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Jiang L, Guo T, Song X, Jiang H, Lu M, Luo J, Rossi V, He Y. MSH7 confers quantitative variation in pollen fertility and boosts grain yield in maize. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:1372-1386. [PMID: 38263872 PMCID: PMC11022798 DOI: 10.1111/pbi.14272] [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: 08/16/2023] [Revised: 11/15/2023] [Accepted: 12/08/2023] [Indexed: 01/25/2024]
Abstract
Fertile pollen is critical for the survival, fitness, and dispersal of flowering plants, and directly contributes to crop productivity. Extensive mutational screening studies have been carried out to dissect the genetic regulatory network determining pollen fertility, but we still lack fundamental knowledge about whether and how pollen fertility is controlled in natural populations. We used a genome-wide association study (GWAS) to show that ZmGEN1A and ZmMSH7, two DNA repair-related genes, confer natural variation in maize pollen fertility. Mutants defective in these genes exhibited abnormalities in meiotic or post-meiotic DNA repair, leading to reduced pollen fertility. More importantly, ZmMSH7 showed evidence of selection during maize domestication, and its disruption resulted in a substantial increase in grain yield for both inbred and hybrid. Overall, our study describes the first systematic examination of natural genetic effects on pollen fertility in plants, providing valuable genetic resources for optimizing male fertility. In addition, we find that ZmMSH7 represents a candidate for improvement of grain yield.
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Affiliation(s)
- Luguang Jiang
- National Maize Improvement Center of China, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Ting Guo
- Institute of Genetics and Developmental Biology, Key Laboratory of Seed InnovationChinese Academy of SciencesBeijingChina
| | - Xinyuan Song
- Jilin Provincial Key Laboratory of Agricultural Biotechnology, Agro‐Biotechnology Research InstituteJilin Academy of Agricultural SciencesChangchunChina
| | - Huan Jiang
- National Maize Improvement Center of China, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Minhui Lu
- Center for Crop Functional Genomics and Molecular BreedingChina Agricultural UniversityBeijingChina
| | - Jinhong Luo
- National Maize Improvement Center of China, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
- Institute of Genetics and Developmental Biology, Key Laboratory of Seed InnovationChinese Academy of SciencesBeijingChina
| | - Vincenzo Rossi
- Council for Agricultural Research and EconomicsResearch Centre for Cereal and Industrial CropsBergamoItaly
| | - Yan He
- National Maize Improvement Center of China, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
- Institute of Genetics and Developmental Biology, Key Laboratory of Seed InnovationChinese Academy of SciencesBeijingChina
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Wang T, Duan S, Xu C, Wang Y, Zhang X, Xu X, Chen L, Han Z, Wu T. Pan-genome analysis of 13 Malus accessions reveals structural and sequence variations associated with fruit traits. Nat Commun 2023; 14:7377. [PMID: 37968318 PMCID: PMC10651928 DOI: 10.1038/s41467-023-43270-7] [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: 01/19/2023] [Accepted: 11/06/2023] [Indexed: 11/17/2023] Open
Abstract
Structural variations (SVs) and copy number variations (CNVs) contribute to trait variations in fleshy-fruited species. Here, we assemble 10 genomes of genetically diverse Malus accessions, including the ever-green cultivar 'Granny Smith' and the widely cultivated cultivar 'Red Fuji'. Combining with three previously reported genomes, we assemble the pan-genome of Malus species and identify 20,220 CNVs and 317,393 SVs. We also observe CNVs that are positively correlated with expression levels of the genes they are associated with. Furthermore, we show that the noncoding RNA generated from a 209 bp insertion in the intron of mitogen-activated protein kinase homology encoding gene, MMK2, regulates the gene expression and affects fruit coloration. Moreover, we identify overlapping SVs associated with fruit quality and biotic resistance. This pan-genome uncovers possible contributions of CNVs to gene expression and highlights the role of SVs in apple domestication and economically important traits.
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Affiliation(s)
- Ting Wang
- College of Horticulture, China Agricultural University, Beijing, China
| | - Shiyao Duan
- Plant Science and Technology College, Beijing University of Agriculture, Beijing, China
| | - Chen Xu
- College of Horticulture, China Agricultural University, Beijing, China
| | - Yi Wang
- College of Horticulture, China Agricultural University, Beijing, China
| | - Xinzhong Zhang
- College of Horticulture, China Agricultural University, Beijing, China
| | - Xuefeng Xu
- College of Horticulture, China Agricultural University, Beijing, China
| | - Liyang Chen
- Smartgenomics Technology Institute, Tianjin, China
| | - Zhenhai Han
- College of Horticulture, China Agricultural University, Beijing, China.
| | - Ting Wu
- College of Horticulture, China Agricultural University, Beijing, China.
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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: 2] [Impact Index Per Article: 2.0] [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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Zhang X, Wang H, Yang M, Liu R, Zhang X, Jia Z, Li P. Natural variation in ZmNAC087 contributes to total root length regulation in maize seedlings under salt stress. BMC PLANT BIOLOGY 2023; 23:392. [PMID: 37580686 PMCID: PMC10424409 DOI: 10.1186/s12870-023-04393-7] [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: 04/14/2023] [Accepted: 07/31/2023] [Indexed: 08/16/2023]
Abstract
Soil salinity poses a significant challenge to crop growth and productivity, particularly affecting the root system, which is vital for water and nutrient uptake. To identify genetic factors that influence root elongation in stressful environments, we conducted a genome-wide association study (GWAS) to investigate the natural variation associated with total root length (TRL) under salt stress and normal conditions in maize seedlings. Our study identified 69 genetic variants associated with 38 candidate genes, among which a specific single nucleotide polymorphism (SNP) in ZmNAC087 was significantly associated with TRL under salt stress. Transient expression and transactivation assays revealed that ZmNAC087 encodes a nuclear-localized protein with transactivation activity. Further candidate gene association analysis showed that non-coding variations in ZmNAC087 promoter contribute to differential ZmNAC087 expression among maize inbred lines, potentially influencing the variation in salt-regulated TRL. In addition, through nucleotide diversity analysis, neutrality tests, and coalescent simulation, we demonstrated that ZmNAC087 underwent selection during maize domestication and improvement. These findings highlight the significance of natural variation in ZmNAC087, particularly the favorable allele, in maize salt tolerance, providing theoretical basis and valuable genetic resources for the development of salt-tolerant maize germplasm.
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Affiliation(s)
- Xiaomin Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Henan University, Kaifeng, 475004, China
- Sanya Institute, Henan University, Sanya, 572025, China
| | - Houmiao Wang
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China
| | - Mengling Yang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Runxiao Liu
- State Key Laboratory of Crop Stress Adaptation and Improvement, Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Xin Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Henan University, Kaifeng, 475004, China
| | - Zhongtao Jia
- State Key Laboratory of Nutrient Use and Management (SKL-NUM), College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China.
| | - Pengcheng Li
- Jiangsu Key Laboratory of Crop Genetics and Physiology, Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou, 225009, China.
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China.
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Wang X, Yuan D, Liu Y, Liang Y, He J, Yang X, Hang R, Jia H, Mo B, Tian F, Chen X, Liu L. INDETERMINATE1 autonomously regulates phosphate homeostasis upstream of the miR399-ZmPHO2 signaling module in maize. THE PLANT CELL 2023; 35:2208-2231. [PMID: 36943781 PMCID: PMC10226601 DOI: 10.1093/plcell/koad089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 02/23/2023] [Accepted: 02/25/2023] [Indexed: 05/30/2023]
Abstract
The macronutrient phosphorus is essential for plant growth and development. Plants have evolved multiple strategies to increase the efficiency of phosphate (Pi) acquisition to protect themselves from Pi starvation. However, the crosstalk between Pi homeostasis and plant development remains to be explored. Here, we report that overexpressing microRNA399 (miR399) in maize (Zea mays) is associated with premature senescence after pollination. Knockout of ZmPHO2 (Phosphate 2), a miR399 target, resulted in a similar premature senescence phenotype. Strikingly, we discovered that INDETERMINATE1 (ID1), a floral transition regulator, inhibits the transcription of ZmMIR399 genes by directly binding to their promoters, alleviating the repression of ZmPHO2 by miR399 and ultimately contributing to the maintenance of Pi homeostasis in maize. Unlike ZmMIR399 genes, whose expression is induced by Pi deficiency, ID1 expression was independent of the external inorganic orthophosphate status, indicating that ID1 is an autonomous regulator of Pi homeostasis. Furthermore, we show that ZmPHO2 was under selection during maize domestication and cultivation, resulting in a more sensitive response to Pi starvation in temperate maize than in tropical maize. Our study reveals a direct functional link between Pi-deprivation sensing by the miR399-ZmPHO2 regulatory module and plant developmental regulation by ID1.
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Affiliation(s)
- Xufeng Wang
- Guangdong Provincial Key Laboratory for Plant Epigenetics, Longhua Bioindustry and Innovation Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong 518060, China
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
- Department of Botany and Plant Sciences, Institute of Integrative Genome Biology, University of California, Riverside, CA 92521, USA
| | - Dan Yuan
- Guangdong Provincial Key Laboratory for Plant Epigenetics, Longhua Bioindustry and Innovation Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong 518060, China
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
| | - Yanchun Liu
- Guangdong Provincial Key Laboratory for Plant Epigenetics, Longhua Bioindustry and Innovation Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong 518060, China
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
| | - Yameng Liang
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Juan He
- Guangdong Provincial Key Laboratory for Plant Epigenetics, Longhua Bioindustry and Innovation Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong 518060, China
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
| | - Xiaoyu Yang
- Guangdong Provincial Key Laboratory for Plant Epigenetics, Longhua Bioindustry and Innovation Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong 518060, China
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Optoelectronic Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China
- College of Horticulture Science and Engineering, Shandong Agricultural University, Taian 271018, China
| | - Runlai Hang
- Department of Botany and Plant Sciences, Institute of Integrative Genome Biology, University of California, Riverside, CA 92521, USA
| | - Hong Jia
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Beixin Mo
- Guangdong Provincial Key Laboratory for Plant Epigenetics, Longhua Bioindustry and Innovation Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong 518060, China
| | - Feng Tian
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Xuemei Chen
- Department of Botany and Plant Sciences, Institute of Integrative Genome Biology, University of California, Riverside, CA 92521, USA
| | - Lin Liu
- Guangdong Provincial Key Laboratory for Plant Epigenetics, Longhua Bioindustry and Innovation Research Institute, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong 518060, China
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Kafkas S, Ma X, Zhang X, Topçu H, Navajas-Pérez R, Wai CM, Tang H, Xu X, Khodaeiaminjan M, Güney M, Paizila A, Karcı H, Zhang X, Lin J, Lin H, Herrán RDL, Rejón CR, García-Zea JA, Robles F, Muñoz CDV, Hotz-Wagenblatt A, Min XJ, Özkan H, Motalebipour EZ, Gozel H, Çoban N, Kafkas NE, Kilian A, Huang H, Lv X, Liu K, Hu Q, Jacygrad E, Palmer W, Michelmore R, Ming R. Pistachio genomes provide insights into nut tree domestication and ZW sex chromosome evolution. PLANT COMMUNICATIONS 2023; 4:100497. [PMID: 36435969 DOI: 10.1016/j.xplc.2022.100497] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 10/01/2022] [Accepted: 11/23/2022] [Indexed: 05/11/2023]
Abstract
Pistachio is a nut crop domesticated in the Fertile Crescent and a dioecious species with ZW sex chromosomes. We sequenced the genomes of Pistacia vera cultivar (cv.) Siirt, the female parent, and P. vera cv. Bagyolu, the male parent. Two chromosome-level reference genomes of pistachio were generated, and Z and W chromosomes were assembled. The ZW chromosomes originated from an autosome following the first inversion, which occurred approximately 8.18 Mya. Three inversion events in the W chromosome led to the formation of a 12.7-Mb (22.8% of the W chromosome) non-recombining region. These W-specific sequences contain several genes of interest that may have played a pivotal role in sex determination and contributed to the initiation and evolution of a ZW sex chromosome system in pistachio. The W-specific genes, including defA, defA-like, DYT1, two PTEN1, and two tandem duplications of six VPS13A paralogs, are strong candidates for sex determination or differentiation. Demographic history analysis of resequenced genomes suggest that cultivated pistachio underwent severe domestication bottlenecks approximately 7640 years ago, dating the domestication event close to the archeological record of pistachio domestication in Iran. We identified 390, 211, and 290 potential selective sweeps in 3 cultivar subgroups that underlie agronomic traits such as nut development and quality, grafting success, flowering time shift, and drought tolerance. These findings have improved our understanding of the genomic basis of sex determination/differentiation and horticulturally important traits and will accelerate the improvement of pistachio cultivars and rootstocks.
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Affiliation(s)
- Salih Kafkas
- Department of Horticulture, Faculty of Agriculture, University of Çukurova, Adana 01330, Turkey.
| | - Xiaokai Ma
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China; Key Laboratory of Orchid Conservation and Utilization of National Forestry and Grassland Administration, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xingtan Zhang
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hayat Topçu
- Department of Horticulture, Faculty of Agriculture, University of Çukurova, Adana 01330, Turkey
| | - Rafael Navajas-Pérez
- Departamento de Genética, Facultad de Ciencias, Campus de Fuentenueva s/n, 18071 Granada, Spain
| | - Ching Man Wai
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Haibao Tang
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xuming Xu
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China; Key Laboratory of the Ministry of Education for Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen 361102, China
| | - Mortaza Khodaeiaminjan
- Department of Horticulture, Faculty of Agriculture, University of Çukurova, Adana 01330, Turkey
| | - Murat Güney
- Department of Horticulture, Faculty of Agriculture, University of Çukurova, Adana 01330, Turkey
| | - Aibibula Paizila
- Department of Horticulture, Faculty of Agriculture, University of Çukurova, Adana 01330, Turkey
| | - Harun Karcı
- Department of Horticulture, Faculty of Agriculture, University of Çukurova, Adana 01330, Turkey
| | - Xiaodan Zhang
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Jing Lin
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Han Lin
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Roberto de la Herrán
- Departamento de Genética, Facultad de Ciencias, Campus de Fuentenueva s/n, 18071 Granada, Spain
| | - Carmelo Ruiz Rejón
- Departamento de Genética, Facultad de Ciencias, Campus de Fuentenueva s/n, 18071 Granada, Spain
| | | | - Francisca Robles
- Departamento de Genética, Facultad de Ciencias, Campus de Fuentenueva s/n, 18071 Granada, Spain
| | - Coral Del Val Muñoz
- Department of Computer Science, University of Granada, Granada, Spain; Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI Institute), 18014 Granada, Spain
| | - Agnes Hotz-Wagenblatt
- German Cancer Research Center, Omics IT and Data Management Core Facility, Heidelberg, Germany
| | - Xiangjia Jack Min
- Department of Biological Sciences, Youngstown State University, Youngstown, OH 44555, USA
| | - Hakan Özkan
- Department of Field Crops, Faculty of Agriculture, University of Çukurova, Adana 01330, Turkey
| | | | - Hatice Gozel
- Pistachio Research Institute, Şahinbey, Gaziantep 27060, Turkey
| | - Nergiz Çoban
- Pistachio Research Institute, Şahinbey, Gaziantep 27060, Turkey
| | - Nesibe Ebru Kafkas
- Department of Horticulture, Faculty of Agriculture, University of Çukurova, Adana 01330, Turkey
| | - Andrej Kilian
- Diversity Arrays Technology, University of Canberra, Canberra, ACT, Australia
| | - HuaXing Huang
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Xuanrui Lv
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Kunpeng Liu
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Qilin Hu
- Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, School of Future Technology, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Ewelina Jacygrad
- Genome Center, University of California Davis, 451 Health Sciences Drive, Davis, CA 95616, USA
| | - William Palmer
- Genome Center, University of California Davis, 451 Health Sciences Drive, Davis, CA 95616, USA
| | - Richard Michelmore
- Genome Center, University of California Davis, 451 Health Sciences Drive, Davis, CA 95616, USA
| | - Ray Ming
- Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
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Wang L, Xu J, Wang H, Chen T, You E, Bian H, Chen W, Zhang B, Shen Y. Population structure analysis and genome-wide association study of a hexaploid oat landrace and cultivar collection. FRONTIERS IN PLANT SCIENCE 2023; 14:1131751. [PMID: 37025134 PMCID: PMC10070682 DOI: 10.3389/fpls.2023.1131751] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 02/22/2023] [Indexed: 06/19/2023]
Abstract
INTRODUCTION Oat (Avena sativa L.) is an important cereal crop grown worldwide for grain and forage, owing to its high adaptability to diverse environments. However, the genetic and genomics research of oat is lagging behind that of other staple cereal crops. METHODS In this study, a collection of 288 oat lines originating worldwide was evaluated using 2,213 single nucleotide polymorphism (SNP) markers obtained from an oat iSelect 6K-beadchip array to study its genetic diversity, population structure, and linkage disequilibrium (LD) as well as the genotype-phenotype association for hullessness and lemma color. RESULTS The average gene diversity and polymorphic information content (PIC) were 0.324 and 0.262, respectively. The first three principal components (PCs) accounted for 30.33% of the genetic variation, indicating that the population structure of this panel of oat lines was stronger than that reported in most previous studies. In addition, accessions could be classified into two subpopulations using a Bayesian clustering approach, and the clustering pattern of accessions was closely associated with their region of origin. Additionally, evaluation of LD decay using 2,143 mapped markers revealed that the intrachromosomal whole-genome LD decayed rapidly to a critical r2 value of 0.156 for marker pairs separated by a genetic distance of 1.41 cM. Genome-wide association study (GWAS) detected six significant associations with the hullessness trait. Four of these six markers were located on the Mrg21 linkage group between 194.0 and 205.7 cM, while the other two significant markers mapped to Mrg05 and Mrg09. Three significant SNPs, showing strong association with lemma color, were located on linkage groups Mrg17, Mrg18, and Mrg20. DISCUSSION Our results discerned relevant patterns of genetic diversity, population structure, and LD among members of a worldwide collection of oat landraces and cultivars proposed to be 'typical' of the Qinghai-Tibetan Plateau. These results have important implications for further studies on association mapping and practical breeding in high-altitude oat.
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Affiliation(s)
- Lei Wang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Jinqing Xu
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Handong Wang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Tongrui Chen
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - En You
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Haiyan Bian
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
| | - Wenjie Chen
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Innovation Academy for Seed Design, Chinese Academy of Sciences, Xining, China
| | - Bo Zhang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Innovation Academy for Seed Design, Chinese Academy of Sciences, Xining, China
| | - Yuhu Shen
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Qinghai Provincial Key Laboratory of Crop Molecular Breeding, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Laboratory for Research and Utilization of Qinghai Tibetan Plateau Germplasm Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China
- Innovation Academy for Seed Design, Chinese Academy of Sciences, Xining, China
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8
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Chen L, Luo J, Jin M, Yang N, Liu X, Peng Y, Li W, Phillips A, Cameron B, Bernal JS, Rellán-Álvarez R, Sawers RJH, Liu Q, Yin Y, Ye X, Yan J, Zhang Q, Zhang X, Wu S, Gui S, Wei W, Wang Y, Luo Y, Jiang C, Deng M, Jin M, Jian L, Yu Y, Zhang M, Yang X, Hufford MB, Fernie AR, Warburton ML, Ross-Ibarra J, Yan J. Genome sequencing reveals evidence of adaptive variation in the genus Zea. Nat Genet 2022; 54:1736-1745. [PMID: 36266506 DOI: 10.1038/s41588-022-01184-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 08/10/2022] [Indexed: 11/09/2022]
Abstract
Maize is a globally valuable commodity and one of the most extensively studied genetic model organisms. However, we know surprisingly little about the extent and potential utility of the genetic variation found in wild relatives of maize. Here, we characterize a high-density genomic variation map from 744 genomes encompassing maize and all wild taxa of the genus Zea, identifying over 70 million single-nucleotide polymorphisms. The variation map reveals evidence of selection within taxa displaying novel adaptations. We focus on adaptive alleles in highland teosinte and temperate maize, highlighting the key role of flowering-time-related pathways in their adaptation. To show the utility of variants in these data, we generate mutant alleles for two flowering-time candidate genes. This work provides an extensive sampling of the genetic diversity of Zea, resolving questions on evolution and identifying adaptive variants for direct use in modern breeding.
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Affiliation(s)
- Lu Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.,State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Jingyun Luo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Minliang Jin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Ning Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. .,Hubei Hongshan Laboratory, Wuhan, China.
| | - Xiangguo Liu
- Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Yong Peng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Wenqiang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Alyssa Phillips
- Center for Population Biology, University of California Davis, Davis, CA, USA.,Department of Evolution and Ecology, University of California Davis, Davis, CA, USA
| | - Brenda Cameron
- Department of Evolution and Ecology, University of California Davis, Davis, CA, USA
| | - Julio S Bernal
- Department of Entomology, Texas A&M University, College Station, TX, USA
| | - Rubén Rellán-Álvarez
- Department of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, USA
| | - Ruairidh J H Sawers
- Department of Plant Science, The Pennsylvania State University, State College, PA, USA
| | - Qing Liu
- Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Yuejia Yin
- Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Xinnan Ye
- Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun, China
| | - Jiali Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Qinghua Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xiaoting Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Shenshen Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Songtao Gui
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Wenjie Wei
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Yuebin Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Yun Luo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Chenglin Jiang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Min Deng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Min Jin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Liumei Jian
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Yanhui Yu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Maolin Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Xiaohong Yang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, China
| | - Matthew B Hufford
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA
| | - Alisdair R Fernie
- Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Marilyn L Warburton
- United States Department of Agriculture-Agricultural Research Service: Western Regional Plant Introduction Station, Washington State University, Pullman, WA, USA
| | - Jeffrey Ross-Ibarra
- Department of Evolution and Ecology, Center for Population Biology, Genome Center, University of California Davis, Davis, CA, USA.
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. .,Hubei Hongshan Laboratory, Wuhan, China.
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9
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Pan-mitogenomics reveals the genetic basis of cytonuclear conflicts in citrus hybridization, domestication, and diversification. Proc Natl Acad Sci U S A 2022; 119:e2206076119. [PMID: 36260744 PMCID: PMC9618123 DOI: 10.1073/pnas.2206076119] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Although interactions between the cytoplasmic and nuclear genomes occurred during diversification of many plants, the evolutionary conflicts due to cytonuclear interactions are poorly understood in crop breeding. Here, we constructed a pan-mitogenome and identified chimeric open reading frames (ORFs) generated by extensive structural variations (SVs). Meanwhile, short reads from 184 accessions of citrus species were combined to construct three variation maps for the nuclear, mitochondrial, and chloroplast genomes. The population genomic data showed discordant topologies between the cytoplasmic and nuclear genomes because of differences in mutation rates and levels of heteroplasmy from paternal leakage. An analysis of species-specific SVs indicated that mitochondrial heteroplasmy was common and that chloroplast heteroplasmy was undetectable. Interestingly, we found a prominent divergence in the mitogenomes and the highest genetic load in the, which may provide the basis for cytoplasmic male sterility (CMS) and thus influence the reshuffling of the cytoplasmic and nuclear genomes during hybridization. Using cytoplasmic replacement experiments, we identified a type of species-specific CMS in mandarin related to two chimeric mitochondrial genes. Our analyses indicate that cytoplasmic genomes from mandarin have rarely been maintained in hybrids and that paternal leakage produced very low levels of mitochondrial heteroplasmy in mandarin. A genome-wide association study (GWAS) provided evidence for three nuclear genes that encode pentatricopeptide repeat (PPR) proteins contributing to the cytonuclear interactions in the Citrus genus. Our study demonstrates the occurrence of evolutionary conflicts between cytoplasmic and nuclear genomes in citrus and has important implications for genetics and breeding.
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10
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Pangenomics and Crop Genome Adaptation in a Changing Climate. PLANTS 2022; 11:plants11151949. [PMID: 35956427 PMCID: PMC9370458 DOI: 10.3390/plants11151949] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/18/2022] [Accepted: 07/19/2022] [Indexed: 12/15/2022]
Abstract
During crop domestication and breeding, wild plant species have been shaped into modern high-yield crops and adapted to the main agro-ecological regions. However, climate change will impact crop productivity in these regions, and agriculture needs to adapt to support future food production. On a global scale, crop wild relatives grow in more diverse environments than crop species, and so may host genes that could support the adaptation of crops to new and variable environments. Through identification of individuals with increased climate resilience we may gain a greater understanding of the genomic basis for this resilience and transfer this to crops. Pangenome analysis can help to identify the genes underlying stress responses in individuals harbouring untapped genomic diversity in crop wild relatives. The information gained from the analysis of these pangenomes can then be applied towards breeding climate resilience into existing crops or to re-domesticating crops, combining environmental adaptation traits with crop productivity.
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11
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Ding YM, Cao Y, Zhang WP, Chen J, Liu J, Li P, Renner SS, Zhang DY, Bai WN. Population-genomic analyses reveal bottlenecks and asymmetric introgression from Persian into iron walnut during domestication. Genome Biol 2022; 23:145. [PMID: 35787713 PMCID: PMC9254524 DOI: 10.1186/s13059-022-02720-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/25/2022] [Indexed: 12/05/2022] Open
Abstract
Background Persian walnut, Juglans regia, occurs naturally from Greece to western China, while its closest relative, the iron walnut, Juglans sigillata, is endemic in southwest China; both species are cultivated for their nuts and wood. Here, we infer their demographic histories and the time and direction of possible hybridization and introgression between them. Results We use whole-genome resequencing data, different population-genetic approaches (PSMC and GONE), and isolation-with-migration models (IMa3) on individuals from Europe, Iran, Kazakhstan, Pakistan, and China. IMa3 analyses indicate that the two species diverged from each other by 0.85 million years ago, with unidirectional gene flow from eastern J. regia and its ancestor into J. sigillata, including the shell-thickness gene. Within J. regia, a western group, located from Europe to Iran, and an eastern group with individuals from northern China, experienced dramatically declining population sizes about 80 generations ago (roughly 2400 to 4000 years), followed by an expansion at about 40 generations, while J. sigillata had a constant population size from about 100 to 20 generations ago, followed by a rapid decline. Conclusions Both J. regia and J. sigillata appear to have suffered sudden population declines during their domestication, suggesting that the bottleneck scenario of plant domestication may well apply in at least some perennial crop species. Introgression from introduced J. regia appears to have played a role in the domestication of J. sigillata. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02720-z.
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Affiliation(s)
- Ya-Mei Ding
- State Key Laboratory of Earth Surface Processes and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China
| | - Yu Cao
- State Key Laboratory of Earth Surface Processes and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China
| | - Wei-Ping Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China
| | - Jun Chen
- State Key Laboratory of Earth Surface Processes and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China.,China National Botanical Garden, Beijing, 100093, China
| | - Jie Liu
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
| | - Pan Li
- The Key Laboratory of Conservation Biology for Endangered Wildlife of the Ministry of Education, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Susanne S Renner
- Department of Biology, Washington University, Saint Louis, MO, 63130, USA.
| | - Da-Yong Zhang
- State Key Laboratory of Earth Surface Processes and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China.
| | - Wei-Ning Bai
- State Key Laboratory of Earth Surface Processes and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China.
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12
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Griffiths M, Delory BM, Jawahir V, Wong KM, Bagnall GC, Dowd TG, Nusinow DA, Miller AJ, Topp CN. Optimisation of root traits to provide enhanced ecosystem services in agricultural systems: A focus on cover crops. PLANT, CELL & ENVIRONMENT 2022; 45:751-770. [PMID: 34914117 PMCID: PMC9306666 DOI: 10.1111/pce.14247] [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: 06/30/2021] [Revised: 11/05/2021] [Accepted: 12/01/2021] [Indexed: 05/26/2023]
Abstract
Roots are the interface between the plant and the soil and play a central role in multiple ecosystem processes. With intensification of agricultural practices, rhizosphere processes are being disrupted and are causing degradation of the physical, chemical and biotic properties of soil. However, cover crops, a group of plants that provide ecosystem services, can be utilised during fallow periods or used as an intercrop to restore soil health. The effectiveness of ecosystem services provided by cover crops varies widely as very little breeding has occurred in these species. Improvement of ecosystem service performance is rarely considered as a breeding trait due to the complexities and challenges of belowground evaluation. Advancements in root phenotyping and genetic tools are critical in accelerating ecosystem service improvement in cover crops. In this study, we provide an overview of the range of belowground ecosystem services provided by cover crop roots: (1) soil structural remediation, (2) capture of soil resources and (3) maintenance of the rhizosphere and building of organic matter content. Based on the ecosystem services described, we outline current and promising phenotyping technologies and breeding strategies in cover crops that can enhance agricultural sustainability through improvement of root traits.
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Affiliation(s)
| | | | | | - Kong M. Wong
- Donald Danforth Plant Science CenterSt. LouisMissouriUSA
| | | | - Tyler G. Dowd
- Donald Danforth Plant Science CenterSt. LouisMissouriUSA
| | | | - Allison J. Miller
- Donald Danforth Plant Science CenterSt. LouisMissouriUSA
- Department of BiologySaint Louis UniversitySt. LouisMissouriUSA
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13
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Samayoa LF, Olukolu BA, Yang CJ, Chen Q, Stetter MG, York AM, Sanchez-Gonzalez JDJ, Glaubitz JC, Bradbury PJ, Romay MC, Sun Q, Yang J, Ross-Ibarra J, Buckler ES, Doebley JF, Holland JB. Domestication reshaped the genetic basis of inbreeding depression in a maize landrace compared to its wild relative, teosinte. PLoS Genet 2021; 17:e1009797. [PMID: 34928949 PMCID: PMC8722731 DOI: 10.1371/journal.pgen.1009797] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 01/03/2022] [Accepted: 12/03/2021] [Indexed: 12/29/2022] Open
Abstract
Inbreeding depression is the reduction in fitness and vigor resulting from mating of close relatives observed in many plant and animal species. The extent to which the genetic load of mutations contributing to inbreeding depression is due to large-effect mutations versus variants with very small individual effects is unknown and may be affected by population history. We compared the effects of outcrossing and self-fertilization on 18 traits in a landrace population of maize, which underwent a population bottleneck during domestication, and a neighboring population of its wild relative teosinte. Inbreeding depression was greater in maize than teosinte for 15 of 18 traits, congruent with the greater segregating genetic load in the maize population that we predicted from sequence data. Parental breeding values were highly consistent between outcross and selfed offspring, indicating that additive effects determine most of the genetic value even in the presence of strong inbreeding depression. We developed a novel linkage scan to identify quantitative trait loci (QTL) representing large-effect rare variants carried by only a single parent, which were more important in teosinte than maize. Teosinte also carried more putative juvenile-acting lethal variants identified by segregation distortion. These results suggest a mixture of mostly polygenic, small-effect partially recessive effects in linkage disequilibrium underlying inbreeding depression, with an additional contribution from rare larger-effect variants that was more important in teosinte but depleted in maize following the domestication bottleneck. Purging associated with the maize domestication bottleneck may have selected against some large effect variants, but polygenic load is harder to purge and overall segregating mutational burden increased in maize compared to teosinte. Inbreeding depression is the reduction in fitness and vigor resulting from mating of close relatives observed in many plant and animal species. Mating of close relatives increases the probability that an individual inherits two non-functioning mutations at the same gene, resulting in lower fitness of such matings. We do not know the extent to which inbreeding depression is due to mutations with large-effects versus small-effect polygenic variants. We compared the effects of outcrossing and self-fertilization on 18 traits in a landrace population of maize, which underwent a population bottleneck during domestication, and a neighboring population of its wild relative teosinte. Inbreeding depression was greater in maize than teosinte for 15 of 18 traits and we found that this was consistent with higher predicted ‘genetic load’ in maize based solely on the evolutionary conservation of the sequence variants observed in the population. We also mapped genome positions associated with inbreeding depression, identifying more and larger-effect genetic variants in teosinte than maize. These results suggest that during domestication, some of the rare large-effect variants in teosinte were bred out, but many genetic variants of small effects on inbreeding depression increased in frequency maize.
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Affiliation(s)
- Luis Fernando Samayoa
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, United States of America
| | - Bode A. Olukolu
- Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, Tennessee, United States of America
| | - Chin Jian Yang
- Laboratory of Genetics, University of Wisconsin–Madison, Madison, Wisconsin, United States of America
| | - Qiuyue Chen
- Laboratory of Genetics, University of Wisconsin–Madison, Madison, Wisconsin, United States of America
| | - Markus G. Stetter
- Institute for Plant Sciences and Center of Excellence on Plant Sciences, University of Cologne, Cologne, Germany
| | - Alessandra M. York
- Laboratory of Genetics, University of Wisconsin–Madison, Madison, Wisconsin, United States of America
| | | | - Jeffrey C. Glaubitz
- Institute of Biotechnology, Cornell University, Ithaca, New York, United States of America
| | - Peter J. Bradbury
- US Department of Agriculture–Agricultural Research Service, Cornell University, Ithaca, New York, United States of America
| | - Maria Cinta Romay
- Institute of Biotechnology, Cornell University, Ithaca, New York, United States of America
| | - Qi Sun
- Institute of Biotechnology, Cornell University, Ithaca, New York, United States of America
| | - Jinliang Yang
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America
| | - Jeffrey Ross-Ibarra
- Department of Evolution and Ecology, Center for Population Biology, and Genome Center, University of California, Davis, California, United States of America
| | - Edward S. Buckler
- US Department of Agriculture–Agricultural Research Service, Cornell University, Ithaca, New York, United States of America
| | - John F. Doebley
- Laboratory of Genetics, University of Wisconsin–Madison, Madison, Wisconsin, United States of America
| | - James B. Holland
- Department of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, United States of America
- United States Department of Agriculture–Agriculture Research Service, Raleigh, North Carolina, United States of America
- * E-mail:
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14
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Homogenized Phylogeographic Structure across the Indo-Burma Ranges of a Large Monoecious Fig, Ficus altissima Blume. DIVERSITY 2021. [DOI: 10.3390/d13120654] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
As well as bountiful natural resources, the Indo-Burma biodiversity hotspot features high rates of habitat destruction and fragmentation due to increasing human activity; however, most of the Indo-Burma species are poorly studied. The exploration of plants closely associated with human activity will further assist us to understand our influence in the context of the ongoing extinction events in the Anthropocene. This study, based on widely and intensively sampled F. altissima across Indo-Burma and the adjacent south China ranges, using both the chloroplast psbA-trnH spacer and sixteen newly developed nuclear microsatellite markers (nSSRs), aims to explore its spatial genetic structure. The results indicated low chloroplast haplotype diversity and a moderate level of nuclear genetic diversity. Although limited seed flow was revealed by psbA-trnH, no discernible phylogeographic structure was shown due to the low resolution of cpDNA markers and dominance of an ancestral haplotype. From the nSSRs data set, phylogeographic structure was homogenized, most likely due to extensive pollen flow mediated by pollinating fig wasps. Additionally, human cultivation and human-mediated transplanting further confounded the analyses of population structure. No geographic barriers are evident across the large study range, with F. altissima constituting a single population, and extensive human cultivation is likely to have had beneficial consequences for protecting the genetic diversity of F. altissima.
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15
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Burban E, Tenaillon MI, Le Rouzic A. Gene network simulations provide testable predictions for the molecular domestication syndrome. Genetics 2021; 220:6440055. [PMID: 34849852 DOI: 10.1093/genetics/iyab214] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 11/15/2021] [Indexed: 11/14/2022] Open
Abstract
The domestication of plant species lead to repeatable morphological evolution, often referred to as the phenotypic domestication syndrome. Domestication is also associated with important genomic changes, such as the loss of genetic diversity compared to adequately large wild populations, and modifications of gene expression patterns. Here, we explored theoretically the effect of a domestication-like scenario on the evolution of gene regulatory networks. We ran population genetics simulations in which individuals were featured by their genotype (an interaction matrix encoding a gene regulatory network) and their gene expressions, representing the phenotypic level. Our domestication scenario included a population bottleneck and a selection switch mimicking human-mediated directional and canalizing selection, i.e., change in the optimal gene expression level and selection towards more stable expression across environments. We showed that domestication profoundly alters genetic architectures. Based on four examples of plant domestication scenarios, our simulations predict (i) a drop in neutral allelic diversity, (ii) a change in gene expression variance that depends upon the domestication scenario, (iii) transient maladaptive plasticity, (iv) a deep rewiring of the gene regulatory networks, with a trend towards gain of regulatory interactions, and (v) a global increase in the genetic correlations among gene expressions, with a loss of modularity in the resulting coexpression patterns and in the underlying networks. We provide empirically testable predictions on the differences of genetic architectures between wild and domesticated forms. The characterization of such systematic evolutionary changes in the genetic architecture of traits contributes to define a molecular domestication syndrome.
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Affiliation(s)
- Ewen Burban
- Université Paris-Saclay, CNRS, IRD, UMR Évolution, Génomes, Comportement et Écologie, 91198, Gif-sur-Yvette, France.,CNRS, Univ. Rennes, ECOBIO-UMR 6553, F-35000 Rennes, France
| | - Maud I Tenaillon
- Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE-Le Moulon, 91190, Gif-sur-Yvette, France
| | - Arnaud Le Rouzic
- Université Paris-Saclay, CNRS, IRD, UMR Évolution, Génomes, Comportement et Écologie, 91198, Gif-sur-Yvette, France
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16
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An ethylene biosynthesis enzyme controls quantitative variation in maize ear length and kernel yield. Nat Commun 2021; 12:5832. [PMID: 34611160 PMCID: PMC8492687 DOI: 10.1038/s41467-021-26123-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 09/14/2021] [Indexed: 02/05/2023] Open
Abstract
Maize ear size and kernel number differ among lines, however, little is known about the molecular basis of ear length and its impact on kernel number. Here, we characterize a quantitative trait locus, qEL7, to identify a maize gene controlling ear length, flower number and fertility. qEL7 encodes 1-aminocyclopropane-1- carboxylate oxidase2 (ACO2), a gene that functions in the final step of ethylene biosynthesis and is expressed in specific domains in developing inflorescences. Confirmation of qEL7 by gene editing of ZmACO2 leads to a reduction in ethylene production in developing ears, and promotes meristem and flower development, resulting in a ~13.4% increase in grain yield per ear in hybrids lines. Our findings suggest that ethylene serves as a key signal in inflorescence development, affecting spikelet number, floral fertility, ear length and kernel number, and also provide a tool to improve grain productivity by optimizing ethylene levels in maize or in other cereals. Considerable genetic variation exists in maize ear size and kernel number. Here the authors show that variation in a gene encoding an ethylene biosynthetic enzyme impacts ear length, flower fertility and kernel yield suggesting an important role for ethylene signaling during inflorescence development.
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17
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Hufford MB, Seetharam AS, Woodhouse MR, Chougule KM, Ou S, Liu J, Ricci WA, Guo T, Olson A, Qiu Y, Della Coletta R, Tittes S, Hudson AI, Marand AP, Wei S, Lu Z, Wang B, Tello-Ruiz MK, Piri RD, Wang N, Kim DW, Zeng Y, O'Connor CH, Li X, Gilbert AM, Baggs E, Krasileva KV, Portwood JL, Cannon EKS, Andorf CM, Manchanda N, Snodgrass SJ, Hufnagel DE, Jiang Q, Pedersen S, Syring ML, Kudrna DA, Llaca V, Fengler K, Schmitz RJ, Ross-Ibarra J, Yu J, Gent JI, Hirsch CN, Ware D, Dawe RK. De novo assembly, annotation, and comparative analysis of 26 diverse maize genomes. Science 2021; 373:655-662. [PMID: 34353948 PMCID: PMC8733867 DOI: 10.1126/science.abg5289] [Citation(s) in RCA: 201] [Impact Index Per Article: 67.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 06/24/2021] [Indexed: 12/24/2022]
Abstract
We report de novo genome assemblies, transcriptomes, annotations, and methylomes for the 26 inbreds that serve as the founders for the maize nested association mapping population. The number of pan-genes in these diverse genomes exceeds 103,000, with approximately a third found across all genotypes. The results demonstrate that the ancient tetraploid character of maize continues to degrade by fractionation to the present day. Excellent contiguity over repeat arrays and complete annotation of centromeres revealed additional variation in major cytological landmarks. We show that combining structural variation with single-nucleotide polymorphisms can improve the power of quantitative mapping studies. We also document variation at the level of DNA methylation and demonstrate that unmethylated regions are enriched for cis-regulatory elements that contribute to phenotypic variation.
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Affiliation(s)
- Matthew B Hufford
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - Arun S Seetharam
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
- Genome Informatics Facility, Iowa State University, Ames, IA 50011, USA
| | - Margaret R Woodhouse
- USDA-ARS Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA
| | | | - Shujun Ou
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - Jianing Liu
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
| | - William A Ricci
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - Tingting Guo
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | - Andrew Olson
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Yinjie Qiu
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| | - Rafael Della Coletta
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| | - Silas Tittes
- Center for Population Biology, University of California, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
| | - Asher I Hudson
- Center for Population Biology, University of California, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
| | | | - Sharon Wei
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Zhenyuan Lu
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Bo Wang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | | | - Rebecca D Piri
- Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA
| | - Na Wang
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - Dong Won Kim
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - Yibing Zeng
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
| | - Christine H O'Connor
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN 55108, USA
| | - Xianran Li
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | - Amanda M Gilbert
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| | - Erin Baggs
- Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA
| | - Ksenia V Krasileva
- Department of Plant and Microbial Biology, University of California, Berkeley, CA 94720, USA
| | - John L Portwood
- USDA-ARS Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA
| | - Ethalinda K S Cannon
- USDA-ARS Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA
| | - Carson M Andorf
- USDA-ARS Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA
| | - Nancy Manchanda
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - Samantha J Snodgrass
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - David E Hufnagel
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
- Virus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, IA, 50010, USA
| | - Qiuhan Jiang
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - Sarah Pedersen
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - Michael L Syring
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - David A Kudrna
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | | | | | - Robert J Schmitz
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
| | - Jeffrey Ross-Ibarra
- Center for Population Biology, University of California, Davis, CA 95616, USA
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
| | - Jianming Yu
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | - Jonathan I Gent
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - Candice N Hirsch
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA
| | - Doreen Ware
- USDA-ARS NAA Robert W. Holley Center for Agriculture and Health, Agricultural Research Service, Ithaca, NY 14853, USA
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - R Kelly Dawe
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA.
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18
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Lovell JT, Bentley NB, Bhattarai G, Jenkins JW, Sreedasyam A, Alarcon Y, Bock C, Boston LB, Carlson J, Cervantes K, Clermont K, Duke S, Krom N, Kubenka K, Mamidi S, Mattison CP, Monteros MJ, Pisani C, Plott C, Rajasekar S, Rhein HS, Rohla C, Song M, Hilaire RS, Shu S, Wells L, Webber J, Heerema RJ, Klein PE, Conner P, Wang X, Grauke LJ, Grimwood J, Schmutz J, Randall JJ. Four chromosome scale genomes and a pan-genome annotation to accelerate pecan tree breeding. Nat Commun 2021; 12:4125. [PMID: 34226565 PMCID: PMC8257795 DOI: 10.1038/s41467-021-24328-w] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 06/07/2021] [Indexed: 02/06/2023] Open
Abstract
Genome-enabled biotechnologies have the potential to accelerate breeding efforts in long-lived perennial crop species. Despite the transformative potential of molecular tools in pecan and other outcrossing tree species, highly heterozygous genomes, significant presence-absence gene content variation, and histories of interspecific hybridization have constrained breeding efforts. To overcome these challenges, here, we present diploid genome assemblies and annotations of four outbred pecan genotypes, including a PacBio HiFi chromosome-scale assembly of both haplotypes of the 'Pawnee' cultivar. Comparative analysis and pan-genome integration reveal substantial and likely adaptive interspecific genomic introgressions, including an over-retained haplotype introgressed from bitternut hickory into pecan breeding pedigrees. Further, by leveraging our pan-genome presence-absence and functional annotation database among genomes and within the two outbred haplotypes of the 'Lakota' genome, we identify candidate genes for pest and pathogen resistance. Combined, these analyses and resources highlight significant progress towards functional and quantitative genomics in highly diverse and outbred crops.
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Affiliation(s)
- John T. Lovell
- grid.417691.c0000 0004 0408 3720Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | - Nolan B. Bentley
- grid.264756.40000 0004 4687 2082Department of Horticultural Science, Texas A&M University, College Station, TX USA
| | - Gaurab Bhattarai
- grid.213876.90000 0004 1936 738XInstitute of Plant Breeding, Genetics & Genomics, University of Georgia, Athens, GA USA
| | - Jerry W. Jenkins
- grid.417691.c0000 0004 0408 3720Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | - Avinash Sreedasyam
- grid.417691.c0000 0004 0408 3720Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | - Yanina Alarcon
- grid.419447.b0000 0004 0370 5663Noble Research Institute, Ardmore, OK USA
| | - Clive Bock
- USDA Southeastern Fruit and Tree Nut Research Laboratory, Byron, GA USA
| | - Lori Beth Boston
- grid.417691.c0000 0004 0408 3720Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | - Joseph Carlson
- grid.451309.a0000 0004 0449 479XDOE Joint Genome Institute, Berkeley, CA USA
| | - Kimberly Cervantes
- grid.24805.3b0000 0001 0687 2182Department of Entomology, Plant Pathology and Weed Science, New Mexico State University, Las Cruces, NM USA
| | - Kristen Clermont
- grid.507314.4USDA-ARS Food Processing and Sensory Quality Research, New Orleans, LA USA
| | - Sara Duke
- USDA-ARS Plains Area Administrative Office, College Station, TX USA
| | - Nick Krom
- grid.419447.b0000 0004 0370 5663Noble Research Institute, Ardmore, OK USA
| | - Keith Kubenka
- USDA Pecan Breeding and Genetics, College Station, TX USA
| | - Sujan Mamidi
- grid.417691.c0000 0004 0408 3720Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | | | - Maria J. Monteros
- grid.419447.b0000 0004 0370 5663Noble Research Institute, Ardmore, OK USA
| | - Cristina Pisani
- USDA Southeastern Fruit and Tree Nut Research Laboratory, Byron, GA USA
| | - Christopher Plott
- grid.417691.c0000 0004 0408 3720Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | - Shanmugam Rajasekar
- grid.134563.60000 0001 2168 186XArizona Genomics Institute, University of Arizona, Tucson, AZ USA
| | - Hormat Shadgou Rhein
- grid.24805.3b0000 0001 0687 2182Department of Entomology, Plant Pathology and Weed Science, New Mexico State University, Las Cruces, NM USA
| | - Charles Rohla
- grid.419447.b0000 0004 0370 5663Noble Research Institute, Ardmore, OK USA
| | - Mingzhou Song
- grid.24805.3b0000 0001 0687 2182Department of Computer Science, New Mexico State University, Las Cruces, NM USA
| | - Rolston St. Hilaire
- grid.24805.3b0000 0001 0687 2182Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM USA
| | - Shengqiang Shu
- grid.451309.a0000 0004 0449 479XDOE Joint Genome Institute, Berkeley, CA USA
| | - Lenny Wells
- grid.213876.90000 0004 1936 738XDepartment of Horticulture, University of Georgia-Tifton Campus, Tifton, GA USA
| | - Jenell Webber
- grid.417691.c0000 0004 0408 3720Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | - Richard J. Heerema
- grid.24805.3b0000 0001 0687 2182Department of Computer Science, New Mexico State University, Las Cruces, NM USA
| | - Patricia E. Klein
- grid.264756.40000 0004 4687 2082Department of Horticultural Science, Texas A&M University, College Station, TX USA
| | - Patrick Conner
- grid.213876.90000 0004 1936 738XDepartment of Horticulture, University of Georgia-Tifton Campus, Tifton, GA USA
| | - Xinwang Wang
- USDA Pecan Breeding and Genetics, College Station, TX USA
| | - L. J. Grauke
- USDA Pecan Breeding and Genetics, College Station, TX USA
| | - Jane Grimwood
- grid.417691.c0000 0004 0408 3720Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | - Jeremy Schmutz
- grid.417691.c0000 0004 0408 3720Genome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL USA ,grid.451309.a0000 0004 0449 479XDOE Joint Genome Institute, Berkeley, CA USA
| | - Jennifer J. Randall
- grid.24805.3b0000 0001 0687 2182Department of Entomology, Plant Pathology and Weed Science, New Mexico State University, Las Cruces, NM USA
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19
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Strijk JS, Hinsinger DD, Roeder MM, Chatrou LW, Couvreur TLP, Erkens RHJ, Sauquet H, Pirie MD, Thomas DC, Cao K. Chromosome-level reference genome of the soursop (Annona muricata): A new resource for Magnoliid research and tropical pomology. Mol Ecol Resour 2021; 21:1608-1619. [PMID: 33569882 PMCID: PMC8251617 DOI: 10.1111/1755-0998.13353] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 02/05/2021] [Accepted: 02/08/2021] [Indexed: 11/27/2022]
Abstract
The flowering plant family Annonaceae includes important commercially grown tropical crops, but development of promising species is hindered by a lack of genomic resources to build breeding programs. Annonaceae are part of the magnoliids, an ancient lineage of angiosperms for which evolutionary relationships with other major clades remain unclear. To provide resources to breeders and evolutionary researchers, we report a chromosome-level genome assembly of the soursop (Annona muricata). We assembled the genome using 444.32 Gb of DNA sequences (676× sequencing depth) from PacBio and Illumina short-reads, in combination with 10× Genomics and Bionano data (v1). A total of 949 scaffolds were assembled to a final size of 656.77 Mb, with a scaffold N50 of 3.43 Mb (v1), and then further improved to seven pseudo-chromosomes using Hi-C sequencing data (v2; scaffold N50: 93.2 Mb, total size in chromosomes: 639.6 Mb). Heterozygosity was very low (0.06%), while repeat sequences accounted for 54.87% of the genome, and 23,375 protein-coding genes with an average of 4.79 exons per gene were annotated using de novo, RNA-seq and homology-based approaches. Reconstruction of the historical population size showed a slow continuous contraction, probably related to Cenozoic climate changes. The soursop is the first genome assembled in Annonaceae, supporting further studies of floral evolution in magnoliids, providing an essential resource for delineating relationships of ancient angiosperm lineages. Both genome-assisted improvement and conservation efforts will be strengthened by the availability of the soursop genome. As a community resource, this assembly will further strengthen the role of Annonaceae as model species for research on the ecology, evolution and domestication potential of tropical species in pomology and agroforestry.
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Affiliation(s)
- Joeri S. Strijk
- Institute for Biodiversity and Environmental ResearchUniversiti Brunei DarussalamJalan Tungku LinkBrunei Darussalam
- Alliance for Conservation Tree GenomicsPha Tad Ke Botanical GardenLuang PrabangLaos
- Guangxi Key Laboratory of Forest Ecology and ConservationBiodiversity Genomics TeamNanningGuangxiChina
| | - Damien D. Hinsinger
- Alliance for Conservation Tree GenomicsPha Tad Ke Botanical GardenLuang PrabangLaos
- Génomique Métabolique, GenoscopeInstitut de Biologie François JacobCommissariat à l′Énergie Atomique (CEA), CNRSUniversité ÉvryUniversité Paris‐SaclayÉvryFrance
| | - Mareike M. Roeder
- Community Ecology and Conservation GroupXishuangbanna Tropical Botanical GardenChinese Academy of SciencesMenglun, MenglaYunnanChina
- AueninstitutInstitute for Geography and GeoecologyKarlsruhe Institute of TechnologyRastattGermany
| | - Lars W. Chatrou
- Systematic and Evolutionary Botany LaboratoryGhent UniversityGhentBelgium
| | | | - Roy H. J. Erkens
- Maastricht Science ProgrammeMaastricht UniversityMaastrichtThe Netherlands
| | - Hervé Sauquet
- National Herbarium of New South Wales (NSW)Royal Botanic Gardens and Domain TrustSydneyNSWAustralia
| | - Michael D. Pirie
- Department of Natural HistoryUniversity MuseumUniversity of BergenBergenNorway
| | | | - Kunfang Cao
- State Key Laboratory for Conservation and Utilization of Subtropical Agro‐bioresourcesGuangxi UniversityNanningGuangxiChina
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20
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Zhou C, Feng Y, Li G, Wang M, Jian J, Wang Y, Zhang W, Song Z, Li L, Lu B, Yang J. The New Is Old: Novel Germination Strategy Evolved From Standing Genetic Variation in Weedy Rice. FRONTIERS IN PLANT SCIENCE 2021; 12:699464. [PMID: 34234803 PMCID: PMC8256273 DOI: 10.3389/fpls.2021.699464] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 05/28/2021] [Indexed: 06/01/2023]
Abstract
Feralization of crop plants has aroused an increasing interest in recent years, not only for the reduced yield and quality of crop production caused by feral plants but also for the rapid evolution of novel traits that facilitate the evolution and persistence of weedy forms. Weedy rice (Oryza sativa f. spontanea) is a conspecific weed of cultivated rice, with separate and independent origins. The weedy rice distributed in eastern and northeastern China did not diverge from their cultivated ancestors by reverting to the pre-domestication trait of seed dormancy during feralization. Instead, they developed a temperature-sensing mechanism to control the timing of seed germination. Subsequent divergence in the minimum critical temperature for germination has been detected between northeastern and eastern populations. An integrative analysis was conducted using combinations of phenotypic, genomic and transcriptomic data to investigate the genetic mechanism underlying local adaptation and feralization. A dozen genes were identified, which showed extreme allele frequency differences between eastern and northeastern populations, and high correlations between allele-specific gene expression and feral phenotypes. Trancing the origin of potential adaptive alleles based on genomic sequences revealed the presence of most selected alleles in wild and cultivated rice genomes, indicating that weedy rice drew upon pre-existing, "conditionally neutral" alleles to respond to the feral selection regimes. The cryptic phenotype was exposed by activating formerly silent alleles to facilitate the transition from cultivation to wild existence, promoting the evolution and persistence of weedy forms.
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Affiliation(s)
- Chengchuan Zhou
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Yang Feng
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Gengyun Li
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Mengli Wang
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Jinjing Jian
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Yuguo Wang
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Wenju Zhang
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Zhiping Song
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Linfeng Li
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Baorong Lu
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
| | - Ji Yang
- National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai, China
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21
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Wedger MJ, Schumann AC, Gross BL. Candidate genes and signatures of directional selection on fruit quality traits during apple domestication. AMERICAN JOURNAL OF BOTANY 2021; 108:616-627. [PMID: 33837962 DOI: 10.1002/ajb2.1636] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 11/24/2020] [Indexed: 06/12/2023]
Abstract
PREMISE During plant domestication, traits can be subject to a variety of types of selection, ranging from strong directional selection for traits such as seed or fruit size to diversifying selection for traits like color or flavor. These types of selection interact with other evolutionary processes including genetic bottlenecks and interspecific gene flow to generate different levels of genetic diversity across the genome and at target genes in domesticated lineages, but little is known about the impacts of these processes in perennial fruit crops. METHODS We used sequence capture by hybridization to examine patterns of diversity at a suite of candidate domestication and anonymous background genes in domesticated apple (Malus ×domestica) in comparison to its wild relatives Malus sieversii and Malus orientalis. RESULTS We found no change in average diversity at these candidate domestication genes across the three species. However, a subset of the genes did exhibit patterns of very high or very low diversity in M. ×domestica compared to its progenitor, M. sieversii. Of the genes with characterized function, the low-diversity genes mainly contributed to fruit quality traits like color and flavor, predicted to be under conscious, directional selection relatively late in the domestication process, while the high-diversity genes included a variety of functions. CONCLUSIONS Overall, these results are consistent with predictions based on the likely timing and nature of selection during domestication and open new avenues for understanding genes with high diversity in a perennial crop compared to its wild relatives.
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Affiliation(s)
- Marshall J Wedger
- Department of Biology, Washington University, Campus Box 1137, St. Louis, MO, 63130, USA
| | - Abby C Schumann
- Minnesota Poultry Testing Laboratory, P.O. Box 126, 622 Bus. Hwy 71 NE, Wilmar, MN, 56201, USA
| | - Briana L Gross
- Department of Biology, University of Minnesota Duluth, 207 Swenson Science Building, 1035 Kirby Drive, Duluth, MN, 55812, USA
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22
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McClung CR. Circadian Clock Components Offer Targets for Crop Domestication and Improvement. Genes (Basel) 2021; 12:genes12030374. [PMID: 33800720 PMCID: PMC7999361 DOI: 10.3390/genes12030374] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/01/2021] [Accepted: 03/04/2021] [Indexed: 12/31/2022] Open
Abstract
During plant domestication and improvement, farmers select for alleles present in wild species that improve performance in new selective environments associated with cultivation and use. The selected alleles become enriched and other alleles depleted in elite cultivars. One important aspect of crop improvement is expansion of the geographic area suitable for cultivation; this frequently includes growth at higher or lower latitudes, requiring the plant to adapt to novel photoperiodic environments. Many crops exhibit photoperiodic control of flowering and altered photoperiodic sensitivity is commonly required for optimal performance at novel latitudes. Alleles of a number of circadian clock genes have been selected for their effects on photoperiodic flowering in multiple crops. The circadian clock coordinates many additional aspects of plant growth, metabolism and physiology, including responses to abiotic and biotic stresses. Many of these clock-regulated processes contribute to plant performance. Examples of selection for altered clock function in tomato demonstrate that with domestication, the phasing of the clock is delayed with respect to the light–dark cycle and the period is lengthened; this modified clock is associated with increased chlorophyll content in long days. These and other data suggest the circadian clock is an attractive target during breeding for crop improvement.
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Affiliation(s)
- C Robertson McClung
- Department of Biological Sciences, Dartmouth College, Hanover, NH 03755, USA
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23
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Wang P, Zhou G, Jian J, Yang H, Renshaw D, Aubert MK, Clements J, He T, Sweetingham M, Li C. Whole-genome assembly and resequencing reveal genomic imprint and key genes of rapid domestication in narrow-leafed lupin. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 105:1192-1210. [PMID: 33249667 DOI: 10.1111/tpj.15100] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 11/17/2020] [Accepted: 11/20/2020] [Indexed: 05/04/2023]
Abstract
Shifting from a livestock-based protein diet to a plant-based protein diet has been proposed as an essential requirement to maintain global food sustainability, which requires the increased production of protein-rich crops for direct human consumption. Meanwhile, the lack of sufficient genetic diversity in crop varieties is an increasing concern for sustainable food supplies. Countering this concern requires a clear understanding of the domestication process and dynamics. Narrow-leafed lupin (Lupinus angustifolius L.) has experienced rapid domestication and has become a new legume crop over the past century, with the potential to provide protein-rich seeds. Here, using long-read whole-genome sequencing, we assembled the third-generation reference genome for the narrow-leafed lupin cultivar Tanjil, comprising 20 chromosomes with a total genome size of 615.8 Mb and contig N50 = 5.65 Mb. We characterized the original mutation and putative biological pathway resulting in low seed alkaloid level that initiated the recent domestication of narrow-leafed lupin. We identified a 1133-bp insertion in the cis-regulatory region of a putative gene that may be associated with reduced pod shattering (lentus). A comparative analysis of genomic diversity in cultivars and wild types identified an apparent domestication bottleneck, as precisely predicted by the original model of the bottleneck effect on genetic variability in populations. Our results identify the key domestication genetic loci and provide direct genomic evidence for a domestication bottleneck, and open up the possibility of knowledge-driven de novo domestication of wild plants as an avenue to broaden crop plant diversity to enhance food security and sustainable low-carbon emission agriculture.
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Affiliation(s)
- Penghao Wang
- College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, 6150, Australia
- Western Crop Genetics Alliance, Western Australian Agricultural Biotechnology Centre, Murdoch University, 90 South Street, Murdoch, WA, 6150, Australia
| | - Gaofeng Zhou
- Western Crop Genetics Alliance, Western Australian Agricultural Biotechnology Centre, Murdoch University, 90 South Street, Murdoch, WA, 6150, Australia
- Department of Primary Industries and Regional Development, Government of Western Australia, 3 Baron-Hay Court, South Perth, WA, 6151, Australia
| | - Jianbo Jian
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Huaan Yang
- Department of Primary Industries and Regional Development, Government of Western Australia, 3 Baron-Hay Court, South Perth, WA, 6151, Australia
| | - Daniel Renshaw
- Department of Primary Industries and Regional Development, Government of Western Australia, 3 Baron-Hay Court, South Perth, WA, 6151, Australia
| | - Matthew K Aubert
- Australian Grain Technologies Pty Ltd, 100 Byfield Street, Northam, WA, 6041, Australia
| | - Jonathan Clements
- Green Blueprint Pty Ltd, 117C Hastings Street, Scarborough, WA, 6019, Australia
- Glycemic Lupin Company Pty Ltd, 33 Commercial St, Coorow, WA, 6515, Australia
| | - Tianhua He
- College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, 6150, Australia
- Western Crop Genetics Alliance, Western Australian Agricultural Biotechnology Centre, Murdoch University, 90 South Street, Murdoch, WA, 6150, Australia
| | - Mark Sweetingham
- Department of Primary Industries and Regional Development, Government of Western Australia, 3 Baron-Hay Court, South Perth, WA, 6151, Australia
| | - Chengdao Li
- College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, 6150, Australia
- Western Crop Genetics Alliance, Western Australian Agricultural Biotechnology Centre, Murdoch University, 90 South Street, Murdoch, WA, 6150, Australia
- Department of Primary Industries and Regional Development, Government of Western Australia, 3 Baron-Hay Court, South Perth, WA, 6151, Australia
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24
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Wambugu PW, Ndjiondjop MN, Henry R. Genetics and Genomics of African Rice (Oryza glaberrima Steud) Domestication. RICE (NEW YORK, N.Y.) 2021; 14:6. [PMID: 33415579 PMCID: PMC7790969 DOI: 10.1186/s12284-020-00449-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 12/17/2020] [Indexed: 06/12/2023]
Abstract
African rice (Oryza glaberrima Steud) is one of the two independently domesticated rice species, the other one being Asian rice (Oryza sativa L.). Despite major progress being made in understanding the evolutionary and domestication history of African rice, key outstanding issues remain controversial. There appears to be an underlying difficulty in identifying the domestication centre and number of times the crop has been domesticated. Advances in genomics have provided unprecedented opportunities for understanding the genetic architecture of domestication related traits. For most of the domestication traits, the underlying genes and mutations have been identified. Comparative analysis of domestication genes between Asian and African rice has revealed that the two species went through an independent but convergent evolution process. The genetic and developmental basis of some of the domestic traits are conserved not only between Asian and African rice but also with other domesticated crop species. Analysis of genome data and its interpretation is emerging as a major challenge facing studies of domestication in African rice as key studies continue giving contradictory findings and conclusions. Insights obtained on the domestication of this species are vital for guiding crop improvement efforts.
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Affiliation(s)
- Peterson W. Wambugu
- Kenya Agricultural and Livestock Research Organization, Genetic Resources Research Institute, P.O. Box 30148, Nairobi, 00100 Kenya
| | - Marie-Noelle Ndjiondjop
- M’bé Research Station, Africa Rice Center (AfricaRice), 01 B.P. 2551 Bouaké 01, Côte d’Ivoire
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4072 Australia
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Li H, Sun H, Jiang J, Sun X, Tan L, Sun C. TAC4 controls tiller angle by regulating the endogenous auxin content and distribution in rice. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:64-73. [PMID: 32628357 PMCID: PMC7769243 DOI: 10.1111/pbi.13440] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 04/29/2020] [Accepted: 06/18/2020] [Indexed: 05/17/2023]
Abstract
Tiller angle, an important component of plant architecture, greatly influences the grain yield of rice (Oryza sativa L.). Here, we identified Tiller Angle Control 4 (TAC4) as a novel regulator of rice tiller angle. TAC4 encodes a plant-specific, highly conserved nuclear protein. The loss of TAC4 function leads to a significant increase in the tiller angle. TAC4 can regulate rice shoot gravitropism by increasing the indole acetic acid content and affecting the auxin distribution. A sequence analysis revealed that TAC4 has undergone a bottleneck and become fixed in indica cultivars during domestication and improvement. Our findings facilitate an increased understanding of the regulatory mechanisms of tiller angle and also provide a potential gene resource for the improvement of rice plant architecture.
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Affiliation(s)
- Hua Li
- State Key Laboratory of Plant Physiology and BiochemistryChina Agricultural UniversityBeijingChina
- National Center for Evaluation of Agricultural Wild Plants (Rice)Beijing Key Laboratory of Crop Genetic ImprovementLaboratory of Crop Heterosis and UtilizationMOEDepartment of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
| | - Hongying Sun
- State Key Laboratory of Plant Physiology and BiochemistryChina Agricultural UniversityBeijingChina
- National Center for Evaluation of Agricultural Wild Plants (Rice)Beijing Key Laboratory of Crop Genetic ImprovementLaboratory of Crop Heterosis and UtilizationMOEDepartment of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
| | - Jiahuang Jiang
- National Center for Evaluation of Agricultural Wild Plants (Rice)Beijing Key Laboratory of Crop Genetic ImprovementLaboratory of Crop Heterosis and UtilizationMOEDepartment of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
| | - Xianyou Sun
- National Center for Evaluation of Agricultural Wild Plants (Rice)Beijing Key Laboratory of Crop Genetic ImprovementLaboratory of Crop Heterosis and UtilizationMOEDepartment of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
| | - Lubin Tan
- National Center for Evaluation of Agricultural Wild Plants (Rice)Beijing Key Laboratory of Crop Genetic ImprovementLaboratory of Crop Heterosis and UtilizationMOEDepartment of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
| | - Chuanqing Sun
- State Key Laboratory of Plant Physiology and BiochemistryChina Agricultural UniversityBeijingChina
- National Center for Evaluation of Agricultural Wild Plants (Rice)Beijing Key Laboratory of Crop Genetic ImprovementLaboratory of Crop Heterosis and UtilizationMOEDepartment of Plant Genetics and BreedingChina Agricultural UniversityBeijingChina
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Yan H, Zhou P, Peng Y, Bekele WA, Ren C, Tinker NA, Peng Y. Genetic diversity and genome-wide association analysis in Chinese hulless oat germplasm. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:3365-3380. [PMID: 32888041 DOI: 10.1007/s00122-020-03674-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 08/21/2020] [Indexed: 05/12/2023]
Abstract
Genotyping-by-sequencing (GBS)-derived molecular markers reveal the distinct genetic population structure and relatively narrow genetic diversity of Chinese hulless oat landraces. Four markers linked to the naked grain gene (N1) are identified by genome-wide association study (GWAS). Interest in hulless oat (Avena sativa ssp. nuda), a variant of common oat (A. sativa) domesticated in Western Asia, has increased in recent years due to its free-threshing attribute and its domestication history. However, the genetic diversity and population structure of hulless oat, as well as the genetic mechanism of hullessness, are poorly understood. In this study, the genetic diversity and population structure of a worldwide sample of 805 oat lines including 186 hulless oats were investigated using genotyping-by-sequencing. Population structure analyses showed a strong genetic differentiation between hulless landraces vs other oat lines, including the modern hulless cultivars. The distinct subpopulation stratification of hulless landraces and their low genetic diversity suggests that a domestication bottleneck existed in hulless landraces. Additionally, low genetic diversity within European oats and strong differentiation between the spring oats and southern origin oat lines revealed by previous studies were also observed in this study. Genomic regions contributing to these genetic differentiations suggest that genetic loci related to growth habit and stress resistance may have been under intense selection, rather than the hulless-related genomic regions. Genome-wide association analysis detected four markers that were highly associated with hullessness. Three of these were mapped on linkage group Mrg21 at a genetic position between 195.7 and 212.1 cM, providing robust evidence that the dominant N1 locus located on Mrg21 is the single major factor controlling this trait.
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Affiliation(s)
- Honghai Yan
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Pingping Zhou
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yun Peng
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
| | - Wubishet A Bekele
- Agriculture and Agri-Food Canada, Ottawa Research and Development Centre, 960 Carling Ave, Ottawa, ON, K1A0C6, Canada
| | - Changzhong Ren
- Baicheng Academy of Agricultural Sciences, Baicheng, 137000, China
| | - Nicholas A Tinker
- Agriculture and Agri-Food Canada, Ottawa Research and Development Centre, 960 Carling Ave, Ottawa, ON, K1A0C6, Canada.
| | - Yuanying Peng
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
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Arnoux S, Fraïsse C, Sauvage C. Genomic inference of complex domestication histories in three Solanaceae species. J Evol Biol 2020; 34:270-283. [PMID: 33107098 DOI: 10.1111/jeb.13723] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 10/15/2020] [Indexed: 12/30/2022]
Abstract
Domestication is a human-induced selection process that imprints the genomes of domesticated populations over a short evolutionary time scale and that occurs in a given demographic context. Reconstructing historical gene flow, effective population size changes and their timing is therefore of fundamental interest to understand how plant demography and human selection jointly shape genomic divergence during domestication. Yet, the comparison under a single statistical framework of independent domestication histories across different crop species has been little evaluated so far. Thus, it is unclear whether domestication leads to convergent demographic changes that similarly affect crop genomes. To address this question, we used existing and new transcriptome data on three crop species of Solanaceae (eggplant, pepper and tomato), together with their close wild relatives. We fitted twelve demographic models of increasing complexity on the unfolded joint allele frequency spectrum for each wild/crop pair, and we found evidence for both shared and species-specific demographic processes between species. A convergent history of domestication with gene flow was inferred for all three species, along with evidence of strong reduction in the effective population size during the cultivation stage of tomato and pepper. The absence of any reduction in size of the crop in eggplant stands out from the classical view of the domestication process; as does the existence of a "protracted period" of management before cultivation. Our results also suggest divergent management strategies of modern cultivars among species as their current demography substantially differs. Finally, the timing of domestication is species-specific and supported by the few historical records available.
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Affiliation(s)
- Stéphanie Arnoux
- INRA UR1052 GAFL, Centre de Recherche INRA PACA, Avignon Cedex 9, France.,Vilmorin SA, Lédenon, France
| | | | - Christopher Sauvage
- INRA UR1052 GAFL, Centre de Recherche INRA PACA, Avignon Cedex 9, France.,Syngenta SAS France, Saint Sauveur, France
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28
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Sun H, Wang C, Chen X, Liu H, Huang Y, Li S, Dong Z, Zhao X, Tian F, Jin W. dlf1 promotes floral transition by directly activating ZmMADS4 and ZmMADS67 in the maize shoot apex. THE NEW PHYTOLOGIST 2020; 228:1386-1400. [PMID: 32579713 DOI: 10.1111/nph.16772] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 06/16/2020] [Indexed: 06/11/2023]
Abstract
The floral transition of the maize (Zea mays ssp. mays) shoot apical meristem determines leaf number and flowering time, which are key traits influencing local adaptation and yield potential. dlf1 (delayed flowering1) encodes a basic leucine zipper protein that interacts with the florigen ZCN8 to mediate floral induction in the shoot apex. However, the mechanism of how dlf1 promotes floral transition remains largely unknown. We demonstrate that dlf1 underlies qLB7-1, a quantitative trait locus controlling leaf number and flowering time that was identified in a BC2 S3 population derived from a cross between maize and its wild ancestor, teosinte (Zea mays ssp. parviglumis). Transcriptome sequencing and chromatin immunoprecipitation sequencing demonstrated that DLF1 binds the core promoter of two AP1/FUL subfamily MADS-box genes, ZmMADS4 and ZmMADS67, to activate their expression. Knocking out ZmMADS4 and ZmMADS67 both increased leaf number and delayed flowering, indicating that they promote the floral transition. Nucleotide diversity analysis revealed that dlf1 and ZmMADS67 were targeted by selection, suggesting that they may have played important roles in maize flowering time adaptation. We show that dlf1 promotes maize floral transition by directly activating ZmMADS4 and ZmMADS67 in the shoot apex, providing novel insights into the mechanism of maize floral transition.
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Affiliation(s)
- Huayue Sun
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing, 100193, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China
| | - Chenglong Wang
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing, 100193, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China
| | - Xiaoyang Chen
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing, 100193, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China
| | - Hongbing Liu
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing, 100193, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China
| | - Yumin Huang
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing, 100193, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China
| | - Suxing Li
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing, 100193, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China
| | - Zhaobin Dong
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing, 100193, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China
| | - Xiaoming Zhao
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China
| | - Feng Tian
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing, 100193, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China
| | - Weiwei Jin
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Key Laboratory of Crop Heterosis and Utilization (MOE), China Agricultural University, Beijing, 100193, China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, 100193, China
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Stanley A, Menkir A, Paterne A, Ifie B, Tongoona P, Unachukwu N, Meseka S, Mengesha W, Gedil M. Genetic Diversity and Population Structure of Maize Inbred Lines with Varying Levels of Resistance to Striga Hermonthica Using Agronomic Trait-Based and SNP Markers. PLANTS (BASEL, SWITZERLAND) 2020; 9:E1223. [PMID: 32957613 PMCID: PMC7570130 DOI: 10.3390/plants9091223] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/07/2020] [Accepted: 09/14/2020] [Indexed: 11/17/2022]
Abstract
Striga hermonthica is a serious biotic stress limiting maize production in sub-Saharan Africa. The limited information on the patterns of genetic diversity among maize inbred lines derived from source germplasm with mixed genetic backgrounds limits the development of inbred lines, hybrids, and synthetics with durable resistance to S. hermonthica. This study was conducted to assess the level of genetic diversity in a panel of 150 diverse maize inbred lines using agronomic and molecular data and also to infer the population structure among the inbred lines. Ten Striga-resistance-related traits were used for the phenotypic characterization, and 16,735 high-quality single-nucleotide polymorphisms (SNPs), identified by genotyping-by-sequencing (GBS), were used for molecular diversity. The phenotypic and molecular hierarchical cluster analyses grouped the inbred lines into five clusters, respectively. However, the grouping patterns between the phenotypic and molecular hierarchical cluster analyses were inconsistent due to non-overlapping information between the phenotypic and molecular data. The correlation between the phenotypic and molecular diversity matrices was very low (0.001), which is in agreement with the inconsistencies observed between the clusters formed by the phenotypic and molecular diversity analyses. The joint phenotypic and genotypic diversity matrices grouped the inbred lines into three groups based on their reaction patterns to S. hermonthica, and this was able to exploit a broad estimate of the actual diversity among the inbred lines. The joint analysis shows an invaluable insight for measuring genetic diversity in the evaluated materials. The result indicates that wide genetic variability exists among the inbred lines and that the joint diversity analysis can be utilized to reliably assign the inbred lines into heterotic groups and also to enhance the level of resistance to Striga in new maize varieties.
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Affiliation(s)
- Adekemi Stanley
- West Africa Centre for Crop Improvement University of Ghana, Legon PMB 30, Ghana; (A.S.); (B.I.); (P.T.)
- International Institute of Tropical Agriculture (IITA), Ibadan 200001, Nigeria; (A.P.); (N.U.); (S.M.); (W.M.); (M.G.)
| | - Abebe Menkir
- International Institute of Tropical Agriculture (IITA), Ibadan 200001, Nigeria; (A.P.); (N.U.); (S.M.); (W.M.); (M.G.)
| | - Agre Paterne
- International Institute of Tropical Agriculture (IITA), Ibadan 200001, Nigeria; (A.P.); (N.U.); (S.M.); (W.M.); (M.G.)
| | - Beatrice Ifie
- West Africa Centre for Crop Improvement University of Ghana, Legon PMB 30, Ghana; (A.S.); (B.I.); (P.T.)
| | - Pangirayi Tongoona
- West Africa Centre for Crop Improvement University of Ghana, Legon PMB 30, Ghana; (A.S.); (B.I.); (P.T.)
| | - Nnanna Unachukwu
- International Institute of Tropical Agriculture (IITA), Ibadan 200001, Nigeria; (A.P.); (N.U.); (S.M.); (W.M.); (M.G.)
| | - Silvestro Meseka
- International Institute of Tropical Agriculture (IITA), Ibadan 200001, Nigeria; (A.P.); (N.U.); (S.M.); (W.M.); (M.G.)
| | - Wende Mengesha
- International Institute of Tropical Agriculture (IITA), Ibadan 200001, Nigeria; (A.P.); (N.U.); (S.M.); (W.M.); (M.G.)
| | - Melaku Gedil
- International Institute of Tropical Agriculture (IITA), Ibadan 200001, Nigeria; (A.P.); (N.U.); (S.M.); (W.M.); (M.G.)
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Bruggeman SA, Horvath DP, Fennell AY, Gonzalez-Hernandez JL, Clay SA. Teosinte (Zea mays ssp parviglumis) growth and transcriptomic response to weed stress identifies similarities and differences between varieties and with modern maize varieties. PLoS One 2020; 15:e0237715. [PMID: 32822374 PMCID: PMC7444550 DOI: 10.1371/journal.pone.0237715] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 07/31/2020] [Indexed: 12/22/2022] Open
Abstract
Transcriptomic responses of plants to weed presence gives insight on the physiological and molecular mechanisms involved in the stress response. This study evaluated transcriptomic and morphological responses of two teosinte (Zea mays ssp parviglumis) (an ancestor of domesticated maize) lines (Ames 21812 and Ames 21789) to weed presence and absence during two growing seasons. Responses were compared after 6 weeks of growth in Aurora, South Dakota, USA. Plant heights between treatments were similar in Ames 21812, whereas branch number decreased when weeds were present. Ames 21789 was 45% shorter in weedy vs weed-free plots, but branch numbers were similar between treatments. Season-long biomass was reduced in response to weed stress in both lines. Common down-regulated subnetworks in weed-stressed plants were related to light, photosynthesis, and carbon cycles. Several unique response networks (e.g. aging, response to chitin) and gene sets were present in each line. Comparing transcriptomic responses of maize (determined in an adjacent study) and teosinte lines indicated three common gene ontologies up-regulated when weed-stressed: jasmonic acid response/signaling, UDP-glucosyl and glucuronyltransferases, and quercetin glucosyltransferase (3-O and 7-O). Overall, morphologic and transcriptomic differences suggest a greater varietal (rather than a conserved) response to weed stress, and implies multiple responses are possible. These findings offer insights into opportunities to define and manipulate gene expression of several different pathways of modern maize varieties to improve performance under weedy conditions.
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Affiliation(s)
- S. A. Bruggeman
- Biology Department, St. Augustana University, Sioux Falls, SD, United States of America
| | - D. P. Horvath
- USDA-ARS-ETSARC, Sunflower and Plant Biology Research Unit, Fargo, ND, United States of America
| | - A. Y. Fennell
- Department of Agronomy, Horticulture & Plant Science, South Dakota State University, Brookings, SD, United States of America
| | - J. L. Gonzalez-Hernandez
- Department of Agronomy, Horticulture & Plant Science, South Dakota State University, Brookings, SD, United States of America
| | - S. A. Clay
- Department of Agronomy, Horticulture & Plant Science, South Dakota State University, Brookings, SD, United States of America
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Abstract
The domestic dog, as a highly successful domestication model, is well known as a favored human companion. Exploring its domestication history should provide great insight into our understanding of the prehistoric development of human culture and productivity. Furthermore, investigation on the mechanisms underpinning the morphological and behavioral traits associated with canid domestication syndrome is of significance not only for scientific study but also for human medical research. Current development of a multidisciplinary canine genome database, which includes enormous omics data, has substantially improved our understanding of the genetic makeup of dogs. Here, we reviewed recent advances associated with the original history and genetic basis underlying environmental adaptations and phenotypic diversities in domestic dogs, which should provide perspectives on improving the communicative relationship between dogs and humans.
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Affiliation(s)
- Zhe Zhang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan 650091, China
| | - Saber Khederzadeh
- State Key Laboratory of Genetic Resources and Evolution, Germplasm Bank of Wild Species, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650204, China
| | - Yan Li
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan 650091, China. E-mail:
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Riaz S, Menéndez CM, Tenscher A, Pap D, Walker MA. Genetic mapping and survey of powdery mildew resistance in the wild Central Asian ancestor of cultivated grapevines in Central Asia. HORTICULTURE RESEARCH 2020; 7:104. [PMID: 32637132 PMCID: PMC7326912 DOI: 10.1038/s41438-020-0335-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 04/01/2020] [Accepted: 05/01/2020] [Indexed: 05/21/2023]
Abstract
Cultivated grapevines (Vitis vinifera) lack resistance to powdery mildew (PM) with few exceptions. Resistance to this pathogen within V. vinifera has been reported in earlier studies and identified as the Ren1 locus in two Central Asian table grape accessions. Other PM-resistant cultivated varieties and accessions of the wild ancestor V. vinifera subsp. sylvestris were soon identified raising questions regarding the origin of the resistance. In this study, F1 breeding populations were developed with a PM susceptible V. vinifera subsp. vinifera breeding line and a PM-resistant subsp. sylvestris accession. Genotyping was carried out with five Ren1 locus linked SSR markers. A PM resistance locus explaining up to 96% of the phenotypic variation was identified in the same genomic position, where the Ren1 locus was previously reported. New SSR marker alleles linked with the resistance locus were identified. We report results of PM resistance in multiple accessions of subsp. sylvestris collected as seed lots or cuttings from five countries in the Caucasus and Central Asia. A total of 20 females from 11 seed lots and 19 males from nine seed lots collected from Georgia, Armenia, and Azerbaijan were resistant to PM. Three male and one female plant collected as cuttings from Afghanistan and Iran were also resistant to PM. Allelic analysis of markers linked with the Ren1 locus in conjunction with disease evaluation data found a high diversity of allelic haplotypes, which are only possible via recombination events occurring over a long time period. Sequence analysis of two alleles of the SSR marker that cosegregates with the resistance found SNPs that were present in the wild progenitor and in cultivated forms. Variable levels of PM resistance among the tested accessions were also observed. These lines of evidence suggest that the powdery mildew fungus may have been present in Asia for a longer time than currently thought, giving the wild progenitor V. vinifera subsp. sylvestris time to coevolve with and develop resistance to this pathogen.
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Affiliation(s)
- Summaira Riaz
- Department of Viticulture and Enology, University of California, Davis, CA 95616 USA
| | - Cristina M. Menéndez
- Instituto de Ciencias de la Vid y del Vino (ICVV), Universidad de La Rioja-CSIC-Gobierno de La Rioja, Carretera de Burgos Km, 6, Finca La Grajera, Logroño, La Rioja 26007 Spain
| | - Alan Tenscher
- Department of Viticulture and Enology, University of California, Davis, CA 95616 USA
| | - Daniel Pap
- Department of Viticulture and Enology, University of California, Davis, CA 95616 USA
| | - M. Andrew Walker
- Department of Viticulture and Enology, University of California, Davis, CA 95616 USA
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33
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The Temporal Dynamics of Background Selection in Nonequilibrium Populations. Genetics 2020; 214:1019-1030. [PMID: 32071195 DOI: 10.1534/genetics.119.302892] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Accepted: 01/30/2020] [Indexed: 01/06/2023] Open
Abstract
Neutral genetic diversity across the genome is determined by the complex interplay of mutation, demographic history, and natural selection. While the direct action of natural selection is limited to functional loci across the genome, its impact can have effects on nearby neutral loci due to genetic linkage. These effects of selection at linked sites, referred to as genetic hitchhiking and background selection (BGS), are pervasive across natural populations. However, only recently has there been a focus on the joint consequences of demography and selection at linked sites, and some empirical studies have come to apparently contradictory conclusions as to their combined effects. To understand the relationship between demography and selection at linked sites, we conducted an extensive forward simulation study of BGS under a range of demographic models. We found that the relative levels of diversity in BGS and neutral regions vary over time and that the initial dynamics after a population size change are often in the opposite direction of the long-term expected trajectory. Our detailed observations of the temporal dynamics of neutral diversity in the context of selection at linked sites in nonequilibrium populations provide new intuition about why patterns of diversity under BGS vary through time in natural populations and help reconcile previously contradictory observations. Most notably, our results highlight that classical models of BGS are poorly suited for predicting diversity in nonequilibrium populations.
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Batyrshina ZS, Yaakov B, Shavit R, Singh A, Tzin V. Comparative transcriptomic and metabolic analysis of wild and domesticated wheat genotypes reveals differences in chemical and physical defense responses against aphids. BMC PLANT BIOLOGY 2020; 20:19. [PMID: 31931716 PMCID: PMC6958765 DOI: 10.1186/s12870-019-2214-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 12/22/2019] [Indexed: 05/15/2023]
Abstract
BACKGROUND Young wheat plants are continuously exposed to herbivorous insect attack. To reduce insect damage and maintain their growth, plants evolved different defense mechanisms, including the biosynthesis of deterrent compounds named benzoxazinoids, and/or trichome formation that provides physical barriers. It is unclear whether both of these mechanisms are equally critical in providing an efficient defense for wheat seedlings against aphids-an economically costly pest in cereal production. RESULTS In this study, we compared the transcriptome, metabolome, benzoxazinoids, and trichome density of three selected wheat genotypes, with a focus on differences related to defense mechanisms. We chose diverse wheat genotypes: two tetraploid wheat genotypes, domesticated durum 'Svevo' and wild emmer 'Zavitan,' and one hexaploid bread wheat, 'Chinese Spring.' The full transcriptomic analysis revealed a major difference between the three genotypes, while the clustering of significantly different genes suggested a higher similarity between the two domesticated wheats than between either and the wild wheat. A pathway enrichment analysis indicated that the genes associated with primary metabolism, as well as the pathways associated with defense such as phytohormones and specialized metabolites, were different between the three genotypes. Measurement of benzoxazinoid levels at the three time points (11, 15, and 18 days after germination) revealed high levels in the two domesticated genotypes, while in wild emmer wheat, they were below detection level. In contrast to the benzoxazinoid levels, the trichome density was dramatically higher in the wild emmer than in the domesticated wheat. Lastly, we tested the bird cherry-oat aphid's (Rhopalosiphum padi) performance and found that Chinese Spring is more resistant than the tetraploid genotypes. CONCLUSIONS Our results show that benzoxazinoids play a more significant defensive role than trichomes. Differences between the abundance of defense mechanisms in the wild and domesticated plants were observed in which wild emmer possesses high physical defenses while the domesticated wheat genotypes have high chemical defenses. These findings provide new insights into the defense adaptations of wheat plants against aphids.
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Affiliation(s)
- Zhaniya S Batyrshina
- French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 8499000, Midreseht Ben Gurion, Beer-Sheva, Israel
| | - Beery Yaakov
- French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 8499000, Midreseht Ben Gurion, Beer-Sheva, Israel
| | - Reut Shavit
- French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 8499000, Midreseht Ben Gurion, Beer-Sheva, Israel
| | - Anuradha Singh
- French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 8499000, Midreseht Ben Gurion, Beer-Sheva, Israel
| | - Vered Tzin
- French Associates Institute for Agriculture and Biotechnology of Drylands, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 8499000, Midreseht Ben Gurion, Beer-Sheva, Israel.
- Ilse Katz Institute for Nanoscale Science and Technology, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
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Fang H, Fu X, Wang Y, Xu J, Feng H, Li W, Xu J, Jittham O, Zhang X, Zhang L, Yang N, Xu G, Wang M, Li X, Li J, Yan J, Yang X. Genetic basis of kernel nutritional traits during maize domestication and improvement. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 101:278-292. [PMID: 31529523 DOI: 10.1111/tpj.14539] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 09/01/2019] [Accepted: 09/09/2019] [Indexed: 05/28/2023]
Abstract
The nutritional traits of maize kernels are important for human and animal nutrition, and these traits have undergone selection to meet the diverse nutritional needs of humans. However, our knowledge of the genetic basis of selecting for kernel nutritional traits is limited. Here, we identified both single and epistatic quantitative trait loci (QTLs) that contributed to the differences of oil and carotenoid traits between maize and teosinte. Over half of teosinte alleles of single QTLs increased the values of the detected oil and carotenoid traits. Based on the pleiotropism or linkage information of the identified single QTLs, we constructed a trait-locus network to help clarify the genetic basis of correlations among oil and carotenoid traits. Furthermore, the selection features and evolutionary trajectories of the genes or loci underlying variations in oil and carotenoid traits revealed that these nutritional traits produced diverse selection events during maize domestication and improvement. To illustrate more, a mutator distance-relative transposable element (TE) in intron 1 of DXS2, which encoded a rate-limiting enzyme in the methylerythritol phosphate pathway, was identified to increase carotenoid biosynthesis by enhancing DXS2 expression. This TE occurs in the grass teosinte, and has been found to have undergone selection during maize domestication and improvement, and is almost fixed in yellow maize. Our findings not only provide important insights into evolutionary changes in nutritional traits, but also highlight the feasibility of reintroducing back into commercial agricultural germplasm those nutritionally important genes hidden in wild relatives.
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Affiliation(s)
- Hui Fang
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Xiuyi Fu
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- Maize Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Yuebin Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jing Xu
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Haiying Feng
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Weiya Li
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Jieting Xu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Orawan Jittham
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Xuan Zhang
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Lili Zhang
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Ning Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Gen Xu
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Min Wang
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Xiaowei Li
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Jiansheng Li
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xiaohong Yang
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center of China, MOA Key Laboratory of Maize Biology, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
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Abstract
Maize is an excellent model for the study of plant adaptation. Indeed, post domestication maize quickly adapted to a host of new environments across the globe. And work over the last decade has begun to highlight the role of the wild relatives of maize-the teosintes Zea mays ssp. parviglumis and ssp. mexicana-as excellent models for dissecting long-term local adaptation.Although human-driven selection associated with maize domestication has been extensively studied, the genetic basis of natural variation is still poorly understood. Here we review studies on the genetic basis of adaptation and plasticity in maize and its wild relatives. We highlight a range of different processes that contribute to adaptation and discuss evidence from natural, cultivated, and experimental populations. From an applied perspective, understanding the genetic bases of adaptation and the contribution of plasticity will provide us with new tools to both better understand and mitigate the effect of climate changes on natural and cultivated populations.
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Contemporary evolution of maize landraces and their wild relatives influenced by gene flow with modern maize varieties. Proc Natl Acad Sci U S A 2019; 116:21302-21311. [PMID: 31570572 DOI: 10.1073/pnas.1817664116] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Mexico is recognized as the center of origin and domestication of maize. Introduction of modern maize varieties (MVs) into Mexico raised concerns regarding the possible effects of gene flow from MVs into maize landraces (LRs) and their wild relatives (WRs), teosintes. However, after more than 60 y from the release of the first MVs, the impact of the sympatry with LRs and their WRs has not been explored with genetic data. In this work, we assessed changes in the genomes of 7 maize LRs and 2 WR subspecies from collections spanning over 70 y. We compared the genotypes obtained by genotyping by sequencing (GBS) for LRs and WRs before and after the adoption of MVs, and observed introgression from sympatric MVs into LRs and into the WR Zea mays ssp. mexicana sampled after the year 2000. We also found a decrease in the paired divergence index (F ST ) between MV-LR and MV-WR over the same time frame. Moreover, we determined that LR genetic diversity increased after 2000, probably as a result of gene flow from MVs introduced in the 1990s. Our findings allowed us to identify ongoing changes in the domesticated and wild maize genetic pools, and concur with previous works that have evaluated short-term gene flow from MVs into LRs in other crops. Our approach represents a useful tool for tracking evolutionary change in wild and domesticated genetic resources, as well as for developing strategies for their conservation.
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Golan G, Ayalon I, Perry A, Zimran G, Ade-Ajayi T, Mosquna A, Distelfeld A, Peleg Z. GNI-A1 mediates trade-off between grain number and grain weight in tetraploid wheat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:2353-2365. [PMID: 31079164 DOI: 10.1007/s00122-019-03358-5] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 05/02/2019] [Indexed: 05/19/2023]
Abstract
Wild emmer allele of GNI-A1 ease competition among developing grains through the suppression of floret fertility and increase grain weight in tetraploid wheat. Grain yield is a highly polygenic trait determined by the number of grains per unit area, as well as by grain weight. In wheat, grain number and grain weight are usually negatively correlated. Yet, the genetic basis underlying trade-off between the two is mostly unknown. Here, we fine-mapped a grain weight QTL using wild emmer introgressions in a durum wheat background and showed that grain weight is associated with the GNI-A1 gene, a regulator of floret fertility. In-depth characterization of grain number and grain weight indicated that suppression of distal florets by the wild emmer GNI-A1 allele increases weight of proximal grains in basal and central spikelets due to alteration in assimilate distribution. Re-sequencing of GNI-A1 in tetraploid wheat demonstrated the rich allelic repertoire of the wild emmer gene pool, including a rare allele which was present in two gene copies and contained a nonsynonymous mutation in the C-terminus of the protein. Using an F2 population generated from a cross between wild emmer accessions Zavitan, which carries the rare allele, and TTD140, we demonstrated that this unique polymorphism is associated with grain weight, independent of grain number. Moreover, we showed, for the first time, that GNI-A1 proteins are transcriptional activators and that selection targeted compromised activity of the protein. Our findings expand the knowledge of the genetic basis underlying trade-off between key yield components and may contribute to breeding efforts for enhanced grain yield.
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Affiliation(s)
- Guy Golan
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, P.O. Box 12, 7610001, Rehovot, Israel
| | - Idan Ayalon
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, P.O. Box 12, 7610001, Rehovot, Israel
| | - Aviad Perry
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, P.O. Box 12, 7610001, Rehovot, Israel
| | - Gil Zimran
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, P.O. Box 12, 7610001, Rehovot, Israel
| | - Toluwanimi Ade-Ajayi
- School of Plant Sciences and Food Security, Tel Aviv University, 6997801, Tel Aviv, Israel
| | - Assaf Mosquna
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, P.O. Box 12, 7610001, Rehovot, Israel
| | - Assaf Distelfeld
- School of Plant Sciences and Food Security, Tel Aviv University, 6997801, Tel Aviv, Israel
| | - Zvi Peleg
- The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, P.O. Box 12, 7610001, Rehovot, Israel.
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Woodhouse MR, Hufford MB. Parallelism and convergence in post-domestication adaptation in cereal grasses. Philos Trans R Soc Lond B Biol Sci 2019; 374:20180245. [PMID: 31154975 DOI: 10.1098/rstb.2018.0245] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The selection of desirable traits in crops during domestication has been well studied. Many crops share a suite of modified phenotypic characteristics collectively known as the domestication syndrome. In this sense, crops have convergently evolved. Previous work has demonstrated that, at least in some instances, convergence for domestication traits has been achieved through parallel molecular means. However, both demography and selection during domestication may have placed limits on evolutionary potential and reduced opportunities for convergent adaptation during post-domestication migration to new environments. Here we review current knowledge regarding trait convergence in the cereal grasses and consider whether the complexity and dynamism of cereal genomes (e.g., transposable elements, polyploidy, genome size) helped these species overcome potential limitations owing to domestication and achieve broad subsequent adaptation, in many cases through parallel means. This article is part of the theme issue 'Convergent evolution in the genomics era: new insights and directions'.
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Affiliation(s)
- M R Woodhouse
- Iowa State University, Ecology, Evolution, and Organismal Biology , Ames, IA 50011 , USA
| | - M B Hufford
- Iowa State University, Ecology, Evolution, and Organismal Biology , Ames, IA 50011 , USA
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40
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Liang Y, Liu Q, Wang X, Huang C, Xu G, Hey S, Lin HY, Li C, Xu D, Wu L, Wang C, Wu W, Xia J, Han X, Lu S, Lai J, Song W, Schnable PS, Tian F. ZmMADS69 functions as a flowering activator through the ZmRap2.7-ZCN8 regulatory module and contributes to maize flowering time adaptation. THE NEW PHYTOLOGIST 2019; 221:2335-2347. [PMID: 30288760 DOI: 10.1111/nph.15512] [Citation(s) in RCA: 59] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 09/14/2018] [Indexed: 05/26/2023]
Abstract
Flowering time is a major determinant of the local adaptation of plants. Although numerous loci affecting flowering time have been mapped in maize, their underlying molecular mechanisms and roles in adaptation remain largely unknown. Here, we report the identification and characterization of MADS-box transcription factor ZmMADS69 that functions as a flowering activator through the ZmRap2.7-ZCN8 regulatory module and contributes to adaptation. We show that ZmMADS69 underlies a quantitative trait locus controlling the difference in flowering time between maize and its wild ancestor, teosinte. Maize ZmMADS69 allele is expressed at a higher level at floral transition and confers earlier flowering than the teosinte allele under long days and short days. Overexpression of ZmMADS69 causes early flowering, while a transposon insertion mutant of ZmMADS69 exhibits delayed flowering. ZmMADS69 shows pleiotropic effects for multiple traits of agronomic importance. ZmMADS69 functions upstream of the flowering repressor ZmRap2.7 to downregulate its expression, thereby relieving the repression of the florigen gene ZCN8 and causing early flowering. Population genetic analyses showed that ZmMADS69 was a target of selection and may have played an important role as maize spread from the tropics to temperate zones. Our findings provide important insights into the regulation and adaptation of flowering time.
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Affiliation(s)
- Yameng Liang
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Qiang Liu
- Department of Agronomy, Iowa State University, Ames, IA, 50010-3650, USA
| | - Xufeng Wang
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- Guangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China
| | - Cheng Huang
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
| | - Guanghui Xu
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Stefan Hey
- Department of Agronomy, Iowa State University, Ames, IA, 50010-3650, USA
| | - Hung-Ying Lin
- Department of Agronomy, Iowa State University, Ames, IA, 50010-3650, USA
| | - Cong Li
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Dingyi Xu
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Lishuan Wu
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Chenglong Wang
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Weihao Wu
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Jinliang Xia
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Xu Han
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Sijia Lu
- School of Life Sciences, Guangzhou University, Guangzhou, 510006, China
| | - Jinsheng Lai
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Weibin Song
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Patrick S Schnable
- Department of Agronomy, Iowa State University, Ames, IA, 50010-3650, USA
- Department of Plant Genetics & Breeding, China Agricultural University, Beijing, 100193, China
| | - Feng Tian
- National Maize Improvement Center of China, Key Laboratory of Biology and Genetic Improvement of Maize (MOA), Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
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Allaby RG, Ware RL, Kistler L. A re-evaluation of the domestication bottleneck from archaeogenomic evidence. Evol Appl 2019; 12:29-37. [PMID: 30622633 PMCID: PMC6304682 DOI: 10.1111/eva.12680] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 07/04/2018] [Accepted: 07/09/2018] [Indexed: 01/03/2023] Open
Abstract
Domesticated crops show a reduced level of diversity that is commonly attributed to the "domestication bottleneck"; a drastic reduction in the population size associated with subsampling the wild progenitor species and the imposition of selection pressures associated with the domestication syndrome. A prediction of the domestication bottleneck is a sharp decline in genetic diversity early in the domestication process. Surprisingly, archaeological genomes of three major annual crops do not indicate that such a drop in diversity occurred early in the domestication process. In light of this observation, we revisit the general assumption of the domestication bottleneck concept in our current understanding of the evolutionary process of domestication.
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Affiliation(s)
| | | | - Logan Kistler
- Department of AnthropologyNational Museum of Natural HistorySmithsonian InstitutionWashingtonDistrict of Columbia
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42
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Stitzer MC, Ross-Ibarra J. Maize domestication and gene interaction. THE NEW PHYTOLOGIST 2018; 220:395-408. [PMID: 30035321 DOI: 10.1111/nph.15350] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 06/05/2018] [Indexed: 05/24/2023]
Abstract
Contents Summary 395 I. Introduction 395 II. The genetic basis of maize domestication 396 III. The tempo of maize domestication 401 IV. Genetic interactions and selection during maize domestication 401 V. Gene networks of maize domestication alleles 404 VI. Implications of gene interactions on evolution and selection404 VII. Conclusions 405 Acknowledgements 405 References 405 SUMMARY: Domestication is a tractable system for following evolutionary change. Under domestication, wild populations respond to shifting selective pressures, resulting in adaptation to the new ecological niche of cultivation. Owing to the important role of domesticated crops in human nutrition and agriculture, the ancestry and selection pressures transforming a wild plant into a domesticate have been extensively studied. In Zea mays, morphological, genetic and genomic studies have elucidated how a wild plant, the teosinte Z. mays subsp. parviglumis, was transformed into the domesticate Z. mays subsp. mays. Five major morphological differences distinguish these two subspecies, and careful genetic dissection has pinpointed the molecular changes responsible for several of these traits. But maize domestication was a consequence of more than just five genes, and regions throughout the genome contribute. The impacts of these additional regions are contingent on genetic background, both the interactions between alleles of a single gene and among alleles of the multiple genes that modulate phenotypes. Key genetic interactions include dominance relationships, epistatic interactions and pleiotropic constraint, including how these variants are connected in gene networks. Here, we review the role of gene interactions in generating the dramatic phenotypic evolution seen in the transition from teosinte to maize.
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Affiliation(s)
- Michelle C Stitzer
- Department of Plant Sciences, University of California, Davis, Davis, CA, 95616, USA
- Center for Population Biology, University of California, Davis, Davis, CA, 95616, USA
| | - Jeffrey Ross-Ibarra
- Department of Plant Sciences, University of California, Davis, Davis, CA, 95616, USA
- Center for Population Biology, University of California, Davis, Davis, CA, 95616, USA
- Genome Center, University of California, Davis, Davis, CA, 95616, USA
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43
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Specific LTR-Retrotransposons Show Copy Number Variations between Wild and Cultivated Sunflowers. Genes (Basel) 2018; 9:genes9090433. [PMID: 30158460 PMCID: PMC6162735 DOI: 10.3390/genes9090433] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2018] [Revised: 08/22/2018] [Accepted: 08/24/2018] [Indexed: 12/02/2022] Open
Abstract
The relationship between variation of the repetitive component of the genome and domestication in plant species is not fully understood. In previous work, variations in the abundance and proximity to genes of long terminal repeats (LTR)-retrotransposons of sunflower (Helianthus annuus L.) were investigated by Illumina DNA sequencingtocompare cultivars and wild accessions. In this study, we annotated and characterized 22 specific retrotransposon families whose abundance varies between domesticated and wild genotypes. These families mostly belonged to the Chromovirus lineage of the Gypsy superfamily and were distributed overall chromosomes. They were also analyzed in respect to their proximity to genes. Genes close to retrotransposon were classified according to biochemical pathways, and differences between domesticated and wild genotypes are shown. These data suggest that structural variations related to retrotransposons might have occurred to produce phenotypic variation between wild and domesticated genotypes, possibly by affecting the expression of genes that lie close to inserted or deleted retrotransposons and belong to specific biochemical pathways as those involved in plant stress responses.
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44
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Gaut BS, Seymour DK, Liu Q, Zhou Y. Demography and its effects on genomic variation in crop domestication. NATURE PLANTS 2018; 4:512-520. [PMID: 30061748 DOI: 10.1038/s41477-018-0210-1] [Citation(s) in RCA: 105] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2018] [Revised: 06/13/2018] [Accepted: 06/27/2018] [Indexed: 05/20/2023]
Abstract
Over two thousand plant species have been modified morphologically through cultivation and human use. Here, we review three aspects of crop domestication that are currently undergoing marked revisions, due to analytical advancements and their application to whole genome resequencing (WGS) data. We begin by discussing the duration and demographic history of domestication. There has been debate as to whether domestication occurred quickly or slowly. The latter is tentatively supported both by fossil data and application of WGS data to sequentially Markovian coalescent methods that infer the history of effective population size. This history suggests the possibility of extended human impacts on domesticated lineages prior to their purposeful cultivation. We also make the point that demographic history matters, because it shapes patterns and levels of extant genetic diversity. We illustrate this point by discussing the evolutionary processes that contribute to the empirical observation that most crops examined to date have more putatively deleterious alleles than their wild relatives. These deleterious alleles may contribute to genetic load within crops and may be fitting targets for crop improvement. Finally, the same demographic factors are likely to shape the spectrum of structural variants (SVs) within crops. SVs are known to underlie many of the phenotypic changes associated with domestication and crop improvement, but we currently lack sufficient knowledge about the mechanisms that create SVs, their rates of origin, their population frequencies and their phenotypic effects.
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Affiliation(s)
- Brandon S Gaut
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA, USA
| | - Danelle K Seymour
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA, USA
| | - Qingpo Liu
- College of Agriculture and Food Science, Zhejiang A&F University, Lin'an, Hangzhou, China
| | - Yongfeng Zhou
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA, USA.
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45
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Wang MMH, Gardner EM, Chung RCK, Chew MY, Milan AR, Pereira JT, Zerega NJC. Origin and diversity of an underutilized fruit tree crop, cempedak (Artocarpus integer, Moraceae). AMERICAN JOURNAL OF BOTANY 2018; 105:898-914. [PMID: 29874392 DOI: 10.1002/ajb2.1094] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2017] [Accepted: 03/02/2018] [Indexed: 06/08/2023]
Abstract
PREMISE OF THE STUDY Underutilized crops and their wild relatives are important resources for crop improvement and food security. Cempedak [Artocarpus integer (Thunb). Merr.] is a significant crop in Malaysia but underutilized elsewhere. Here we performed molecular characterization of cempedak and its putative wild relative bangkong (Artocarpus integer (Thunb). Merr. var. silvestris Corner) to address questions regarding the origin and diversity of cempedak. METHODS Using data from 12 microsatellite loci, we assessed the genetic diversity and genetic/geographic structure for 353 cempedak and 175 bangkong accessions from Malaysia and neighboring countries and employed clonal analysis to characterize cempedak cultivars. We conducted haplotype network analyses on the trnH-psbA region in a subset of these samples. We also analyzed key vegetative characters that reportedly differentiate cempedak and bangkong. KEY RESULTS We show that cempedak and bangkong are sister taxa and distinct genetically and morphologically, but the directionality of domestication origin is unclear. Genetic diversity was generally higher in bangkong than in cempedak. We found a distinct genetic cluster for cempedak from Borneo as compared to cempedak from Peninsular Malaysia. Finally, cempedak cultivars with the same names did not always share the same genetic fingerprint. CONCLUSIONS Cempedak origins are complex, with likely admixture and hybridization with bangkong, warranting further investigation. We provide a baseline of genetic diversity of cempedak and bangkong in Malaysia and found that germplasm collections in Malaysia represent diverse coverage of the four cempedak genetic clusters detected.
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Affiliation(s)
- Maria M H Wang
- Department of Plant Science, Chicago Botanic Garden, 1000 Lake Cook Road, Glencoe, IL, 60022, USA
- Plant Biology and Conservation, Northwestern University, 2205 Tech Drive, Hogan 2-144, Evanston, IL, 60208, USA
| | - Elliot M Gardner
- Department of Plant Science, Chicago Botanic Garden, 1000 Lake Cook Road, Glencoe, IL, 60022, USA
- Plant Biology and Conservation, Northwestern University, 2205 Tech Drive, Hogan 2-144, Evanston, IL, 60208, USA
| | - Richard C K Chung
- Forest Biodiversity Division, Forest Research Institute Malaysia, 52109, Kepong, Malaysia
| | - Ming Yee Chew
- Forest Biodiversity Division, Forest Research Institute Malaysia, 52109, Kepong, Malaysia
| | - Abd Rahman Milan
- Horticulture Research Centre, Malaysian Agricultural Research and Development Institute (MARDI), Serdang, P.O. Box 12301, 50774, Kuala Lumpur, Malaysia
| | - Joan T Pereira
- Forest Research Centre, Sabah Forestry Department, P.O. Box 1407, 90715, Sandakan, Sabah, Malaysia
| | - Nyree J C Zerega
- Department of Plant Science, Chicago Botanic Garden, 1000 Lake Cook Road, Glencoe, IL, 60022, USA
- Plant Biology and Conservation, Northwestern University, 2205 Tech Drive, Hogan 2-144, Evanston, IL, 60208, USA
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46
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Huang C, Sun H, Xu D, Chen Q, Liang Y, Wang X, Xu G, Tian J, Wang C, Li D, Wu L, Yang X, Jin W, Doebley JF, Tian F. ZmCCT9 enhances maize adaptation to higher latitudes. Proc Natl Acad Sci U S A 2018; 115:E334-E341. [PMID: 29279404 DOI: 10.1073/pnas.1718058115/suppl_file/pnas.1718058115.sapp.pdf] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/26/2023] Open
Abstract
From its tropical origin in southwestern Mexico, maize spread over a wide latitudinal cline in the Americas. This feat defies the rule that crops are inhibited from spreading easily across latitudes. How the widespread latitudinal adaptation of maize was accomplished is largely unknown. Through positional cloning and association mapping, we resolved a flowering-time quantitative trait locus to a Harbinger-like transposable element positioned 57 kb upstream of a CCT transcription factor (ZmCCT9). The Harbinger-like element acts in cis to repress ZmCCT9 expression to promote flowering under long days. Knockout of ZmCCT9 by CRISPR/Cas9 causes early flowering under long days. ZmCCT9 is diurnally regulated and negatively regulates the expression of the florigen ZCN8, thereby resulting in late flowering under long days. Population genetics analyses revealed that the Harbinger-like transposon insertion at ZmCCT9 and the CACTA-like transposon insertion at another CCT paralog, ZmCCT10, arose sequentially following domestication and were targeted by selection for maize adaptation to higher latitudes. Our findings help explain how the dynamic maize genome with abundant transposon activity enabled maize to adapt over 90° of latitude during the pre-Columbian era.
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Affiliation(s)
- Cheng Huang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Huayue Sun
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Dingyi Xu
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Qiuyue Chen
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Yameng Liang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Xufeng Wang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Guanghui Xu
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Jinge Tian
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Chenglong Wang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Dan Li
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Lishuan Wu
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Xiaohong Yang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - Weiwei Jin
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China
| | - John F Doebley
- Department of Genetics, University of Wisconsin, Madison, WI 53706
| | - Feng Tian
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, Joint International Research Laboratory of Crop Molecular Breeding, China Agricultural University, Beijing 100193, China;
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Manchanda N, Snodgrass SJ, Ross-Ibarra J, Hufford MB. Evolution and Adaptation in the Maize Genome. COMPENDIUM OF PLANT GENOMES 2018. [DOI: 10.1007/978-3-319-97427-9_19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
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48
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Makino T, Rubin CJ, Carneiro M, Axelsson E, Andersson L, Webster MT. Elevated Proportions of Deleterious Genetic Variation in Domestic Animals and Plants. Genome Biol Evol 2018; 10:276-290. [PMID: 29325102 PMCID: PMC5786255 DOI: 10.1093/gbe/evy004] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/08/2018] [Indexed: 12/12/2022] Open
Abstract
A fraction of genetic variants segregating in any population are deleterious, which negatively impacts individual fitness. The domestication of animals and plants is associated with population bottlenecks and artificial selection, which are predicted to increase the proportion of deleterious variants. However, the extent to which this is a general feature of domestic species is unclear. Here, we examine the effects of domestication on the prevalence of deleterious variation using pooled whole-genome resequencing data from five domestic animal species (dog, pig, rabbit, chicken, and silkworm) and two domestic plant species (rice and soybean) compared with their wild ancestors. We find significantly reduced genetic variation and increased proportion of nonsynonymous amino acid changes in all but one of the domestic species. These differences are observable across a range of allele frequencies, both common and rare. We find proportionally more single nucleotide polymorphisms in highly conserved elements in domestic species and a tendency for domestic species to harbor a higher proportion of changes classified as damaging. Our findings most likely reflect an increased incidence of deleterious variants in domestic species, which is most likely attributable to population bottlenecks that lead to a reduction in the efficacy of selection. An exception to this pattern is displayed by European domestic pigs, which do not show traces of a strong population bottleneck and probably continued to exchange genes with wild boar populations after domestication. The results presented here indicate that an elevated proportion of deleterious variants is a common, but not ubiquitous, feature of domestic species.
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Affiliation(s)
- Takashi Makino
- Department of Ecology and Evolutionary Biology, Graduate School of Life Sciences, Tohoku University, Aoba-ku, Sendai, Japan
| | - Carl-Johan Rubin
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Sweden
| | - Miguel Carneiro
- CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Portugal
| | - Erik Axelsson
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Sweden
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Sweden
| | - Matthew T Webster
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Sweden
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49
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Abstract
Flowering time is a critical determinant of crop adaptation to local environments. As a result of natural and artificial selection, maize has evolved a reduced photoperiod sensitivity to adapt to regions over 90° of latitude in the Americas. Here we show that a distant Harbinger-like transposon acts as a cis-regulatory element to repress ZmCCT9 expression to promote flowering under the long days of higher latitudes. The transposon at ZmCCT9 and another functional transposon at a second flowering-time gene, ZmCCT10, arose sequentially following domestication and were targeted by selection as maize spread from the tropics to higher latitudes. Our results demonstrate that new functional variation created by transposon insertions helped maize to spread over a broad range of latitudes rapidly. From its tropical origin in southwestern Mexico, maize spread over a wide latitudinal cline in the Americas. This feat defies the rule that crops are inhibited from spreading easily across latitudes. How the widespread latitudinal adaptation of maize was accomplished is largely unknown. Through positional cloning and association mapping, we resolved a flowering-time quantitative trait locus to a Harbinger-like transposable element positioned 57 kb upstream of a CCT transcription factor (ZmCCT9). The Harbinger-like element acts in cis to repress ZmCCT9 expression to promote flowering under long days. Knockout of ZmCCT9 by CRISPR/Cas9 causes early flowering under long days. ZmCCT9 is diurnally regulated and negatively regulates the expression of the florigen ZCN8, thereby resulting in late flowering under long days. Population genetics analyses revealed that the Harbinger-like transposon insertion at ZmCCT9 and the CACTA-like transposon insertion at another CCT paralog, ZmCCT10, arose sequentially following domestication and were targeted by selection for maize adaptation to higher latitudes. Our findings help explain how the dynamic maize genome with abundant transposon activity enabled maize to adapt over 90° of latitude during the pre-Columbian era.
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50
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Xu D, Wang X, Huang C, Xu G, Liang Y, Chen Q, Wang C, Li D, Tian J, Wu L, Wu Y, Guo L, Wang X, Wu W, Zhang W, Yang X, Tian F. Glossy15 Plays an Important Role in the Divergence of the Vegetative Transition between Maize and Its Progenitor, Teosinte. MOLECULAR PLANT 2017; 10:1579-1583. [PMID: 28987887 DOI: 10.1016/j.molp.2017.09.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Revised: 09/25/2017] [Accepted: 09/25/2017] [Indexed: 05/02/2023]
Affiliation(s)
- Dingyi Xu
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Xufeng Wang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Cheng Huang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Guanghui Xu
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Yameng Liang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Qiuyue Chen
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Chenglong Wang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Dan Li
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Jinge Tian
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Lishuan Wu
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Yaoyao Wu
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Li Guo
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Xuehan Wang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Weihao Wu
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Weiqiang Zhang
- Department of Crop Physiology and Cultivation, China Agricultural University, Beijing 100193, China
| | - Xiaohong Yang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China
| | - Feng Tian
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, Laboratory of Crop Heterosis and Utilization, China Agricultural University, Beijing 100193, China.
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