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Wang Y, Duchen P, Chávez A, Sree KS, Appenroth KJ, Zhao H, Höfer M, Huber M, Xu S. Population genomics and epigenomics of Spirodela polyrhiza provide insights into the evolution of facultative asexuality. Commun Biol 2024; 7:581. [PMID: 38755313 PMCID: PMC11099151 DOI: 10.1038/s42003-024-06266-7] [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: 08/01/2023] [Accepted: 04/30/2024] [Indexed: 05/18/2024] Open
Abstract
Many plants are facultatively asexual, balancing short-term benefits with long-term costs of asexuality. During range expansion, natural selection likely influences the genetic controls of asexuality in these organisms. However, evidence of natural selection driving asexuality is limited, and the evolutionary consequences of asexuality on the genomic and epigenomic diversity remain controversial. We analyzed population genomes and epigenomes of Spirodela polyrhiza, (L.) Schleid., a facultatively asexual plant that flowers rarely, revealing remarkably low genomic diversity and DNA methylation levels. Within species, demographic history and the frequency of asexual reproduction jointly determined intra-specific variations of genomic diversity and DNA methylation levels. Genome-wide scans revealed that genes associated with stress adaptations, flowering and embryogenesis were under positive selection. These data are consistent with the hypothesize that natural selection can shape the evolution of asexuality during habitat expansions, which alters genomic and epigenomic diversity levels.
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Affiliation(s)
- Yangzi Wang
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany
- Institute for Evolution and Biodiversity, University of Münster, 48161, Münster, Germany
| | - Pablo Duchen
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany
- Institute for Evolution and Biodiversity, University of Münster, 48161, Münster, Germany
| | - Alexandra Chávez
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany
- Institute for Evolution and Biodiversity, University of Münster, 48161, Münster, Germany
- Institute of Plant Biology and Biotechnology, University of Münster, 48161, Münster, Germany
| | - K Sowjanya Sree
- Department of Environmental Science, Central University of Kerala, Periya, 671320, India
| | - Klaus J Appenroth
- Matthias Schleiden Institute - Plant Physiology, Friedrich Schiller University of Jena, 07743, Jena, Germany
| | - Hai Zhao
- Chengdu Institute of Biology, Chinese Academy of Sciences, 6100641, Chengdu, China
| | - Martin Höfer
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany
- Institute for Evolution and Biodiversity, University of Münster, 48161, Münster, Germany
| | - Meret Huber
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany
- Institute of Plant Biology and Biotechnology, University of Münster, 48161, Münster, Germany
| | - Shuqing Xu
- Institute of Organismic and Molecular Evolution, University of Mainz, 55128, Mainz, Germany.
- Institute for Evolution and Biodiversity, University of Münster, 48161, Münster, Germany.
- Institute for Quantitative and Computational Biosciences, University of Mainz, 55218, Mainz, Germany.
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Wang N, Chen P, Xu Y, Guo L, Li X, Yi H, Larkin RM, Zhou Y, Deng X, Xu Q. Phased genomics reveals hidden somatic mutations and provides insight into fruit development in sweet orange. HORTICULTURE RESEARCH 2024; 11:uhad268. [PMID: 38371640 PMCID: PMC10873711 DOI: 10.1093/hr/uhad268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 12/01/2023] [Indexed: 02/20/2024]
Abstract
Although revisiting the discoveries and implications of genetic variations using phased genomics is critical, such efforts are still lacking. Somatic mutations represent a crucial source of genetic diversity for breeding and are especially remarkable in heterozygous perennial and asexual crops. In this study, we focused on a diploid sweet orange (Citrus sinensis) and constructed a haplotype-resolved genome using high fidelity (HiFi) reads, which revealed 10.6% new sequences. Based on the phased genome, we elucidate significant genetic admixtures and haplotype differences. We developed a somatic detection strategy that reveals hidden somatic mutations overlooked in a single reference genome. We generated a phased somatic variation map by combining high-depth whole-genome sequencing (WGS) data from 87 sweet orange somatic varieties. Notably, we found twice as many somatic mutations relative to a single reference genome. Using these hidden somatic mutations, we separated sweet oranges into seven major clades and provide insight into unprecedented genetic mosaicism and strong positive selection. Furthermore, these phased genomics data indicate that genomic heterozygous variations contribute to allele-specific expression during fruit development. By integrating allelic expression differences and somatic mutations, we identified a somatic mutation that induces increases in fruit size. Applications of phased genomics will lead to powerful approaches for discovering genetic variations and uncovering their effects in highly heterozygous plants. Our data provide insight into the hidden somatic mutation landscape in the sweet orange genome, which will facilitate citrus breeding.
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Affiliation(s)
- Nan Wang
- Institute of Horticultural Research, Hunan Academy of Agricultural Sciences, Changsha, China
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Peng Chen
- Institute of Horticultural Research, Hunan Academy of Agricultural Sciences, Changsha, China
- Yuelu Mountain Laboratory, Changsha, China
| | - Yuanyuan Xu
- Institute of Horticultural Research, Hunan Academy of Agricultural Sciences, Changsha, China
- Yuelu Mountain Laboratory, Changsha, China
| | - Lingxia Guo
- Institute of Horticultural Research, Hunan Academy of Agricultural Sciences, Changsha, China
- Yuelu Mountain Laboratory, Changsha, China
| | - Xianxin Li
- Institute of Horticultural Research, Hunan Academy of Agricultural Sciences, Changsha, China
- Yuelu Mountain Laboratory, Changsha, China
| | - Hualin Yi
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Robert M Larkin
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Yongfeng Zhou
- National Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- National Key Laboratory of Tropical Crop Breeding, Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou, China
| | - Xiuxin Deng
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Qiang Xu
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
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3
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Hung TH, Wu ETY, Zeltiņš P, Jansons Ā, Ullah A, Erbilgin N, Bohlmann J, Bousquet J, Birol I, Clegg SM, MacKay JJ. Long-insert sequence capture detects high copy numbers in a defence-related beta-glucosidase gene βglu-1 with large variations in white spruce but not Norway spruce. BMC Genomics 2024; 25:118. [PMID: 38281030 PMCID: PMC10821269 DOI: 10.1186/s12864-024-09978-6] [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: 08/18/2023] [Accepted: 01/05/2024] [Indexed: 01/29/2024] Open
Abstract
Conifers are long-lived and slow-evolving, thus requiring effective defences against their fast-evolving insect natural enemies. The copy number variation (CNV) of two key acetophenone biosynthesis genes Ugt5/Ugt5b and βglu-1 may provide a plausible mechanism underlying the constitutively variable defence in white spruce (Picea glauca) against its primary defoliator, spruce budworm. This study develops a long-insert sequence capture probe set (Picea_hung_p1.0) for quantifying copy number of βglu-1-like, Ugt5-like genes and single-copy genes on 38 Norway spruce (Picea abies) and 40 P. glauca individuals from eight and nine provenances across Europe and North America respectively. We developed local assemblies (Piabi_c1.0 and Pigla_c.1.0), full-length transcriptomes (PIAB_v1 and PIGL_v1), and gene models to characterise the diversity of βglu-1 and Ugt5 genes. We observed very large copy numbers of βglu-1, with up to 381 copies in a single P. glauca individual. We observed among-provenance CNV of βglu-1 in P. glauca but not P. abies. Ugt5b was predominantly single-copy in both species. This study generates critical hypotheses for testing the emergence and mechanism of extreme CNV, the dosage effect on phenotype, and the varying copy number of genes with the same pathway. We demonstrate new approaches to overcome experimental challenges in genomic research in conifer defences.
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Affiliation(s)
- Tin Hang Hung
- Department of Biology, University of Oxford, Oxford, OX1 3RB, UK.
| | - Ernest T Y Wu
- Department of Biology, University of Oxford, Oxford, OX1 3RB, UK
| | - Pauls Zeltiņš
- Latvian State Forest Research Institute "Silava", Salaspils, 2169, Latvia
| | - Āris Jansons
- Latvian State Forest Research Institute "Silava", Salaspils, 2169, Latvia
| | - Aziz Ullah
- Department of Renewable Resources, University of Alberta, Edmonton, AB, T6G 2E3, Canada
| | - Nadir Erbilgin
- Department of Renewable Resources, University of Alberta, Edmonton, AB, T6G 2E3, Canada
| | - Joerg Bohlmann
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
- Department of Botany, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
- Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Jean Bousquet
- Canada Research Chair in Forest Genomics, Forest Research Centre, Université Laval, Québec, QC, G1V 0A6, Canada
| | - Inanc Birol
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, V5Z 4S6, Canada
| | - Sonya M Clegg
- Department of Biology, University of Oxford, Oxford, OX1 3RB, UK
| | - John J MacKay
- Department of Biology, University of Oxford, Oxford, OX1 3RB, UK.
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Rahim MS, Sharma V, Pragati Yadav, Parveen A, Kumar A, Roy J, Kumar V. Rethinking underutilized cereal crops: pan-omics integration and green system biology. PLANTA 2023; 258:91. [PMID: 37777666 DOI: 10.1007/s00425-023-04242-9] [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: 06/15/2023] [Accepted: 09/12/2023] [Indexed: 10/02/2023]
Abstract
MAIN CONCLUSION Due to harsh lifestyle changes, in the present era, nutritional security is needed along with food security so it is necessary to include underutilized cereal crops (UCCs) in our daily diet to counteract the rising danger of human metabolic illness. We can attain both the goal of zero hunger and nutritional security by developing improved UCCs using advanced pan-omics (genomics, transcriptomics, proteomics, metabolomics, nutrigenomics, phenomics and ionomics) practices. Plant sciences research progressed profoundly since the last few decades with the introduction of advanced technologies and approaches, addressing issues of food demand of the growing population, nutritional security challenges and climate change. However, throughout the expansion and popularization of commonly consumed major cereal crops such as wheat and rice, other cereal crops such as millet, rye, sorghum, and others were impeded, despite their potential medicinal and nutraceutical qualities. Undoubtedly neglected underutilized cereal crops (UCCs) also have the capability to withstand diverse climate change. To relieve the burden of major crops, it is necessary to introduce the new crops in our diet in the way of UCCs. Introgression of agronomically and nutritionally important traits by pan-omics approaches in UCCs could be a defining moment for the population's well-being on the globe. This review discusses the importance of underutilized cereal crops, as well as the application of contemporary omics techniques and advanced bioinformatics tools that could open up new avenues for future study and be valuable assets in the development and usage of UCCs in the perspective of green system biology. The increased and improved use of UCCs is dependent on number of factors that necessitate a concerted research effort in agricultural sciences. The emergence of functional genomics with molecular genetics might gear toward the reawakening of interest in underutilized cereals crops. The need of this era is to focus on potential UCCs in advanced agriculture and breeding programmes. Hence, targeting the UCCs, might provide a bright future for better health and scientific rationale for its use.
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Affiliation(s)
- Mohammed Saba Rahim
- Department of Botany, School of Basic Sciences, Central University of Punjab, Punjab, 151401, India
- National Agri-Food Biotechnology Institute (NABI), Sector-81, SAS Nagar, Mohali, Punjab, 140 306, India
| | - Vinita Sharma
- National Agri-Food Biotechnology Institute (NABI), Sector-81, SAS Nagar, Mohali, Punjab, 140 306, India
| | - Pragati Yadav
- National Agri-Food Biotechnology Institute (NABI), Sector-81, SAS Nagar, Mohali, Punjab, 140 306, India
| | - Afsana Parveen
- National Agri-Food Biotechnology Institute (NABI), Sector-81, SAS Nagar, Mohali, Punjab, 140 306, India
| | - Adarsh Kumar
- Department of Botany, School of Basic Sciences, Central University of Punjab, Punjab, 151401, India
| | - Joy Roy
- National Agri-Food Biotechnology Institute (NABI), Sector-81, SAS Nagar, Mohali, Punjab, 140 306, India.
| | - Vinay Kumar
- Department of Botany, School of Basic Sciences, Central University of Punjab, Punjab, 151401, India.
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5
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Troyee AN, Peña-Ponton C, Medrano M, Verhoeven KJF, Alonso C. Herbivory induced methylation changes in the Lombardy poplar: A comparison of results obtained by epiGBS and WGBS. PLoS One 2023; 18:e0291202. [PMID: 37682835 PMCID: PMC10490839 DOI: 10.1371/journal.pone.0291202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
DNA cytosine methylation is an epigenetic mechanism involved in regulation of plant responses to biotic and abiotic stress and its ability to change can vary with the sequence context in which a cytosine appears (CpG, CHG, CHH, where H = Adenine, Thymine, Cytosine). Quantification of DNA methylation in model plant species is frequently addressed by Whole Genome Bisulfite Sequencing (WGBS), which requires a good-quality reference genome. Reduced Representation Bisulfite Sequencing (RRBS) is a cost-effective potential alternative for ecological research with limited genomic resources and large experimental designs. In this study, we provide for the first time a comprehensive comparison between the outputs of RRBS and WGBS to characterize DNA methylation changes in response to a given environmental factor. In particular, we used epiGBS (recently optimized RRBS) and WGBS to assess global and sequence-specific differential methylation after insect and artificial herbivory in clones of Populus nigra cv. 'italica'. We found that, after any of the two herbivory treatments, global methylation percentage increased in CHH, and the shift was detected as statistically significant only by epiGBS. As regards to loci-specific differential methylation induced by herbivory (cytosines in epiGBS and regions in WGBS), both techniques indicated the specificity of the response elicited by insect and artificial herbivory, together with higher frequency of hypo-methylation in CpG and hyper-methylation in CHH. Methylation changes were mainly found in gene bodies and intergenic regions when present at CpG and CHG and in transposable elements and intergenic regions at CHH context. Thus, epiGBS succeeded to characterize global, genome-wide methylation changes in response to herbivory in the Lombardy poplar. Our results support that epiGBS could be particularly useful in large experimental designs aimed to explore epigenetic changes of non-model plant species in response to multiple environmental factors.
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Affiliation(s)
- A. Niloya Troyee
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain
| | - Cristian Peña-Ponton
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Mónica Medrano
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain
| | - Koen J. F. Verhoeven
- Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Conchita Alonso
- Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas (CSIC), Sevilla, Spain
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Ruperao P, Rangan P, Shah T, Thakur V, Kalia S, Mayes S, Rathore A. The Progression in Developing Genomic Resources for Crop Improvement. Life (Basel) 2023; 13:1668. [PMID: 37629524 PMCID: PMC10455509 DOI: 10.3390/life13081668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/21/2023] [Accepted: 07/25/2023] [Indexed: 08/27/2023] Open
Abstract
Sequencing technologies have rapidly evolved over the past two decades, and new technologies are being continually developed and commercialized. The emerging sequencing technologies target generating more data with fewer inputs and at lower costs. This has also translated to an increase in the number and type of corresponding applications in genomics besides enhanced computational capacities (both hardware and software). Alongside the evolving DNA sequencing landscape, bioinformatics research teams have also evolved to accommodate the increasingly demanding techniques used to combine and interpret data, leading to many researchers moving from the lab to the computer. The rich history of DNA sequencing has paved the way for new insights and the development of new analysis methods. Understanding and learning from past technologies can help with the progress of future applications. This review focuses on the evolution of sequencing technologies, their significant enabling role in generating plant genome assemblies and downstream applications, and the parallel development of bioinformatics tools and skills, filling the gap in data analysis techniques.
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Affiliation(s)
- Pradeep Ruperao
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India
| | - Parimalan Rangan
- ICAR-National Bureau of Plant Genetic Resources, PUSA Campus, New Delhi 110012, India;
| | - Trushar Shah
- International Institute of Tropical Agriculture (IITA), Nairobi 30709-00100, Kenya;
| | - Vivek Thakur
- Department of Systems & Computational Biology, School of Life Sciences, University of Hyderabad, Hyderabad 500046, India;
| | - Sanjay Kalia
- Department of Biotechnology, Ministry of Science and Technology, Government of India, New Delhi 110003, India;
| | - Sean Mayes
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad 502324, India
| | - Abhishek Rathore
- Excellence in Breeding, International Maize and Wheat Improvement Center (CIMMYT), Hyderabad 502324, India
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Zhao P, Peng C, Fang L, Wang Z, Liu GE. Taming transposable elements in livestock and poultry: a review of their roles and applications. Genet Sel Evol 2023; 55:50. [PMID: 37479995 PMCID: PMC10362595 DOI: 10.1186/s12711-023-00821-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 06/30/2023] [Indexed: 07/23/2023] Open
Abstract
Livestock and poultry play a significant role in human nutrition by converting agricultural by-products into high-quality proteins. To meet the growing demand for safe animal protein, genetic improvement of livestock must be done sustainably while minimizing negative environmental impacts. Transposable elements (TE) are important components of livestock and poultry genomes, contributing to their genetic diversity, chromatin states, gene regulatory networks, and complex traits of economic value. However, compared to other species, research on TE in livestock and poultry is still in its early stages. In this review, we analyze 72 studies published in the past 20 years, summarize the TE composition in livestock and poultry genomes, and focus on their potential roles in functional genomics. We also discuss bioinformatic tools and strategies for integrating multi-omics data with TE, and explore future directions, feasibility, and challenges of TE research in livestock and poultry. In addition, we suggest strategies to apply TE in basic biological research and animal breeding. Our goal is to provide a new perspective on the importance of TE in livestock and poultry genomes.
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Affiliation(s)
- Pengju Zhao
- Hainan Institute of Zhejiang University, Hainan Sanya, 572000, China
- College of Animal Sciences, Zhejiang University, Zhejiang, Hangzhou, People's Republic of China
| | - Chen Peng
- Hainan Institute of Zhejiang University, Hainan Sanya, 572000, China
- College of Animal Sciences, Zhejiang University, Zhejiang, Hangzhou, People's Republic of China
| | - Lingzhao Fang
- Center for Quantitative Genetics and Genomics, Aarhus University, 8000, Aarhus, Denmark.
| | - Zhengguang Wang
- Hainan Institute of Zhejiang University, Hainan Sanya, 572000, China.
- College of Animal Sciences, Zhejiang University, Zhejiang, Hangzhou, People's Republic of China.
| | - George E Liu
- Animal Genomics and Improvement Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, USDA, Beltsville, MD, 20705, USA.
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Yu L, Ji T, Liao W, Xu Y, Fang Y, Zhu Q, Nie J, Yang D. H4-methylation regulators mediated epitranscriptome patterns and tumor microenvironment infiltration characterization in hepatocellular carcinoma. Clin Epigenetics 2023; 15:43. [PMID: 36932439 PMCID: PMC10024435 DOI: 10.1186/s13148-023-01460-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 02/28/2023] [Indexed: 03/19/2023] Open
Abstract
Epigenetic modifications are involved in the remodeling of the tumor microenvironment (TME) and the regulation of immune response. Nonetheless, the role of histone H4 methylation (H4M) modification in the TME and immune regulation of hepatocellular carcinoma (HCC) is unknown. As a result, the purpose of this research is to discover H4M-mediated modification patterns and their effects on TME and immunologic characteristics in HCC. A total of 2305 samples were enrolled from 13 different cohorts. With the help of consensus clustering analysis, three distinct H4M modification patterns were identified. The cell-infiltrating characteristics of TME under these three patterns were highly consistent with their enriched biological processes and clinical outcome. The H4Mscore was then created using principal component analysis algorithm to quantify the H4M modification pattern of each individual tumor and was systematically correlated with representative tumor characteristics. We found that analyzing H4M modification patterns within individual tumors could predict TME infiltration, homologous recombination deficiency (HRD), intratumor heterogeneity, proliferation activity, mRNA stemness index, and prognosis. The group with a low H4Mscore had an inflamed TME phenotype and a better immunotherapy response, as well as a better survival outcome. The prognostic value of H4Mscore was validated in three internal cohorts and five external cohorts, respectively. In external immunotherapy cohorts, the low H4Mscore was also linked to an enhanced response to anti-PD-1/L1 and anti-CTLA4 immunotherapy and a better prognosis. This study revealed that H4M modification played an important role in forming TME diversity and complexity. Evaluating the H4M modification pattern of individual tumors could help us learn more about TME and develop more effective immunotherapy strategies.
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Affiliation(s)
- Linyuan Yu
- grid.416466.70000 0004 1757 959XUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong Province China
| | - Tao Ji
- grid.416466.70000 0004 1757 959XUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong Province China
| | - Wei Liao
- grid.416466.70000 0004 1757 959XUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong Province China
| | - Yuyan Xu
- grid.284723.80000 0000 8877 7471General Surgery Center, Department of Hepatobiliary Surgery II, Guangdong Provincial Research Center for Artificial Organ and Tissue Engineering, Guangzhou Clinical Research and Transformation Center for Artificial Liver, Institute of Regenerative Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong Province China
| | - Yinghao Fang
- grid.416466.70000 0004 1757 959XUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong Province China
| | - Qing Zhu
- grid.416466.70000 0004 1757 959XUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong Province China
| | - Jianmin Nie
- grid.416466.70000 0004 1757 959XUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong Province China
| | - Dinghua Yang
- grid.416466.70000 0004 1757 959XUnit of Hepatobiliary Surgery, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515 Guangdong Province China
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9
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Jaegle B, Pisupati R, Soto-Jiménez LM, Burns R, Rabanal FA, Nordborg M. Extensive sequence duplication in Arabidopsis revealed by pseudo-heterozygosity. Genome Biol 2023; 24:44. [PMID: 36895055 PMCID: PMC9999624 DOI: 10.1186/s13059-023-02875-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/13/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND It is apparent that genomes harbor much structural variation that is largely undetected for technical reasons. Such variation can cause artifacts when short-read sequencing data are mapped to a reference genome. Spurious SNPs may result from mapping of reads to unrecognized duplicated regions. Calling SNP using the raw reads of the 1001 Arabidopsis Genomes Project we identified 3.3 million (44%) heterozygous SNPs. Given that Arabidopsis thaliana (A. thaliana) is highly selfing, and that extensively heterozygous individuals have been removed, we hypothesize that these SNPs reflected cryptic copy number variation. RESULTS The heterozygosity we observe consists of particular SNPs being heterozygous across individuals in a manner that strongly suggests it reflects shared segregating duplications rather than random tracts of residual heterozygosity due to occasional outcrossing. Focusing on such pseudo-heterozygosity in annotated genes, we use genome-wide association to map the position of the duplicates. We identify 2500 putatively duplicated genes and validate them using de novo genome assemblies from six lines. Specific examples included an annotated gene and nearby transposon that transpose together. We also demonstrate that cryptic structural variation produces highly inaccurate estimates of DNA methylation polymorphism. CONCLUSIONS Our study confirms that most heterozygous SNP calls in A. thaliana are artifacts and suggest that great caution is needed when analyzing SNP data from short-read sequencing. The finding that 10% of annotated genes exhibit copy-number variation, and the realization that neither gene- nor transposon-annotation necessarily tells us what is actually mobile in the genome suggests that future analyses based on independently assembled genomes will be very informative.
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Affiliation(s)
- Benjamin Jaegle
- Gregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter, Vienna, Austria
| | - Rahul Pisupati
- Gregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter, Vienna, Austria
| | | | - Robin Burns
- Gregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter, Vienna, Austria
- Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | | | - Magnus Nordborg
- Gregor Mendel Institute, Austrian Academy of Sciences, Vienna Biocenter, Vienna, Austria.
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10
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CRISPR/Cas9-Mediated Enrichment Coupled to Nanopore Sequencing Provides a Valuable Tool for the Precise Reconstruction of Large Genomic Target Regions. Int J Mol Sci 2023; 24:ijms24021076. [PMID: 36674592 PMCID: PMC9863143 DOI: 10.3390/ijms24021076] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/23/2022] [Accepted: 12/24/2022] [Indexed: 01/09/2023] Open
Abstract
Complete and accurate identification of genetic variants associated with specific phenotypes can be challenging when there is a high level of genomic divergence between individuals in a study and the corresponding reference genome. We have applied the Cas9-mediated enrichment coupled to nanopore sequencing to perform a targeted de novo assembly and accurately reconstruct a genomic region of interest. This approach was used to reconstruct a 250-kbp target region on chromosome 5 of the common bean genome (Phaseolus vulgaris) associated with the shattering phenotype. Comparing a non-shattering cultivar (Midas) with the reference genome revealed many single-nucleotide variants and structural variants in this region. We cut five 50-kbp tiled sub-regions of Midas genomic DNA using Cas9, followed by sequencing on a MinION device and de novo assembly, generating a single contig spanning the whole 250-kbp region. This assembly increased the number of Illumina reads mapping to genes in the region, improving their genotypability for downstream analysis. The Cas9 tiling approach for target enrichment and sequencing is a valuable alternative to whole-genome sequencing for the assembly of ultra-long regions of interest, improving the accuracy of downstream genotype-phenotype association analysis.
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Liang L, Zhang J, Xiao J, Li X, Xie Y, Tan H, Song X, Zhu L, Xue X, Xu L, Zhou P, Ran J, Sun B, Huang Z, Tang Y, Lin L, Sun G, Lai Y, Li H. Genome and pan-genome assembly of asparagus bean ( Vigna unguiculata ssp. sesquipedialis) reveal the genetic basis of cold adaptation. FRONTIERS IN PLANT SCIENCE 2022; 13:1059804. [PMID: 36589110 PMCID: PMC9802904 DOI: 10.3389/fpls.2022.1059804] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
Asparagus bean (Vigna unguiculata ssp. sesquipedialis) is an important cowpea subspecies. We assembled the genomes of Ningjiang 3 (NJ, 550.31 Mb) and Dubai bean (DB, 564.12 Mb) for comparative genomics analysis. The whole-genome duplication events of DB and NJ occurred at 64.55 and 64.81 Mya, respectively, while the divergence between soybean and Vigna occurred in the Paleogene period. NJ genes underwent positive selection and amplification in response to temperature and abiotic stress. In species-specific gene families, NJ is mainly enriched in response to abiotic stress, while DB is primarily enriched in respiration and photosynthesis. We established the pan-genomes of four accessions (NJ, DB, IT97K-499-35 and Xiabao II) and identified 20,336 (70.5%) core genes present in all the accessions, 6,507 (55.56%) variable genes in two individuals, and 2,004 (6.95%) unique genes. The final pan genome is 616.35 Mb, and the core genome is 399.78 Mb. The variable genes are manifested mainly in stress response functions, ABC transporters, seed storage, and dormancy control. In the pan-genome sequence variation analysis, genes affected by presence/absence variants were enriched in biological processes associated with defense responses, immune system processes, signal transduction, and agronomic traits. The results of the present study provide genetic data that could facilitate efficient asparagus bean genetic improvement, especially in producing cold-adapted asparagus bean.
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Affiliation(s)
- Le Liang
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jianwei Zhang
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jiachang Xiao
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xiaomei Li
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
- Vegetable Germplasm Innovation and Variety Improvement Key Laboratory of Sichuan, Chengdu, China
| | - Yongdong Xie
- Institute for Processing and Storage of Agricultural Products, Chengdu Academy of Agriculture and Forestry Sciences, Chengdu, China
| | - Huaqiang Tan
- Horticulture Research Institute, Chengdu Academy of Agriculture and Forestry Sciences, Chengdu, China
| | - Xueping Song
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Li Zhu
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xinru Xue
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Linyu Xu
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Peihan Zhou
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jianzhao Ran
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Bo Sun
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Zhi Huang
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Yi Tang
- Institute of Pomology and Olericulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Lijin Lin
- Institute of Pomology and Olericulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Guochao Sun
- College of Horticulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Yunsun Lai
- Institute of Pomology and Olericulture, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Huanxiu Li
- Institute of Pomology and Olericulture, Sichuan Agricultural University, Chengdu, Sichuan, China
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Advanced Breeding for Biotic Stress Resistance in Poplar. PLANTS 2022; 11:plants11152032. [PMID: 35956510 PMCID: PMC9370193 DOI: 10.3390/plants11152032] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 07/29/2022] [Accepted: 08/01/2022] [Indexed: 12/20/2022]
Abstract
Poplar is one of the most important forest trees because of its high economic value. Thanks to the fast-growing rate, easy vegetative propagation and transformation, and availability of genomic resources, poplar has been considered the model species for forest genetics, genomics, and breeding. Being a field-growing tree, poplar is exposed to environmental threats, including biotic stresses that are becoming more intense and diffused because of global warming. Current poplar farming is mainly based on monocultures of a few elite clones and the expensive and long-term conventional breeding programmes of perennial tree species cannot face current climate-change challenges. Consequently, new tools and methods are necessary to reduce the limits of traditional breeding related to the long generation time and to discover new sources of resistance. Recent advances in genomics, marker-assisted selection, genomic prediction, and genome editing offer powerful tools to efficiently exploit the Populus genetic diversity and allow enabling molecular breeding to support accurate early selection, increasing the efficiency, and reducing the time and costs of poplar breeding, that, in turn, will improve our capacity to face or prevent the emergence of new diseases or pests.
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Du C, Sun P, Cheng X, Zhang L, Wang L, Hu J. QTL mapping of drought-related traits in the hybrids of Populus deltoides 'Danhong'×Populus simonii 'Tongliao1'. BMC PLANT BIOLOGY 2022; 22:238. [PMID: 35545765 PMCID: PMC9092850 DOI: 10.1186/s12870-022-03613-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 04/21/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Poplar trees provide a large amount of wood material, but many parts of the world are arid or semi-arid areas because of insufficient annual precipitation, which seriously affects the growth of poplar trees. Populus simonii 'Tongliao1' shows strong tolerance to stress environments, and Populus deltoides 'Danhong' shows a stronger growth rate in a suitable environment. To identify drought tolerance-related QTLs and genes, an F1 population derived from the cross between the 'Danhong' and 'Tongliao 1' Populus was assessed under drought stress. RESULTS We measured drought-related traits such as the relative height growth, relative diameter growth, leaf senescence number, specific leaf area, and leaf relative water content in the population under control and drought environments. The results showed that drought stress reduced the plant height relative growth, ground diameter relative growth, specific leaf area and leaf relative water content and increased the number of leaf drops. A total of 208 QTLs were identified by QTL mapping analysis, and they consisted of 92, 63 and 53 QTLs under control, drought stress treatment and drought index conditions, respectively. A molecular identification marker for drought tolerance, np2841, which was associated with a QTL (qDLRWC-LG10-1) for relative leaf water content, was initially developed. We mined 187 candidate genes for QTL regions of five traits under a drought environment. The reference genome annotation for Populus trichocarpa and a homologous gene analysis of Arabidopsis thaliana identified two candidate genes, Potri.003G171300 and Potri.012G123900, with significant functions in response to drought stress. We identified five key regulatory genes (Potri.006G273500, Potri.007G111500, Potri.007G111600, Potri.007G111700, and Potri.007G111800) related to drought tolerance through the poplar coexpression network. CONCLUSION In this study, our results indicate that the QTLs can effectively enhance the drought tolerance of poplar. It is a step closer towards unravelling the genetic basis of poplar drought tolerance-related traits, and to providing validated candidate genes and molecular markers for future genetic improvement.
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Affiliation(s)
- Changjian Du
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Pei Sun
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100093, China
| | - Xingqi Cheng
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Lei Zhang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Lijuan Wang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China
| | - Jianjun Hu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China.
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, Jiangsu, China.
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Yocca AE, Edger PP. Machine learning approaches to identify core and dispensable genes in pangenomes. THE PLANT GENOME 2022; 15:e20135. [PMID: 34533282 DOI: 10.1002/tpg2.20135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 06/16/2021] [Indexed: 05/25/2023]
Abstract
A gene in a given taxonomic group is either present in every individual (core) or absent in at least a single individual (dispensable). Previous pangenomic studies have identified certain functional differences between core and dispensable genes. However, identifying if a gene belongs to the core or dispensable portion of the genome requires the construction of a pangenome, which involves sequencing the genomes of many individuals. Here we aim to leverage the previously characterized core and dispensable gene content for two grass species [Brachypodium distachyon (L.) P. Beauv. and Oryza sativa L.] to construct a machine learning model capable of accurately classifying genes as core or dispensable using only a single annotated reference genome. Such a model may mitigate the need for pangenome construction, an expensive hurdle especially in orphan crops, which often lack the adequate genomic resources.
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Affiliation(s)
- Alan E Yocca
- Dep. of Plant Biology, Michigan State Univ., East Lansing, MI, 48824, USA
- Dep. of Horticulture, Michigan State Univ., East Lansing, MI, 48824, USA
| | - Patrick P Edger
- Dep. of Horticulture, Michigan State Univ., East Lansing, MI, 48824, USA
- Genetics and Genome Sciences Program, Michigan State Univ., East Lansing, MI, 48824, USA
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Maestri S, Gambino G, Lopatriello G, Minio A, Perrone I, Cosentino E, Giovannone B, Marcolungo L, Alfano M, Rombauts S, Cantu D, Rossato M, Delledonne M, Calderón L. 'Nebbiolo' genome assembly allows surveying the occurrence and functional implications of genomic structural variations in grapevines (Vitis vinifera L.). BMC Genomics 2022; 23:159. [PMID: 35209840 PMCID: PMC8867635 DOI: 10.1186/s12864-022-08389-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 02/15/2022] [Indexed: 12/18/2022] Open
Abstract
Background ‘Nebbiolo’ is a grapevine cultivar typical of north-western Italy, appreciated for producing high-quality red wines. Grapevine cultivars are characterized by possessing highly heterozygous genomes, including a great incidence of genomic rearrangements larger than 50 bp, so called structural variations (SVs). Even though abundant, SVs are an under-explored source of genetic variation mainly due to methodological limitations at their detection. Results We employed a multiple platform approach to produce long-range genomic data for two different ‘Nebbiolo’ clones, namely: optical mapping, long-reads and linked-reads. We performed a haplotype-resolved de novo assembly for cultivar ‘Nebbiolo’ (clone CVT 71) and used an ab-initio strategy to annotate it. The annotated assembly enhanced our ability to detect SVs, enabling the study of genomic regions not present in the grapevines’ reference genome and accounting for their functional implications. We performed variant calling analyses at three different organizational levels: i) between haplotypes of clone CVT 71 (primary assembly vs haplotigs), ii) between ‘Nebbiolo’ and ‘Cabernet Sauvignon’ assemblies and iii) between clones CVT 71 and CVT 185, representing different ‘Nebbiolo’ biotypes. The cumulative size of non-redundant merged SVs indicated a total of 79.6 Mbp for the first comparison and 136.1 Mbp for the second one, while no SVs were detected for the third comparison. Interestingly, SVs differentiating cultivars and haplotypes affected similar numbers of coding genes. Conclusions Our results suggest that SVs accumulation rate and their functional implications in ‘Nebbiolo’ genome are highly-dependent on the organizational level under study. SVs are abundant when comparing ‘Nebbiolo’ to a different cultivar or the two haplotypes of the same individual, while they turned absent between the two analysed clones. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08389-9.
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Affiliation(s)
- Simone Maestri
- Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Giorgio Gambino
- Institute for Sustainable Plant Protection, National Research Council (IPSP-CNR), Strada delle Cacce 73, 10135, Torino, Italy
| | - Giulia Lopatriello
- Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Andrea Minio
- Department of Viticulture & Enology, University of California Davis, 595 Hilgard Lane, Davis, CA, 95616, USA
| | - Irene Perrone
- Institute for Sustainable Plant Protection, National Research Council (IPSP-CNR), Strada delle Cacce 73, 10135, Torino, Italy
| | - Emanuela Cosentino
- Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Barbara Giovannone
- Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Luca Marcolungo
- Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Massimiliano Alfano
- Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Stephane Rombauts
- Department of Bioinformatics and Systems Biology, Ghent University, Technologiepark 927, B-9052, Gent, Belgium.,VIB Center for Plant Systems Biology, 9052, Gent, Belgium
| | - Dario Cantu
- Department of Viticulture & Enology, University of California Davis, 595 Hilgard Lane, Davis, CA, 95616, USA
| | - Marzia Rossato
- Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy
| | - Massimo Delledonne
- Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134, Verona, Italy.
| | - Luciano Calderón
- Instituto de Biología Agrícola de Mendoza (IBAM, CONICET-UNCuyo), Almirante Brown 500, M5528AHB. Chacras de Coria, Mendoza, Argentina.
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Tay Fernandez CG, Nestor BJ, Danilevicz MF, Marsh JI, Petereit J, Bayer PE, Batley J, Edwards D. Expanding Gene-Editing Potential in Crop Improvement with Pangenomes. Int J Mol Sci 2022; 23:ijms23042276. [PMID: 35216392 PMCID: PMC8879065 DOI: 10.3390/ijms23042276] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/14/2022] [Accepted: 02/15/2022] [Indexed: 02/01/2023] Open
Abstract
Pangenomes aim to represent the complete repertoire of the genome diversity present within a species or cohort of species, capturing the genomic structural variance between individuals. This genomic information coupled with phenotypic data can be applied to identify genes and alleles involved with abiotic stress tolerance, disease resistance, and other desirable traits. The characterisation of novel structural variants from pangenomes can support genome editing approaches such as Clustered Regularly Interspaced Short Palindromic Repeats and CRISPR associated protein Cas (CRISPR-Cas), providing functional information on gene sequences and new target sites in variant-specific genes with increased efficiency. This review discusses the application of pangenomes in genome editing and crop improvement, focusing on the potential of pangenomes to accurately identify target genes for CRISPR-Cas editing of plant genomes while avoiding adverse off-target effects. We consider the limitations of applying CRISPR-Cas editing with pangenome references and potential solutions to overcome these limitations.
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Galewski P, Funk A, McGrath JM. Select and Sequence of a Segregating Sugar Beet Population Provides Genomic Perspective of Host Resistance to Seedling Rhizoctonia solani Infection. FRONTIERS IN PLANT SCIENCE 2022; 12:785267. [PMID: 35095959 PMCID: PMC8793884 DOI: 10.3389/fpls.2021.785267] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/12/2021] [Indexed: 05/15/2023]
Abstract
Understanding the genetic basis of polygenic traits is a major challenge in agricultural species, especially in non-model systems. Select and sequence (SnS) experiments carried out within existing breeding programs provide a means to simultaneously identify the genomic background of a trait while improving the mean phenotype for a population. Using pooled whole genome sequencing (WGS) of selected and unselected bulks derived from a synthetic outcrossing sugar beet population EL57 (PI 663212), which segregates for seedling rhizoctonia resistance, we identified a putative genomic background involved in conditioning a resistance phenotype. Population genomic parameters were estimated to measure fixation (He), genome divergence (F ST ), and allele frequency changes between bulks (DeltaAF). We report on the genome wide patterns of variation resulting from selection and highlight specific genomic features associated with resistance. Expected heterozygosity (He) showed an increased level of fixation in the resistant bulk, indicating a greater selection pressure was applied. In total, 1,311 biallelic loci were detected as significant FST outliers (p < 0.01) in comparisons between the resistant and susceptible bulks. These loci were detected in 206 regions along the chromosomes and contained 275 genes. We estimated changes in allele frequency between bulks resulting from selection for resistance by leveraging the allele frequencies of an unselected bulk. DeltaAF was a more stringent test of selection and recovered 186 significant loci, representing 32 genes, all of which were also detected using FST. Estimates of population genetic parameters and statistical significance were visualized with respect to the EL10.2 physical map and produced a candidate gene list that was enriched for function in cell wall metabolism and plant disease resistance, including pathogen perception, signal transduction, and pathogen response. Specific variation associated with these genes was also reported and represents genetic markers for validation and prediction of resistance to Rhizoctonia. Select and sequence experiments offer a means to characterize the genetic base of sugar beet, inform selection within breeding programs, and prioritize candidate variation for functional studies.
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Affiliation(s)
- Paul Galewski
- United States Department of Agriculture – Agricultural Research Service (USDA-ARS) Northwest Irrigation and Soils Research Laboratory, Kimberly, ID, United States
- Department of Plant, Soil, and Microbial Science, Plant Breeding, Genetics, and Biotechnology Program, Michigan State University, East Lansing, MI, United States
| | - Andrew Funk
- Department of Plant, Soil, and Microbial Science, Plant Breeding, Genetics, and Biotechnology Program, Michigan State University, East Lansing, MI, United States
- United States Department of Agriculture – National Institute of Food and Agriculture (USDA-NIFA) Institute of Food Production and Sustainability, Kansas City, MO, United States
| | - J. Mitchell McGrath
- United States Department of Agriculture – Agricultural Research Service (USDA-ARS) Sugar Beet and Bean Research Unit USDA-ARS, East Lansing, MI, United States
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Tay Fernandez C. Making a Pangenome Using the Iterative Mapping Approach. Methods Mol Biol 2022; 2443:259-271. [PMID: 35037211 DOI: 10.1007/978-1-0716-2067-0_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Pangenomes have replaced single reference genomes as genetic references, as they contain a better scope of the diversity found in a single species. This protocol outlines the iterative mapping approach in constructing a pangenome, including how to check the raw data, align the data to a reference, how to assemble the data, and how to remove potential contaminants from the final assembly.
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Pook T, Nemri A, Gonzalez Segovia EG, Valle Torres D, Simianer H, Schoen CC. Increasing calling accuracy, coverage, and read-depth in sequence data by the use of haplotype blocks. PLoS Genet 2021; 17:e1009944. [PMID: 34941872 PMCID: PMC8699914 DOI: 10.1371/journal.pgen.1009944] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 11/13/2021] [Indexed: 01/16/2023] Open
Abstract
High-throughput genotyping of large numbers of lines remains a key challenge in plant genetics, requiring geneticists and breeders to find a balance between data quality and the number of genotyped lines under a variety of different existing genotyping technologies when resources are limited. In this work, we are proposing a new imputation pipeline (“HBimpute”) that can be used to generate high-quality genomic data from low read-depth whole-genome-sequence data. The key idea of the pipeline is the use of haplotype blocks from the software HaploBlocker to identify locally similar lines and subsequently use the reads of all locally similar lines in the variant calling for a specific line. The effectiveness of the pipeline is showcased on a dataset of 321 doubled haploid lines of a European maize landrace, which were sequenced at 0.5X read-depth. The overall imputing error rates are cut in half compared to state-of-the-art software like BEAGLE and STITCH, while the average read-depth is increased to 83X, thus enabling the calling of copy number variation. The usefulness of the obtained imputed data panel is further evaluated by comparing the performance of sequence data in common breeding applications to that of genomic data generated with a genotyping array. For both genome-wide association studies and genomic prediction, results are on par or even slightly better than results obtained with high-density array data (600k). In particular for genomic prediction, we observe slightly higher data quality for the sequence data compared to the 600k array in the form of higher prediction accuracies. This occurred specifically when reducing the data panel to the set of overlapping markers between sequence and array, indicating that sequencing data can benefit from the same marker ascertainment as used in the array process to increase the quality and usability of genomic data. High-throughput genotyping of large numbers of lines remains a key challenge in plant genetics and breeding. Cost, precision, and throughput must be balanced to achieve optimal efficiency given available technologies and finite resources. Although genotyping arrays are still considered the gold standard in high-throughput quantitative genetics, recent advances in sequencing provide new opportunities. Both the quality and cost of genomic data generated based on sequencing are highly dependent on the used read-depth. In this work, we propose a new imputation pipeline (“HBimpute”) that uses haplotype blocks to detect individuals of the same genetic origin and subsequently uses all reads of those individuals in the variant calling. Thus, the obtained virtual read-depth is artificially increased, leading to higher calling accuracy, coverage, and the ability to call copy number variation based on low read-depth sequencing data. To conclude, our approach makes sequencing a cost-competitive alternative to genotyping arrays with the added benefit of allowing the calling of structural variation.
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Affiliation(s)
- Torsten Pook
- Center for Integrated Breeding Research, Animal Breeding and Genetics Group, University of Goettingen, Goettingen, Germany
- * E-mail:
| | | | | | - Daniel Valle Torres
- Plant Breeding, Technical University of Munich, TUM School of Life Sciences Weihenstephan, Freising, Germany
| | - Henner Simianer
- Center for Integrated Breeding Research, Animal Breeding and Genetics Group, University of Goettingen, Goettingen, Germany
| | - Chris-Carolin Schoen
- Plant Breeding, Technical University of Munich, TUM School of Life Sciences Weihenstephan, Freising, Germany
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Yuan Y, Bayer PE, Batley J, Edwards D. Current status of structural variation studies in plants. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:2153-2163. [PMID: 34101329 PMCID: PMC8541774 DOI: 10.1111/pbi.13646] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 05/31/2021] [Accepted: 06/03/2021] [Indexed: 05/23/2023]
Abstract
Structural variations (SVs) including gene presence/absence variations and copy number variations are a common feature of genomes in plants and, together with single nucleotide polymorphisms and epigenetic differences, are responsible for the heritable phenotypic diversity observed within and between species. Understanding the contribution of SVs to plant phenotypic variation is important for plant breeders to assist in producing improved varieties. The low resolution of early genetic technologies and inefficient methods have previously limited our understanding of SVs in plants. However, with the rapid expansion in genomic technologies, it is possible to assess SVs with an ever-greater resolution and accuracy. Here, we review the current status of SV studies in plants, examine the roles that SVs play in phenotypic traits, compare current technologies and assess future challenges for SV studies.
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Affiliation(s)
- Yuxuan Yuan
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaPerthWAAustralia
- School of Life Sciences and State Key Laboratory for AgrobiotechnologyThe Chinese University of Hong KongHong Kong SARChina
| | - Philipp E. Bayer
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaPerthWAAustralia
| | - Jacqueline Batley
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaPerthWAAustralia
| | - David Edwards
- School of Biological Sciences and Institute of AgricultureThe University of Western AustraliaPerthWAAustralia
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21
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An X, Gao K, Chen Z, Li J, Yang X, Yang X, Zhou J, Guo T, Zhao T, Huang S, Miao D, Ullah Khan W, Rao P, Ye M, Lei B, Liao W, Wang J, Ji L, Li Y, Guo B, Siddig Mustafa N, Li S, Yun Q, Keller SR, Mao JF, Zhang RG, Strauss SH. High quality haplotype-resolved genome assemblies of Populus tomentosa Carr., a stabilized interspecific hybrid species widespread in Asia. Mol Ecol Resour 2021; 22:786-802. [PMID: 34549890 DOI: 10.1111/1755-0998.13507] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 08/19/2021] [Accepted: 09/09/2021] [Indexed: 11/30/2022]
Abstract
Populus has a wide ecogeographical range spanning the Northern Hemisphere, and interspecific hybrids are common. Populus tomentosa Carr. is widely distributed and cultivated in the eastern region of Asia, where it plays multiple important roles in forestry, agriculture, conservation, and urban horticulture. Reference genomes are available for several Populus species, however, our goals were to produce a very high quality de novo chromosome-level genome assembly in P. tomentosa genome that could serve as a reference for evolutionary and ecological studies of hybrid speciation throughout the genus. Here, combining long-read sequencing and Hi-C scaffolding, we present a high-quality, haplotype-resolved genome assembly. The genome size was 740.2 Mb, with a contig N50 size of 5.47 Mb and a scaffold N50 size of 46.68 Mb, consisting of 38 chromosomes, as expected with the known diploid chromosome number (2n = 2x = 38). A total of 59,124 protein-coding genes were identified. Phylogenomic analyses revealed that P. tomentosa is comprised of two distinct subgenomes, which we deomonstrate is likely to have resulted from hybridization between Populus adenopoda as the female parent and Populus alba var. pyramidalis as the male parent, with an origin of approximately 3.93 Ma. Although highly colinear, significant structural variation was found between the two subgenomes. Our study provides a valuable resource for ecological genetics and forest biotechnology.
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Affiliation(s)
- Xinmin An
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Kai Gao
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Zhong Chen
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Juan Li
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Xiong Yang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Xiaoyu Yang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Jing Zhou
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Ting Guo
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Tianyun Zhao
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Sai Huang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Deyu Miao
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Wasif Ullah Khan
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Pian Rao
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Meixia Ye
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Bingqi Lei
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Weihua Liao
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Jia Wang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Lexiang Ji
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Ying Li
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Bin Guo
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Shanxi Academy of Forestry, Taiyuan, China
| | - Nada Siddig Mustafa
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Shanwen Li
- Shandong Academy of Forestry, Jinan, China
| | | | - Stephen R Keller
- Department of Plant Biology, University of Vermont, Burlington, Vermont, USA
| | - Jian-Feng Mao
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, China.,National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China.,Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, MOE, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | | | - Steven H Strauss
- Department of Forest Ecosystems and Society, Oregon State University, Corvallis, Oregon, USA
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22
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Rodriguez-Zaccaro FD, Henry IM, Groover A. Genetic Regulation of Vessel Morphology in Populus. FRONTIERS IN PLANT SCIENCE 2021; 12:705596. [PMID: 34497621 PMCID: PMC8419429 DOI: 10.3389/fpls.2021.705596] [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: 05/05/2021] [Accepted: 07/05/2021] [Indexed: 06/13/2023]
Abstract
During secondary growth, forest trees can modify the anatomy of the wood produced by the vascular cambium in response to environmental conditions. Notably, the trees of the model angiosperm genus, Populus, reduce the risk of cavitation and hydraulic failure under water stress by producing water-conducting vessel elements with narrow lumens, which are more numerous and more interconnected with each other. Here, we determined the genetic architecture of vessel traits affecting hydraulic physiology and resilience to water stress. Vessel traits were measured for clonally replicated genotypes of a unique Populus deltoides x nigra population carrying genomically defined insertions and deletions that create gene dosage variation. We found significant phenotypic variation for all traits measured (mean vessel diameter, height-corrected mean vessel diameter, vessel frequency, height-corrected vessel frequency, vessel grouping index, and mean vessel circularity), and that all traits were under genetic control and showed moderate heritability values, ranging from 0.32 to 0.53. Whole-genome scans of correlations between gene dosage and phenotypic traits identified quantitative trait loci for tree height, mean vessel diameter, height-corrected mean vessel diameter, height-corrected vessel frequency, and vessel grouping index. Our results demonstrate that vessel traits affecting hydraulic physiology are under genetic control, and both pleiotropic and trait-specific quantitative trait loci are found for these traits.
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Affiliation(s)
- F. Daniela Rodriguez-Zaccaro
- US Forest Service, Pacific Southwest Research Station, Davis, CA, United States
- Department of Plant Biology, University of California, Davis, Davis, CA, United States
| | - Isabelle M. Henry
- Department of Plant Biology, University of California, Davis, Davis, CA, United States
| | - Andrew Groover
- US Forest Service, Pacific Southwest Research Station, Davis, CA, United States
- Department of Plant Biology, University of California, Davis, Davis, CA, United States
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23
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Zheng Y, Li S, Huang J, Fu H, Zhou L, Furusawa Y, Shu Q. Identification and characterization of inheritable structural variations induced by ion beam radiations in rice. Mutat Res 2021; 823:111757. [PMID: 34271440 DOI: 10.1016/j.mrfmmm.2021.111757] [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: 07/02/2020] [Revised: 06/15/2021] [Accepted: 06/17/2021] [Indexed: 12/01/2022]
Abstract
High energy ion beams are effective physical mutagens for mutation induction in plants. Due to their high linear energy transfer (LET) property, they are known to generate single nucleotide variations (SNVs) and insertion/deletions (InDels, <50 bp) as well as structural variations (SVs). However, due to the technical difficulties to identify SVs, studies on ion beam induced SVs by genome sequencing have so far been limited in numbers and inadequate in nature, and knowledge of SVs is scarce with regards to their characteristics. In the present study, we identified and validated SVs in six M4 plants (designated as Ar_50, Ar_100, C_150, C_200, Ne_50 and Ne_100 according to ion beam types and irradiation doses), two each induced by argon (40Ar18+), carbon (12C6+) and neon (20Ne10+) ion beams and performed in depth analyses of their characteristics. In total, 22 SVs were identified and validated, consisting of 11 deletions, 1 duplication, and 4 intra-chromosomal and 6 inter-chromosomal translocations. There were several SVs larger than 1 kbp. The SVs were distributed across the whole genome with an aggregation with SNVs and InDels only in the Ne_50 mutants. An enrichment of a 11-bp wide G-rich DNA motif 'GAAGGWGGRGG' was identified around the SV breakpoints. Three mechanisms might be involved in the SV formation, i.e., the expansion of tandem repeats, transposable element insertion, and non-allelic homologous recombination. Put together, the present study provides a preliminary view of SVs induced by Ar, C and Ne ion beam radiations, and as a pilot study, it contributes to our understanding of how SVs might form after ion beam irradiation in rice.
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Affiliation(s)
- Yunchao Zheng
- National Key Laboratory of Rice Biology, Institute of Crop Sciences, Zhejiang University, Hangzhou, 310058, China; Institute of Nuclear-Agricultural Sciences, Zhejiang University, Hangzhou, 310058, China.
| | - Shan Li
- National Key Laboratory of Rice Biology, Institute of Crop Sciences, Zhejiang University, Hangzhou, 310058, China; Zhejiang Provincial Key Laboratory of Crop Germplasm, Zhejiang University, Hangzhou, 310058, China.
| | - Jianzhong Huang
- Institute of Nuclear-Agricultural Sciences, Zhejiang University, Hangzhou, 310058, China.
| | - Haowei Fu
- Jiaxing Academy of Agricultural Science, Jiaxing, Zhejiang, 314016, China.
| | - Libin Zhou
- Biophysics Group, Biomedical Research Center, Institute of Modern Physics, Chinese Academy of Science, Lanzhou, 730000, China.
| | - Yoshiya Furusawa
- Department of Basic Medical Sciences for Radiation Damages, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, 263-8555, Japan.
| | - Qingyao Shu
- National Key Laboratory of Rice Biology, Institute of Crop Sciences, Zhejiang University, Hangzhou, 310058, China; Zhejiang Provincial Key Laboratory of Crop Germplasm, Zhejiang University, Hangzhou, 310058, China.
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24
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Barragan AC, Weigel D. Plant NLR diversity: the known unknowns of pan-NLRomes. THE PLANT CELL 2021; 33:814-831. [PMID: 33793812 PMCID: PMC8226294 DOI: 10.1093/plcell/koaa002] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 10/23/2020] [Indexed: 05/20/2023]
Abstract
Plants and pathogens constantly adapt to each other. As a consequence, many members of the plant immune system, and especially the intracellular nucleotide-binding site leucine-rich repeat receptors, also known as NOD-like receptors (NLRs), are highly diversified, both among family members in the same genome, and between individuals in the same species. While this diversity has long been appreciated, its true extent has remained unknown. With pan-genome and pan-NLRome studies becoming more and more comprehensive, our knowledge of NLR sequence diversity is growing rapidly, and pan-NLRomes provide powerful platforms for assigning function to NLRs. These efforts are an important step toward the goal of comprehensively predicting from sequence alone whether an NLR provides disease resistance, and if so, to which pathogens.
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Affiliation(s)
- A Cristina Barragan
- Department of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany
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25
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Bastiaanse H, Henry IM, Tsai H, Lieberman M, Canning C, Comai L, Groover A. A systems genetics approach to deciphering the effect of dosage variation on leaf morphology in Populus. THE PLANT CELL 2021; 33:940-960. [PMID: 33793772 PMCID: PMC8226299 DOI: 10.1093/plcell/koaa016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 10/30/2020] [Indexed: 05/05/2023]
Abstract
Gene copy number variation is frequent in plant genomes of various species, but the impact of such gene dosage variation on morphological traits is poorly understood. We used a large population of Populus carrying genomically characterized insertions and deletions across the genome to systematically assay the effect of gene dosage variation on a suite of leaf morphology traits. A systems genetics approach was used to integrate insertion and deletion locations, leaf morphology phenotypes, gene expression, and transcriptional network data, to provide an overview of how gene dosage influences morphology. Dosage-sensitive genomic regions were identified that influenced individual or pleiotropic morphological traits. We also identified cis-expression quantitative trait loci (QTL) within these dosage QTL regions, a subset of which modulated trans-expression QTL as well. Integration of data types within a gene co-expression framework identified co-expressed gene modules that are dosage sensitive, enriched for dosage expression QTL, and associated with morphological traits. Functional description of these modules linked dosage-sensitive morphological variation to specific cellular processes, as well as candidate regulatory genes. Together, these results show that gene dosage variation can influence morphological variation through complex changes in gene expression, and suggest that frequently occurring gene dosage variation has the potential to likewise influence quantitative traits in nature.
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Affiliation(s)
- Héloïse Bastiaanse
- Present address: VIB Center for Plant Systems Biology, Ghent University, 9052 Ghent, Belgium
| | - Isabelle M Henry
- Genome Center, University of California Davis, Davis 95616
- Department of Plant Biology, University of California Davis, Davis 95616
| | - Helen Tsai
- Genome Center, University of California Davis, Davis 95616
- Department of Plant Biology, University of California Davis, Davis 95616
| | - Meric Lieberman
- Genome Center, University of California Davis, Davis 95616
- Department of Plant Biology, University of California Davis, Davis 95616
| | - Courtney Canning
- Pacific Southwest Research Station, US Forest Service, Davis, California 95618
| | - Luca Comai
- Genome Center, University of California Davis, Davis 95616
- Department of Plant Biology, University of California Davis, Davis 95616
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26
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Vangelisti A, Simoni S, Usai G, Ventimiglia M, Natali L, Cavallini A, Mascagni F, Giordani T. LTR-retrotransposon dynamics in common fig (Ficus carica L.) genome. BMC PLANT BIOLOGY 2021; 21:221. [PMID: 34000996 PMCID: PMC8127270 DOI: 10.1186/s12870-021-02991-x] [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: 12/24/2020] [Accepted: 04/15/2021] [Indexed: 05/10/2023]
Abstract
BACKGROUND Long Terminal Repeat retrotransposons (LTR-REs) are repetitive DNA sequences that constitute a large part of the genome. The improvement of sequencing technologies and sequence assembling strategies has achieved genome sequences with much greater reliability than those of the past, especially in relation to repetitive DNA sequences. RESULTS In this study, we analysed the genome of Ficus carica L., obtained using third generation sequencing technologies and recently released, to characterise the complete complement of full-length LTR-REs to study their dynamics during fig genome evolution. A total of 1867 full-length elements were identified. Those belonging to the Gypsy superfamily were the most abundant; among these, the Chromovirus/Tekay lineage was the most represented. For the Copia superfamily, Ale was the most abundant lineage. Measuring the estimated insertion time of each element showed that, on average, Ivana and Chromovirus/Tekay were the youngest lineages of Copia and Gypsy superfamilies, respectively. Most elements were inactive in transcription, both constitutively and in leaves of plants exposed to an abiotic stress, except for some elements, mostly belonging to the Copia/Ale lineage. A relationship between the inactivity of an element and inactivity of genes lying in close proximity to it was established. CONCLUSIONS The data reported in this study provide one of the first sets of information on the genomic dynamics related to LTR-REs in a plant species with highly reliable genome sequence. Fig LTR-REs are highly heterogeneous in abundance and estimated insertion time, and only a few elements are transcriptionally active. In general, the data suggested a direct relationship between estimated insertion time and abundance of an element and an inverse relationship between insertion time (or abundance) and transcription, at least for Copia LTR-REs.
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Affiliation(s)
- Alberto Vangelisti
- Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali, Università di Pisa, Via del Borghetto 80, 56124, Pisa, Italy
| | - Samuel Simoni
- Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali, Università di Pisa, Via del Borghetto 80, 56124, Pisa, Italy
| | - Gabriele Usai
- Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali, Università di Pisa, Via del Borghetto 80, 56124, Pisa, Italy
| | - Maria Ventimiglia
- Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali, Università di Pisa, Via del Borghetto 80, 56124, Pisa, Italy
| | - Lucia Natali
- Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali, Università di Pisa, Via del Borghetto 80, 56124, Pisa, Italy
| | - Andrea Cavallini
- Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali, Università di Pisa, Via del Borghetto 80, 56124, Pisa, Italy.
| | - Flavia Mascagni
- Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali, Università di Pisa, Via del Borghetto 80, 56124, Pisa, Italy.
| | - Tommaso Giordani
- Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali, Università di Pisa, Via del Borghetto 80, 56124, Pisa, Italy
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27
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Scossa F, Alseekh S, Fernie AR. Integrating multi-omics data for crop improvement. JOURNAL OF PLANT PHYSIOLOGY 2021; 257:153352. [PMID: 33360148 DOI: 10.1016/j.jplph.2020.153352] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/13/2020] [Accepted: 12/14/2020] [Indexed: 05/26/2023]
Abstract
Our agricultural systems are now in urgent need to secure food for a growing world population. To meet this challenge, we need a better characterization of plant genetic and phenotypic diversity. The combination of genomics, transcriptomics and metabolomics enables a deeper understanding of the mechanisms underlying the complex architecture of many phenotypic traits of agricultural relevance. We review the recent advances in plant genomics to see how these can be integrated with broad molecular profiling approaches to improve our understanding of plant phenotypic variation and inform crop breeding strategies.
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Affiliation(s)
- Federico Scossa
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476, Potsdam, Golm, Germany; Council for Agricultural Research and Economics (CREA), Research Centre for Genomics and Bioinformatics (CREA-GB), 00178, Rome, Italy.
| | - Saleh Alseekh
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476, Potsdam, Golm, Germany; Center of Plant Systems Biology and Biotechnology (CPSBB), Plovdiv, Bulgaria
| | - Alisdair R Fernie
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, 14476, Potsdam, Golm, Germany; Center of Plant Systems Biology and Biotechnology (CPSBB), Plovdiv, Bulgaria.
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28
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Tahir Ul Qamar M, Zhu X, Khan MS, Xing F, Chen LL. Pan-genome: A promising resource for noncoding RNA discovery in plants. THE PLANT GENOME 2020; 13:e20046. [PMID: 33217199 DOI: 10.1002/tpg2.20046] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 06/08/2020] [Accepted: 06/22/2020] [Indexed: 05/05/2023]
Abstract
Plant genomes contain both protein-coding and noncoding sequences including transposable elements (TEs) and noncoding RNAs (ncRNAs). The ncRNAs are recognized as important elements that play fundamental roles in the structural organization and function of plant genomes. Despite various hypotheses, TEs are believed to be a major precursor of ncRNAs. Transposable elements are also prime factors that cause genomic variation among members of a species. Hence, TEs pose a major challenge in the discovery and analysis of ncRNAs. With the increase in the number of sequenced plant genomes, it is now accepted that a single reference genome is insufficient to represent the complete genomic diversity and contents of a species, and exploring the pan-genome of a species is critical. In this review, we summarize the recent progress in the field of plant pan-genomes. We also discuss TEs and their roles in ncRNA biogenesis and present our perspectives on the application of pan-genomes for the discovery of ncRNAs to fully explore and exploit their biological roles in plants.
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Affiliation(s)
- Muhammad Tahir Ul Qamar
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Science and Technology, Guangxi University, Nanning, 530004, P. R. China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Xitong Zhu
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Muhammad Sarwar Khan
- Center of Agricultural Biochemistry and Biotechnology, University of Agriculture, Faisalabad, 38000, Pakistan
| | - Feng Xing
- College of Life Science, Xinyang Normal University, Xinyang, 464000, P. R. China
| | - Ling-Ling Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, College of Life Science and Technology, Guangxi University, Nanning, 530004, P. R. China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
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29
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Singewar K, Moschner CR, Hartung E, Fladung M. Identification and analysis of key genes involved in methyl salicylate biosynthesis in different birch species. PLoS One 2020; 15:e0240246. [PMID: 33031447 PMCID: PMC7544025 DOI: 10.1371/journal.pone.0240246] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 09/22/2020] [Indexed: 01/10/2023] Open
Abstract
Species of the perennial woody plant genus Betula dominate subalpine forests and play a significant role in preserving biological diversity. In addition to their conventional benefits, birches synthesize a wide range of secondary metabolites having pharmacological significance. Methyl salicylate (MeSA) is one of these naturally occurring compounds constitutively produced by different birch species. MeSA is therapeutically important in human medicine for muscle injuries and joint pain. However, MeSA is now mainly produced synthetically due to a lack of information relating to MeSA biosynthesis and regulation. In this study, we performed a comprehensive bioinformatics analysis of two candidate genes mediating MeSA biosynthesis, SALICYLIC ACID METHYLTRANSFERASE (SAMT) and SALICYLIC ACID-BINDING PROTEIN 2 (SABP2), of high (B. lenta, B. alleghaniensis, B. medwediewii, and B. grossa) and low (B. pendula, B. utilis, B. alnoides, and B. nana) MeSA-producing birch species. Phylogenetic analyses of SAMT and SABP2 genes and homologous genes from other plant species confirmed their evolutionary relationships. Multiple sequence alignments of the amino acid revealed the occurrence of important residues for substrate specificity in SAMT and SABP2. The analysis of cis elements in different birches indicated a functional multiplicity of SAMT and SABP2 and provided insights into the regulation of both genes. We successfully developed six prominent single nucleotide substitution markers that were validated with 38 additional birch individuals to differentiate high and low MeSA-producing birch species. Relative tissue-specific expression analysis of SAMT in leaf and bark tissue of two high and two low MeSA-synthesizing birches revealed a high expression in the bark of both high MeSA-synthesizing birches. In contrast, SABP2 expression in tissues revealed indifferent levels of expression between species belonging to the two groups. The comparative expression and bioinformatics analyses provided vital information that could be used to apply plant genetic engineering technology in the mass production of organic MeSA.
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Affiliation(s)
- Kiran Singewar
- Institute of Agricultural Process Engineering, Christian-Albrechts University of Kiel, Kiel, Schleswig-Holstein, Germany
- Thünen Institute of Forest Genetics, Grosshansdorf, Schleswig-Holstein, Germany
| | - Christian R. Moschner
- Institute of Agricultural Process Engineering, Christian-Albrechts University of Kiel, Kiel, Schleswig-Holstein, Germany
| | - Eberhard Hartung
- Institute of Agricultural Process Engineering, Christian-Albrechts University of Kiel, Kiel, Schleswig-Holstein, Germany
| | - Matthias Fladung
- Thünen Institute of Forest Genetics, Grosshansdorf, Schleswig-Holstein, Germany
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30
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Bretani G, Rossini L, Ferrandi C, Russell J, Waugh R, Kilian B, Bagnaresi P, Cattivelli L, Fricano A. Segmental duplications are hot spots of copy number variants affecting barley gene content. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 103:1073-1088. [PMID: 32338390 PMCID: PMC7496488 DOI: 10.1111/tpj.14784] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 04/10/2020] [Accepted: 04/14/2020] [Indexed: 05/31/2023]
Abstract
Copy number variants (CNVs) are pervasive in several animal and plant genomes and contribute to shaping genetic diversity. In barley, there is evidence that changes in gene copy number underlie important agronomic traits. The recently released reference sequence of barley represents a valuable genomic resource for unveiling the incidence of CNVs that affect gene content and for identifying sequence features associated with CNV formation. Using exome sequencing and read count data, we detected 16 605 deletions and duplications that affect barley gene content by surveying a diverse panel of 172 cultivars, 171 landraces, 22 wild relatives and other 32 uncategorized domesticated accessions. The quest for segmental duplications (SDs) in the reference sequence revealed many low-copy repeats, most of which overlap predicted coding sequences. Statistical analyses revealed that the incidence of CNVs increases significantly in SD-rich regions, indicating that these sequence elements act as hot spots for the formation of CNVs. The present study delivers a comprehensive genome-wide study of CNVs affecting barley gene content and implicates SDs in the molecular mechanisms that lead to the formation of this class of CNVs.
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Affiliation(s)
- Gianluca Bretani
- Università degli Studi di Milano – DiSAAVia Celoria 220133MilanoItaly
| | - Laura Rossini
- Università degli Studi di Milano – DiSAAVia Celoria 220133MilanoItaly
| | - Chiara Ferrandi
- Parco Tecnologico PadanoLoc. C.na CodazzaVia Einstein26900LodiItaly
| | | | - Robbie Waugh
- James Hutton Institute, InvergowrieDundeeDD2 5DAUK
| | - Benjamin Kilian
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)Corrensstrasse 306466GaterslebenGermany
- Global Crop Diversity TrustPlatz der Vereinten Nationen 753113BonnGermany
| | - Paolo Bagnaresi
- Council for Agricultural Research and Economics – Research Centre for Genomics & BioinformaticsVia San Protaso 30229017Fiorenzuola d'Arda (PC)Italy
| | - Luigi Cattivelli
- Council for Agricultural Research and Economics – Research Centre for Genomics & BioinformaticsVia San Protaso 30229017Fiorenzuola d'Arda (PC)Italy
| | - Agostino Fricano
- Council for Agricultural Research and Economics – Research Centre for Genomics & BioinformaticsVia San Protaso 30229017Fiorenzuola d'Arda (PC)Italy
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Pinosio S, Marroni F, Zuccolo A, Vitulo N, Mariette S, Sonnante G, Aravanopoulos FA, Ganopoulos I, Palasciano M, Vidotto M, Magris G, Iezzoni A, Vendramin GG, Morgante M. A draft genome of sweet cherry (Prunus avium L.) reveals genome-wide and local effects of domestication. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 103:1420-1432. [PMID: 32391598 DOI: 10.1111/tpj.14809] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 04/24/2020] [Accepted: 05/01/2020] [Indexed: 05/26/2023]
Abstract
Sweet cherry (Prunus avium L.) trees are both economically important fruit crops but also important components of natural forest ecosystems in Europe, Asia and Africa. Wild and domesticated trees currently coexist in the same geographic areas with important questions arising on their historical relationships. Little is known about the effects of the domestication process on the evolution of the sweet cherry genome. We assembled and annotated the genome of the cultivated variety "Big Star*" and assessed the genetic diversity among 97 sweet cherry accessions representing three different stages in the domestication and breeding process (wild trees, landraces and modern varieties). The genetic diversity analysis revealed significant genome-wide losses of variation among the three stages and supports a clear distinction between wild and domesticated trees, with only limited gene flow being detected between wild trees and domesticated landraces. We identified 11 domestication sweeps and five breeding sweeps covering, respectively, 11.0 and 2.4 Mb of the P. avium genome. A considerable fraction of the domestication sweeps overlaps with those detected in the related species, Prunus persica (peach), indicating that artificial selection during domestication may have acted independently on the same regions and genes in the two species. We detected 104 candidate genes in sweep regions involved in different processes, such as the determination of fruit texture, the regulation of flowering and fruit ripening and the resistance to pathogens. The signatures of selection identified will enable future evolutionary studies and provide a valuable resource for genetic improvement and conservation programs in sweet cherry.
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Affiliation(s)
- Sara Pinosio
- Institute of Biosciences and Bioresources (IBBR), National Research Council, Via Madonna del Piano 10, Sesto Fiorentino, 50019, Italy
- Istituto di Genomica Applicata (IGA), Via Jacopo Linussio 51, Udine, 33100, Italy
| | - Fabio Marroni
- Istituto di Genomica Applicata (IGA), Via Jacopo Linussio 51, Udine, 33100, Italy
- Dipartimento di Scienze Agro-alimentari Ambientali e Animali (DI4A), Università di Udine, via delle Scienze 206, Udine, 33100, Italy
| | - Andrea Zuccolo
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, 56124, Italy
| | - Nicola Vitulo
- Dipartimento di Biotecnologie, Università degli Studi di Verona, Strada Le Grazie 15, Verona, 37134, Italy
| | - Stephanie Mariette
- BIOGECO, INRA, University of Bordeaux, route d'Arcachon 69, Cestas, 33612, France
| | - Gabriella Sonnante
- Institute of Biosciences and Bioresources (IBBR), National Research Council, via Amendola 165/A, Bari, 70126, Italy
| | - Filippos A Aravanopoulos
- Faculty of Forestry and Natural Environment, Laboratory of Forest Genetics and Tree Breeding, Aristotle University of Thessaloniki, Thessaloníki, 54124, Greece
| | - Ioannis Ganopoulos
- Institute of Plant Breeding and Genetic Resources, Hellenic Agricultural Organization-DEMETER, Thermi, 57001, Greece
| | - Marino Palasciano
- Dipartimento di Scienze del Suolo, Università degli Studi di Bari Aldo Moro, della Pianta e degli Alimenti, Piazza Umberto I, Bari, 70121, Italy
| | - Michele Vidotto
- Istituto di Genomica Applicata (IGA), Via Jacopo Linussio 51, Udine, 33100, Italy
| | - Gabriele Magris
- Istituto di Genomica Applicata (IGA), Via Jacopo Linussio 51, Udine, 33100, Italy
- Dipartimento di Scienze Agro-alimentari Ambientali e Animali (DI4A), Università di Udine, via delle Scienze 206, Udine, 33100, Italy
| | - Amy Iezzoni
- Department of Horticulture, Michigan State University, 1066 Bogue Street, East Lansing, MI, 48824-1325, USA
| | - Giovanni G Vendramin
- Institute of Biosciences and Bioresources (IBBR), National Research Council, Via Madonna del Piano 10, Sesto Fiorentino, 50019, Italy
| | - Michele Morgante
- Istituto di Genomica Applicata (IGA), Via Jacopo Linussio 51, Udine, 33100, Italy
- Dipartimento di Scienze Agro-alimentari Ambientali e Animali (DI4A), Università di Udine, via delle Scienze 206, Udine, 33100, Italy
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Badet T, Croll D. The rise and fall of genes: origins and functions of plant pathogen pangenomes. CURRENT OPINION IN PLANT BIOLOGY 2020; 56:65-73. [PMID: 32480355 DOI: 10.1016/j.pbi.2020.04.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Revised: 04/14/2020] [Accepted: 04/18/2020] [Indexed: 06/11/2023]
Abstract
Plant pathogens can rapidly overcome resistance of their hosts by mutating key pathogenicity genes encoding for effectors. Pathogen adaptation is fuelled by extensive genetic variability in populations and different strains may not share the same set of genes. Recently, such an intra-specific variation in gene content became formalized as pangenomes distinguishing core genes (i.e. shared) and accessory genes (i.e. lineage or strain-specific). Across pathogens species, key effectors tend to be part of the rapidly evolving accessory genome. Here, we show how the construction and analysis of pathogen pangenomes provide deep insights into the dynamic host adaptation process. We also discuss how pangenomes should ideally be built and how geography, niche and lifestyle likely determine pangenome sizes.
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Affiliation(s)
- Thomas Badet
- Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Switzerland
| | - Daniel Croll
- Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Switzerland.
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Bayer PE, Golicz AA, Scheben A, Batley J, Edwards D. Plant pan-genomes are the new reference. NATURE PLANTS 2020; 6:914-920. [PMID: 32690893 DOI: 10.1038/s41477-020-0733-0] [Citation(s) in RCA: 216] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 06/29/2020] [Indexed: 05/18/2023]
Abstract
Recent years have seen a surge in plant genome sequencing projects and the comparison of multiple related individuals. The high degree of genomic variation observed led to the realization that single reference genomes do not represent the diversity within a species, and led to the expansion of the pan-genome concept. Pan-genomes represent the genomic diversity of a species and includes core genes, found in all individuals, as well as variable genes, which are absent in some individuals. Variable gene annotations often show similarities across plant species, with genes for biotic and abiotic stress commonly enriched within variable gene groups. Here we review the growth of pan-genomics in plants, explore the origins of gene presence and absence variation, and show how pan-genomes can support plant breeding and evolution studies.
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Affiliation(s)
- Philipp E Bayer
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
| | - Agnieszka A Golicz
- Plant Molecular Biology and Biotechnology Laboratory, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Melbourne, Victoria, Australia
| | - Armin Scheben
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Jacqueline Batley
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia
| | - David Edwards
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, Western Australia, Australia.
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Zhang Y, Liu C, Cheng H, Tian S, Liu Y, Wang S, Zhang H, Saqib M, Wei H, Wei Z. DNA methylation and its effects on gene expression during primary to secondary growth in poplar stems. BMC Genomics 2020; 21:498. [PMID: 32689934 PMCID: PMC7372836 DOI: 10.1186/s12864-020-06902-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 07/10/2020] [Indexed: 12/24/2022] Open
Abstract
Background As an important epigenetic mark, 5-methylcytosine (5mC) methylation is involved in many DNA-dependent biological processes and plays a role during development and differentiation of multicellular organisms. However, there is still a lack of knowledge about the dynamic aspects and the roles of global 5mC methylation in wood formation in tree trunks. In this study, we not only scrutinized single-base resolution methylomes of primary stems (PS), transitional stems (TS), and secondary stems (SS) of Populus trichocarpa using a high-throughput bisulfite sequencing technique, but also analyzed the effects of 5mC methylation on the expression of genes involved in wood formation. Results The overall average percentages of CG, CHG, and CHH methylation in poplar stems were ~ 53.6%, ~ 37.7%, and ~ 8.5%, respectively, and the differences of 5mC in genome-wide CG/CHG/CHH contexts among PS, TS, and SS were statistically significant (p < 0.05). The evident differences in CG, CHG, and CHH methylation contexts among 2 kb proximal promoters, gene bodies, and 2 kb downstream regions were observed among PS, TS, and SS. Further analysis revealed a perceptible global correlation between 5mC methylation levels of gene bodies and transcript levels but failed to reveal a correlation between 5mC methylation levels of proximal promoter regions and transcript levels. We identified 653 and 858 DMGs and 4978 and 4780 DEGs in PS vs TS and TS vs SS comparisons, respectively. Only 113 genes of 653 DMGs and 4978 DEGs, and 114 genes of 858 DMGs and 4780 DEG were common. Counterparts of some of these common genes in other species, including Arabidopsis thaliana, are known to be involved in secondary cell wall biosynthesis and hormone signaling. This indicates that methylation may directly modulate wood formation genes and indirectly attune hormone signaling genes, which in turn impact wood formation. Conclusions DNA methylation only marginally affects pathway genes or regulators involved in wood formation, suggesting that further studies of wood formation should lean towards the indirect effects of methylation. The information and data we provide here will be instrumental for understanding the roles of methylation in wood formation in tree species.
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Affiliation(s)
- Yang Zhang
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, Heilongjiang, 150040, People's Republic of China
| | - Cong Liu
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, Heilongjiang, 150040, People's Republic of China
| | - He Cheng
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, Heilongjiang, 150040, People's Republic of China
| | - Shuanghui Tian
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, Heilongjiang, 150040, People's Republic of China
| | - Yingying Liu
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, Heilongjiang, 150040, People's Republic of China
| | - Shuang Wang
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, Heilongjiang, 150040, People's Republic of China
| | - Huaxin Zhang
- Research Center of Saline and Alkali Land of State Forestry and Grassland Administration, Chinese Academy of Forestry, Beijing, 100091, People's Republic of China
| | - Muhammad Saqib
- Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, 38000, Pakistan
| | - Hairong Wei
- College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI, 49931, USA
| | - Zhigang Wei
- Research Center of Saline and Alkali Land of State Forestry and Grassland Administration, Chinese Academy of Forestry, Beijing, 100091, People's Republic of China.
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Trouern-Trend AJ, Falk T, Zaman S, Caballero M, Neale DB, Langley CH, Dandekar AM, Stevens KA, Wegrzyn JL. Comparative genomics of six Juglans species reveals disease-associated gene family contractions. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 102:410-423. [PMID: 31823432 DOI: 10.1111/tpj.14630] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Accepted: 11/01/2019] [Indexed: 06/10/2023]
Abstract
Juglans (walnuts), the most speciose genus in the walnut family (Juglandaceae), represents most of the family's commercially valuable fruit and wood-producing trees. It includes several species used as rootstock for their resistance to various abiotic and biotic stressors. We present the full structural and functional genome annotations of six Juglans species and one outgroup within Juglandaceae (Juglans regia, J. cathayensis, J. hindsii, J. microcarpa, J. nigra, J. sigillata and Pterocarya stenoptera) produced using BRAKER2 semi-unsupervised gene prediction pipeline and additional tools. For each annotation, gene predictors were trained using 19 tissue-specific J. regia transcriptomes aligned to the genomes. Additional functional evidence and filters were applied to multi-exonic and mono-exonic putative genes to yield between 27 000 and 44 000 high-confidence gene models per species. Comparison of gene models to the BUSCO embryophyta dataset suggested that, on average, genome annotation completeness was 85.6%. We utilized these high-quality annotations to assess gene family evolution within Juglans, and among Juglans and selected Eurosid species. We found notable contractions in several gene families in J. hindsii, including disease resistance-related wall-associated kinase (WAK), Catharanthus roseus receptor-like kinase (CrRLK1L) and others involved in abiotic stress response. Finally, we confirmed an ancient whole-genome duplication that took place in a common ancestor of Juglandaceae using site substitution comparative analysis.
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Affiliation(s)
| | - Taylor Falk
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - Sumaira Zaman
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - Madison Caballero
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
| | - David B Neale
- Department of Plant Sciences, University of California Davis, Davis, CA, USA
| | - Charles H Langley
- Department of Evolution and Ecology, University of California Davis, Davis, CA, USA
| | - Abhaya M Dandekar
- Department of Plant Sciences, University of California Davis, Davis, CA, USA
| | - Kristian A Stevens
- Department of Evolution and Ecology, University of California Davis, Davis, CA, USA
- Department of Computer Science, University of California Davis, Davis, CA, USA
| | - Jill L Wegrzyn
- Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA
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36
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Khan AW, Garg V, Roorkiwal M, Golicz AA, Edwards D, Varshney RK. Super-Pangenome by Integrating the Wild Side of a Species for Accelerated Crop Improvement. TRENDS IN PLANT SCIENCE 2020; 25:148-158. [PMID: 31787539 PMCID: PMC6988109 DOI: 10.1016/j.tplants.2019.10.012] [Citation(s) in RCA: 123] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 10/28/2019] [Accepted: 10/29/2019] [Indexed: 05/19/2023]
Abstract
The pangenome provides genomic variations in the cultivated gene pool for a given species. However, as the crop's gene pool comprises many species, especially wild relatives with diverse genetic stock, here we suggest using accessions from all available species of a given genus for the development of a more comprehensive and complete pangenome, which we refer to as a super-pangenome. The super-pangenome provides a complete genomic variation repertoire of a genus and offers unprecedented opportunities for crop improvement. This opinion article focuses on recent developments in crop pangenomics, the need for a super-pangenome that should include wild species, and its application for crop improvement.
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Affiliation(s)
- Aamir W Khan
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India; School of Biological Sciences, The University of Western Australia (UWA), Crawley, WA, Australia
| | - Vanika Garg
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Manish Roorkiwal
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Agnieszka A Golicz
- Plant Molecular Biology and Biotechnology Laboratory, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, Melbourne, VIC, Australia
| | - David Edwards
- School of Biological Sciences, The University of Western Australia (UWA), Crawley, WA, Australia
| | - Rajeev K Varshney
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India.
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Foria S, Copetti D, Eisenmann B, Magris G, Vidotto M, Scalabrin S, Testolin R, Cipriani G, Wiedemann-Merdinoglu S, Bogs J, Di Gaspero G, Morgante M. Gene duplication and transposition of mobile elements drive evolution of the Rpv3 resistance locus in grapevine. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 101:529-542. [PMID: 31571285 DOI: 10.1111/tpj.14551] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 09/12/2019] [Accepted: 09/18/2019] [Indexed: 05/08/2023]
Abstract
A wild grape haplotype (Rpv3-1) confers resistance to Plasmopara viticola. We mapped the causal factor for resistance to an interval containing a TIR-NB-LRR (TNL) gene pair that originated 1.6-2.6 million years ago by a tandem segmental duplication. Transient coexpression of the TNL pair in Vitis vinifera leaves activated pathogen-induced necrosis and reduced sporulation compared with control leaves. Even though transcripts of the TNL pair from the wild haplotype appear to be partially subject to nonsense-mediated mRNA decay, mature mRNA levels in a homozygous resistant genotype were individually higher than the mRNA trace levels observed for the orthologous single-copy TNL in sensitive genotypes. Allelic expression imbalance in a resistant heterozygote confirmed that cis-acting regulatory variation promotes expression in the wild haplotype. The movement of transposable elements had a major impact on the generation of haplotype diversity, altering the DNA context around similar TNL coding sequences and the GC-content in their proximal 5'-intergenic regions. The wild and domesticated haplotypes also diverged in conserved single-copy intergenic DNA, but the highest divergence was observed in intraspecific and not in interspecific comparisons. In this case, introgression breeding did not transgress the genetic boundaries of the domesticated species, because haplotypes present in modern varieties sometimes predate speciation events between wild and cultivated species.
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Affiliation(s)
- Serena Foria
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
| | - Dario Copetti
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
- Istituto di Genomica Applicata, via Jacopo Linussio 51, 33100, Udine, Italy
- Institute of Agricultural Sciences, ETH Zürich, Universitätstrasse 2, 8092, Zürich, Switzerland
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057, Zürich, Switzerland
| | - Birgit Eisenmann
- State Education and Research Center of Viticulture, Horticulture and Rural Development, Breitenweg 71, 67435, Neustadt an der Weinstraße, Germany
- Centre for Organismal Studies Heidelberg, University of Heidelberg, 69120, Heidelberg, Germany
| | - Gabriele Magris
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
- Istituto di Genomica Applicata, via Jacopo Linussio 51, 33100, Udine, Italy
| | - Michele Vidotto
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
| | - Simone Scalabrin
- Istituto di Genomica Applicata, via Jacopo Linussio 51, 33100, Udine, Italy
| | - Raffaele Testolin
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
| | - Guido Cipriani
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
| | | | - Jochen Bogs
- State Education and Research Center of Viticulture, Horticulture and Rural Development, Breitenweg 71, 67435, Neustadt an der Weinstraße, Germany
- Technische Hochschule Bingen, 55411, Bingen am Rhein, Germany
| | | | - Michele Morgante
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
- Istituto di Genomica Applicata, via Jacopo Linussio 51, 33100, Udine, Italy
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Foria S, Copetti D, Eisenmann B, Magris G, Vidotto M, Scalabrin S, Testolin R, Cipriani G, Wiedemann-Merdinoglu S, Bogs J, Di Gaspero G, Morgante M. Gene duplication and transposition of mobile elements drive evolution of the Rpv3 resistance locus in grapevine. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 99:895-909. [PMID: 31571285 DOI: 10.1111/tpj.14370] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 02/19/2019] [Accepted: 03/19/2019] [Indexed: 05/17/2023]
Abstract
A wild grape haplotype (Rpv3-1) confers resistance to Plasmopara viticola. We mapped the causal factor for resistance to an interval containing a TIR-NB-LRR (TNL) gene pair that originated 1.6-2.6 million years ago by a tandem segmental duplication. Transient coexpression of the TNL pair in Vitis vinifera leaves activated pathogen-induced necrosis and reduced sporulation compared with control leaves. Even though transcripts of the TNL pair from the wild haplotype appear to be partially subject to nonsense-mediated mRNA decay, mature mRNA levels in a homozygous resistant genotype were individually higher than the mRNA trace levels observed for the orthologous single-copy TNL in sensitive genotypes. Allelic expression imbalance in a resistant heterozygote confirmed that cis-acting regulatory variation promotes expression in the wild haplotype. The movement of transposable elements had a major impact on the generation of haplotype diversity, altering the DNA context around similar TNL coding sequences and the GC-content in their proximal 5'-intergenic regions. The wild and domesticated haplotypes also diverged in conserved single-copy intergenic DNA, but the highest divergence was observed in intraspecific and not in interspecific comparisons. In this case, introgression breeding did not transgress the genetic boundaries of the domesticated species, because haplotypes present in modern varieties sometimes predate speciation events between wild and cultivated species.
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Affiliation(s)
- Serena Foria
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
| | - Dario Copetti
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
- Istituto di Genomica Applicata, via Jacopo Linussio 51, 33100, Udine, Italy
- Institute of Agricultural Sciences, ETH Zürich, Universitätstrasse 2, 8092, Zürich, Switzerland
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057, Zürich, Switzerland
| | - Birgit Eisenmann
- State Education and Research Center of Viticulture, Horticulture and Rural Development, Breitenweg 71, 67435, Neustadt an der Weinstraße, Germany
- Centre for Organismal Studies Heidelberg, University of Heidelberg, 69120, Heidelberg, Germany
| | - Gabriele Magris
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
- Istituto di Genomica Applicata, via Jacopo Linussio 51, 33100, Udine, Italy
| | - Michele Vidotto
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
| | - Simone Scalabrin
- Istituto di Genomica Applicata, via Jacopo Linussio 51, 33100, Udine, Italy
| | - Raffaele Testolin
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
| | - Guido Cipriani
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
| | | | - Jochen Bogs
- State Education and Research Center of Viticulture, Horticulture and Rural Development, Breitenweg 71, 67435, Neustadt an der Weinstraße, Germany
- Technische Hochschule Bingen, 55411, Bingen am Rhein, Germany
| | | | - Michele Morgante
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, via delle scienze 208, 33100, Udine, Italy
- Istituto di Genomica Applicata, via Jacopo Linussio 51, 33100, Udine, Italy
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Wegrzyn JL, Falk T, Grau E, Buehler S, Ramnath R, Herndon N. Cyberinfrastructure and resources to enable an integrative approach to studying forest trees. Evol Appl 2020; 13:228-241. [PMID: 31892954 PMCID: PMC6935593 DOI: 10.1111/eva.12860] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 08/11/2019] [Accepted: 08/14/2019] [Indexed: 12/19/2022] Open
Abstract
Sequencing technologies and bioinformatic approaches are now available to resolve the challenges associated with complex and heterozygous genomes. Increased access to less expensive and more effective instrumentation will contribute to a wealth of high-quality plant genomes in the next few years. In the meantime, more than 370 tree species are associated with public projects in primary repositories that are interrogating expression profiles, identifying variants, or analyzing targeted capture without a high-quality reference genome. Genomic data from these projects generates sequences that represent intermediate assemblies for transcriptomes and genomes. These data contribute to forest tree biology, but the associated sequence remains trapped in supplemental files that are poorly integrated in plant community databases and comparative genomic platforms. Successful implementation of life science cyberinfrastructure is improving data standards, ontologies, analytic workflows, and integrated database platforms for both model and non-model plant species. Unique to forest trees with large populations that are long-lived, outcrossing, and genetically diverse, the phenotypic and environmental metrics associated with georeferenced populations are just as important as the genomic data sampled for each individual. To address questions related to forest health and productivity, cyberinfrastructure must keep pace with the magnitude of genomic and phenomic sampling of larger populations. This review examines the current landscape of cyberinfrastructure, with an emphasis on best practices and resources to align community data with the Findable, Accessible, Interoperable, and Reusable (FAIR) guidelines.
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Affiliation(s)
- Jill L. Wegrzyn
- Department of Ecology and Evolutionary BiologyUniversity of ConnecticutStorrsConnecticut
| | - Taylor Falk
- Department of Ecology and Evolutionary BiologyUniversity of ConnecticutStorrsConnecticut
| | - Emily Grau
- Department of Ecology and Evolutionary BiologyUniversity of ConnecticutStorrsConnecticut
| | - Sean Buehler
- Department of Ecology and Evolutionary BiologyUniversity of ConnecticutStorrsConnecticut
| | - Risharde Ramnath
- Department of Ecology and Evolutionary BiologyUniversity of ConnecticutStorrsConnecticut
| | - Nic Herndon
- Department of Ecology and Evolutionary BiologyUniversity of ConnecticutStorrsConnecticut
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40
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Golicz AA, Bayer PE, Bhalla PL, Batley J, Edwards D. Pangenomics Comes of Age: From Bacteria to Plant and Animal Applications. Trends Genet 2019; 36:132-145. [PMID: 31882191 DOI: 10.1016/j.tig.2019.11.006] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 11/09/2019] [Accepted: 11/12/2019] [Indexed: 02/01/2023]
Abstract
The pangenome refers to a collection of genomic sequence found in the entire species or population rather than in a single individual; the sequence can be core, present in all individuals, or accessory (variable or dispensable), found in a subset of individuals only. While pangenomic studies were first undertaken in bacterial species, developments in genome sequencing and assembly approaches have allowed construction of pangenomes for eukaryotic organisms, fungi, plants, and animals, including two large-scale human pangenome projects. Analysis of the these pangenomes revealed key differences, most likely stemming from divergent evolutionary histories, but also surprising similarities.
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Affiliation(s)
- Agnieszka A Golicz
- Plant Molecular Biology and Biotechnology Laboratory, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, VIC, Australia.
| | - Philipp E Bayer
- School of Biological Sciences and Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia
| | - Prem L Bhalla
- Plant Molecular Biology and Biotechnology Laboratory, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Jacqueline Batley
- School of Biological Sciences and Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia
| | - David Edwards
- School of Biological Sciences and Institute of Agriculture, The University of Western Australia, Crawley, WA, Australia.
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Mabire C, Duarte J, Darracq A, Pirani A, Rimbert H, Madur D, Combes V, Vitte C, Praud S, Rivière N, Joets J, Pichon JP, Nicolas SD. High throughput genotyping of structural variations in a complex plant genome using an original Affymetrix® axiom® array. BMC Genomics 2019; 20:848. [PMID: 31722668 PMCID: PMC6854671 DOI: 10.1186/s12864-019-6136-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 09/23/2019] [Indexed: 12/19/2022] Open
Abstract
Background Insertions/deletions (InDels) and more specifically presence/absence variations (PAVs) are pervasive in several species and have strong functional and phenotypic effect by removing or drastically modifying genes. Genotyping of such variants on large panels remains poorly addressed, while necessary for approaches such as association mapping or genomic selection. Results We have developed, as a proof of concept, a new high-throughput and affordable approach to genotype InDels. We first identified 141,000 InDels by aligning reads from the B73 line against the genome of three temperate maize inbred lines (F2, PH207, and C103) and reciprocally. Next, we designed an Affymetrix® Axiom® array to target these InDels, with a combination of probes selected at breakpoint sites (13%) or within the InDel sequence, either at polymorphic (25%) or non-polymorphic sites (63%) sites. The final array design is composed of 662,772 probes and targets 105,927 InDels, including PAVs ranging from 35 bp to 129kbp. After Affymetrix® quality control, we successfully genotyped 86,648 polymorphic InDels (82% of all InDels interrogated by the array) on 445 maize DNA samples with 422,369 probes. Genotyping InDels using this approach produced a highly reliable dataset, with low genotyping error (~ 3%), high call rate (~ 98%), and high reproducibility (> 95%). This reliability can be further increased by combining genotyping of several probes calling the same InDels (< 0.1% error rate and > 99.9% of call rate for 5 probes). This “proof of concept” tool was used to estimate the kinship matrix between 362 maize lines with 57,824 polymorphic InDels. This InDels kinship matrix was highly correlated with kinship estimated using SNPs from Illumina 50 K SNP arrays. Conclusions We efficiently genotyped thousands of small to large InDels on a sizeable number of individuals using a new Affymetrix® Axiom® array. This powerful approach opens the way to studying the contribution of InDels to trait variation and heterosis in maize. The approach is easily extendable to other species and should contribute to decipher the biological impact of InDels at a larger scale.
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Affiliation(s)
- Clément Mabire
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Jorge Duarte
- Biogemma - Centre de Recherche de Chappes, CS 90126, 63720, Chappes, France
| | - Aude Darracq
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Ali Pirani
- Thermo Fisher Scientific, 3450 Central Expressway, Santa Clara, CA, 95051, USA
| | - Hélène Rimbert
- Biogemma - Centre de Recherche de Chappes, CS 90126, 63720, Chappes, France.,Present address: GDEC, INRA, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Delphine Madur
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Valérie Combes
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Clémentine Vitte
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | - Sébastien Praud
- Biogemma - Centre de Recherche de Chappes, CS 90126, 63720, Chappes, France
| | - Nathalie Rivière
- Biogemma - Centre de Recherche de Chappes, CS 90126, 63720, Chappes, France
| | - Johann Joets
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France
| | | | - Stéphane D Nicolas
- GQE - Le Moulon, INRA, Univ. Paris-Sud, CNRS, AgroParisTech, Université Paris-Saclay, 91190, Gif-sur-Yvette, France.
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Usai G, Mascagni F, Vangelisti A, Giordani T, Ceccarelli M, Cavallini A, Natali L. Interspecific hybridisation and LTR-retrotransposon mobilisation-related structural variation in plants: A case study. Genomics 2019; 112:1611-1621. [PMID: 31605729 DOI: 10.1016/j.ygeno.2019.09.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 07/13/2019] [Accepted: 09/12/2019] [Indexed: 11/30/2022]
Abstract
The dynamics of long-terminal-repeat retrotransposons in two poplar species (Populus deltoides and P. nigra) and in an interspecific hybrid, recently synthesized, were investigated by analyzing the genomic abundance and transcription levels of a collection of 828 full-length retroelements identified in the genome sequence of P. trichocarpa, all occurring also in the genomes of P. deltoides and P. nigra. Overall, genomic abundance and transcription levels of many retrotransposons in the hybrid resulted higher or lower than expected by calculating the mean of the parental values. A bioinformatics procedure was established to ascertain the occurrence of the same retrotransposon loci in the three genotypes. The results indicated that retrotransposon abundance variations between the hybrid and the mean value of the parents were due to i) co-segregation of retrotransposon high- or low-abundant haplotypes; ii) new retroelement insertions; iii) retrotransposon loss. Concerning retrotransposon expression, this was generally low, with only 14/828 elements over- or under-expressed in the hybrid than expected by calculating the mean of the parents. It is concluded that interspecific hybridisation between the two poplar species determine quantitative variation and differential expression of some retrotransposons, with possible consequences for the genetic differentiation of the hybrid.
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Affiliation(s)
- Gabriele Usai
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy
| | - Flavia Mascagni
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy
| | - Alberto Vangelisti
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy
| | - Tommaso Giordani
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy
| | - Marilena Ceccarelli
- Department of Chemistry, Biology and Biotechnology, University of Perugia, Via Elce di sotto 8, 06123 Perugia, Italy
| | - Andrea Cavallini
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy.
| | - Lucia Natali
- Department of Agriculture, Food and Environment, University of Pisa, Via del Borghetto 80, I-56124 Pisa, Italy.
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Zhang B, Zhu W, Diao S, Wu X, Lu J, Ding C, Su X. The poplar pangenome provides insights into the evolutionary history of the genus. Commun Biol 2019; 2:215. [PMID: 31240253 PMCID: PMC6581948 DOI: 10.1038/s42003-019-0474-7] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 05/23/2019] [Indexed: 12/20/2022] Open
Abstract
The genus Populus comprises a complex amalgam of ancient and modern species that has become a prime model for evolutionary and taxonomic studies. Here we sequenced the genomes of 10 species from five sections of the genus Populus, identified 71 million genomic variations, and observed new correlations between the single-nucleotide polymorphism-structural variation (SNP-SV) density and indel-SV density to complement the SNP-indel density correlation reported in mammals. Disease resistance genes (R genes) with heterozygous loss-of-function (LOF) were significantly enriched in the 10 species, which increased the diversity of poplar R genes during evolution. Heterozygous LOF mutations in the self-incompatibility genes were closely related to the self-fertilization of poplar, suggestive of genomic control of self-fertilization in dioecious plants. The phylogenetic genome-wide SNPs tree also showed possible ancient hybridization among species in sections Tacamahaca, Aigeiros, and Leucoides. The pangenome resource also provided information for poplar genetics and breeding.
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Affiliation(s)
- Bingyu Zhang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
- Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
| | - Wenxu Zhu
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
- Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
| | - Shu Diao
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
- Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
| | - Xiaojuan Wu
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
- Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
| | - Junqian Lu
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
- Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
| | - ChangJun Ding
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
- Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
| | - Xiaohua Su
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
- Key Laboratory of Tree Breeding and Cultivation of State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China
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A comprehensive genomic scan reveals gene dosage balance impacts on quantitative traits in Populus trees. Proc Natl Acad Sci U S A 2019; 116:13690-13699. [PMID: 31213538 DOI: 10.1073/pnas.1903229116] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Gene dosage variation and the associated changes in gene expression influence a wide variety of traits, ranging from cancer in humans to yield in plants. It is also expected to affect important traits of ecological and agronomic importance in forest trees, but this variation has not been systematically characterized or exploited. Here we performed a comprehensive scan of the Populus genome for dosage-sensitive loci affecting quantitative trait variation for spring and fall phenology and biomass production. The study population was a large collection of clonally propagated F1 hybrid lines of Populus that saturate the genome 10-fold with deletions and insertions (indels) of known sizes and positions. As a group, the phenotypic means of the indel lines consistently differed from control nonindel lines, with an overall negative effect of both insertions and deletions on all biomass-related traits but more diverse effects and an overall wider phenotypic distribution of the indel lines for the phenology-related traits. We also investigated the correlation between gene dosage at specific chromosomal locations and phenotype, to identify dosage quantitative trait loci (dQTL). Such dQTL were detected for most phenotypes examined, but stronger effect dQTL were identified for the phenology-related traits than for the biomass traits. Our genome-wide screen for dosage sensitivity in a higher eukaryote demonstrates the importance of global genomic balance and the impact of dosage on life history traits.
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Weighill D, Macaya-Sanz D, DiFazio SP, Joubert W, Shah M, Schmutz J, Sreedasyam A, Tuskan G, Jacobson D. Wavelet-Based Genomic Signal Processing for Centromere Identification and Hypothesis Generation. Front Genet 2019; 10:487. [PMID: 31214244 PMCID: PMC6554479 DOI: 10.3389/fgene.2019.00487] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 05/06/2019] [Indexed: 12/14/2022] Open
Abstract
Various ‘omics data types have been generated for Populus trichocarpa, each providing a layer of information which can be represented as a density signal across a chromosome. We make use of genome sequence data, variants data across a population as well as methylation data across 10 different tissues, combined with wavelet-based signal processing to perform a comprehensive analysis of the signature of the centromere in these different data signals, and successfully identify putative centromeric regions in P. trichocarpa from these signals. Furthermore, using SNP (single nucleotide polymorphism) correlations across a natural population of P. trichocarpa, we find evidence for the co-evolution of the centromeric histone CENH3 with the sequence of the newly identified centromeric regions, and identify a new CENH3 candidate in P. trichocarpa.
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Affiliation(s)
- Deborah Weighill
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - David Macaya-Sanz
- Department of Biology, West Virginia University, Morgantown, WV, United States
| | | | - Wayne Joubert
- Oak Ridge Leadership Computing Facility, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Manesh Shah
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Jeremy Schmutz
- Department of Energy Joint Genome Institute, Walnut Creek, CA, United States.,HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | | | - Gerald Tuskan
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
| | - Daniel Jacobson
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, TN, United States.,Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
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46
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Ma J, Wan D, Duan B, Bai X, Bai Q, Chen N, Ma T. Genome sequence and genetic transformation of a widely distributed and cultivated poplar. PLANT BIOTECHNOLOGY JOURNAL 2019; 17:451-460. [PMID: 30044051 PMCID: PMC6335071 DOI: 10.1111/pbi.12989] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Revised: 07/10/2018] [Accepted: 07/13/2018] [Indexed: 05/20/2023]
Abstract
Populus alba is widely distributed and cultivated in Europe and Asia. This species has been used for diverse studies. In this study, we assembled a de novo genome sequence of P. alba var. pyramidalis (= P. bolleana) and confirmed its high transformation efficiency and short transformation time by experiments. Through a process of hybrid genome assembly, a total of 464 M of the genome was assembled. Annotation analyses predicted 37 901 protein-coding genes. This genome is highly collinear to that of P. trichocarpa, with most genes having orthologs in the two species. We found a marked expansion of gene families related to histone and the hormone auxin but loss of disease resistance genes in P. alba if compared with the closely related P. trichocarpa. The genome sequence presented here represents a valuable resource for further molecular functional analyses of this species as a new tree model, poplar breeding practices and comparative genomic analyses across different poplars.
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Affiliation(s)
- Jianchao Ma
- State Key Laboratory of Grassland Agro‐EcosystemInstitute of Innovation Ecology & School of Life SciencesLanzhou UniversityLanzhouChina
| | - Dongshi Wan
- State Key Laboratory of Grassland Agro‐EcosystemInstitute of Innovation Ecology & School of Life SciencesLanzhou UniversityLanzhouChina
| | - Bingbing Duan
- State Key Laboratory of Grassland Agro‐EcosystemInstitute of Innovation Ecology & School of Life SciencesLanzhou UniversityLanzhouChina
| | - Xiaotao Bai
- State Key Laboratory of Grassland Agro‐EcosystemInstitute of Innovation Ecology & School of Life SciencesLanzhou UniversityLanzhouChina
| | - Qiuxian Bai
- State Key Laboratory of Grassland Agro‐EcosystemInstitute of Innovation Ecology & School of Life SciencesLanzhou UniversityLanzhouChina
| | - Ningning Chen
- State Key Laboratory of Grassland Agro‐EcosystemInstitute of Innovation Ecology & School of Life SciencesLanzhou UniversityLanzhouChina
| | - Tao Ma
- State Key Laboratory of Grassland Agro‐EcosystemInstitute of Innovation Ecology & School of Life SciencesLanzhou UniversityLanzhouChina
- Key Laboratory of Bio‐Resource and Eco‐Environment of Ministry of EducationCollege of Life SciencesSichuan UniversityChengduChina
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47
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Clifton‐Brown J, Harfouche A, Casler MD, Dylan Jones H, Macalpine WJ, Murphy‐Bokern D, Smart LB, Adler A, Ashman C, Awty‐Carroll D, Bastien C, Bopper S, Botnari V, Brancourt‐Hulmel M, Chen Z, Clark LV, Cosentino S, Dalton S, Davey C, Dolstra O, Donnison I, Flavell R, Greef J, Hanley S, Hastings A, Hertzberg M, Hsu T, Huang LS, Iurato A, Jensen E, Jin X, Jørgensen U, Kiesel A, Kim D, Liu J, McCalmont JP, McMahon BG, Mos M, Robson P, Sacks EJ, Sandu A, Scalici G, Schwarz K, Scordia D, Shafiei R, Shield I, Slavov G, Stanton BJ, Swaminathan K, Taylor G, Torres AF, Trindade LM, Tschaplinski T, Tuskan GA, Yamada T, Yeon Yu C, Zalesny RS, Zong J, Lewandowski I. Breeding progress and preparedness for mass-scale deployment of perennial lignocellulosic biomass crops switchgrass, miscanthus, willow and poplar. GLOBAL CHANGE BIOLOGY. BIOENERGY 2019; 11:118-151. [PMID: 30854028 PMCID: PMC6392185 DOI: 10.1111/gcbb.12566] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 07/18/2018] [Indexed: 05/07/2023]
Abstract
Genetic improvement through breeding is one of the key approaches to increasing biomass supply. This paper documents the breeding progress to date for four perennial biomass crops (PBCs) that have high output-input energy ratios: namely Panicum virgatum (switchgrass), species of the genera Miscanthus (miscanthus), Salix (willow) and Populus (poplar). For each crop, we report on the size of germplasm collections, the efforts to date to phenotype and genotype, the diversity available for breeding and on the scale of breeding work as indicated by number of attempted crosses. We also report on the development of faster and more precise breeding using molecular breeding techniques. Poplar is the model tree for genetic studies and is furthest ahead in terms of biological knowledge and genetic resources. Linkage maps, transgenesis and genome editing methods are now being used in commercially focused poplar breeding. These are in development in switchgrass, miscanthus and willow generating large genetic and phenotypic data sets requiring concomitant efforts in informatics to create summaries that can be accessed and used by practical breeders. Cultivars of switchgrass and miscanthus can be seed-based synthetic populations, semihybrids or clones. Willow and poplar cultivars are commercially deployed as clones. At local and regional level, the most advanced cultivars in each crop are at technology readiness levels which could be scaled to planting rates of thousands of hectares per year in about 5 years with existing commercial developers. Investment in further development of better cultivars is subject to current market failure and the long breeding cycles. We conclude that sustained public investment in breeding plays a key role in delivering future mass-scale deployment of PBCs.
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Affiliation(s)
- John Clifton‐Brown
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Antoine Harfouche
- Department for Innovation in Biological, Agrofood and Forest systemsUniversity of TusciaViterboItaly
| | | | - Huw Dylan Jones
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | | | | | - Lawrence B. Smart
- Horticulture Section, School of Integrative Plant ScienceCornell UniversityGenevaNew York
| | - Anneli Adler
- SweTree Technologies ABUmeåSweden
- Institute of Crop Production EcologySwedish University of Agricultural SciencesUppsalaSweden
| | - Chris Ashman
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Danny Awty‐Carroll
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | | | - Sebastian Bopper
- Department of Seed Science and Technology, Institute of Plant Breeding, Seed Science and Population GeneticsUniversity of HohenheimStuttgartGermany
| | - Vasile Botnari
- Institute of Genetics, Physiology and Plant Protection (IGFPP) of Academy of Sciences of MoldovaChisinauMoldova
| | | | - Zhiyong Chen
- Insitute of MiscanthusHunan Agricultural UniversityHunan ChangshaChina
| | - Lindsay V. Clark
- Department of Crop Sciences & Center for Advanced Bioenergy and Bioproducts Innovation, 279 Edward R Madigan LaboratoryUniversity of IllinoisUrbanaIllinois
| | - Salvatore Cosentino
- Dipartimento di Agricoltura Alimentazione e AmbienteUniversità degli Studi di CataniaCataniaItaly
| | - Sue Dalton
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Chris Davey
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Oene Dolstra
- Plant BreedingWageningen University & ResearchWageningenThe Netherlands
| | - Iain Donnison
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | | | - Joerg Greef
- Julius Kuhn‐Institut (JKI)Bundesforschungsinstitut fur KulturpflanzenBraunschweigGermany
| | | | - Astley Hastings
- Institute of Biological and Environmental ScienceUniversity of AberdeenAberdeenUK
| | | | - Tsai‐Wen Hsu
- Taiwan Endemic Species Research Institute (TESRI)Nantou CountyTaiwan
| | - Lin S. Huang
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Antonella Iurato
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Elaine Jensen
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Xiaoli Jin
- Department of Agronomy & The Key Laboratory of Crop Germplasm Resource of Zhejiang ProvinceZhejiang UniversityHangzhouChina
| | - Uffe Jørgensen
- Department of AgroecologyAarhus University Centre for Circular BioeconomyTjeleDenmark
| | - Andreas Kiesel
- Department of Biobased Products and Energy Crops, Institute of Crop ScienceUniversity of HohenheimStuttgartGermany
| | - Do‐Soon Kim
- Department of Plant Sciences, Research Institute of Agriculture & Life Sciences, CALSSeoul National UniversitySeoulKorea
| | - Jianxiu Liu
- Institute of BotanyJiangsu Province and Chinese Academy of SciencesNanjingChina
| | - Jon P. McCalmont
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Bernard G. McMahon
- Natural Resources Research InstituteUniversity of Minnesota – DuluthDuluthMinnesota
| | | | - Paul Robson
- Institute of Biological, Environmental and Rural SciencesAberystwyth UniversityAberystwythUK
| | - Erik J. Sacks
- Department of Crop Sciences & Center for Advanced Bioenergy and Bioproducts Innovation, 279 Edward R Madigan LaboratoryUniversity of IllinoisUrbanaIllinois
| | - Anatolii Sandu
- Institute of Genetics, Physiology and Plant Protection (IGFPP) of Academy of Sciences of MoldovaChisinauMoldova
| | - Giovanni Scalici
- Dipartimento di Agricoltura Alimentazione e AmbienteUniversità degli Studi di CataniaCataniaItaly
| | - Kai Schwarz
- Julius Kuhn‐Institut (JKI)Bundesforschungsinstitut fur KulturpflanzenBraunschweigGermany
| | - Danilo Scordia
- Dipartimento di Agricoltura Alimentazione e AmbienteUniversità degli Studi di CataniaCataniaItaly
| | - Reza Shafiei
- James Hutton InstituteUniversity of DundeeDundeeUK
| | | | | | | | | | - Gail Taylor
- Biological SciencesUniversity of SouthamptonSouthamptonUK
| | - Andres F. Torres
- Plant BreedingWageningen University & ResearchWageningenThe Netherlands
| | - Luisa M. Trindade
- Plant BreedingWageningen University & ResearchWageningenThe Netherlands
| | - Timothy Tschaplinski
- The Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTennessee
| | - Gerald A. Tuskan
- The Center for Bioenergy InnovationOak Ridge National LaboratoryOak RidgeTennessee
| | - Toshihiko Yamada
- Field Science Centre for the Northern BiosphereHokkaido UniversitySapporoJapan
| | - Chang Yeon Yu
- College of Agriculture and Life Sciences 2Kangwon National UniversityChuncheonSouth Korea
| | | | - Junqin Zong
- Institute of BotanyJiangsu Province and Chinese Academy of SciencesNanjingChina
| | - Iris Lewandowski
- Department of Biobased Products and Energy Crops, Institute of Crop ScienceUniversity of HohenheimStuttgartGermany
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48
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Chao Q, Gao Z, Zhang D, Zhao B, Dong F, Fu C, Liu L, Wang B. The developmental dynamics of the Populus stem transcriptome. PLANT BIOTECHNOLOGY JOURNAL 2019; 17:206-219. [PMID: 29851301 PMCID: PMC6330540 DOI: 10.1111/pbi.12958] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 05/23/2018] [Accepted: 05/27/2018] [Indexed: 05/20/2023]
Abstract
The Populus shoot undergoes primary growth (longitudinal growth) followed by secondary growth (radial growth), which produces biomass that is an important source of energy worldwide. We adopted joint PacBio Iso-Seq and RNA-seq analysis to identify differentially expressed transcripts along a developmental gradient from the shoot apex to the fifth internode of Populus Nanlin895. We obtained 87 150 full-length transcripts, including 2081 new isoforms and 62 058 new alternatively spliced isoforms, most of which were produced by intron retention, that were used to update the Populus annotation. Among these novel isoforms, there are 1187 long non-coding RNAs and 356 fusion genes. Using this annotation, we found 15 838 differentially expressed transcripts along the shoot developmental gradient, of which 1216 were transcription factors (TFs). Only a few of these genes were reported previously. The differential expression of these TFs suggests that they may play important roles in primary and secondary growth. AP2, ARF, YABBY and GRF TFs are highly expressed in the apex, whereas NAC, bZIP, PLATZ and HSF TFs are likely to be important for secondary growth. Overall, our findings provide evidence that long-read sequencing can complement short-read sequencing for cataloguing and quantifying eukaryotic transcripts and increase our understanding of the vital and dynamic process of shoot development.
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Affiliation(s)
- Qing Chao
- Key Laboratory of PhotobiologyPhotosynthesis Research CenterInstitute of BotanyChinese Academy of SciencesBeijingChina
| | - Zhi‐Fang Gao
- Key Laboratory of PhotobiologyPhotosynthesis Research CenterInstitute of BotanyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Dong Zhang
- Biomarker Technologies CorporationBeijingChina
| | - Biligen‐Gaowa Zhao
- Key Laboratory of PhotobiologyPhotosynthesis Research CenterInstitute of BotanyChinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Feng‐Qin Dong
- The Key Laboratory of Plant Molecular PhysiologyInstitute of BotanyChinese Academy of SciencesBeijingChina
| | - Chun‐Xiang Fu
- Key Laboratory of BiofuelsQingdao Engineering Research Center of Biomass Resources and EnvironmentQingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdaoShandongChina
| | - Li‐Jun Liu
- College of ForestryShandong Agricultural UniversityTai‐AnShandongChina
| | - Bai‐Chen Wang
- Key Laboratory of PhotobiologyPhotosynthesis Research CenterInstitute of BotanyChinese Academy of SciencesBeijingChina
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49
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Grover CE, Arick MA, Thrash A, Conover JL, Sanders WS, Peterson DG, Frelichowski JE, Scheffler JA, Scheffler BE, Wendel JF. Insights into the Evolution of the New World Diploid Cottons (Gossypium, Subgenus Houzingenia) Based on Genome Sequencing. Genome Biol Evol 2019; 11:53-71. [PMID: 30476109 PMCID: PMC6320677 DOI: 10.1093/gbe/evy256] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2018] [Indexed: 12/24/2022] Open
Abstract
We employed phylogenomic methods to study molecular evolutionary processes and phylogeny in the geographically widely dispersed New World diploid cottons (Gossypium, subg. Houzingenia). Whole genome resequencing data (average of 33× genomic coverage) were generated to reassess the phylogenetic history of the subgenus and provide a temporal framework for its diversification. Phylogenetic analyses indicate that the subgenus likely originated following transoceanic dispersal from Africa about 6.6 Ma, but that nearly all of the biodiversity evolved following rapid diversification in the mid-Pleistocene (0.5-2.0 Ma), with multiple long-distance dispersals required to account for range expansion to Arizona, the Galapagos Islands, and Peru. Comparative analyses of cpDNAversus nuclear data indicate that this history was accompanied by several clear cases of interspecific introgression. Repetitive DNAs contribute roughly half of the total 880 Mb genome, but most transposable element families are relatively old and stable among species. In the genic fraction, pairwise synonymous mutation rates average 1% per Myr, with nonsynonymous changes being about seven times less frequent. Over 1.1 million indels were detected and phylogenetically polarized, revealing a 2-fold bias toward deletions over small insertions. We suggest that this genome down-sizing bias counteracts genome size growth by TE amplification and insertions, and helps explain the relatively small genomes that are restricted to this subgenus. Compared with the rate of nucleotide substitution, the rate of indel occurrence is much lower averaging about 17 nucleotide substitutions per indel event.
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Affiliation(s)
- Corrinne E Grover
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University
| | - Mark A Arick
- Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State University
| | - Adam Thrash
- Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State University
| | - Justin L Conover
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University
| | - William S Sanders
- Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State University
- Department of Computer Science & Engineering, Mississippi State University
- The Jackson Laboratory, Connecticut
| | - Daniel G Peterson
- Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State University
| | | | | | - Brian E Scheffler
- USDA, Genomics and Bioinformatics Research Unit, Stoneville, Mississippi
| | - Jonathan F Wendel
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University
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50
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Tuskan GA, Groover AT, Schmutz J, DiFazio SP, Myburg A, Grattapaglia D, Smart LB, Yin T, Aury JM, Kremer A, Leroy T, Le Provost G, Plomion C, Carlson JE, Randall J, Westbrook J, Grimwood J, Muchero W, Jacobson D, Michener JK. Hardwood Tree Genomics: Unlocking Woody Plant Biology. FRONTIERS IN PLANT SCIENCE 2018; 9:1799. [PMID: 30619389 PMCID: PMC6304363 DOI: 10.3389/fpls.2018.01799] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 11/19/2018] [Indexed: 05/07/2023]
Abstract
Woody perennial angiosperms (i.e., hardwood trees) are polyphyletic in origin and occur in most angiosperm orders. Despite their independent origins, hardwoods have shared physiological, anatomical, and life history traits distinct from their herbaceous relatives. New high-throughput DNA sequencing platforms have provided access to numerous woody plant genomes beyond the early reference genomes of Populus and Eucalyptus, references that now include willow and oak, with pecan and chestnut soon to follow. Genomic studies within these diverse and undomesticated species have successfully linked genes to ecological, physiological, and developmental traits directly. Moreover, comparative genomic approaches are providing insights into speciation events while large-scale DNA resequencing of native collections is identifying population-level genetic diversity responsible for variation in key woody plant biology across and within species. Current research is focused on developing genomic prediction models for breeding, defining speciation and local adaptation, detecting and characterizing somatic mutations, revealing the mechanisms of gender determination and flowering, and application of systems biology approaches to model complex regulatory networks underlying quantitative traits. Emerging technologies such as single-molecule, long-read sequencing is being employed as additional woody plant species, and genotypes within species, are sequenced, thus enabling a comparative ("evo-devo") approach to understanding the unique biology of large woody plants. Resource availability, current genomic and genetic applications, new discoveries and predicted future developments are illustrated and discussed for poplar, eucalyptus, willow, oak, chestnut, and pecan.
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Affiliation(s)
- Gerald A. Tuskan
- Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory (DOE), Oak Ridge, TN, United States
| | - Andrew T. Groover
- Pacific Southwest Research Station, USDA Forest Service, Davis, CA, United States
| | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
- Joint Genome Institute, Walnut Creek, CA, United States
| | | | - Alexander Myburg
- Department of Biochemistry, Genetics and Microbiology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
| | - Dario Grattapaglia
- Embrapa Recursos Genéticos e Biotecnologia, Brasília, Brazil
- Universidade Católica de Brasília, Brasília, Brazil
| | - Lawrence B. Smart
- Horticulture Section, School of Integrative Plant Science, Cornell University, Geneva, NY, United States
| | - Tongming Yin
- The Key Laboratory for Poplar Improvement of Jiangsu Province, Nanjing Forestry University, Nanjing, China
| | - Jean-Marc Aury
- Commissariat à l’Energie Atomique, Genoscope, Institut de Biologie François-Jacob, Evry, France
| | | | - Thibault Leroy
- BIOGECO, INRA, Université de Bordeaux, Cestas, France
- ISEM, CNRS, IRD, EPHE, Université de Montpellier, Montpellier, France
| | | | | | - John E. Carlson
- Schatz Center for Tree Molecular Genetics, Department of Ecosystem Science and Management, Pennsylvania State University, University Park, PA, United States
| | - Jennifer Randall
- Department of Entomology, Plant Pathology and Weed Science, New Mexico State University, Las Cruces, NM, United States
| | - Jared Westbrook
- The American Chestnut Foundation, Asheville, NC, United States
| | - Jane Grimwood
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States
| | - Wellington Muchero
- Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory (DOE), Oak Ridge, TN, United States
| | - Daniel Jacobson
- Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory (DOE), Oak Ridge, TN, United States
| | - Joshua K. Michener
- Center for Bioenergy Innovation, Biosciences Division, Oak Ridge National Laboratory (DOE), Oak Ridge, TN, United States
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