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Patiabadi Z, Razmkabir M, EsmailizadehKoshkoiyeh A, Moradi MH, Rashidi A, Mahmoudi P. Whole-genome scan for selection signature associated with temperature adaptation in Iranian sheep breeds. PLoS One 2024; 19:e0309023. [PMID: 39150936 PMCID: PMC11329119 DOI: 10.1371/journal.pone.0309023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 07/31/2024] [Indexed: 08/18/2024] Open
Abstract
The present study aimed to identify the selection signature associated with temperature adaptation in Iranian sheep breeds raised in cold and hot environments. The Illumina HD ovine SNP600K BeadChip genomic arrays were utilized to analyze 114 animals from eight Iranian sheep breeds, namely Ghezel, Afshari, Shall, Sanjabi, Lori-Bakhtiari, Karakul, Kermani, and Balochi. All animals were classified into two groups: cold-weather breeds and hot-weather breeds, based on the environments to which they are adapted and the regions where they have been raised for many years. The unbiased FST (Theta) and hapFLK tests were used to identify the selection signatures. The results revealed five genomic regions on chromosomes 2, 10, 11, 13, and 14 using the FST test, and three genomic regions on chromosomes 10, 14, and 15 using the hapFLK test to be under selection in cold and hot groups. Further exploration of these genomic regions revealed that most of these regions overlapped with genes previously identified to affect cold and heat stress, nervous system function, cell division and gene expression, skin growth and development, embryo and skeletal development, adaptation to hypoxia conditions, and the immune system. These regions overlapped with QTLs that had previously been identified as being associated with various important economic traits, such as body weight, skin color, and horn characteristics. The gene ontology and gene network analyses revealed significant pathways and networks that distinguished Iranian cold and hot climates sheep breeds from each other. We identified positively selected genomic regions in Iranian sheep associated with pathways related to cell division, biological processes, cellular responses to calcium ions, metal ions and inorganic substances. This study represents the initial effort to identify selective sweeps linked to temperature adaptation in Iranian indigenous sheep breeds. It may provide valuable insights into the genomic regions involved in climate adaptation in sheep.
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Affiliation(s)
- Zahra Patiabadi
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
| | - Mohammad Razmkabir
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
| | | | | | - Amir Rashidi
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
| | - Peyman Mahmoudi
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
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2
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Kuo WH, Zhong L, Wright SJ, Goad DM, Olsen KM. Beyond cyanogenesis: Temperature gradients drive environmental adaptation in North American white clover (Trifolium repens L.). Mol Ecol 2024:e17484. [PMID: 39072878 DOI: 10.1111/mec.17484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 07/15/2024] [Accepted: 07/18/2024] [Indexed: 07/30/2024]
Abstract
Species that repeatedly evolve phenotypic clines across environmental gradients have been highlighted as ideal systems for characterizing the genomic basis of local environmental adaptation. However, few studies have assessed the importance of observed phenotypic clines for local adaptation: conspicuous traits that vary clinally may not necessarily be the most critical in determining local fitness. The present study was designed to fill this gap, using a plant species characterized by repeatedly evolved adaptive phenotypic clines. White clover is naturally polymorphic for its chemical defence cyanogenesis (HCN release with tissue damage); climate-associated cyanogenesis clines have evolved throughout its native and introduced range worldwide. We performed landscape genomic analyses on 415 wild genotypes from 43 locations spanning much of the North American species range to assess the relative importance of cyanogenesis loci vs. other genomic factors in local climatic adaptation. We find clear evidence of local adaptation, with temperature-related climatic variables best describing genome-wide differentiation between sampling locations. The same climatic variables are also strongly correlated with cyanogenesis frequencies and gene copy number variations (CNVs) at cyanogenesis loci. However, landscape genomic analyses indicate no significant contribution of cyanogenesis loci to local adaptation. Instead, several genomic regions containing promising candidate genes for plant response to seasonal cues are identified - some of which are shared with previously identified QTLs for locally adaptive fitness traits in North American white clover. Our findings suggest that local adaptation in white clover is likely determined primarily by genes controlling the timing of growth and flowering in response to local seasonal cues. More generally, this work suggests that caution is warranted when considering the importance of conspicuous phenotypic clines as primary determinants of local adaptation.
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Affiliation(s)
- Wen-Hsi Kuo
- Department of Biology, Washington University, St. Louis, Missouri, USA
| | - Limei Zhong
- Jiangxi Key Laboratory of Molecular Biology and Gene Engineering, School of Life Sciences, Nanchang University, Nanchang, China
| | - Sara J Wright
- Department of Biology, Washington University, St. Louis, Missouri, USA
| | - David M Goad
- Department of Biology, Washington University, St. Louis, Missouri, USA
| | - Kenneth M Olsen
- Department of Biology, Washington University, St. Louis, Missouri, USA
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3
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Münzbergová Z, Šurinová M, Biscarini F, Níčová E. Genetic response of a perennial grass to warm and wet environments interacts and is associated with trait means as well as plasticity. J Evol Biol 2024; 37:704-716. [PMID: 38761114 DOI: 10.1093/jeb/voae060] [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: 06/29/2023] [Revised: 04/15/2024] [Accepted: 05/17/2024] [Indexed: 05/20/2024]
Abstract
The potential for rapid evolution is an important mechanism allowing species to adapt to changing climatic conditions. Although such potential has been largely studied in various short-lived organisms, to what extent we can observe similar patterns in long-lived plant species, which often dominate natural systems, is largely unexplored. We explored the potential for rapid evolution in Festuca rubra, a long-lived grass with extensive clonal growth dominating in alpine grasslands. We used a field sowing experiment simulating expected climate change in our model region. Specifically, we exposed seeds from five independent seed sources to novel climatic conditions by shifting them along a natural climatic grid and explored the genetic profiles of established seedlings after 3 years. Data on genetic profiles of plants selected under different novel conditions indicate that different climate shifts select significantly different pools of genotypes from common seed pools. Increasing soil moisture was more important than increasing temperature or the interaction of the two climatic factors in selecting pressure. This can indicate negative genetic interaction in response to the combined effects or that the effects of different climates are interactive rather than additive. The selected alleles were found in genomic regions, likely affecting the function of specific genes or their expression. Many of these were also linked to morphological traits (mainly to trait plasticity), suggesting these changes may have a consequence on plant performance. Overall, these data indicate that even long-lived plant species may experience strong selection by climate, and their populations thus have the potential to rapidly adapt to these novel conditions.
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Affiliation(s)
- Zuzana Münzbergová
- Department of Botany, Faculty of Science, Charles University, Benátská 2, Prague, Czech Republic
- Department of Population Ecology, Institute of Botany, Czech Academy of Sciences, Zámek 1, Průhonice, Czech Republic
| | - Maria Šurinová
- Department of Botany, Faculty of Science, Charles University, Benátská 2, Prague, Czech Republic
- Department of Population Ecology, Institute of Botany, Czech Academy of Sciences, Zámek 1, Průhonice, Czech Republic
| | - Filippo Biscarini
- Institute of Agricultural Biology and Biotechnology, National Research Council (IBBA-CNR), Milan, Italy
| | - Eva Níčová
- Department of Population Ecology, Institute of Botany, Czech Academy of Sciences, Zámek 1, Průhonice, Czech Republic
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4
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Neugart S, Steininger V, Fernandes C, Martínez-Abaigar J, Núñez-Olivera E, Schreiner M, Strid Å, Viczián A, Albert A, Badenes-Pérez FR, Castagna A, Dáder B, Fereres A, Gaberscik A, Gulyás Á, Gwynn-Jones D, Nagy F, Jones A, Julkunen-Tiitto R, Konstantinova N, Lakkala K, Llorens L, Martínez-Lüscher J, Nybakken L, Olsen J, Pascual I, Ranieri A, Regier N, Robson M, Rosenqvist E, Santin M, Turunen M, Vandenbussche F, Verdaguer D, Winkler B, Witzel K, Grifoni D, Zipoli G, Hideg É, Jansen MAK, Hauser MT. A synchronized, large-scale field experiment using Arabidopsis thaliana reveals the significance of the UV-B photoreceptor UVR8 under natural conditions. PLANT, CELL & ENVIRONMENT 2024. [PMID: 38881245 DOI: 10.1111/pce.15008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 06/03/2024] [Accepted: 06/06/2024] [Indexed: 06/18/2024]
Abstract
This study determines the functional role of the plant ultraviolet-B radiation (UV-B) photoreceptor, UV RESISTANCE LOCUS 8 (UVR8) under natural conditions using a large-scale 'synchronized-genetic-perturbation-field-experiment'. Laboratory experiments have demonstrated a role for UVR8 in UV-B responses but do not reflect the complexity of outdoor conditions where 'genotype × environment' interactions can mask laboratory-observed responses. Arabidopsis thaliana knockout mutant, uvr8-7, and the corresponding Wassilewskija wild type, were sown outdoors on the same date at 21 locations across Europe, ranging from 39°N to 67°N latitude. Growth and climatic data were monitored until bolting. At the onset of bolting, rosette size, dry weight, and phenolics and glucosinolates were quantified. The uvr8-7 mutant developed a larger rosette and contained less kaempferol glycosides, quercetin glycosides and hydroxycinnamic acid derivatives than the wild type across all locations, demonstrating a role for UVR8 under field conditions. UV effects on rosette size and kaempferol glycoside content were UVR8 dependent, but independent of latitude. In contrast, differences between wild type and uvr8-7 in total quercetin glycosides, and the quercetin-to-kaempferol ratio decreased with increasing latitude, that is, a more variable UV response. Thus, the large-scale synchronized approach applied demonstrates a location-dependent functional role of UVR8 under natural conditions.
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Affiliation(s)
- Susanne Neugart
- Division Quality and Sensory of Plant Products, Georg-August-Universität Göttingen, Göttingen, Germany
| | - Viktoria Steininger
- Department of Applied Genetics & Cell Biology, University of Natural Resources & Life Sciences, Vienna, Austria
| | - Catarina Fernandes
- Department of Applied Genetics & Cell Biology, University of Natural Resources & Life Sciences, Vienna, Austria
| | | | | | - Monika Schreiner
- Leibniz Institute of Vegetable and Ornamental Crops, Großbeeren, Germany
| | - Åke Strid
- Department of Natural Sciences, School of Science and Technology, Örebro University, Örebro, Sweden
| | - András Viczián
- Institute of Plant Biology, HUN-REN Biological Research Centre, Szeged, Hungary
| | - Andreas Albert
- Research Unit Environmental Simulation, Helmholtz Zentrum München, Neuherberg, Germany
| | | | - Antonella Castagna
- Department of Agriculture, Food and Environment, University of Pisa, Pisa, Italy
| | - Beatriz Dáder
- Department of Agricultural Production, ETSIAAB, Universidad Politécnica de Madrid, Madrid, Spain
| | - Alberto Fereres
- Institute of Agricultural Sciences, Spanish Council for Scientific Research, Madrid, Spain
| | - Alenka Gaberscik
- Department of Biology, University of Ljubljana, Ljubljana, Slovenia
| | - Ágnes Gulyás
- Department of Climatology and Landscape Ecology, University of Szeged, Szeged, Hungary
| | - Dylan Gwynn-Jones
- Department of Life Sciences, Aberystwyth University, Aberystwyth, UK
| | - Ferenc Nagy
- Institute of Plant Biology, HUN-REN Biological Research Centre, Szeged, Hungary
| | - Alan Jones
- Earthwatch Europe, Oxford, UK
- Scion, New Zealand Forest Research Institute, Rotorua, New Zealand
| | | | - Nataliia Konstantinova
- Department of Applied Genetics & Cell Biology, University of Natural Resources & Life Sciences, Vienna, Austria
| | - Kaisa Lakkala
- Finnish Meteorological Institute - Space and Earth Observation Centre, Sodankylä, Finland
| | - Laura Llorens
- Department of Environmental Sciences, University of Girona, Girona, Spain
| | - Johann Martínez-Lüscher
- Plant Stress Physiology group (Associated Unit to EEAD, CSIC), BIOMA Institute for Biodiversity and the Environment, University of Navarra, Pamplona, Spain
| | - Line Nybakken
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway
| | - Jorunn Olsen
- Department of Plant Sciences, Norwegian University of Life Sciences, Ås, Norway
| | - Inmaculada Pascual
- Plant Stress Physiology group (Associated Unit to EEAD, CSIC), BIOMA Institute for Biodiversity and the Environment, University of Navarra, Pamplona, Spain
| | - Annamaria Ranieri
- Department of Agriculture, Food and Environment, University of Pisa, Pisa, Italy
| | - Nicole Regier
- Earth and Environment Sciences, Forel Institute, Geneva University, Geneva, Switzerland
| | - Matthew Robson
- Organismal & Evolutionary Biology (OEB), Viikki Plant Science Centre (ViPS), Faculty of Biological & Environmental Sciences, University of Helsinki, Helsinki, Finland
- National School of Forestry, University of Cumbria, Ambleside, UK
| | - Eva Rosenqvist
- Institute of Plant and Environmental Sciences, Crop Science, University of Copenhagen, Tåstrup, Denmark
| | - Marco Santin
- Department of Agriculture, Food and Environment, University of Pisa, Pisa, Italy
| | - Minna Turunen
- Arctic Centre, University of Lapland, Rovaniemi, Finland
| | | | - Dolors Verdaguer
- Department of Environmental Sciences, University of Girona, Girona, Spain
| | - Barbro Winkler
- Research Unit Environmental Simulation, Helmholtz Zentrum München, Neuherberg, Germany
| | - Katja Witzel
- Leibniz Institute of Vegetable and Ornamental Crops, Großbeeren, Germany
| | - Daniele Grifoni
- National Research Council, Institute of Bioeconomy, Sesto Fiorentino, Italy
- Laboratory of Monitoring and Environmental Modelling for the Sustainable Development (LaMMA Consortium), Sesto Fiorentino, Italy
| | - Gaetano Zipoli
- National Research Council Institute for Biometeorology, Sesto Fiorentino, Italy
| | - Éva Hideg
- Department of Plant Biology, Faculty of Sciences, University of Pécs, Pécs, Hungary
| | - Marcel A K Jansen
- Environmental Research Institute, School of Biological, Earth, and Environmental Sciences, University College Cork, Cork, Ireland
| | - Marie-Theres Hauser
- Department of Applied Genetics & Cell Biology, University of Natural Resources & Life Sciences, Vienna, Austria
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5
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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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Ferrero-Serrano Á, Chakravorty D, Kirven KJ, Assmann SM. Oryza CLIMtools: A genome-environment association resource reveals adaptive roles for heterotrimeric G proteins in the regulation of rice agronomic traits. PLANT COMMUNICATIONS 2024; 5:100813. [PMID: 38213027 PMCID: PMC11009157 DOI: 10.1016/j.xplc.2024.100813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Revised: 10/12/2023] [Accepted: 01/05/2024] [Indexed: 01/13/2024]
Abstract
Modern crop varieties display a degree of mismatch between their current distributions and the suitability of the local climate for their productivity. To address this issue, we present Oryza CLIMtools (https://gramene.org/CLIMtools/oryza_v1.0/), the first resource for pan-genome prediction of climate-associated genetic variants in a crop species. Oryza CLIMtools consists of interactive web-based databases that enable the user to (1) explore the local environments of traditional rice varieties (landraces) in South-East Asia and (2) investigate the environment by genome associations for 658 Indica and 283 Japonica rice landrace accessions collected from georeferenced local environments and included in the 3K Rice Genomes Project. We demonstrate the value of these resources by identifying an interplay between flowering time and temperature in the local environment that is facilitated by adaptive natural variation in OsHD2 and disrupted by a natural variant in OsSOC1. Prior quantitative trait locus analysis has suggested the importance of heterotrimeric G proteins in the control of agronomic traits. Accordingly, we analyzed the climate associations of natural variants in the different heterotrimeric G protein subunits. We identified a coordinated role of G proteins in adaptation to the prevailing potential evapotranspiration gradient and revealed their regulation of key agronomic traits, including plant height and seed and panicle length. We conclude by highlighting the prospect of targeting heterotrimeric G proteins to produce climate-resilient crops.
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Affiliation(s)
- Ángel Ferrero-Serrano
- Biology Department, Pennsylvania State University, 208 Mueller Laboratory, University Park, PA 16802, USA.
| | - David Chakravorty
- Biology Department, Pennsylvania State University, 208 Mueller Laboratory, University Park, PA 16802, USA
| | - Kobie J Kirven
- Intercollege Graduate Degree Program in Bioinformatics and Genomics, Pennsylvania State University, 208 Mueller Laboratory, University Park, PA 16802, USA
| | - Sarah M Assmann
- Biology Department, Pennsylvania State University, 208 Mueller Laboratory, University Park, PA 16802, USA.
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7
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Yim C, Bellis ES, DeLeo VL, Gamba D, Muscarella R, Lasky JR. Climate biogeography of Arabidopsis thaliana: linking distribution models and individual variation. JOURNAL OF BIOGEOGRAPHY 2024; 51:560-574. [PMID: 38596256 PMCID: PMC11000247 DOI: 10.1111/jbi.14737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 09/19/2023] [Indexed: 04/11/2024]
Abstract
AIM Patterns of individual variation are key to testing hypotheses about the mechanisms underlying biogeographic patterns. If species distributions are determined by environmental constraints, then populations near range margins may have reduced performance and be adapted to harsher environments. Model organisms are potentially important systems for biogeographical studies, given the available range-wide natural history collections, and the importance of providing biogeographical context to their genetic and phenotypic diversity. LOCATION Global. TAXON Arabidopsis thaliana ("Arabidopsis"). METHODS We fit occurrence records to climate data, and then projected the distribution of Arabidopsis under last glacial maximum, current, and future climates. We confronted model predictions with individual performance measured on 2,194 herbarium specimens, and we asked whether predicted suitability was associated with life-history and genomic variation measured on ~900 natural accessions. RESULTS The most important climate variables constraining the Arabidopsis distribution were winter cold in northern and high elevation regions and summer heat in southern regions. Herbarium specimens from regions with lower habitat suitability in both northern and southern regions were smaller, supporting the hypothesis that the distribution of Arabidopsis is constrained by climate-associated factors. Climate anomalies partly explained interannual variation in herbarium specimen size, but these did not closely correspond to local limiting factors identified in the distribution model. Late-flowering genotypes were absent from the lowest suitability regions, suggesting slower life histories are only viable closer to the center of the realized niche. We identified glacial refugia farther north than previously recognized, as well as refugia concordant with previous population genetic findings. Lower latitude populations, known to be genetically distinct, are most threatened by future climate change. The recently colonized range of Arabidopsis was well-predicted by our native-range model applied to certain regions but not others, suggesting it has colonized novel climates. MAIN CONCLUSIONS Integration of distribution models with performance data from vast natural history collections is a route forward for testing biogeographical hypotheses about species distributions and their relationship with evolutionary fitness across large scales.
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Affiliation(s)
- Christina Yim
- Department of Biology, Pennsylvania State University, University Park, USA
| | - Emily S. Bellis
- Department of Biology, Pennsylvania State University, University Park, USA
- Department of Computer Science, Arkansas State University, Jonesboro, USA
| | - Victoria L. DeLeo
- Department of Biology, Pennsylvania State University, University Park, USA
| | - Diana Gamba
- Department of Biology, Pennsylvania State University, University Park, USA
| | - Robert Muscarella
- Plant Ecology and Evolution, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden
| | - Jesse R. Lasky
- Department of Biology, Pennsylvania State University, University Park, USA
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8
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Alruiz JM, Peralta-Maraver I, Cavieres G, Bozinovic F, Rezende EL. Fitness surfaces and local thermal adaptation in Drosophila along a latitudinal gradient. Ecol Lett 2024; 27:e14405. [PMID: 38623056 DOI: 10.1111/ele.14405] [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: 07/10/2023] [Revised: 03/01/2024] [Accepted: 03/03/2024] [Indexed: 04/17/2024]
Abstract
Local adaptation is commonly cited to explain species distribution, but how fitness varies along continuous geographical gradients is not well understood. Here, we combine thermal biology and life-history theory to demonstrate that Drosophila populations along a 2500 km latitudinal cline are adapted to local conditions. We measured how heat tolerance and viability rate across eight populations varied with temperature in the laboratory and then simulated their expected cumulative Darwinian fitness employing high-resolution temperature data from their eight collection sites. Simulations indicate a trade-off between annual survival and cumulative viability, as both mortality and the recruitment of new flies are predicted to increase in warmer regions. Importantly, populations are locally adapted and exhibit the optimal combination of both traits to maximize fitness where they live. In conclusion, our method is able to reconstruct fitness surfaces employing empirical life-history estimates and reconstructs peaks representing locally adapted populations, allowing us to study geographic adaptation in silico.
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Affiliation(s)
- José M Alruiz
- Departamento de Ecología, Facultad de Ciencias Biológicas, Center of Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Ignacio Peralta-Maraver
- Departamento de Ecología e Instituto del Agua, Universidad de Granada, Granada, Spain
- Research Unit Modeling Nature (MNat), Universidad de Granada, Granada, Spain
| | - Grisel Cavieres
- Departamento de Ecología, Facultad de Ciencias Biológicas, Center of Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Santiago, Chile
- Departamento de Zoología, Facultad de Ciencias Naturales y Oceanográficas, Universidad de Concepción, Concepción, Chile
| | - Francisco Bozinovic
- Departamento de Ecología, Facultad de Ciencias Biológicas, Center of Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Enrico L Rezende
- Departamento de Ecología, Facultad de Ciencias Biológicas, Center of Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Santiago, Chile
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9
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Folkertsma R, Charbonnel N, Henttonen H, Heroldová M, Huitu O, Kotlík P, Manzo E, Paijmans JLA, Plantard O, Sándor AD, Hofreiter M, Eccard JA. Genomic signatures of climate adaptation in bank voles. Ecol Evol 2024; 14:e10886. [PMID: 38455148 PMCID: PMC10918726 DOI: 10.1002/ece3.10886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 11/17/2023] [Accepted: 12/18/2023] [Indexed: 03/09/2024] Open
Abstract
Evidence for divergent selection and adaptive variation across the landscape can provide insight into a species' ability to adapt to different environments. However, despite recent advances in genomics, it remains difficult to detect the footprints of climate-mediated selection in natural populations. Here, we analysed ddRAD sequencing data (21,892 SNPs) in conjunction with geographic climate variation to search for signatures of adaptive differentiation in twelve populations of the bank vole (Clethrionomys glareolus) distributed across Europe. To identify the loci subject to selection associated with climate variation, we applied multiple genotype-environment association methods, two univariate and one multivariate, and controlled for the effect of population structure. In total, we identified 213 candidate loci for adaptation, 74 of which were located within genes. In particular, we identified signatures of selection in candidate genes with functions related to lipid metabolism and the immune system. Using the results of redundancy analysis, we demonstrated that population history and climate have joint effects on the genetic variation in the pan-European metapopulation. Furthermore, by examining only candidate loci, we found that annual mean temperature is an important factor shaping adaptive genetic variation in the bank vole. By combining landscape genomic approaches, our study sheds light on genome-wide adaptive differentiation and the spatial distribution of variants underlying adaptive variation influenced by local climate in bank voles.
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Affiliation(s)
- Remco Folkertsma
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, Faculty of ScienceUniversity of PotsdamPotsdamGermany
- Comparative Cognition Unit, Messerli Research InstituteUniversity of Veterinary Medicine ViennaViennaAustria
| | | | | | - Marta Heroldová
- Department of Forest Ecology, FFWTMendel University in BrnoBrnoCzech Republic
| | - Otso Huitu
- Natural Resources Institute FinlandHelsinkiFinland
| | - Petr Kotlík
- Laboratory of Molecular Ecology, Institute of Animal Physiology and GeneticsCzech Academy of SciencesLiběchovCzech Republic
| | - Emiliano Manzo
- Fondazione Ethoikos, Convento dell'OsservanzaRadicondoliItaly
| | - Johanna L. A. Paijmans
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, Faculty of ScienceUniversity of PotsdamPotsdamGermany
- Present address:
Evolutionary Ecology Group, Department of ZoologyUniversity of CambridgeCambridgeUK
| | | | - Attila D. Sándor
- HUN‐RENClimate Change: New Blood‐Sucking Parasites and Vector‐Borne Pathogens Research GroupBudapestHungary
- Department of Parasitology and ZoologyUniversity of Veterinary MedicineBudapestHungary
- Department of Parasitology and Parasitic DiseasesUniversity of Agricultural Sciences and Veterinary MedicineCluj‐NapocaRomania
| | - Michael Hofreiter
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, Faculty of ScienceUniversity of PotsdamPotsdamGermany
| | - Jana A. Eccard
- Animal Ecology, Institute for Biochemistry and Biology, Faculty of ScienceBerlin‐Brandenburg Institute for Biodiversity ResearchUniversity of PotsdamPotsdamGermany
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10
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Lee G, Sanderson BJ, Ellis TJ, Dilkes BP, McKay JK, Ågren J, Oakley CG. A large-effect fitness trade-off across environments is explained by a single mutation affecting cold acclimation. Proc Natl Acad Sci U S A 2024; 121:e2317461121. [PMID: 38289961 PMCID: PMC10861903 DOI: 10.1073/pnas.2317461121] [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: 10/10/2023] [Accepted: 12/26/2023] [Indexed: 02/01/2024] Open
Abstract
Identifying the genetic basis of local adaptation and fitness trade-offs across environments is a central goal of evolutionary biology. Cold acclimation is an adaptive plastic response for surviving seasonal freezing, and costs of acclimation may be a general mechanism for fitness trade-offs across environments in temperate zone species. Starting with locally adapted ecotypes of Arabidopsis thaliana from Italy and Sweden, we examined the fitness consequences of a naturally occurring functional polymorphism in CBF2. This gene encodes a transcription factor that is a major regulator of cold-acclimated freezing tolerance and resides within a locus responsible for a genetic trade-off for long-term mean fitness. We estimated the consequences of alternate genotypes of CBF2 on 5-y mean fitness and fitness components at the native field sites by comparing near-isogenic lines with alternate genotypes of CBF2 to their genetic background ecotypes. The effects of CBF2 were validated at the nucleotide level using gene-edited lines in the native genetic backgrounds grown in simulated parental environments. The foreign CBF2 genotype in the local genetic background reduced long-term mean fitness in Sweden by more than 10%, primarily via effects on survival. In Italy, fitness was reduced by more than 20%, primarily via effects on fecundity. At both sites, the effects were temporally variable and much stronger in some years. The gene-edited lines confirmed that CBF2 encodes the causal variant underlying this genetic trade-off. Additionally, we demonstrated a substantial fitness cost of cold acclimation, which has broad implications for potential maladaptive responses to climate change.
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Affiliation(s)
- Gwonjin Lee
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN47907
- Center for Plant Biology, Purdue University, West Lafayette, IN47907
| | - Brian J. Sanderson
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN47907
- Center for Plant Biology, Purdue University, West Lafayette, IN47907
| | - Thomas J. Ellis
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, UppsalaSE-752 36, Sweden
| | - Brian P. Dilkes
- Center for Plant Biology, Purdue University, West Lafayette, IN47907
- Department of Biochemistry, Purdue University, West Lafayette, IN47907
| | - John K. McKay
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO80523
| | - Jon Ågren
- Plant Ecology and Evolution, Department of Ecology and Genetics, Evolutionary Biology Centre, Uppsala University, UppsalaSE-752 36, Sweden
| | - Christopher G. Oakley
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN47907
- Center for Plant Biology, Purdue University, West Lafayette, IN47907
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11
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Booker TR, Yeaman S, Whiting JR, Whitlock MC. The WZA: A window-based method for characterizing genotype-environment associations. Mol Ecol Resour 2024; 24:e13768. [PMID: 36785926 DOI: 10.1111/1755-0998.13768] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 01/17/2023] [Accepted: 01/23/2023] [Indexed: 02/15/2023]
Abstract
Genotype-environment association (GEA) studies have the potential to identify the genetic basis of local adaptation in natural populations. Specifically, GEA approaches look for a correlation between allele frequencies and putatively selective features of the environment. Genetic markers with extreme evidence of correlation with the environment are presumed to be tagging the location of alleles that contribute to local adaptation. In this study, we propose a new method for GEA studies called the Weighted-Z Analysis (WZA) that combines information from closely linked sites into analysis windows in a way that was inspired by methods for calculating FST . Performing GEA methods in analysis windows has the advantage that it takes advantage of the increased linkage disequilibrium expected surrounding sites subject to local adaptation. We analyse simulations modelling local adaptation to heterogeneous environments to compare the WZA with existing methods. In the majority of cases we tested, the WZA either outperformed single-SNP (single nucleotide polymorphism)-based approaches or performed similarly. In particular, the WZA outperformed individual SNP approaches when a small number of individuals or demes were sampled. Particularly troubling, we found that some GEA methods exhibit very high false positive rates. We applied the WZA to previously published data from lodgepole pine and identified candidate loci that were identified in the original study alongside numerous loci that were not found in the original study.
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Affiliation(s)
- Tom R Booker
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada
- Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada
- Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sam Yeaman
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada
| | - James R Whiting
- Department of Biological Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Michael C Whitlock
- Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada
- Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
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12
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Pettie KP, Mumbach M, Lea AJ, Ayroles J, Chang HY, Kasowski M, Fraser HB. Chromatin activity identifies differential gene regulation across human ancestries. Genome Biol 2024; 25:21. [PMID: 38225662 PMCID: PMC10789071 DOI: 10.1186/s13059-024-03165-2] [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: 11/11/2022] [Accepted: 01/04/2024] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND Current evidence suggests that cis-regulatory elements controlling gene expression may be the predominant target of natural selection in humans and other species. Detecting selection acting on these elements is critical to understanding evolution but remains challenging because we do not know which mutations will affect gene regulation. RESULTS To address this, we devise an approach to search for lineage-specific selection on three critical steps in transcriptional regulation: chromatin activity, transcription factor binding, and chromosomal looping. Applying this approach to lymphoblastoid cells from 831 individuals of either European or African descent, we find strong signals of differential chromatin activity linked to gene expression differences between ancestries in numerous contexts, but no evidence of functional differences in chromosomal looping. Moreover, we show that enhancers rather than promoters display the strongest signs of selection associated with sites of differential transcription factor binding. CONCLUSIONS Overall, our study indicates that some cis-regulatory adaptation may be more easily detected at the level of chromatin than DNA sequence. This work provides a vast resource of genomic interaction data from diverse human populations and establishes a novel selection test that will benefit future study of regulatory evolution in humans and other species.
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Affiliation(s)
- Kade P Pettie
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Maxwell Mumbach
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Amanda J Lea
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
| | - Julien Ayroles
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Maya Kasowski
- Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Hunter B Fraser
- Department of Biology, Stanford University, Stanford, CA, USA.
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13
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Lovell RSL, Collins S, Martin SH, Pigot AL, Phillimore AB. Space-for-time substitutions in climate change ecology and evolution. Biol Rev Camb Philos Soc 2023; 98:2243-2270. [PMID: 37558208 DOI: 10.1111/brv.13004] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 08/11/2023]
Abstract
In an epoch of rapid environmental change, understanding and predicting how biodiversity will respond to a changing climate is an urgent challenge. Since we seldom have sufficient long-term biological data to use the past to anticipate the future, spatial climate-biotic relationships are often used as a proxy for predicting biotic responses to climate change over time. These 'space-for-time substitutions' (SFTS) have become near ubiquitous in global change biology, but with different subfields largely developing methods in isolation. We review how climate-focussed SFTS are used in four subfields of ecology and evolution, each focussed on a different type of biotic variable - population phenotypes, population genotypes, species' distributions, and ecological communities. We then examine the similarities and differences between subfields in terms of methods, limitations and opportunities. While SFTS are used for a wide range of applications, two main approaches are applied across the four subfields: spatial in situ gradient methods and transplant experiments. We find that SFTS methods share common limitations relating to (i) the causality of identified spatial climate-biotic relationships and (ii) the transferability of these relationships, i.e. whether climate-biotic relationships observed over space are equivalent to those occurring over time. Moreover, despite widespread application of SFTS in climate change research, key assumptions remain largely untested. We highlight opportunities to enhance the robustness of SFTS by addressing key assumptions and limitations, with a particular emphasis on where approaches could be shared between the four subfields.
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Affiliation(s)
- Rebecca S L Lovell
- Ashworth Laboratories, Institute of Ecology and Evolution, The University of Edinburgh, Charlotte Auerbach Road, Edinburgh, EH9 3FL, UK
| | - Sinead Collins
- Ashworth Laboratories, Institute of Ecology and Evolution, The University of Edinburgh, Charlotte Auerbach Road, Edinburgh, EH9 3FL, UK
| | - Simon H Martin
- Ashworth Laboratories, Institute of Ecology and Evolution, The University of Edinburgh, Charlotte Auerbach Road, Edinburgh, EH9 3FL, UK
| | - Alex L Pigot
- Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, Gower Street, London, WC1E 6BT, UK
| | - Albert B Phillimore
- Ashworth Laboratories, Institute of Ecology and Evolution, The University of Edinburgh, Charlotte Auerbach Road, Edinburgh, EH9 3FL, UK
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14
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Marková S, Lanier HC, Escalante MA, da Cruz MOR, Horníková M, Konczal M, Weider LJ, Searle JB, Kotlík P. Local adaptation and future climate vulnerability in a wild rodent. Nat Commun 2023; 14:7840. [PMID: 38030627 PMCID: PMC10686993 DOI: 10.1038/s41467-023-43383-z] [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: 06/02/2023] [Accepted: 11/08/2023] [Indexed: 12/01/2023] Open
Abstract
As climate change continues, species pushed outside their physiological tolerance limits must adapt or face extinction. When change is rapid, adaptation will largely harness ancestral variation, making the availability and characteristics of that variation of critical importance. Here, we used whole-genome sequencing and genetic-environment association analyses to identify adaptive variation and its significance in the context of future climates in a small Palearctic mammal, the bank vole (Clethrionomys glareolus). We found that peripheral populations of bank vole in Britain are already at the extreme bounds of potential genetic adaptation and may require an influx of adaptive variation in order to respond. Analyses of adaptive loci suggest regional differences in climate variables select for variants that influence patterns of population adaptive resilience, including genes associated with antioxidant defense, and support a pattern of thermal/hypoxic cross-adaptation. Our findings indicate that understanding potential shifts in genomic composition in response to climate change may be key to predicting species' fate under future climates.
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Affiliation(s)
- Silvia Marková
- Laboratory of Molecular Ecology, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Rumburská 89, 277 21, Liběchov, Czech Republic
| | - Hayley C Lanier
- School of Biological Sciences, University of Oklahoma, 730 Van Vleet Oval, Norman, OK, 73019, USA
- Sam Noble Museum, University of Oklahoma, 2401 Chautauqua Ave, Norman, OK, 73072, USA
| | - Marco A Escalante
- Laboratory of Molecular Ecology, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Rumburská 89, 277 21, Liběchov, Czech Republic
| | - Marcos O R da Cruz
- School of Biological Sciences, University of Oklahoma, 730 Van Vleet Oval, Norman, OK, 73019, USA
- Sam Noble Museum, University of Oklahoma, 2401 Chautauqua Ave, Norman, OK, 73072, USA
| | - Michaela Horníková
- Laboratory of Molecular Ecology, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Rumburská 89, 277 21, Liběchov, Czech Republic
| | - Mateusz Konczal
- Faculty of Biology, Evolutionary Biology Group, Adam Mickiewicz University, Poznań, Poland
| | - Lawrence J Weider
- School of Biological Sciences, University of Oklahoma, 730 Van Vleet Oval, Norman, OK, 73019, USA
| | - Jeremy B Searle
- Department of Ecology and Evolutionary Biology, Corson Hall, Cornell University, Ithaca, NY, 14853, USA
| | - Petr Kotlík
- Laboratory of Molecular Ecology, Institute of Animal Physiology and Genetics of the Czech Academy of Sciences, Rumburská 89, 277 21, Liběchov, Czech Republic.
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15
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Ramírez-Sánchez D, Gibelin-Viala C, Roux F, Vailleau F. Genetic architecture of the response of Arabidopsis thaliana to a native plant-growth-promoting bacterial strain. FRONTIERS IN PLANT SCIENCE 2023; 14:1266032. [PMID: 38023938 PMCID: PMC10665851 DOI: 10.3389/fpls.2023.1266032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023]
Abstract
By improving plant nutrition and alleviating abiotic and biotic stresses, plant growth-promoting bacteria (PGPB) can help to develop eco-friendly and sustainable agricultural practices. Besides climatic conditions, soil conditions, and microbe-microbe interactions, the host genotype influences the effectiveness of PGPB. Yet, most GWAS conducted to characterize the genetic architecture of response to PGPB are based on non-native interactions between a host plant and PGPB strains isolated from the belowground compartment of other plants. In this study, a GWAS was set up under in vitro conditions to describe the genetic architecture of the response of Arabidopsis thaliana to the PGPB Pseudomonas siliginis, by inoculating seeds of 162 natural accessions from the southwest of France with one strain isolated from the leaf compartment in the same geographical region. Strong genetic variation of plant growth response to this native PGPB was observed at a regional scale, with the strain having a positive effect on the vegetative growth of small plants and a negative effect on the vegetative growth of large plants. The polygenic genetic architecture underlying this negative trade-off showed suggestive signatures of local adaptation. The main eco-evolutionary relevant candidate genes are involved in seed and root development.
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16
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Montazeaud G, Helleu Q, Wuest SE, Keller L. Indirect genetic effects are shaped by demographic history and ecology in Arabidopsis thaliana. Nat Ecol Evol 2023; 7:1878-1891. [PMID: 37749402 DOI: 10.1038/s41559-023-02189-4] [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: 01/03/2023] [Accepted: 08/07/2023] [Indexed: 09/27/2023]
Abstract
The phenotype of an individual can be affected by the genes of its conspecifics through indirect genetic effects (IGEs). IGEs have been studied across different organisms including wild and domesticated animals and plants, but little is known about their genetic architecture. Here, in a large-scale intraspecific interaction experiment, we show that the contribution of IGEs to the biomass variation of Arabidopsis thaliana is comparable to values classically reported in animals. Moreover, we identify 11 loci explaining 85.1% of the variability in IGEs. We find that positive IGE alleles (that is, those with positive effects on neighbour biomass) occur both in relict accessions from southern Eurasia and in post-glacial colonizers from northern Scandinavia, and that they are likely to have two divergent origins: for nine loci, they evolved in the post-glacial colonizers independently from the relicts, while the two others were introgressed in the post-glacial colonizer from the relicts. Finally, we find that variation in IGEs probably reflects divergent adaptations to the contrasting environments of the edges and the centre of the native range of the species. These findings reveal a surprisingly tractable genetic basis of IGEs in A. thaliana that is shaped by the ecology and the demographic history of the species.
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Affiliation(s)
- Germain Montazeaud
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
| | - Quentin Helleu
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
- Structure et Instabilité des Génomes, Muséum National d'Histoire Naturelle, CNRS UMR7196, INSERM U1154, Paris, France
| | - Samuel E Wuest
- Group Breeding Research, Division Plant Breeding, Agroscope, Wädenswil, Switzerland
| | - Laurent Keller
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
- Social Evolution Unit, Chesières, Switzerland.
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17
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Gao L, Kantar MB, Moxley D, Ortiz-Barrientos D, Rieseberg LH. Crop adaptation to climate change: An evolutionary perspective. MOLECULAR PLANT 2023; 16:1518-1546. [PMID: 37515323 DOI: 10.1016/j.molp.2023.07.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/20/2023] [Accepted: 07/26/2023] [Indexed: 07/30/2023]
Abstract
The disciplines of evolutionary biology and plant and animal breeding have been intertwined throughout their development, with responses to artificial selection yielding insights into the action of natural selection and evolutionary biology providing statistical and conceptual guidance for modern breeding. Here we offer an evolutionary perspective on a grand challenge of the 21st century: feeding humanity in the face of climate change. We first highlight promising strategies currently under way to adapt crops to current and future climate change. These include methods to match crop varieties with current and predicted environments and to optimize breeding goals, management practices, and crop microbiomes to enhance yield and sustainable production. We also describe the promise of crop wild relatives and recent technological innovations such as speed breeding, genomic selection, and genome editing for improving environmental resilience of existing crop varieties or for developing new crops. Next, we discuss how methods and theory from evolutionary biology can enhance these existing strategies and suggest novel approaches. We focus initially on methods for reconstructing the evolutionary history of crops and their pests and symbionts, because such historical information provides an overall framework for crop-improvement efforts. We then describe how evolutionary approaches can be used to detect and mitigate the accumulation of deleterious mutations in crop genomes, identify alleles and mutations that underlie adaptation (and maladaptation) to agricultural environments, mitigate evolutionary trade-offs, and improve critical proteins. Continuing feedback between the evolution and crop biology communities will ensure optimal design of strategies for adapting crops to climate change.
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Affiliation(s)
- Lexuan Gao
- CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China
| | - Michael B Kantar
- Department of Tropical Plant & Soil Sciences, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Dylan Moxley
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Daniel Ortiz-Barrientos
- School of Biological Sciences and Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, The University of Queensland, Brisbane, QLD, Australia
| | - Loren H Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada.
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18
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Shu M, Moran EV. Identifying genetic variation associated with environmental gradients and drought-tolerance phenotypes in ponderosa pine. Ecol Evol 2023; 13:e10620. [PMID: 37841219 PMCID: PMC10576020 DOI: 10.1002/ece3.10620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 09/05/2023] [Accepted: 10/04/2023] [Indexed: 10/17/2023] Open
Abstract
As climate changes, understanding the genetic basis of local adaptation in plants becomes an ever more pressing issue. Combining genotype-environment association (GEA) with genotype-phenotype association (GPA) analysis has an exciting potential to uncover the genetic basis of environmental responses. We use these approaches to identify genetic variants linked to local adaptation to drought in Pinus ponderosa. Over 4 million Single Nucleotide Polymorphisms (SNPs) were identified using 223 individuals from across the Sierra Nevada of California. 927,740 (22.3%) SNPs were retained after filtering for proximity to genes and used in our association analyses. We found 1374 associated with five major climate variables, with the largest number (1151) associated with April 1st snowpack. We also conducted a greenhouse study with various drought-tolerance traits measured in first-year seedlings of a subset of the genotyped trees grown in the greenhouse. 796 SNPs were associated with control-condition trait values, while 1149 were associated with responsiveness of these traits to drought. While no individual SNPs were associated with both the environmental variables and the measured traits, several annotated genes were associated with both, particularly those involved in cell wall formation, biotic and abiotic stress responses, and ubiquitination. However, the functions of many of the associated genes have not yet been determined due to the lack of gene annotation information for conifers. Future studies are needed to assess the developmental roles and ecological significance of these unknown genes.
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Affiliation(s)
- Mengjun Shu
- Life and Environmental SciencesUniversity of CaliforniaMercedCaliforniaUSA
| | - Emily V. Moran
- Life and Environmental SciencesUniversity of CaliforniaMercedCaliforniaUSA
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19
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Lin YP, Lu CY, Lee CR. The Past Contribution and Future Fate of Genetic Variants under Climate Change in an Island Population of Musa itinerans. Am Nat 2023; 202:558-570. [PMID: 37792919 DOI: 10.1086/726015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
AbstractGenetic variation within species is crucial for sessile species to adapt to novel environments when facing dramatic climate changes. However, the debate continues whether standing ancestral variation adaptive to current environmental variability is sufficient to guarantee future suitability. Using wild banana Musa itinerans, we investigated the relative contribution of standing ancestral variation versus new mutations to environmental adaptation and inferred their future fate. On the continental island of Taiwan, local populations immigrated from the Southeast Asian continent during the ice age and have been isolated since then. This allows the classification of genetic variants into standing ancestral variation (polymorphic in Taiwan and the continent) and new mutations (polymorphic only in Taiwan). For temperature-related variables where Taiwan is mainly within the ancestral climatic range, standing ancestral variation had a slightly stronger association than new mutations. New mutations were more important for precipitation-related variables, where northeastern Taiwan had much more winter rainfall than most of continental Southeast Asia. Upon future climate change, new mutations showed higher genetic offset in regions of abrupt transition between allele frequency and local environments, suggesting their greater spatial heterogeneity of future vulnerability.
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20
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Li Z, Gao Y, Yan J, Wang S, Wang S, Liu Y, Wang S, Hua J. Golgi-localized MORN1 promotes lipid droplet abundance and enhances tolerance to multiple stresses in Arabidopsis. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023; 65:1890-1903. [PMID: 37097077 DOI: 10.1111/jipb.13498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 04/24/2023] [Indexed: 05/03/2023]
Abstract
Lipid droplet (LD) in vegetative tissues has recently been implicated in environmental responses in plants, but its regulation and its function in stress tolerance are not well understood. Here, we identified a Membrane Occupation and Recognition Nexus 1 (MORN1) gene as a contributor to natural variations of stress tolerance through genome-wide association study in Arabidopsis thaliana. Characterization of its loss-of-function mutant and natural variants revealed that the MORN1 gene is a positive regulator of plant growth, disease resistance, cold tolerance, and heat tolerance. The MORN1 protein is associated with the Golgi and is also partly associated with LD. Protein truncations that disrupt these associations abolished the biological function of the MORN1 protein. Furthermore, the MORN1 gene is a positive regulator of LD abundance, and its role in LD number regulation and stress tolerance is highly linked. Therefore, this study identifies MORN1 as a positive regulator of LD abundance and a contributor to natural variations of stress tolerance. It implicates a potential involvement of Golgi in LD biogenesis and strongly suggests a contribution of LD to diverse processes of plant growth and stress responses.
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Affiliation(s)
- Zhan Li
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510640, China
- School of Integrative Plant Science, Plant Biology Section, Cornell University, Ithaca, NY, 14853, USA
| | - Yue Gao
- School of Integrative Plant Science, Plant Biology Section, Cornell University, Ithaca, NY, 14853, USA
| | - Jiapei Yan
- School of Integrative Plant Science, Plant Biology Section, Cornell University, Ithaca, NY, 14853, USA
| | - Shuai Wang
- School of Integrative Plant Science, Plant Biology Section, Cornell University, Ithaca, NY, 14853, USA
| | - Shu Wang
- School of Integrative Plant Science, Plant Biology Section, Cornell University, Ithaca, NY, 14853, USA
| | - Yuanyuan Liu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510640, China
| | - Shaokui Wang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510640, China
| | - Jian Hua
- School of Integrative Plant Science, Plant Biology Section, Cornell University, Ithaca, NY, 14853, USA
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21
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Yang Z, Ma W, Wang L, Yang X, Zhao T, Liang L, Wang G, Ma Q. Population genomics reveals demographic history and selection signatures of hazelnut ( Corylus). HORTICULTURE RESEARCH 2023; 10:uhad065. [PMID: 37249951 PMCID: PMC10208898 DOI: 10.1093/hr/uhad065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/02/2023] [Indexed: 05/31/2023]
Abstract
Hazelnut (Corylus spp.) is known as one of the four famous tree nuts in the world due to its pleasant taste and nutritional benefits. However, hazelnut promotion worldwide is increasingly challenged by global climate change, limiting its production to a few regions. Focusing on the eurytopic Section Phyllochlamys, we conducted whole-genome resequencing of 125 diverse accessions from five geo-ecological zones in Eurasia to elucidate the genomic basis of adaptation and improvement. Population structure inference outlined five distinct genetic lineages corresponding to climate conditions and breeding background, and highlighted the differentiation between European and Asian lineages. Demographic dynamics and ecological niche modeling revealed that Pleistocene climatic oscillations dominantly shaped the extant genetic patterns, and multiple environmental factors have contributed to the lineage divergence. Whole-genome scans identified 279, 111, and 164 selective sweeps that underlie local adaptation in Corylus heterophylla, Corylus kweichowensis, and Corylus yunnanensis, respectively. Relevant positively selected genes were mainly involved in regulating signaling pathways, growth and development, and stress resistance. The improvement signatures of hybrid hazelnut were concentrated in 312 and 316 selected genes, when compared to C. heterophylla and Corylus avellana, respectively, including those that regulate protein polymerization, photosynthesis, and response to water deprivation. Among these loci, 22 candidate genes were highly associated with the regulation of biological quality. Our study provides insights into evolutionary processes and the molecular basis of how sibling species adapt to contrasting environments, and offers valuable resources for future climate-resilient breeding.
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Affiliation(s)
- Zhen Yang
- Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Wenxu Ma
- Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Forest Botany and Tree Physiology, University of Goettingen, Goettingen, 37077, Germany
| | - Lujun Wang
- Research Institute of Economic Forest Cultivation and Processing, Anhui Academy of Forestry, Hefei, 230031, China
| | - Xiaohong Yang
- Research Institute of Walnut, Guizhou Academy of Forestry, Guiyang, 550005, China
| | - Tiantian Zhao
- Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Lisong Liang
- Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Guixi Wang
- Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
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22
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Schmidt SB, Brown LK, Booth A, Wishart J, Hedley PE, Martin P, Husted S, George TS, Russell J. Heritage genetics for adaptation to marginal soils in barley. TRENDS IN PLANT SCIENCE 2023; 28:544-551. [PMID: 36858842 DOI: 10.1016/j.tplants.2023.01.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 01/17/2023] [Accepted: 01/23/2023] [Indexed: 05/22/2023]
Abstract
Future crops need to be sustainable in the face of climate change. Modern barley varieties have been bred for high productivity and quality; however, they have suffered considerable genetic erosion, losing crucial genetic diversity. This renders modern cultivars vulnerable to climate change and stressful environments. We highlight the potential to tailor crops to a specific environment by utilising diversity inherent in an adapted landrace population. Tapping into natural biodiversity, while incorporating information about local environmental and climatic conditions, allows targeting of key traits and genotypes, enabling crop production in marginal soils. We outline future directions for the utilisation of genetic resources maintained in landrace collections to support sustainable agriculture through germplasm development via the use of genomics technologies and big data.
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Affiliation(s)
- Sidsel Birkelund Schmidt
- The James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK; Innovation Centre for Organic Farming, Agro Food Park 26, 8200 Aarhus N., Denmark
| | - Lawrie K Brown
- The James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK
| | - Allan Booth
- The James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK
| | - John Wishart
- Agronomy Institute, Orkney College, University of the Highlands and Islands, Orkney, UK
| | - Pete E Hedley
- The James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK
| | - Peter Martin
- Agronomy Institute, Orkney College, University of the Highlands and Islands, Orkney, UK
| | - Søren Husted
- Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Thorvaldsensvej 40, 1879 Frederiksberg C., Denmark
| | | | - Joanne Russell
- The James Hutton Institute, Invergowrie, Dundee DD2 5DA, UK.
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23
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Germain RR, Feng S, Chen G, Graves GR, Tobias JA, Rahbek C, Lei F, Fjeldså J, Hosner PA, Gilbert MTP, Zhang G, Nogués-Bravo D. Species-specific traits mediate avian demographic responses under past climate change. Nat Ecol Evol 2023:10.1038/s41559-023-02055-3. [PMID: 37106156 DOI: 10.1038/s41559-023-02055-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 03/30/2023] [Indexed: 04/29/2023]
Abstract
Anticipating species' responses to environmental change is a pressing mission in biodiversity conservation. Despite decades of research investigating how climate change may affect population sizes, historical context is lacking, and the traits that mediate demographic sensitivity to changing climate remain elusive. We use whole-genome sequence data to reconstruct the demographic histories of 263 bird species over the past million years and identify networks of interacting morphological and life history traits associated with changes in effective population size (Ne) in response to climate warming and cooling. Our results identify direct and indirect effects of key traits representing dispersal, reproduction and survival on long-term demographic responses to climate change, thereby highlighting traits most likely to influence population responses to ongoing climate warming.
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Affiliation(s)
- Ryan R Germain
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark.
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Shaohong Feng
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Department of General Surgery of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Hangzhou, China
| | - Guangji Chen
- BGI Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Gary R Graves
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Joseph A Tobias
- Department of Life Sciences, Imperial College London, Ascot, UK
| | - Carsten Rahbek
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Life Sciences, Imperial College London, Ascot, UK
- Center for Global Mountain Biodiversity, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jon Fjeldså
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Peter A Hosner
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Global Mountain Biodiversity, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Natural History, University Museum, Norwegian University of Science and Technology, Trondheim, Norway
| | - Guojie Zhang
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China.
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China.
- Innovation Center of Yangtze River Delta, Zhejiang University, Hangzhou, China.
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
| | - David Nogués-Bravo
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark.
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24
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Putra AR, Yen JDL, Fournier-Level A. Forecasting trait responses in novel environments to aid seed provenancing under climate change. Mol Ecol Resour 2023; 23:565-580. [PMID: 36308465 DOI: 10.1111/1755-0998.13728] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 10/23/2022] [Accepted: 10/27/2022] [Indexed: 11/28/2022]
Abstract
Revegetation projects face the major challenge of sourcing optimal plant material. This is often done with limited information about plant performance and increasingly requires factoring resilience to climate change. Functional traits can be used as quantitative indices of plant performance and guide seed provenancing, but trait values expected under novel conditions are often unknown. To support climate-resilient provenancing efforts, we develop a trait prediction model that integrates the effect of genetic variation with fine-scale temperature variation. We train our model on multiple field plantings of Arabidopsis thaliana and predict two relevant fitness traits-days-to-bolting and fecundity-across the species' European range. Prediction accuracy was high for days-to-bolting and moderate for fecundity, with the majority of trait variation explained by temperature differences between plantings. Projection under future climate predicted a decline in fecundity, although this response was heterogeneous across the range. In response, we identified novel genotypes that could be introduced to genetically offset the fitness decay. Our study highlights the value of predictive models to aid seed provenancing and improve the success of revegetation projects.
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Affiliation(s)
- Andhika R Putra
- School of BioSciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Jian D L Yen
- Arthur Rylah Institute for Environmental Research, Heidelberg, Victoria, Australia
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25
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Choquette NE, Holland JB, Weldekidan T, Drouault J, de Leon N, Flint-Garcia S, Lauter N, Murray SC, Xu W, Wisser RJ. Environment-specific selection alters flowering-time plasticity and results in pervasive pleiotropic responses in maize. THE NEW PHYTOLOGIST 2023; 238:737-749. [PMID: 36683443 DOI: 10.1111/nph.18769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 12/06/2022] [Indexed: 06/17/2023]
Abstract
Crop genetic diversity for climate adaptations is globally partitioned. We performed experimental evolution in maize to understand the response to selection and how plant germplasm can be moved across geographical zones. Initialized with a common population of tropical origin, artificial selection on flowering time was performed for two generations at eight field sites spanning 25° latitude, a 2800 km transect. We then jointly tested all selection lineages across the original sites of selection, for the target trait and 23 other traits. Modeling intergenerational shifts in a physiological reaction norm revealed separate components for flowering-time plasticity. Generalized and local modes of selection altered the plasticity of each lineage, leading to a latitudinal pattern in the responses to selection that were strongly driven by photoperiod. This transformation led to widespread changes in developmental, architectural, and yield traits, expressed collectively in an environment-dependent manner. Furthermore, selection for flowering time alone alleviated a maladaptive syndrome and improved yields for tropical maize in the temperate zone. Our findings show how phenotypic selection can rapidly shift the flowering phenology and plasticity of maize. They also demonstrate that selecting crops to local conditions can accelerate adaptation to climate change.
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Affiliation(s)
- Nicole E Choquette
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, 27695, USA
| | - James B Holland
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, 27695, USA
- USDA-ARS Plant Science Research Unit, Raleigh, NC, 27695, USA
| | | | - Justine Drouault
- Laboratoire d'Ecophysiologie des Plantes sous Stress Environmentaux, INRAE, University of Montpellier, L'Institut Agro, Montpellier, 34000, France
| | - Natalia de Leon
- Deptartment of Agronomy, University of Wisconsin, Madison, WI, 53706, USA
| | | | - Nick Lauter
- USDA-ARS Corn Insects and Crop Genetics Research Unit, Ames, IA, 50011, USA
| | - Seth C Murray
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Wenwei Xu
- Agricultural Research and Extension Center, Texas A&M AgriLife Research, Lubbock, TX, 79403, USA
| | - Randall J Wisser
- Deptartment of Plant and Soil Sciences, University of Delaware, Newark, DE, 19716, USA
- Laboratoire d'Ecophysiologie des Plantes sous Stress Environmentaux, INRAE, University of Montpellier, L'Institut Agro, Montpellier, 34000, France
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26
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Hu Y, Wang X, Xu Y, Yang H, Tong Z, Tian R, Xu S, Yu L, Guo Y, Shi P, Huang S, Yang G, Shi S, Wei F. Molecular mechanisms of adaptive evolution in wild animals and plants. SCIENCE CHINA. LIFE SCIENCES 2023; 66:453-495. [PMID: 36648611 PMCID: PMC9843154 DOI: 10.1007/s11427-022-2233-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 08/30/2022] [Indexed: 01/18/2023]
Abstract
Wild animals and plants have developed a variety of adaptive traits driven by adaptive evolution, an important strategy for species survival and persistence. Uncovering the molecular mechanisms of adaptive evolution is the key to understanding species diversification, phenotypic convergence, and inter-species interaction. As the genome sequences of more and more non-model organisms are becoming available, the focus of studies on molecular mechanisms of adaptive evolution has shifted from the candidate gene method to genetic mapping based on genome-wide scanning. In this study, we reviewed the latest research advances in wild animals and plants, focusing on adaptive traits, convergent evolution, and coevolution. Firstly, we focused on the adaptive evolution of morphological, behavioral, and physiological traits. Secondly, we reviewed the phenotypic convergences of life history traits and responding to environmental pressures, and the underlying molecular convergence mechanisms. Thirdly, we summarized the advances of coevolution, including the four main types: mutualism, parasitism, predation and competition. Overall, these latest advances greatly increase our understanding of the underlying molecular mechanisms for diverse adaptive traits and species interaction, demonstrating that the development of evolutionary biology has been greatly accelerated by multi-omics technologies. Finally, we highlighted the emerging trends and future prospects around the above three aspects of adaptive evolution.
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Affiliation(s)
- Yibo Hu
- CAS Key Lab of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Xiaoping Wang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China
| | - Yongchao Xu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Hui Yang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
| | - Zeyu Tong
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China
| | - Ran Tian
- College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China
| | - Shaohua Xu
- State Key Laboratory of Biocontrol, Guangdong Key Lab of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, 650091, China.
| | - Yalong Guo
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
| | - Peng Shi
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China.
| | - Shuangquan Huang
- Institute of Evolution and Ecology, School of Life Sciences, Central China Normal University, Wuhan, 430079, China.
| | - Guang Yang
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
- College of Life Sciences, Nanjing Normal University, Nanjing, 210023, China.
| | - Suhua Shi
- State Key Laboratory of Biocontrol, Guangdong Key Lab of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.
| | - Fuwen Wei
- CAS Key Lab of Animal Ecology and Conservation Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China.
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27
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Johnson SE, Tittes S, Franks SJ. Rapid, nonparallel genomic evolution of Brassica rapa (field mustard) under experimental drought. J Evol Biol 2023; 36:550-562. [PMID: 36721268 DOI: 10.1111/jeb.14152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 09/22/2022] [Accepted: 12/08/2022] [Indexed: 02/02/2023]
Abstract
While we know that climate change can potentially cause rapid phenotypic evolution, our understanding of the genetic basis and degree of genetic parallelism of rapid evolutionary responses to climate change is limited. In this study, we combined the resurrection approach with an evolve-and-resequence design to examine genome-wide evolutionary changes following drought. We exposed genetically similar replicate populations of the annual plant Brassica rapa derived from a field population in southern California to four generations of experimental drought or watered conditions in a greenhouse. Genome-wide sequencing of ancestral and descendant population pools identified hundreds of SNPs that showed evidence of rapidly evolving in response to drought. Several of these were in stress response genes, and two were identified in a prior study of drought response in this species. However, almost all genetic changes were unique among experimental populations, indicating that the evolutionary changes were largely nonparallel, despite the fact that genetically similar replicates of the same founder population had experienced controlled and consistent selection regimes. This nonparallelism of evolution at the genetic level is potentially because of polygenetic adaptation allowing for multiple different genetic routes to similar phenotypic outcomes. Our findings help to elucidate the relationship between rapid phenotypic and genomic evolution and shed light on the degree of parallelism and predictability of genomic evolution to environmental change.
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Affiliation(s)
- Stephen E Johnson
- Department of Biological Sciences and Louis Calder Center, Fordham University, Bronx, New York, USA
| | - Silas Tittes
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA
| | - Steven J Franks
- Department of Biological Sciences and Louis Calder Center, Fordham University, Bronx, New York, USA
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28
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Sahoo DK, Hegde C, Bhattacharyya MK. Identification of multiple novel genetic mechanisms that regulate chilling tolerance in Arabidopsis. FRONTIERS IN PLANT SCIENCE 2023; 13:1094462. [PMID: 36714785 PMCID: PMC9878698 DOI: 10.3389/fpls.2022.1094462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 12/28/2022] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Cold stress adversely affects the growth and development of plants and limits the geographical distribution of many plant species. Accumulation of spontaneous mutations shapes the adaptation of plant species to diverse climatic conditions. METHODS The genome-wide association study of the phenotypic variation gathered by a newly designed phenomic platform with the over six millions single nucleotide polymorphic (SNP) loci distributed across the genomes of 417 Arabidopsis natural variants collected from various geographical regions revealed 33 candidate cold responsive genes. RESULTS Investigation of at least two independent insertion mutants for 29 genes identified 16 chilling tolerance genes governing diverse genetic mechanisms. Five of these genes encode novel leucine-rich repeat domain-containing proteins including three nucleotide-binding site-leucine-rich repeat (NBS-LRR) proteins. Among the 16 identified chilling tolerance genes, ADS2 and ACD6 are the only two chilling tolerance genes identified earlier. DISCUSSION The 12.5% overlap between the genes identified in this genome-wide association study (GWAS) of natural variants with those discovered previously through forward and reverse genetic approaches suggests that chilling tolerance is a complex physiological process governed by a large number of genetic mechanisms.
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Affiliation(s)
- Dipak Kumar Sahoo
- Department of Agronomy, Iowa State University, Ames, IA, United States
| | - Chinmay Hegde
- Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, United States
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29
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Yuan S, Shi Y, Zhou BF, Liang YY, Chen XY, An QQ, Fan YR, Shen Z, Ingvarsson PK, Wang B. Genomic vulnerability to climate change in Quercus acutissima, a dominant tree species in East Asian deciduous forests. Mol Ecol 2023; 32:1639-1655. [PMID: 36626136 DOI: 10.1111/mec.16843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 12/30/2022] [Accepted: 01/05/2023] [Indexed: 01/11/2023]
Abstract
Understanding the evolutionary processes that shape the landscape of genetic variation and influence the response of species to future climate change is critical for biodiversity conservation. Here, we sampled 27 populations across the distribution range of a dominant forest tree, Quercus acutissima, in East Asia, and applied genome-wide analyses to track the evolutionary history and predict the fate of populations under future climate. We found two genetic groups (East and West) in Q. acutissima that diverged during Pliocene. We also found a heterogeneous landscape of genomic variation in this species, which may have been shaped by population demography and linked selections. Using genotype-environment association analyses, we identified climate-associated SNPs in a diverse set of genes and functional categories, indicating a model of polygenic adaptation in Q. acutissima. We further estimated three genetic offset metrics to quantify genomic vulnerability of this species to climate change due to the complex interplay between local adaptation and migration. We found that marginal populations are under higher risk of local extinction because of future climate change, and may not be able to track suitable habitats to maintain the gene-environment relationships observed under the current climate. We also detected higher reverse genetic offsets in northern China, indicating that genetic variation currently present in the whole range of Q. acutissima may not adapt to future climate conditions in this area. Overall, this study illustrates how evolutionary processes have shaped the landscape of genomic variation, and provides a comprehensive genome-wide view of climate maladaptation in Q. acutissima.
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Affiliation(s)
- Shuai Yuan
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Applied Botany, Guangzhou, China.,South China National Botanical Garden, Guangzhou, China
| | - Yong Shi
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Applied Botany, Guangzhou, China.,South China National Botanical Garden, Guangzhou, China
| | - Biao-Feng Zhou
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Applied Botany, Guangzhou, China.,South China National Botanical Garden, Guangzhou, China
| | - Yi-Ye Liang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Applied Botany, Guangzhou, China.,South China National Botanical Garden, Guangzhou, China
| | - Xue-Yan Chen
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Applied Botany, Guangzhou, China.,South China National Botanical Garden, Guangzhou, China
| | - Qing-Qing An
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Applied Botany, Guangzhou, China.,South China National Botanical Garden, Guangzhou, China
| | - Yan-Ru Fan
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Applied Botany, Guangzhou, China.,South China National Botanical Garden, Guangzhou, China
| | - Zhao Shen
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Applied Botany, Guangzhou, China.,South China National Botanical Garden, Guangzhou, China
| | - Pär K Ingvarsson
- Department of Plant Biology, Linnean Center for Plant Biology, Uppsala BioCenter, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Baosheng Wang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Applied Botany, Guangzhou, China.,South China National Botanical Garden, Guangzhou, China
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30
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Verslues PE, Bailey-Serres J, Brodersen C, Buckley TN, Conti L, Christmann A, Dinneny JR, Grill E, Hayes S, Heckman RW, Hsu PK, Juenger TE, Mas P, Munnik T, Nelissen H, Sack L, Schroeder JI, Testerink C, Tyerman SD, Umezawa T, Wigge PA. Burning questions for a warming and changing world: 15 unknowns in plant abiotic stress. THE PLANT CELL 2023; 35:67-108. [PMID: 36018271 PMCID: PMC9806664 DOI: 10.1093/plcell/koac263] [Citation(s) in RCA: 43] [Impact Index Per Article: 43.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/21/2022] [Indexed: 05/08/2023]
Abstract
We present unresolved questions in plant abiotic stress biology as posed by 15 research groups with expertise spanning eco-physiology to cell and molecular biology. Common themes of these questions include the need to better understand how plants detect water availability, temperature, salinity, and rising carbon dioxide (CO2) levels; how environmental signals interface with endogenous signaling and development (e.g. circadian clock and flowering time); and how this integrated signaling controls downstream responses (e.g. stomatal regulation, proline metabolism, and growth versus defense balance). The plasma membrane comes up frequently as a site of key signaling and transport events (e.g. mechanosensing and lipid-derived signaling, aquaporins). Adaptation to water extremes and rising CO2 affects hydraulic architecture and transpiration, as well as root and shoot growth and morphology, in ways not fully understood. Environmental adaptation involves tradeoffs that limit ecological distribution and crop resilience in the face of changing and increasingly unpredictable environments. Exploration of plant diversity within and among species can help us know which of these tradeoffs represent fundamental limits and which ones can be circumvented by bringing new trait combinations together. Better defining what constitutes beneficial stress resistance in different contexts and making connections between genes and phenotypes, and between laboratory and field observations, are overarching challenges.
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Affiliation(s)
| | - Julia Bailey-Serres
- Department of Botany and Plant Sciences, Center for Plant Cell Biology, University of California, Riverside, California 92521, USA
| | - Craig Brodersen
- School of the Environment, Yale University, New Haven, Connecticut 06511, USA
| | - Thomas N Buckley
- Department of Plant Sciences, University of California, Davis, California 95616, USA
| | - Lucio Conti
- Department of Biosciences, University of Milan, Milan 20133, Italy
| | - Alexander Christmann
- School of Life Sciences, Technical University Munich, Freising-Weihenstephan 85354, Germany
| | - José R Dinneny
- Department of Biology, Stanford University, Stanford, California 94305, USA
| | - Erwin Grill
- School of Life Sciences, Technical University Munich, Freising-Weihenstephan 85354, Germany
| | - Scott Hayes
- Laboratory of Plant Physiology, Plant Sciences Group, Wageningen University and Research, Wageningen 6708 PB, The Netherlands
| | - Robert W Heckman
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712, USA
| | - Po-Kai Hsu
- Department of Cell and Developmental Biology, School of Biological Sciences, University of California San Diego, La Jolla, California 92093, USA
| | - Thomas E Juenger
- Department of Integrative Biology, University of Texas at Austin, Austin, Texas 78712, USA
| | - Paloma Mas
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Barcelona 08193, Spain
- Consejo Superior de Investigaciones Científicas (CSIC), Barcelona 08028, Spain
| | - Teun Munnik
- Department of Plant Cell Biology, Green Life Sciences Cluster, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam NL-1098XH, The Netherlands
| | - Hilde Nelissen
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent 9052, Belgium
- VIB Center for Plant Systems Biology, Ghent 9052, Belgium
| | - Lawren Sack
- Department of Ecology and Evolutionary Biology, Institute of the Environment and Sustainability, University of California, Los Angeles, California 90095, USA
| | - Julian I Schroeder
- Department of Cell and Developmental Biology, School of Biological Sciences, University of California San Diego, La Jolla, California 92093, USA
| | - Christa Testerink
- Laboratory of Plant Physiology, Plant Sciences Group, Wageningen University and Research, Wageningen 6708 PB, The Netherlands
| | - Stephen D Tyerman
- ARC Center Excellence, Plant Energy Biology, School of Agriculture Food and Wine, University of Adelaide, Adelaide, South Australia 5064, Australia
| | - Taishi Umezawa
- Faculty of Agriculture, Tokyo University of Agriculture and Technology, Tokyo 6708 PB, Japan
| | - Philip A Wigge
- Leibniz-Institut für Gemüse- und Zierpflanzenbau, Großbeeren 14979, Germany
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam 14476, Germany
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31
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Lasky JR, Josephs EB, Morris GP. Genotype-environment associations to reveal the molecular basis of environmental adaptation. THE PLANT CELL 2023; 35:125-138. [PMID: 36005926 PMCID: PMC9806588 DOI: 10.1093/plcell/koac267] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/23/2022] [Indexed: 06/14/2023]
Abstract
A fundamental goal in plant biology is to identify and understand the variation underlying plants' adaptation to their environment. Climate change has given new urgency to this goal, as society aims to accelerate adaptation of ecologically important plant species, endangered plant species, and crops to hotter, less predictable climates. In the pre-genomic era, identifying adaptive alleles was painstaking work, leveraging genetics, molecular biology, physiology, and ecology. Now, the rise of genomics and new computational approaches may facilitate this research. Genotype-environment associations (GEAs) use statistical associations between allele frequency and environment of origin to test the hypothesis that allelic variation at a given gene is adapted to local environments. Researchers may scan the genome for GEAs to generate hypotheses on adaptive genetic variants (environmental genome-wide association studies). Despite the rapid adoption of these methods, many important questions remain about the interpretation of GEA findings, which arise from fundamental unanswered questions on the genetic architecture of adaptation and limitations inherent to association-based analyses. We outline strategies to ground GEAs in the underlying hypotheses of genetic architecture and better test GEA-generated hypotheses using genetics and ecophysiology. We provide recommendations for new users who seek to learn about the molecular basis of adaptation. When combined with a rigorous hypothesis testing framework, GEAs may facilitate our understanding of the molecular basis of climate adaptation for plant improvement.
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Affiliation(s)
- Jesse R Lasky
- Department of Biology, Pennsylvania State University, University Park, Pennsylvania 16802, USA
| | - Emily B Josephs
- Department of Plant Biology; Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, Michigan 48824, USA
| | - Geoffrey P Morris
- Department of Soil and Crop Sciences; Cell and Molecular Biology Program, Colorado State University, Fort Collins, Colorado 80526, USA
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32
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Jiang Y, Wang Z, Du H, Dong R, Yuan Y, Hua J. Assessment of functional relevance of genes associated with local temperature variables in Arabidopsis thaliana. PLANT, CELL & ENVIRONMENT 2022; 45:3290-3304. [PMID: 35943206 DOI: 10.1111/pce.14417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/23/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
How likely genetic variations associated with environment identified in silico from genome wide association study are functionally relevant to environmental adaptation has been largely unexplored experimentally. Here we analyzed top 29 genes containing polymorphisms associated with local temperature variation (minimum, mean, maximum) among 1129 natural accessions of Arabidopsis thaliana. Their loss-of-function mutants were assessed for growth and stress tolerance at five temperatures. Twenty genes were found to affect growth or tolerance at one or more of these temperatures. Significantly, genes associated with maximum temperature more likely have a detect a function at higher temperature, while genes associated with minimum temperature more likely have a function at lower temperature. In addition, gene variants are distributed more frequently at geographic locations where they apparently offer an enhanced growth or tolerance for five genes tested. Furthermore, variations in a large proportion of the in silico identified genes associated with minimum or mean-temperatures exhibited a significant association with growth phenotypes experimentally assessed at low temperature for a small set of natural accessions. This study shows a functional relevance of gene variants associated with environmental variables and supports the feasibility of the use of local temperature factors in investigating the genetic basis of temperature adaptation.
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Affiliation(s)
- Yuan Jiang
- Jilin Engineering Research Center of Crop Biotechnology Breeding, College of Plant Science, Jilin University, Changchun, China
- Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA
| | - Zhixue Wang
- Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA
| | - Hui Du
- Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA
| | - Runlong Dong
- Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA
| | - Yaping Yuan
- Jilin Engineering Research Center of Crop Biotechnology Breeding, College of Plant Science, Jilin University, Changchun, China
| | - Jian Hua
- Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, New York, USA
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33
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Temperature-mediated flower size plasticity in Arabidopsis. iScience 2022; 25:105411. [PMID: 36388994 PMCID: PMC9646949 DOI: 10.1016/j.isci.2022.105411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 08/10/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
Organisms can rapidly mitigate the effects of environmental changes by changing their phenotypes, known as phenotypic plasticity. Yet, little is known about the temperature-mediated plasticity of traits that are directly linked to plant fitness such as flower size. We discovered substantial genetic variation in flower size plasticity to temperature both among selfing Arabidopsis thaliana and outcrossing A. arenosa individuals collected from a natural growth habitat. Genetic analysis using a panel of 290 A. thaliana accession and mutant lines revealed that MADS AFFECTING FLOWERING (MAF) 2-5 gene cluster, previously shown to regulate temperature-mediated flowering time, was associated to the flower size plasticity to temperature. Furthermore, our findings pointed that the control of plasticity differs from control of the trait itself. Altogether, our study advances the understanding of genetic and molecular factors underlying plasticity on fundamental fitness traits, such as flower size, in response to future climate scenarios.
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34
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A Genome-Wide Association study in Arabidopsis thaliana to decipher the adaptive genetics of quantitative disease resistance in a native heterogeneous environment. PLoS One 2022; 17:e0274561. [PMID: 36190949 PMCID: PMC9529085 DOI: 10.1371/journal.pone.0274561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 08/31/2022] [Indexed: 11/05/2022] Open
Abstract
Pathogens are often the main selective agents acting in plant communities, thereby influencing the distribution of polymorphism at loci affecting resistance within and among natural plant populations. In addition, the outcome of plant-pathogen interactions can be drastically affected by abiotic and biotic factors at different spatial and temporal grains. The characterization of the adaptive genetic architecture of disease resistance in native heterogeneous environments is however still missing. In this study, we conducted an in situ Genome-Wide Association study in the spatially heterogeneous native habitat of a highly genetically polymorphic local mapping population of Arabidopsis thaliana, to unravel the adaptive genetic architecture of quantitative disease resistance. Disease resistance largely differed among three native soils and was affected by the presence of the grass Poa annua. The observation of strong crossing reactions norms among the 195 A. thaliana genotypes for disease resistance among micro-habitats, combined with a negative fecundity-disease resistance relationship in each micro-habitat, suggest that alternative local genotypes of A. thaliana are favored under contrasting environmental conditions at the scale of few meters. A complex genetic architecture was detected for disease resistance and fecundity. However, only few QTLs were common between these two traits. Heterogeneous selection in this local population should therefore promote the maintenance of polymorphism at only few candidate resistance genes.
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35
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Feng T, Wu P, Gao H, Kosma DK, Jenks MA, Lü S. Natural variation in root suberization is associated with local environment in Arabidopsis thaliana. THE NEW PHYTOLOGIST 2022; 236:385-398. [PMID: 35751382 DOI: 10.1111/nph.18341] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/16/2022] [Indexed: 06/15/2023]
Abstract
Genetic signature of climate adaptation has been widely recognized across the genome of many organisms; however, the eco-physiological basis for linking genomic polymorphisms with local adaptations remains largely unexplored. Using a panel of 218 world-wide Arabidopsis accessions, we characterized the natural variation in root suberization by quantifying 16 suberin monomers. We explored the associations between suberization traits and 126 climate variables. We conducted genome-wide association analysis and integrated previous genotype-environment association (GEA) to identify the genetic bases underlying suberization variation and their involvements in climate adaptation. Root suberin content displays extensive variation across Arabidopsis populations and significantly correlates with local moisture gradients and soil characteristics. Specifically, enhanced suberization is associated with drier environments, higher soil cation-exchange capacity, and lower soil pH; higher proportional levels of very-long-chain suberin is negatively correlated with moisture availability, lower soil gravel content, and higher soil silt fraction. We identified 94 putative causal loci and experimentally proved that GPAT6 is involved in C16 suberin biosynthesis. Highly significant associations between the putative genes and environmental variables were observed. Roots appear highly responsive to environmental heterogeneity via regulation of suberization, especially the suberin composition. The patterns of suberization-environment correlation and the suberin-related GEA fit the expectations of local adaptation for the polygenic suberization trait.
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Affiliation(s)
- Tao Feng
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Pan Wu
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
| | - Huani Gao
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
| | - Dylan K Kosma
- Department of Biochemistry and Molecular Biology, University of Nevada, Reno, Reno, NV, 89557, USA
| | - Matthew A Jenks
- School of Plant Sciences, College of Agriculture and Life Sciences, The University of Arizona, Tucson, AZ, 85721, USA
| | - Shiyou Lü
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan, 430062, China
- Hubei Hongshan Laboratory, Wuhan, 430070, China
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36
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Fletcher LR, Scoffoni C, Farrell C, Buckley TN, Pellegrini M, Sack L. Testing the association of relative growth rate and adaptation to climate across natural ecotypes of Arabidopsis. THE NEW PHYTOLOGIST 2022; 236:413-432. [PMID: 35811421 DOI: 10.1111/nph.18369] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
Abstract
Ecophysiologists have reported a range of relationships, including intrinsic trade-offs across and within species between plant relative growth rate in high resource conditions (RGR) vs adaptation to tolerate cold or arid climates, arising from trait-based mechanisms. Few studies have considered ecotypes within a species, in which the lack of a trade-off would contribute to a wide species range and resilience to climate change. For 15 ecotypes of Arabidopsis thaliana in a common garden we tested for associations between RGR vs adaptation to cold or dry native climates and assessed hypotheses for its mediation by 15 functional traits. Ecotypes native to warmer, drier climates had higher leaf density, leaf mass per area, root mass fraction, nitrogen per leaf area and carbon isotope ratio, and lower osmotic potential at full turgor. Relative growth rate was statistically independent of the climate of the ecotype native range and of individual functional traits. The decoupling of RGR and cold or drought adaptation in Arabidopsis is consistent with multiple stress resistance and avoidance mechanisms for ecotypic climate adaptation and would contribute to the species' wide geographic range and resilience as the climate changes.
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Affiliation(s)
- Leila R Fletcher
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095, USA
- School of the Environment, Yale University, New Haven, CT, 06511, USA
| | - Christine Scoffoni
- Department of Biological Sciences, California State University, Los Angeles, CA, 90032, USA
| | - Colin Farrell
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, 90095, USA
| | - Thomas N Buckley
- Department of Plant Sciences, College of Agricultural and Environmental Sciences, University of California, Davis, CA, 95616, USA
| | - Matteo Pellegrini
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, 90095, USA
| | - Lawren Sack
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, CA, 90095, USA
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37
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Gómez-Espejo AL, Sansaloni CP, Burgueño J, Toledo FH, Benavides-Mendoza A, Reyes-Valdés MH. Worldwide Selection Footprints for Drought and Heat in Bread Wheat (Triticum aestivum L.). PLANTS 2022; 11:plants11172289. [PMID: 36079671 PMCID: PMC9460392 DOI: 10.3390/plants11172289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/18/2022] [Accepted: 08/29/2022] [Indexed: 11/16/2022]
Abstract
Genome–environment Associations (GEA) or Environmental Genome-Wide Association scans (EnvGWAS) have been poorly applied for studying the genomics of adaptive traits in bread wheat landraces (Triticum aestivum L.). We analyzed 990 landraces and seven climatic variables (mean temperature, maximum temperature, precipitation, precipitation seasonality, heat index of mean temperature, heat index of maximum temperature, and drought index) in GEA using the FarmCPU approach with GAPIT. Historical temperature and precipitation values were obtained as monthly averages from 1970 to 2000. Based on 26,064 high-quality SNP loci, landraces were classified into ten subpopulations exhibiting high genetic differentiation. The GEA identified 59 SNPs and nearly 89 protein-encoding genes involved in the response processes to abiotic stress. Genes related to biosynthesis and signaling are mainly mediated by auxins, abscisic acid (ABA), ethylene (ET), salicylic acid (SA), and jasmonates (JA), which are known to operate together in modulation responses to heat stress and drought in plants. In addition, we identified some proteins associated with the response and tolerance to stress by high temperatures, water deficit, and cell wall functions. The results provide candidate regions for selection aimed to improve drought and heat tolerance in bread wheat and provide insights into the genetic mechanisms involved in adaptation to extreme environments.
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Affiliation(s)
- Ana L. Gómez-Espejo
- Programa de Doctorado en Recursos Fitogenéticos para Zonas Áridas, Universidad Autónoma Agraria Antonio Narro (UAAAN), Saltillo 25315, Mexico or
| | | | - Juan Burgueño
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco 56237, Mexico
| | - Fernando H. Toledo
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco 56237, Mexico
| | - Adalberto Benavides-Mendoza
- Programa de Doctorado en Recursos Fitogenéticos para Zonas Áridas, Universidad Autónoma Agraria Antonio Narro (UAAAN), Saltillo 25315, Mexico or
| | - M. Humberto Reyes-Valdés
- Programa de Doctorado en Recursos Fitogenéticos para Zonas Áridas, Universidad Autónoma Agraria Antonio Narro (UAAAN), Saltillo 25315, Mexico or
- Correspondence:
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38
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Wu X, Wang X, Chen W, Liu X, Lin Y, Wang F, Liu L, Meng Y. A microRNA-microRNA crosstalk network inferred from genome-wide single nucleotide polymorphism variants in natural populations of Arabidopsis thaliana. FRONTIERS IN PLANT SCIENCE 2022; 13:958520. [PMID: 36131801 PMCID: PMC9484463 DOI: 10.3389/fpls.2022.958520] [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: 06/07/2022] [Accepted: 08/01/2022] [Indexed: 06/15/2023]
Abstract
To adapt to variable natural conditions, plants have evolved several strategies to respond to different environmental stresses. MicroRNA (miRNA)-mediated gene regulation is one of such strategies. Variants, e.g., single nucleotide polymorphisms (SNPs) within the mature miRNAs or their target sites may cause the alteration of regulatory networks and serious phenotype changes. In this study, we proposed a novel approach to construct a miRNA-miRNA crosstalk network in Arabidopsis thaliana based on the notion that two cooperative miRNAs toward common targets are under a strong pressure to be inherited together across ecotypes. By performing a genome-wide scan of the SNPs within the mature miRNAs and their target sites, we defined a "regulation fate profile" to describe a miRNA-target regulation being static (kept) or dynamic (gained or lost) across 1,135 ecotypes compared with the reference genome of Col-0. The cooperative miRNA pairs were identified by estimating the similarity of their regulation fate profiles toward the common targets. The reliability of the cooperative miRNA pairs was supported by solid expressional correlation, high PPImiRFS scores, and similar stress responses. Different combinations of static and dynamic miRNA-target regulations account for the cooperative miRNA pairs acting on various biological characteristics of miRNA conservation, expression, homology, and stress response. Interestingly, the targets that are co-regulated dynamically by both cooperative miRNAs are more likely to be responsive to stress. Hence, stress-related genes probably bear selective pressures in a certain group of ecotypes, in which miRNA regulations on the stress genes reprogram. Finally, three case studies showed that reprogramming miRNA-miRNA crosstalk toward the targets in specific ecotypes was associated with these ecotypes' climatic variables and geographical locations. Our study highlights the potential of miRNA-miRNA crosstalk as a genetic basis underlying environmental adaptation in natural populations.
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Affiliation(s)
- Xiaomei Wu
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
| | - Xuewen Wang
- Department of Genetics, University of Georgia, Athens, GA, United States
| | - Wei Chen
- College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Xunyan Liu
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
| | - Yibin Lin
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
| | - Fengfeng Wang
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
| | - Lulu Liu
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
| | - Yijun Meng
- College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou, China
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Bajpai PK, Harel A, Shafir S, Barazani O. Whole genome sequencing reveals footprints of adaptive genetic variation in populations of Eruca sativa. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.938981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Populations of Eruca sativa (Brassicaceae) derived from arid and Mediterranean habitats exhibit ecotypic differentiation. Here, pooled DNA sequencing was used to assess adaptive genome differentiation in the two ecotypes. Differentiated SNP loci were scanned with the empirical FST outlier method and by correlating allele frequencies with environmental parameters. Genetic diversity values were relatively higher in the pooled arid genome, whereas the pooled Mediterranean genome exhibited stronger directional selection, indicating the impact of climatic conditions on genetic diversity. GO enrichment analysis categorized the annotated differentiated loci according to biological processes, revealing a large set of candidate genes related to abiotic and biotic stress responses. Allelic variation was detected in regulatory elements and coding regions (synonymous and non-synonymous mutations) of genes belonging to different transcription factors and phytohormone signaling, suggesting adaptation to both abiotic and biotic conditions. Furthermore, SNP mutations were also found in genic regions belonging to the synthesis of secondary metabolites, including aliphatic glucosinolates and their hydrolyzed bioactive compounds, among others. The results of this eco-genomic study demonstrate the role of divergent abiotic and biotic selection factors in evolutionary processes leading to adaptive ecotypic differentiation.
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40
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Cortés AJ, López-Hernández F, Blair MW. Genome–Environment Associations, an Innovative Tool for Studying Heritable Evolutionary Adaptation in Orphan Crops and Wild Relatives. Front Genet 2022; 13:910386. [PMID: 35991553 PMCID: PMC9389289 DOI: 10.3389/fgene.2022.910386] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/30/2022] [Indexed: 11/23/2022] Open
Abstract
Leveraging innovative tools to speed up prebreeding and discovery of genotypic sources of adaptation from landraces, crop wild relatives, and orphan crops is a key prerequisite to accelerate genetic gain of abiotic stress tolerance in annual crops such as legumes and cereals, many of which are still orphan species despite advances in major row crops. Here, we review a novel, interdisciplinary approach to combine ecological climate data with evolutionary genomics under the paradigm of a new field of study: genome–environment associations (GEAs). We first exemplify how GEA utilizes in situ georeferencing from genotypically characterized, gene bank accessions to pinpoint genomic signatures of natural selection. We later discuss the necessity to update the current GEA models to predict both regional- and local- or micro-habitat–based adaptation with mechanistic ecophysiological climate indices and cutting-edge GWAS-type genetic association models. Furthermore, to account for polygenic evolutionary adaptation, we encourage the community to start gathering genomic estimated adaptive values (GEAVs) for genomic prediction (GP) and multi-dimensional machine learning (ML) models. The latter two should ideally be weighted by de novo GWAS-based GEA estimates and optimized for a scalable marker subset. We end the review by envisioning avenues to make adaptation inferences more robust through the merging of high-resolution data sources, such as environmental remote sensing and summary statistics of the genomic site frequency spectrum, with the epigenetic molecular functionality responsible for plastic inheritance in the wild. Ultimately, we believe that coupling evolutionary adaptive predictions with innovations in ecological genomics such as GEA will help capture hidden genetic adaptations to abiotic stresses based on crop germplasm resources to assist responses to climate change. “I shall endeavor to find out how nature’s forces act upon one another, and in what manner the geographic environment exerts its influence on animals and plants. In short, I must find out about the harmony in nature” Alexander von Humboldt—Letter to Karl Freiesleben, June 1799.
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Affiliation(s)
- Andrés J. Cortés
- Corporacion Colombiana de Investigacion Agropecuaria AGROSAVIA, C.I. La Selva, Rionegro, Colombia
- *Correspondence: Andrés J. Cortés, ; Matthew W. Blair,
| | - Felipe López-Hernández
- Corporacion Colombiana de Investigacion Agropecuaria AGROSAVIA, C.I. La Selva, Rionegro, Colombia
| | - Matthew W. Blair
- Department of Agricultural & Environmental Sciences, Tennessee State University, Nashville, TN, United States
- *Correspondence: Andrés J. Cortés, ; Matthew W. Blair,
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Shi S, Shao D, Yang L, Liang Q, Han W, Xue Q, Qu L, Leng L, Li Y, Zhao X, Dong P, Walugembe M, Kayang BB, Muhairwa AP, Zhou H, Tong H. Whole Genome Analyses Reveal Novel Genes Associated with Chicken Adaptation to Tropical and Frigid Environments. J Adv Res 2022; 47:13-25. [PMID: 35907630 PMCID: PMC10173185 DOI: 10.1016/j.jare.2022.07.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/01/2022] [Accepted: 07/17/2022] [Indexed: 01/25/2023] Open
Abstract
INTRODUCTION Investigating the genetic footprints of historical temperature selection can get insights to the local adaptation and feasible influences of climate change on long-term population dynamics. OBJECT Chicken is a significative species to study genetic adaptation on account of its similar domestication track related to human activity with the most diversified varieties. Yet, few studies have demonstrated the genetic signatures of its adaptation to naturally tropical and frigid environments. METHOD Here, we generated whole genome resequencing of 119 domesticated chickens in China including the following breeds which are in order of breeding environmental temperature from more tropical to more frigid: Wenchang chicken (WCC), green-shell chicken (GSC), Tibetan chicken (TBC), and Lindian chicken (LDC). RESULTS Our results showed WCC branched off earlier than LDC with an evident genetic admixture between WCC and LDC, suggesting their closer genetic relationship. Further comparative genomic analyses solute carrier family 33 member 1 (SLC33A1) and thyroid stimulating hormone receptor (TSHR) genes exhibited stronger signatures for positive selection in the genome of the more tropical WCC. Furthermore, genotype data from about 3,000 African local ecotypes confirmed that allele frequencies of single nucleotide polymorphisms (SNPs) in these 2 genes appeared strongly associated with tropical environment adaptation. In addition, the NADH:ubiquinone oxidoreductase subunit S4 (NDUFS4) gene exhibited a strong signature for positive selection in the LDC genome, and SNPs with marked allele frequency differences indicated a significant relationship with frigid environment adaptation. CONCLUSION Our findings partially clarify how selection footprints from environmental temperature stress can lead to advantageous genomic adaptions to tropical and frigid environments in poultry and provide a valuable resource for selective breeding of chickens.
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Affiliation(s)
- Shourong Shi
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China
| | - Dan Shao
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China
| | - Lingyun Yang
- Novogene Bioinformatics Institute, Beijing 10089, China
| | - Qiqi Liang
- Novogene Bioinformatics Institute, Beijing 10089, China
| | - Wei Han
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China
| | - Qian Xue
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China
| | - Liang Qu
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China
| | - Li Leng
- College of Animal Science and technology, Northeast Agricultural University, Harbin, Heilongjiang, 150038, China
| | - Yishu Li
- Tropical Crop Germplasm Research Institute, Haikou, Hainan, 571101, China
| | - Xiaogang Zhao
- Agriculture and Animal Husbandry Rural and Science and Technology Bureau, Xiangcheng County, Ganzi Tibetan Autonomous Prefecture, Sichuan, 626000, China
| | - Ping Dong
- Agriculture and Animal Husbandry Rural and Science and Technology Bureau, Xiangcheng County, Ganzi Tibetan Autonomous Prefecture, Sichuan, 626000, China
| | - Muhammed Walugembe
- Department of Animal Science, Iowa State University, 2255 Kildee Hall, Ames, IA 50011, USA
| | - Boniface B Kayang
- Department of Animal Science, University of Ghana, Legon, Accra 233, Ghana
| | - Amandus P Muhairwa
- Department of Veterinary Medicine and Public Health, College of Veterinary Medicine and Biomedical Sciences, Sokoine University of Agriculture, P.O. Box 3000 Chuo Kikuu, Morogoro, Tanzania
| | - Huaijun Zhou
- Department of Animal Science, College of Agricultural and Environmental Sciences, University of California, Davis, CA 95616, USA
| | - Haibing Tong
- Poultry Institute, Chinese Academy of Agriculture Science, Yangzhou, Jiangsu 225125, China.
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42
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Lin X, Zhang N, Song H, Lin K, Pang E. Population-specific, recent positive selection signatures in cultivated Cucumis sativus L. (cucumber). G3 GENES|GENOMES|GENETICS 2022; 12:6585339. [PMID: 35554526 PMCID: PMC9258548 DOI: 10.1093/g3journal/jkac119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/03/2022] [Indexed: 11/13/2022]
Abstract
Population-specific, positive selection promotes the diversity of populations and drives local adaptations in the population. However, little is known about population-specific, recent positive selection in the populations of cultivated cucumber (Cucumis sativus L.). Based on a genomic variation map of individuals worldwide, we implemented a Fisher’s combination method by combining 4 haplotype-based approaches: integrated haplotype score (iHS), number of segregating sites by length (nSL), cross-population extended haplotype homozygosity (XP-EHH), and Rsb. Overall, we detected 331, 2,147, and 3,772 population-specific, recent positive selective sites in the East Asian, Eurasian, and Xishuangbanna populations, respectively. Moreover, we found that these sites were related to processes for reproduction, response to abiotic and biotic stress, and regulation of developmental processes, indicating adaptations to their microenvironments. Meanwhile, the selective genes associated with traits of fruits were also observed, such as the gene related to the shorter fruit length in the Eurasian population and the gene controlling flesh thickness in the Xishuangbanna population. In addition, we noticed that soft sweeps were common in the East Asian and Xishuangbanna populations. Genes involved in hard or soft sweeps were related to developmental regulation and abiotic and biotic stress resistance. Our study offers a comprehensive candidate dataset of population-specific, selective signatures in cultivated cucumber populations. Our methods provide guidance for the analysis of population-specific, positive selection. These findings will help explore the biological mechanisms of adaptation and domestication of cucumber.
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Affiliation(s)
- Xinrui Lin
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Ning Zhang
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Hongtao Song
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Kui Lin
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
| | - Erli Pang
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University , Beijing 100875, China
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43
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Tournebize R, Borner L, Manel S, Meynard CN, Vigouroux Y, Crouzillat D, Fournier C, Kassam M, Descombes P, Tranchant-Dubreuil C, Parrinello H, Kiwuka C, Sumirat U, Legnate H, Kambale JL, Sonké B, Mahinga JC, Musoli P, Janssens SB, Stoffelen P, de Kochko A, Poncet V. Ecological and genomic vulnerability to climate change across native populations of Robusta coffee (Coffea canephora). GLOBAL CHANGE BIOLOGY 2022; 28:4124-4142. [PMID: 35527235 DOI: 10.1111/gcb.16191] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 02/11/2022] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
The assessment of population vulnerability under climate change is crucial for planning conservation as well as for ensuring food security. Coffea canephora is, in its native habitat, an understorey tree that is mainly distributed in the lowland rainforests of tropical Africa. Also known as Robusta, its commercial value constitutes a significant revenue for many human populations in tropical countries. Comparing ecological and genomic vulnerabilities within the species' native range can provide valuable insights about habitat loss and the species' adaptive potential, allowing to identify genotypes that may act as a resource for varietal improvement. By applying species distribution models, we assessed ecological vulnerability as the decrease in climatic suitability under future climatic conditions from 492 occurrences. We then quantified genomic vulnerability (or risk of maladaptation) as the allelic composition change required to keep pace with predicted climate change. Genomic vulnerability was estimated from genomic environmental correlations throughout the native range. Suitable habitat was predicted to diminish to half its size by 2050, with populations near coastlines and around the Congo River being the most vulnerable. Whole-genome sequencing revealed 165 candidate SNPs associated with climatic adaptation in C. canephora, which were located in genes involved in plant response to biotic and abiotic stressors. Genomic vulnerability was higher for populations in West Africa and in the region at the border between DRC and Uganda. Despite an overall low correlation between genomic and ecological vulnerability at broad scale, these two components of vulnerability overlap spatially in ways that may become damaging. Genomic vulnerability was estimated to be 23% higher in populations where habitat will be lost in 2050 compared to regions where habitat will remain suitable. These results highlight how ecological and genomic vulnerabilities are relevant when planning on how to cope with climate change regarding an economically important species.
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Affiliation(s)
- Rémi Tournebize
- DIADE, CIRAD, IRD, Univ. Montpellier, Montpellier, France
- Instituto Gulbenkian de Ciência, Oeiras, Portugal
| | - Leyli Borner
- CBGP, INRAE, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France
- INRAE, Le Rheu, France
| | - Stéphanie Manel
- CEFE, CNRS, EPHE-PSL University, IRD, Univ Montpellier, Montpellier, France
| | - Christine N Meynard
- CBGP, INRAE, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France
| | - Yves Vigouroux
- DIADE, CIRAD, IRD, Univ. Montpellier, Montpellier, France
| | | | - Coralie Fournier
- Nestlé Research, Société des Produits Nestlé S.A., EPFL Innovation Park, Lausanne, Switzerland
- School of Medicine, University of Geneva, Geneva, Switzerland
| | - Mohamed Kassam
- Nestlé Research, Société des Produits Nestlé S.A., EPFL Innovation Park, Lausanne, Switzerland
- Danone Nutricia Research, Singapore
| | - Patrick Descombes
- Nestlé Research, Société des Produits Nestlé S.A., EPFL Innovation Park, Lausanne, Switzerland
| | | | - Hugues Parrinello
- CNRS, INSERM, Univ. Montpellier, Montpellier, France
- Montpellier GenomiX, France Génomique, Montpellier, France
| | | | | | | | - Jean-Léon Kambale
- University of Kisangani, Kisangani, Democratic Republic of the Congo
| | | | | | | | - Steven B Janssens
- Meise Botanic Garden, Meise, Belgium
- Department of Biology, KU Leuven, Leuven, Belgium
| | | | | | - Valérie Poncet
- DIADE, CIRAD, IRD, Univ. Montpellier, Montpellier, France
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44
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Hou Z, Li A. Genomic Differentiation and Demographic Histories of Two Closely Related Salicaceae Species. FRONTIERS IN PLANT SCIENCE 2022; 13:911467. [PMID: 35747877 PMCID: PMC9210983 DOI: 10.3389/fpls.2022.911467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 05/06/2022] [Indexed: 06/15/2023]
Abstract
Populus alba (P. alba) and Populus davidiana (P. davidiana) are important plant species for answering a variety of issues on species evolution due to their wide distribution and ability to adapt to a variety of environments and climates. Even though P. alba and P. davidiana belong to ecologically and economically important forest trees in the Northern Hemisphere, little is known about their genomic landscape and genome divergence during speciation. We re-sequenced 20 and 19 members of P. davidiana and P. alba, respectively, and found that the Dxy value between P. alba and P. davidiana was 0.2658, whereas the F ST values were 0.2988, indicating that the genetic divergence was fairly clear. Populus davidiana and P. alba diverged from the ancestor in the middle Pleistocene, c. 0.80 Ma (95% HPD: 0.79-0.81 Ma). The population sizes of P. davidiana increased ~20,000 years ago after a considerable long-term decline following divergence. However, after differentiation, the effective population size of P. alba expanded slightly before experiencing a long-term bottleneck effect. According to the expectation of allopatric speciation, we found a significant number of genomic differentiation sites in both species' speciation events, and the majority of these genomic differentiation regions can be attributed to neutral evolutionary processes. Nevertheless, the regions with extreme divergence exist in abundance, indicating that natural selection has had an impact. Positive selection can be found in highly differentiated regions, while long-term balancing selection traits can be easily observed in low differentiated regions. According to these findings, climate differences over the Quaternary, as well as variance in linked selection and recombination, all contributed significantly to genomic divergence during allopatric speciation of the two aspens.
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45
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Climate Adaptation, Drought Susceptibility, and Genomic-Informed Predictions of Future Climate Refugia for the Australian Forest Tree Eucalyptus globulus. FORESTS 2022. [DOI: 10.3390/f13040575] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Understanding the capacity of forest tree species to adapt to climate change is of increasing importance for managing forest genetic resources. Through a genomics approach, we modelled spatial variation in climate adaptation within the Australian temperate forest tree Eucalyptus globulus, identified putative climate drivers of this genomic variation, and predicted locations of future climate refugia and populations at-risk of future maladaptation. Using 812,158 SNPs across 130 individuals from 30 populations (i.e., localities) spanning the species’ natural range, a gradientForest algorithm found 1177 SNPs associated with locality variation in home-site climate (climate-SNPs), putatively linking them to climate adaptation. Very few climate-SNPs were associated with population-level variation in drought susceptibility, signalling the multi-faceted nature and complexity of climate adaptation. Redundancy analysis (RDA) showed 24% of the climate-SNP variation could be explained by annual precipitation, isothermality, and maximum temperature of the warmest month. Spatial predictions of the RDA climate vectors associated with climate-SNPs allowed mapping of genomically informed climate selective surfaces across the species’ range under contemporary and projected future climates. These surfaces suggest over 50% of the current distribution of E. globulus will be outside the modelled adaptive range by 2070 and at risk of climate maladaptation. Such surfaces present a new integrated approach for natural resource managers to capture adaptive genetic variation and plan translocations in the face of climate change.
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46
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Coulibaly M, Idohou R, Akohoue F, Peterson AT, Sawadogo M, Achigan-Dako EG. Coupling genetic structure analysis and ecological-niche modeling in Kersting’s groundnut in West Africa. Sci Rep 2022; 12:5590. [PMID: 35379846 PMCID: PMC8980027 DOI: 10.1038/s41598-022-09153-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 03/14/2022] [Indexed: 01/14/2023] Open
Abstract
Orphan legume crops play an important role in smallholder farmers’ food systems. Though less documented, they have the potential to contribute to adequate nutrition in vulnerable communities. Unfortunately, data are scarce about the potential of those crops to withstand current and future climate variations. Using Macrotyloma geocarpum as an example, we used ecological niche modeling to explore the role of ecology on the current and future distributions of genetic populations of Kersting’s groundnut. Our findings showed that: (1) the models had good predictive power, indicating that M. geocarpum’s distribution was correlated with both climatic and soil layers; (2) identity and similarity tests revealed that the two genetic groups have identical and similar environmental niches; (3) by integrating the genetic information in niche modeling, niches projections show divergence in the response of the species and genetic populations to ongoing climate change. This study highlights the importance of incorporating genetic data into Ecological Niche Modeling (ENM) approaches to obtain a finer information of species’ future distribution, and explores the implications for agricultural adaptation, with a particular focus on identifying priority actions in orphan crops conservation and breeding.
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47
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Crombie TA, Battlay P, Tanny RE, Evans KS, Buchanan CM, Cook DE, Dilks CM, Stinson LA, Zdraljevic S, Zhang G, Roberto NM, Lee D, Ailion M, Hodgins KA, Andersen EC. Local adaptation and spatiotemporal patterns of genetic diversity revealed by repeated sampling of Caenorhabditis elegans across the Hawaiian Islands. Mol Ecol 2022; 31:2327-2347. [PMID: 35167162 PMCID: PMC9306471 DOI: 10.1111/mec.16400] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 01/23/2022] [Accepted: 02/03/2022] [Indexed: 11/28/2022]
Abstract
The nematode Caenorhabditis elegans is among the most widely studied organisms, but relatively little is known about its natural ecology. Genetic diversity is low across much of the globe but high in the Hawaiian Islands and across the Pacific Rim. To characterize the niche and genetic diversity of C. elegans on the Hawaiian Islands and to explore how genetic diversity might be influenced by local adaptation, we repeatedly sampled nematodes over a three‐year period, measured various environmental parameters at each sampling site, and whole‐genome sequenced the C. elegans isolates that we identified. We found that the typical Hawaiian C. elegans niche comprises moderately moist native forests at high elevations (500–1,500 m) where ambient air temperatures are cool (15–20°C). Compared to other Caenorhabditis species found on the Hawaiian Islands (e.g., Caenorhabditis briggsae and Caenorhabditis tropicalis), we found that C. elegans were enriched in native habitats. We measured levels of genetic diversity and differentiation among Hawaiian C. elegans and found evidence of seven genetically distinct groups distributed across the islands. Then, we scanned these genomes for signatures of local adaptation and identified 18 distinct regions that overlap with hyper‐divergent regions, which may be maintained by balancing selection and are enriched for genes related to environmental sensing, xenobiotic detoxification, and pathogen resistance. These results provide strong evidence of local adaptation among Hawaiian C. elegans and contribute to our understanding of the forces that shape genetic diversity on the most remote volcanic archipelago in the world.
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Affiliation(s)
- Timothy A Crombie
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
| | - Paul Battlay
- School of Biological Sciences, Monash University, Melbourne, Australia
| | - Robyn E Tanny
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
| | - Kathryn S Evans
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
| | - Claire M Buchanan
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
| | - Daniel E Cook
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA.,Interdisciplinary Biological Sciences Program, Northwestern University, Evanston, IL, USA
| | - Clayton M Dilks
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA.,Interdisciplinary Biological Sciences Program, Northwestern University, Evanston, IL, USA
| | - Loraina A Stinson
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA.,Interdisciplinary Biological Sciences Program, Northwestern University, Evanston, IL, USA
| | - Stefan Zdraljevic
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA.,Interdisciplinary Biological Sciences Program, Northwestern University, Evanston, IL, USA
| | - Gaotian Zhang
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
| | - Nicole M Roberto
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
| | - Daehan Lee
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
| | - Michael Ailion
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Kathryn A Hodgins
- School of Biological Sciences, Monash University, Melbourne, Australia
| | - Erik C Andersen
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
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48
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Boinot M, Karakas E, Koehl K, Pagter M, Zuther E. Cold stress and freezing tolerance negatively affect the fitness of Arabidopsis thaliana accessions under field and controlled conditions. PLANTA 2022; 255:39. [PMID: 35032192 PMCID: PMC8761124 DOI: 10.1007/s00425-021-03809-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 12/08/2021] [Indexed: 05/15/2023]
Abstract
Higher acclimated freezing tolerance improved winter survival, but reduced reproductive fitness of Arabidopsis thaliana accessions under field and controlled conditions. Low temperature is one of the most important abiotic factors influencing plant fitness and geographical distribution. In addition, cold stress is known to influence crop yield and is therefore of great economic importance. Increased freezing tolerance can be acquired by the process of cold acclimation, but this may be associated with a fitness cost. To assess the influence of cold stress on the fitness of plants, long-term field trials over 5 years were performed with six natural accessions of Arabidopsis thaliana ranging from very tolerant to very sensitive to freezing. Fitness parameters, as seed yield and 1000 seed mass, were measured and correlation analyses with temperature and freezing tolerance data performed. The results were compared with fitness parameters from controlled chamber experiments over 3 years with application of cold priming and triggering conditions. Winter survival and seed yield per plant were positively correlated with temperature in field experiments. In addition, winter survival and 1000 seed mass were correlated with the cold-acclimated freezing tolerance of the selected Arabidopsis accessions. The results provide strong evidence for a trade-off between higher freezing tolerance and reproductive fitness in A. thaliana, which might have ecological impacts in the context of global warming.
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Affiliation(s)
- Maximilian Boinot
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
| | - Esra Karakas
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
| | - Karin Koehl
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
| | - Majken Pagter
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany
- Department of Chemistry and Bioscience, Aalborg University, 9220, Aalborg East, Denmark
| | - Ellen Zuther
- Max Planck Institute of Molecular Plant Physiology, Am Muehlenberg 1, 14476, Potsdam, Germany.
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49
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Chen Z, Grossfurthner L, Loxterman JL, Masingale J, Richardson BA, Seaborn T, Smith B, Waits LP, Narum SR. Applying genomics in assisted migration under climate change: Framework, empirical applications, and case studies. Evol Appl 2022; 15:3-21. [PMID: 35126645 PMCID: PMC8792483 DOI: 10.1111/eva.13335] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 11/18/2021] [Accepted: 12/01/2021] [Indexed: 12/01/2022] Open
Abstract
The rate of global climate change is projected to outpace the ability of many natural populations and species to adapt. Assisted migration (AM), which is defined as the managed movement of climate-adapted individuals within or outside the species ranges, is a conservation option to improve species' adaptive capacity and facilitate persistence. Although conservation biologists have long been using genetic tools to increase or maintain diversity of natural populations, genomic techniques could add extra benefit in AM that include selectively neutral and adaptive regions of the genome. In this review, we first propose a framework along with detailed procedures to aid collaboration among scientists, agencies, and local and regional managers during the decision-making process of genomics-guided AM. We then summarize the genomic approaches for applying AM, followed by a literature search of existing incorporation of genomics in AM across taxa. Our literature search initially identified 729 publications, but after filtering returned only 50 empirical studies that were either directly applied or considered genomics in AM related to climate change across taxa of plants, terrestrial animals, and aquatic animals; 42 studies were in plants. This demonstrated limited application of genomic methods in AM in organisms other than plants, so we provide further case studies as two examples to demonstrate the negative impact of climate change on non-model species and how genomics could be applied in AM. With the rapidly developing sequencing technology and accumulating genomic data, we expect to see more successful applications of genomics in AM, and more broadly, in the conservation of biodiversity.
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Affiliation(s)
- Zhongqi Chen
- Aquaculture Research InstituteUniversity of IdahoHagermanIdahoUSA
| | - Lukas Grossfurthner
- Bioinformatics and Computational Biology Graduate ProgramUniversity of IdahoHagermanIdahoUSA
| | - Janet L. Loxterman
- Department of Biological SciencesIdaho State UniversityPocatelloIdahoUSA
| | | | | | - Travis Seaborn
- Department of Fish and Wildlife ResourcesUniversity of IdahoMoscowIdahoUSA
| | - Brandy Smith
- Department of Biological SciencesIdaho State UniversityPocatelloIdahoUSA
| | - Lisette P. Waits
- Department of Fish and Wildlife ResourcesUniversity of IdahoMoscowIdahoUSA
| | - Shawn R. Narum
- Columbia River Inter‐Tribal Fish CommissionHagermanIdahoUSA
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50
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Chen Y, Liu Z, Régnière J, Vasseur L, Lin J, Huang S, Ke F, Chen S, Li J, Huang J, Gurr GM, You M, You S. Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest. Nat Commun 2021; 12:7206. [PMID: 34893609 PMCID: PMC8664911 DOI: 10.1038/s41467-021-27510-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 11/22/2021] [Indexed: 12/15/2022] Open
Abstract
Understanding the genetic basis of climatic adaptation is essential for predicting species' responses to climate change. However, intraspecific variation of these responses arising from local adaptation remains ambiguous for most species. Here, we analyze genomic data from diamondback moth (Plutella xylostella) collected from 75 sites spanning six continents to reveal that climate-associated adaptive variation exhibits a roughly latitudinal pattern. By developing an eco-genetic index that combines genetic variation and physiological responses, we predict that most P. xylostella populations have high tolerance to projected future climates. Using genome editing, a key gene, PxCad, emerged from our analysis as functionally temperature responsive. Our results demonstrate that P. xylostella is largely capable of tolerating future climates in most of the world and will remain a global pest beyond 2050. This work improves our understanding of adaptive variation along environmental gradients, and advances pest forecasting by highlighting the genetic basis for local climate adaptation.
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Affiliation(s)
- Yanting Chen
- grid.256111.00000 0004 1760 2876State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002 China ,grid.419897.a0000 0004 0369 313XJoint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002 China ,Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou, 350002 China ,grid.418033.d0000 0001 2229 4212Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, 350013 China
| | - Zhaoxia Liu
- grid.256111.00000 0004 1760 2876State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002 China ,grid.419897.a0000 0004 0369 313XJoint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002 China ,Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou, 350002 China ,grid.449406.b0000 0004 1757 7252College of Oceanology and Food Science, Quanzhou Normal University, Quanzhou, 362000 China
| | - Jacques Régnière
- grid.146611.50000 0001 0775 5922Natural Resources Canada, Canadian Forest Service, Quebec City, QC G1V 4C7 Canada
| | - Liette Vasseur
- grid.256111.00000 0004 1760 2876State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002 China ,grid.419897.a0000 0004 0369 313XJoint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002 China ,grid.411793.90000 0004 1936 9318Department of Biological Sciences, Brock University, St. Catharines, ON L2S 3A1 Canada
| | - Jian Lin
- grid.256111.00000 0004 1760 2876College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002 China
| | - Shiguo Huang
- grid.256111.00000 0004 1760 2876College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002 China
| | - Fushi Ke
- grid.256111.00000 0004 1760 2876State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002 China ,grid.419897.a0000 0004 0369 313XJoint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002 China ,Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou, 350002 China ,grid.458495.10000 0001 1014 7864Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650 China
| | - Shaoping Chen
- grid.256111.00000 0004 1760 2876State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002 China ,grid.419897.a0000 0004 0369 313XJoint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002 China ,Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou, 350002 China ,grid.418033.d0000 0001 2229 4212Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, 350013 China
| | - Jianyu Li
- grid.256111.00000 0004 1760 2876State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002 China ,grid.419897.a0000 0004 0369 313XJoint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002 China ,Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou, 350002 China ,grid.418033.d0000 0001 2229 4212Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, 350013 China
| | - Jieling Huang
- grid.256111.00000 0004 1760 2876State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002 China ,grid.419897.a0000 0004 0369 313XJoint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002 China ,Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou, 350002 China
| | - Geoff M. Gurr
- grid.256111.00000 0004 1760 2876State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002 China ,grid.419897.a0000 0004 0369 313XJoint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002 China ,grid.1037.50000 0004 0368 0777Graham Centre, Charles Sturt University, Orange, NSW 2800 Australia
| | - Minsheng You
- State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. .,Joint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002, China. .,Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou, 350002, China.
| | - Shijun You
- State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. .,Joint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002, China. .,Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou, 350002, China.
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