quantitative trait loci. Furthermore, the role of liguleless1 in leaf architecture and in resistance to northern leaf blight has important applications in crop improvement.
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16
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The genetic framework of shoot regeneration in Arabidopsis comprises master regulators and conditional fine-tuning factors. Commun Biol 2020; 3:549. [PMID: 33009513 PMCID: PMC7532540 DOI: 10.1038/s42003-020-01274-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 09/04/2020] [Indexed: 12/21/2022] Open
Abstract
Clonal propagation and genetic engineering of plants requires regeneration, but many species are recalcitrant and there is large variability in explant responses. Here, we perform a genome-wide association study using 190 natural Arabidopsis accessions to dissect the genetics of shoot regeneration from root explants and several related in vitro traits. Strong variation is found in the recorded phenotypes and association mapping pinpoints a myriad of quantitative trait genes, including prior candidates and potential novel regeneration determinants. As most of these genes are trait- and protocol-specific, we propose a model wherein shoot regeneration is governed by many conditional fine-tuning factors and a few universal master regulators such as WUSCHEL, whose transcript levels correlate with natural variation in regenerated shoot numbers. Potentially novel genes in this last category are AT3G09925, SUP, EDA40 and DOF4.4. We urge future research in the field to consider multiple conditions and genetic backgrounds. Robin Lardon et al. report a genome-wide association study of shoot regeneration in Arabidopsis under 2 different in vitro incubation conditions. They find wide variation in regeneration phenotypes, attributable to allelic variants in key developmental genes, and show that genetic association patterns differ depending on environmental factors.
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17
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Natural Variation in Plant Pluripotency and Regeneration. PLANTS 2020; 9:plants9101261. [PMID: 32987766 PMCID: PMC7598583 DOI: 10.3390/plants9101261] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 09/03/2020] [Accepted: 09/21/2020] [Indexed: 12/14/2022]
Abstract
Plant regeneration is essential for survival upon wounding and is, hence, considered to be a strong natural selective trait. The capacity of plant tissues to regenerate in vitro, however, varies substantially between and within species and depends on the applied incubation conditions. Insight into the genetic factors underlying this variation may help to improve numerous biotechnological applications that exploit in vitro regeneration. Here, we review the state of the art on the molecular framework of de novo shoot organogenesis from root explants in Arabidopsis, which is a complex process controlled by multiple quantitative trait loci of various effect sizes. Two types of factors are distinguished that contribute to natural regenerative variation: master regulators that are conserved in all experimental systems (e.g., WUSCHEL and related homeobox genes) and conditional regulators whose relative role depends on the explant and the incubation settings. We further elaborate on epigenetic variation and protocol variables that likely contribute to differential explant responsivity within species and conclude that in vitro shoot organogenesis occurs at the intersection between (epi) genetics, endogenous hormone levels, and environmental influences.
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18
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Natural variation at FLM splicing has pleiotropic effects modulating ecological strategies in Arabidopsis thaliana. Nat Commun 2020; 11:4140. [PMID: 32811829 PMCID: PMC7435183 DOI: 10.1038/s41467-020-17896-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 07/16/2020] [Indexed: 01/06/2023] Open
Abstract
Investigating the evolution of complex phenotypes and the underlying molecular bases of their variation is critical to understand how organisms adapt to their environment. Applying classical quantitative genetics on a segregating population derived from a Can-0xCol-0 cross, we identify the MADS-box transcription factor FLOWERING LOCUS M (FLM) as a player of the phenotypic variation in plant growth and color. We show that allelic variation at FLM modulates plant growth strategy along the leaf economics spectrum, a trade-off between resource acquisition and resource conservation, observable across thousands of plant species. Functional differences at FLM rely on a single intronic substitution, disturbing transcript splicing and leading to the accumulation of non-functional FLM transcripts. Associations between this substitution and phenotypic and climatic data across Arabidopsis natural populations, show how noncoding genetic variation at a single gene might be adaptive through pleiotropic effects. FLOWERING LOCUS M (FLM) is known as a repressor of Arabidopsis flowering. Here, the authors show that a single intronic substitution of FLM modulates leaf color and plant growth strategy along the leaf economics spectrum, as well as plays a role in plant adaptation.
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19
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Sun P, Jia H, Zhang Y, Li J, Lu M, Hu J. Deciphering Genetic Architecture of Adventitious Root and Related Shoot Traits in Populus Using QTL Mapping and RNA-Seq Data. Int J Mol Sci 2019; 20:ijms20246114. [PMID: 31817197 PMCID: PMC6941115 DOI: 10.3390/ijms20246114] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 11/25/2019] [Accepted: 11/29/2019] [Indexed: 11/16/2022] Open
Abstract
Understanding the genetic architecture of adventitious root and related shoot traits will facilitate the cultivation of superior genotypes. In this study, we measured 12 adventitious root and related shoot traits of 434 F1 genotypes originating from Populus deltoides ‘Danhong’ × Populus simonii ‘Tongliao1’ and conducted an integrative analysis of quantitative trait locus (QTL) mapping and RNA-Seq data to dissect their genetic architecture and regulatory genes. Extensive segregation, high repeatability, and significant correlation relationship were detected for the investigated traits. A total of 150 QTLs were associated with adventitious root traits, explaining 3.1–6.1% of phenotypic variation (PVE); while 83 QTLs were associated with shoot traits, explaining 3.1–19.8% of PVE. Twenty-five QTL clusters and 40 QTL hotspots were identified for the investigated traits. Ten QTL clusters were overlapped in both adventitious root traits and related shoot traits. Transcriptome analysis identified 10,172 differentially expressed genes (DEGs) among two parents, three fine rooting and three poor-rooting genotypes, 143 of which were physically located within the QTL intervals. K-means cluster and weighted gene co-expression network analysis showed that PtAAAP19 (Potri.004G111400) encoding amino acid transport protein was tightly associated with adventitious roots and highly expressed in fine-rooting genotypes. Compare with ‘Danhong’, 153 bp deletion in the coding sequence of PtAAAP19 in ‘Tongliao1’ gave rise to lack one transmembrane domain, which might cause the variation of adventitious roots. Taken together, this study deciphered the genetic basis of adventitious root and related shoot traits and provided potential function genes for genetic improvement of poplar breeding.
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Affiliation(s)
- Pei Sun
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; (P.S.); (H.J.); (M.L.)
| | - Huixia Jia
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; (P.S.); (H.J.); (M.L.)
| | - Yahong Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; (P.S.); (H.J.); (M.L.)
| | - Jianbo Li
- Experimental Center of Forestry in North China, Chinese Academy of Forestry, Beijing 102300, China
| | - Mengzhu Lu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; (P.S.); (H.J.); (M.L.)
- Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Jianjun Hu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China; (P.S.); (H.J.); (M.L.)
- Collaborative Innovation Center of Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
- Correspondence: ; Tel: +86-10-62888862
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20
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de Jong M, Tavares H, Pasam RK, Butler R, Ward S, George G, Melnyk CW, Challis R, Kover PX, Leyser O. Natural variation in Arabidopsis shoot branching plasticity in response to nitrate supply affects fitness. PLoS Genet 2019; 15:e1008366. [PMID: 31539368 PMCID: PMC6774567 DOI: 10.1371/journal.pgen.1008366] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 10/02/2019] [Accepted: 08/09/2019] [Indexed: 12/20/2022] Open
Abstract
The capacity of organisms to tune their development in response to environmental cues is pervasive in nature. This phenotypic plasticity is particularly striking in plants, enabled by their modular and continuous development. A good example is the activation of lateral shoot branches in Arabidopsis, which develop from axillary meristems at the base of leaves. The activity and elongation of lateral shoots depends on the integration of many signals both external (e.g. light, nutrient supply) and internal (e.g. the phytohormones auxin, strigolactone and cytokinin). Here, we characterise natural variation in plasticity of shoot branching in response to nitrate supply using two diverse panels of Arabidopsis lines. We find extensive variation in nitrate sensitivity across these lines, suggesting a genetic basis for variation in branching plasticity. High plasticity is associated with extreme branching phenotypes such that lines with the most branches on high nitrate have the fewest under nitrate deficient conditions. Conversely, low plasticity is associated with a constitutively moderate level of branching. Furthermore, variation in plasticity is associated with alternative life histories with the low plasticity lines flowering significantly earlier than high plasticity lines. In Arabidopsis, branching is highly correlated with fruit yield, and thus low plasticity lines produce more fruit than high plasticity lines under nitrate deficient conditions, whereas highly plastic lines produce more fruit under high nitrate conditions. Low and high plasticity, associated with early and late flowering respectively, can therefore be interpreted alternative escape vs mitigate strategies to low N environments. The genetic architecture of these traits appears to be highly complex, with only a small proportion of the estimated genetic variance detected in association mapping.
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Affiliation(s)
- Maaike de Jong
- Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom
- Department of Biology, University of York, York, United Kingdom
| | - Hugo Tavares
- Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom
| | - Raj K. Pasam
- Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom
| | - Rebecca Butler
- Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom
| | - Sally Ward
- Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom
- Department of Biology, University of York, York, United Kingdom
| | - Gilu George
- Department of Biology, University of York, York, United Kingdom
| | - Charles W. Melnyk
- Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom
| | - Richard Challis
- Department of Biology, University of York, York, United Kingdom
| | - Paula X. Kover
- Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, United Kingdom
| | - Ottoline Leyser
- Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom
- Department of Biology, University of York, York, United Kingdom
- * E-mail:
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