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Li T, Xu H, Teng S, Suo M, Bahitwa R, Xu M, Qian Y, Ramstein GP, Song B, Buckler ES, Wang H. Modeling 0.6 million genes for the rational design of functional cis-regulatory variants and de novo design of cis-regulatory sequences. Proc Natl Acad Sci U S A 2024; 121:e2319811121. [PMID: 38889146 PMCID: PMC11214048 DOI: 10.1073/pnas.2319811121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 05/14/2024] [Indexed: 06/20/2024] Open
Abstract
Rational design of plant cis-regulatory DNA sequences without expert intervention or prior domain knowledge is still a daunting task. Here, we developed PhytoExpr, a deep learning framework capable of predicting both mRNA abundance and plant species using the proximal regulatory sequence as the sole input. PhytoExpr was trained over 17 species representative of major clades of the plant kingdom to enhance its generalizability. Via input perturbation, quantitative functional annotation of the input sequence was achieved at single-nucleotide resolution, revealing an abundance of predicted high-impact nucleotides in conserved noncoding sequences and transcription factor binding sites. Evaluation of maize HapMap3 single-nucleotide polymorphisms (SNPs) by PhytoExpr demonstrates an enrichment of predicted high-impact SNPs in cis-eQTL. Additionally, we provided two algorithms that harnessed the power of PhytoExpr in designing functional cis-regulatory variants, and de novo creation of species-specific cis-regulatory sequences through in silico evolution of random DNA sequences. Our model represents a general and robust approach for functional variant discovery in population genetics and rational design of regulatory sequences for genome editing and synthetic biology.
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Affiliation(s)
- Tianyi Li
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, Department of Plant Genetics and Breeding, China Agricultural University, Beijing100193, People’s Republic of China
| | - Hui Xu
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, Department of Plant Genetics and Breeding, China Agricultural University, Beijing100193, People’s Republic of China
| | - Shouzhen Teng
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, Department of Plant Genetics and Breeding, China Agricultural University, Beijing100193, People’s Republic of China
| | - Mingrui Suo
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, Department of Plant Genetics and Breeding, China Agricultural University, Beijing100193, People’s Republic of China
| | - Revocatus Bahitwa
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, Department of Plant Genetics and Breeding, China Agricultural University, Beijing100193, People’s Republic of China
- Legumes Research Program, Research and Innovation Division, Tanzania Agricultural Research Institute, Ilonga, Kilosa, Morogoro67410, Tanzania
| | - Mingchi Xu
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, Department of Plant Genetics and Breeding, China Agricultural University, Beijing100193, People’s Republic of China
| | - Yiheng Qian
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, Department of Plant Genetics and Breeding, China Agricultural University, Beijing100193, People’s Republic of China
| | - Guillaume P. Ramstein
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus8000, Denmark
| | - Baoxing Song
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agriculture Sciences in Weifang, Weifang, Shandong261325, People’s Republic of China
- Key Laboratory of Maize Biology and Genetic Breeding in Arid Area of Northwest Region of the Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, Shaanxi712100, People’s Republic of China
| | - Edward S. Buckler
- Institute for Genomic Diversity, Cornell University, Ithaca, NY14853
- Agricultural Research Service, United States Department of Agriculture, Ithaca, NY14853
| | - Hai Wang
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, Frontiers Science Center for Molecular Design Breeding, Department of Plant Genetics and Breeding, China Agricultural University, Beijing100193, People’s Republic of China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing100193, People’s Republic of China
- Sanya Institute of China Agricultural University, Sanya572025, People’s Republic of China
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2
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Galli M, Chen Z, Ghandour T, Chaudhry A, Gregory J, Li M, Zhang X, Dong Y, Song G, Walley JW, Chuck G, Whipple C, Kaeppler HF, Huang SSC, Gallavotti A. Transcription factor binding site divergence across maize inbred lines drives transcriptional and phenotypic variation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.31.596834. [PMID: 38895211 PMCID: PMC11185568 DOI: 10.1101/2024.05.31.596834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Regulatory elements are important constituents of plant genomes that have shaped ancient and modern crops. Their identification, function, and diversity in crop genomes however are poorly characterized, thus limiting our ability to harness their power for further agricultural advances using induced or natural variation. Here, we use DNA affinity purification-sequencing (DAP-seq) to map transcription factor (TF) binding events for 200 maize TFs belonging to 30 distinct families and heterodimer pairs in two distinct inbred lines historically used for maize hybrid plant production, providing empirical binding site annotation for 5.3% of the maize genome. TF binding site comparison in B73 and Mo17 inbreds reveals widespread differences, driven largely by structural variation, that correlate with gene expression changes. TF binding site presence-absence variation helps clarify complex QTL such as vgt1, an important determinant of maize flowering time, and DICE, a distal enhancer involved in herbivore resistance. Modification of TF binding regions via CRISPR-Cas9 mediated editing alters target gene expression and phenotype. Our functional catalog of maize TF binding events enables collective and comparative TF binding analysis, and highlights its value for agricultural improvement.
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Affiliation(s)
- Mary Galli
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA
| | - Zongliang Chen
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA
| | - Tara Ghandour
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA
| | - Amina Chaudhry
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA
| | - Jason Gregory
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA
| | - Miaomiao Li
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA
| | - Xuan Zhang
- Department of Genetics, University of Georgia, Athens, GA, USA
| | - Yinxin Dong
- Department of Genetics, University of Georgia, Athens, GA, USA
| | - Gaoyuan Song
- Department of Plant Pathology, Entomology, and Microbiology, Iowa State University; Ames, IA, 50011
| | - Justin W. Walley
- Department of Plant Pathology, Entomology, and Microbiology, Iowa State University; Ames, IA, 50011
| | - George Chuck
- Plant Gene Expression Center, Albany, CA 94710, USA
| | - Clinton Whipple
- Department of Biology, Brigham Young University, 4102 LSB, Provo, UT 84602, USA
| | - Heidi F. Kaeppler
- Department of Agronomy, University of Wisconsin, Madison, WI, USA
- Wisconsin Crop Innovation Center, University of Wisconsin, Middleton, WI, USA
| | - Shao-shan Carol Huang
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA
| | - Andrea Gallavotti
- Waksman Institute of Microbiology, Rutgers University, Piscataway, NJ, 08854-8020, USA
- Department of Plant Biology, Rutgers University, New Brunswick, NJ, 08901, USA
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3
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Wang H, Chen M, Wei X, Xia R, Pei D, Huang X, Han B. Computational tools for plant genomics and breeding. SCIENCE CHINA. LIFE SCIENCES 2024:10.1007/s11427-024-2578-6. [PMID: 38676814 DOI: 10.1007/s11427-024-2578-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 03/25/2024] [Indexed: 04/29/2024]
Abstract
Plant genomics and crop breeding are at the intersection of biotechnology and information technology. Driven by a combination of high-throughput sequencing, molecular biology and data science, great advances have been made in omics technologies at every step along the central dogma, especially in genome assembling, genome annotation, epigenomic profiling, and transcriptome profiling. These advances further revolutionized three directions of development. One is genetic dissection of complex traits in crops, along with genomic prediction and selection. The second is comparative genomics and evolution, which open up new opportunities to depict the evolutionary constraints of biological sequences for deleterious variant discovery. The third direction is the development of deep learning approaches for the rational design of biological sequences, especially proteins, for synthetic biology. All three directions of development serve as the foundation for a new era of crop breeding where agronomic traits are enhanced by genome design.
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Affiliation(s)
- Hai Wang
- State Key Laboratory of Maize Bio-breeding, Frontiers Science Center for Molecular Design Breeding, Joint International Research Laboratory of Crop Molecular Breeding, National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
- Sanya Institute of China Agricultural University, Sanya, 572025, China.
- Hainan Yazhou Bay Seed Laboratory, Sanya, 572025, China.
| | - Mengjiao Chen
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Xin Wei
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Rui Xia
- College of Horticulture, South China Agricultural University, Guangzhou, 510640, China
| | - Dong Pei
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the State Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Xuehui Huang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Bin Han
- National Center for Gene Research, CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, 200233, China
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4
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Song B, Buckler ES, Stitzer MC. New whole-genome alignment tools are needed for tapping into plant diversity. TRENDS IN PLANT SCIENCE 2024; 29:355-369. [PMID: 37749022 DOI: 10.1016/j.tplants.2023.08.013] [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: 04/24/2023] [Revised: 07/19/2023] [Accepted: 08/23/2023] [Indexed: 09/27/2023]
Abstract
Genome alignment is one of the most foundational methods for genome sequence studies. With rapid advances in sequencing and assembly technologies, these newly assembled genomes present challenges for alignment tools to meet the increased complexity and scale. Plant genome alignment is technologically challenging because of frequent whole-genome duplications (WGDs) as well as chromosome rearrangements and fractionation, high nucleotide diversity, widespread structural variation, and high transposable element (TE) activity causing large proportions of repeat elements. We summarize classical pairwise and multiple genome alignment (MGA) methods, and highlight techniques that are widely used or are being developed by the plant research community. We also outline the remaining challenges for precise genome alignment and the interpretation of alignment results in plants.
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Affiliation(s)
- Baoxing Song
- National Key Laboratory of Wheat Improvement, Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agriculture Sciences in Weifang, Weifang, Shandong 261325, China; Key Laboratory of Maize Biology and Genetic Breeding in Arid Area of Northwest Region of the Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China.
| | - Edward S Buckler
- Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA; Section of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853, USA; Agricultural Research Service, United States Department of Agriculture, Ithaca, NY 14853, USA
| | - Michelle C Stitzer
- Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA; Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA.
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5
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Yan H, Mendieta JP, Zhang X, Marand AP, Liang Y, Luo Z, Minow MAA, Roulé T, Wagner D, Tu X, Wang Y, Zhong S, Wessler SR, Schmitz RJ. Evolution of plant cell-type-specific cis -regulatory elements. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.08.574753. [PMID: 38260561 PMCID: PMC10802394 DOI: 10.1101/2024.01.08.574753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Cis -regulatory elements (CREs) are critical in regulating gene expression, and yet our understanding of CRE evolution remains a challenge. Here, we constructed a comprehensive single-cell atlas of chromatin accessibility in Oryza sativa , integrating data from 104,029 nuclei representing 128 discrete cell states across nine distinct organs. We used comparative genomics to compare cell-type resolved chromatin accessibility between O. sativa and 57,552 nuclei from four additional grass species ( Zea mays, Sorghum bicolor, Panicum miliaceum , and Urochloa fusca ). Accessible chromatin regions (ACRs) had different levels of conservation depending on the degree of cell-type specificity. We found a complex relationship between ACRs with conserved noncoding sequences, cell-type specificity, conservation, and tissue-specific switching. Additionally, we found that epidermal ACRs were less conserved compared to other cell types, potentially indicating that more rapid regulatory evolution has occurred in the L1 epidermal layer of these species. Finally, we identified and characterized a conserved subset of ACRs that overlapped the repressive histone modification H3K27me3, implicating them as potentially critical silencer CREs maintained by evolution. Collectively, this comparative genomics approach highlights the dynamics of cell-type-specific CRE evolution in plants.
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6
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Xu MRX, Liao ZY, Brock JR, Du K, Li GY, Chen ZQ, Wang YH, Gao ZN, Agarwal G, Wei KHC, Shao F, Pang S, Platts AE, van de Velde J, Lin HM, Teresi SJ, Bird K, Niederhuth CE, Xu JG, Yu GH, Yang JY, Dai SF, Nelson A, Braasch I, Zhang XG, Schartl M, Edger PP, Han MJ, Zhang HH. Maternal dominance contributes to subgenome differentiation in allopolyploid fishes. Nat Commun 2023; 14:8357. [PMID: 38102128 PMCID: PMC10724154 DOI: 10.1038/s41467-023-43740-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 11/17/2023] [Indexed: 12/17/2023] Open
Abstract
Teleost fishes, which are the largest and most diverse group of living vertebrates, have a rich history of ancient and recent polyploidy. Previous studies of allotetraploid common carp and goldfish (cyprinids) reported a dominant subgenome, which is more expressed and exhibits biased gene retention. However, the underlying mechanisms contributing to observed 'subgenome dominance' remains poorly understood. Here we report high-quality genomes of twenty-one cyprinids to investigate the origin and subsequent subgenome evolution patterns following three independent allopolyploidy events. We identify the closest extant relatives of the diploid progenitor species, investigate genetic and epigenetic differences among subgenomes, and conclude that observed subgenome dominance patterns are likely due to a combination of maternal dominance and transposable element densities in each polyploid. These findings provide an important foundation to understanding subgenome dominance patterns observed in teleost fishes, and ultimately the role of polyploidy in contributing to evolutionary innovations.
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Affiliation(s)
- Min-Rui-Xuan Xu
- College of Pharmacy and Life Science, Jiujiang University, Jiujiang, China
| | - Zhen-Yang Liao
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Jordan R Brock
- Department of Horticulture, Michigan State University, East Lansing, MI, USA
| | - Kang Du
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, TX, USA
| | - Guo-Yin Li
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | | | - Ying-Hao Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zhong-Nan Gao
- College of Pharmacy and Life Science, Jiujiang University, Jiujiang, China
| | - Gaurav Agarwal
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
| | - Kevin H-C Wei
- Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA
- Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Feng Shao
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Southwest University, School of Life Sciences, Chongqing, China
| | | | - Adrian E Platts
- Department of Horticulture, Michigan State University, East Lansing, MI, USA
| | - Jozefien van de Velde
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Hong-Min Lin
- College of Pharmacy and Life Science, Jiujiang University, Jiujiang, China
| | - Scott J Teresi
- Department of Horticulture, Michigan State University, East Lansing, MI, USA
| | - Kevin Bird
- Department of Horticulture, Michigan State University, East Lansing, MI, USA
| | - Chad E Niederhuth
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
| | - Jin-Gen Xu
- Jiujiang Academy of Agricultural Sciences, Jiujiang, China
| | - Guo-Hua Yu
- College of Pharmacy and Life Science, Jiujiang University, Jiujiang, China
| | - Jian-Yuan Yang
- College of Pharmacy and Life Science, Jiujiang University, Jiujiang, China
| | - Si-Fa Dai
- College of Pharmacy and Life Science, Jiujiang University, Jiujiang, China
| | | | - Ingo Braasch
- Department of Integrative Biology, Michigan State University, East Lansing, MI, USA
| | - Xiao-Gu Zhang
- College of Pharmacy and Life Science, Jiujiang University, Jiujiang, China.
| | - Manfred Schartl
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, TX, USA.
- Developmental Biochemistry, Biocenter, University of Würzburg, Würzburg, Bayern, Germany.
| | - Patrick P Edger
- Department of Horticulture, Michigan State University, East Lansing, MI, USA.
| | - Min-Jin Han
- State Key Laboratory of Resource Insects, Key Laboratory for Sericulture Functional Genomics and Biotechnology of Agricultural Ministry, Southwest University, Chongqing, China.
| | - Hua-Hao Zhang
- College of Pharmacy and Life Science, Jiujiang University, Jiujiang, China.
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7
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Xu Y, Bush SJ, Yang X, Xu L, Wang B, Ye K. Evolutionary analysis of conserved non-coding elements subsequent to whole-genome duplication in opium poppy. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 116:1804-1824. [PMID: 37706612 DOI: 10.1111/tpj.16466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/28/2023] [Accepted: 09/05/2023] [Indexed: 09/15/2023]
Abstract
Whole-genome duplication (WGD) leads to the duplication of both coding and non-coding sequences within an organism's genome, providing an abundant supply of genetic material that can drive evolution, ultimately contributing to plant adaptation and speciation. Although non-coding sequences contain numerous regulatory elements, they have been understudied compared to coding sequences. In order to address this gap, we explored the evolutionary patterns of regulatory sequences, coding sequences and transcriptomes using conserved non-coding elements (CNEs) as regulatory element proxies following the recent WGD event in opium poppy (Papaver somniferum). Our results showed similar evolutionary patterns in subgenomes of regulatory and coding sequences. Specifically, the biased or unbiased retention of coding sequences reflected the same pattern as retention levels in regulatory sequences. Further, the divergence of gene expression patterns mediated by regulatory element variations occurred at a more rapid pace than that of gene coding sequences. However, gene losses were purportedly dependent on relaxed selection pressure in coding sequences. Specifically, the rapid evolution of tissue-specific benzylisoquinoline alkaloid production in P. somniferum was associated with regulatory element changes. The origin of a novel stem-specific ACR, which utilized ancestral cis-elements as templates, is likely to be linked to the evolutionary trajectory behind the transition of the PSMT1-CYP719A21 cluster from high levels of expression solely in P. rhoeas root tissue to its elevated expression in P. somniferum stem tissue. Our findings demonstrate that rapid regulatory element evolution can contribute to the emergence of new phenotypes and provide valuable insights into the high evolvability of regulatory elements.
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Affiliation(s)
- Yu Xu
- School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Stephen J Bush
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xinyi Yang
- School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Linfeng Xu
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Bo Wang
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Kai Ye
- School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
- Genome Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
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8
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Singh V, Krause M, Sandhu D, Sekhon RS, Kaundal A. Salinity stress tolerance prediction for biomass-related traits in maize (Zea mays L.) using genome-wide markers. THE PLANT GENOME 2023; 16:e20385. [PMID: 37667417 DOI: 10.1002/tpg2.20385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/18/2023] [Accepted: 08/14/2023] [Indexed: 09/06/2023]
Abstract
Maize (Zea mays L.) is the third most important cereal crop after rice (Oryza sativa) and wheat (Triticum aestivum). Salinity stress significantly affects vegetative biomass and grain yield and, therefore, reduces the food and silage productivity of maize. Selecting salt-tolerant genotypes is a cumbersome and time-consuming process that requires meticulous phenotyping. To predict salt tolerance in maize, we estimated breeding values for four biomass-related traits, including shoot length, shoot weight, root length, and root weight under salt-stressed and controlled conditions. A five-fold cross-validation method was used to select the best model among genomic best linear unbiased prediction (GBLUP), ridge-regression BLUP (rrBLUP), extended GBLUP, Bayesian Lasso, Bayesian ridge regression, BayesA, BayesB, and BayesC. Examination of the effect of different marker densities on prediction accuracy revealed that a set of low-density single nucleotide polymorphisms obtained through filtering based on a combination of analysis of variance and linkage disequilibrium provided the best prediction accuracy for all the traits. The average prediction accuracy in cross-validations ranged from 0.46 to 0.77 across the four derived traits. The GBLUP, rrBLUP, and all Bayesian models except BayesB demonstrated comparable levels of prediction accuracy that were superior to the other modeling approaches. These findings provide a roadmap for the deployment and optimization of genomic selection in breeding for salt tolerance in maize.
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Affiliation(s)
- Vishal Singh
- Plants, Soils, and Climate, College of Agricultural and Applied Sciences, Utah State University, Logan, Utah, USA
- ICAR-Indian Institute of Maize Research, Ludhiana, Punjab, India
| | - Margaret Krause
- Plants, Soils, and Climate, College of Agricultural and Applied Sciences, Utah State University, Logan, Utah, USA
| | - Devinder Sandhu
- US Salinity Laboratory (USDA-ARS), Riverside, California, USA
| | - Rajandeep S Sekhon
- Department of Genetics and Biochemistry, Clemson University, Clemson, South Carolina, USA
| | - Amita Kaundal
- Plants, Soils, and Climate, College of Agricultural and Applied Sciences, Utah State University, Logan, Utah, USA
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9
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Iohannes SD, Jackson D. Tackling redundancy: genetic mechanisms underlying paralog compensation in plants. THE NEW PHYTOLOGIST 2023; 240:1381-1389. [PMID: 37724752 DOI: 10.1111/nph.19267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/29/2023] [Indexed: 09/21/2023]
Abstract
Gene duplication is a powerful source of biological innovation giving rise to paralogous genes that undergo diverse fates. Redundancy between paralogous genes is an intriguing outcome of duplicate gene evolution, and its maintenance over evolutionary time has long been considered a paradox. Redundancy can also be dubbed 'a geneticist's nightmare': It hinders the predictability of genome editing outcomes and limits our ability to link genotypes to phenotypes. Genetic studies in yeast and plants have suggested that the ability of ancient redundant duplicates to compensate for dosage perturbations resulting from a loss of function depends on the reprogramming of gene expression, a phenomenon known as active compensation. Starting from considerations on the stoichiometric constraints that drive the evolutionary stability of redundancy, this review aims to provide insights into the mechanisms of active compensation between duplicates that could be targeted for breaking paralog dependencies - the next frontier in plant functional studies.
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Affiliation(s)
- Sessen Daniel Iohannes
- School of Biological Sciences, Cold Spring Harbor Laboratory, Cold Spring Harbor, 11724, NY, USA
- Cold Spring Harbor Laboratory, Cold Spring Harbor, 11724, NY, USA
| | - David Jackson
- Cold Spring Harbor Laboratory, Cold Spring Harbor, 11724, NY, USA
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10
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Fang Y, Zhou B, Guo Y, Jiang J, Li X, Xie X. Comparative transcriptome analysis reveals the core molecular network in pattern-triggered immunity in Sorghum bicolor. Int J Biol Macromol 2023:124834. [PMID: 37207754 DOI: 10.1016/j.ijbiomac.2023.124834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 05/07/2023] [Accepted: 05/08/2023] [Indexed: 05/21/2023]
Abstract
Pathogen-associated molecular pattern (PAMP)-triggered immunity (PTI) is the first line of defense in plant disease resistance. However, the molecular mechanisms of plant PTI vary across species, making it challenging to identify a core set of trait-associated genes. This study aimed to investigate key factors that influence PTI and identify the core molecular network in Sorghum bicolor, a C4 plant. We performed comprehensive weighted gene co-expression network analysis and temporal expression analysis of large-scale transcriptome data from various sorghum cultivars under different PAMP treatments. Our results revealed that the type of PAMP had a stronger influence on the PTI network than did the sorghum cultivar. Following PAMP treatment, 30 genes with stable downregulated expression and 158 genes with stable upregulated expression were identified, including genes encoding potential pattern recognition receptors whose expression was upregulated within 1 h of treatment. PAMP treatment altered the expression of resistance-related, signaling, salt-sensitive, heavy metal-related, and transporter genes. These findings provide novel insights into the core genes involved in plant PTI and are expected to facilitate the identification and application of resistance genes in plant breeding studies.
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Affiliation(s)
- Yuanpeng Fang
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang 550025, PR China
| | - Bingqian Zhou
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang 550025, PR China
| | - Yushan Guo
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang 550025, PR China
| | - Junmei Jiang
- National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, PR China
| | - Xiangyang Li
- National Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, PR China
| | - Xin Xie
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang 550025, PR China.
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11
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Wu Y, Li D, Hu Y, Li H, Ramstein GP, Zhou S, Zhang X, Bao Z, Zhang Y, Song B, Zhou Y, Zhou Y, Gagnon E, Särkinen T, Knapp S, Zhang C, Städler T, Buckler ES, Huang S. Phylogenomic discovery of deleterious mutations facilitates hybrid potato breeding. Cell 2023; 186:2313-2328.e15. [PMID: 37146612 DOI: 10.1016/j.cell.2023.04.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 02/20/2023] [Accepted: 04/05/2023] [Indexed: 05/07/2023]
Abstract
Hybrid potato breeding will transform the crop from a clonally propagated tetraploid to a seed-reproducing diploid. Historical accumulation of deleterious mutations in potato genomes has hindered the development of elite inbred lines and hybrids. Utilizing a whole-genome phylogeny of 92 Solanaceae and its sister clade species, we employ an evolutionary strategy to identify deleterious mutations. The deep phylogeny reveals the genome-wide landscape of highly constrained sites, comprising ∼2.4% of the genome. Based on a diploid potato diversity panel, we infer 367,499 deleterious variants, of which 50% occur at non-coding and 15% at synonymous sites. Counterintuitively, diploid lines with relatively high homozygous deleterious burden can be better starting material for inbred-line development, despite showing less vigorous growth. Inclusion of inferred deleterious mutations increases genomic-prediction accuracy for yield by 24.7%. Our study generates insights into the genome-wide incidence and properties of deleterious mutations and their far-reaching consequences for breeding.
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Affiliation(s)
- Yaoyao Wu
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA
| | - Dawei Li
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; State Key Laboratory of Tropical Crop Breeding, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571101, China
| | - Yong Hu
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; The AGISCAAS-YNNU Joint Academy of Potato Sciences, Yunnan Normal University, Kunming, Yunnan 650500, China
| | - Hongbo Li
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Guillaume P Ramstein
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus 8000, Denmark
| | - Shaoqun Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Xinyan Zhang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Zhigui Bao
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; Department of Molecular Biology, Max Planck Institute for Biology Tübingen, 72076 Tübingen, Germany
| | - Yu Zhang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; School of Agriculture, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Baoxing Song
- Peking University Institute of Advanced Agricultural Sciences, Weifang, Shandong 261000, China
| | - Yao Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100094, China
| | - Yongfeng Zhou
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Edeline Gagnon
- Technische Universität München, TUM School of Life Sciences, Emil-Ramann-Strasse 2, 85354 Freising, Germany
| | - Tiina Särkinen
- Royal Botanic Garden Edinburgh, 20A Inverleith Row, Edinburgh EH3 5LR, UK
| | - Sandra Knapp
- Natural History Museum, Cromwell Road, London SW7 5BD, UK
| | - Chunzhi Zhang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China
| | - Thomas Städler
- Institute of Integrative Biology and Zurich-Basel Plant Science Center, ETH Zurich, 8092 Zurich, Switzerland
| | - Edward S Buckler
- Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853, USA; USDA-ARS, Ithaca, NY 14853, USA
| | - Sanwen Huang
- State Key Laboratory of Tropical Crop Breeding, Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, Guangdong 518120, China; State Key Laboratory of Tropical Crop Breeding, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571101, China.
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12
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Song H, Wang Q, Zhang Z, Lin K, Pang E. Identification of clade-wide putative cis-regulatory elements from conserved non-coding sequences in Cucurbitaceae genomes. HORTICULTURE RESEARCH 2023; 10:uhad038. [PMID: 37799630 PMCID: PMC10548412 DOI: 10.1093/hr/uhad038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 02/20/2023] [Indexed: 10/07/2023]
Abstract
Cis-regulatory elements regulate gene expression and play an essential role in the development and physiology of organisms. Many conserved non-coding sequences (CNSs) function as cis-regulatory elements. They control the development of various lineages. However, predicting clade-wide cis-regulatory elements across several closely related species remains challenging. Based on the relationship between CNSs and cis-regulatory elements, we present a computational approach that predicts the clade-wide putative cis-regulatory elements in 12 Cucurbitaceae genomes. Using 12-way whole-genome alignment, we first obtained 632 112 CNSs in Cucurbitaceae. Next, we identified 16 552 Cucurbitaceae-wide cis-regulatory elements based on collinearity among all 12 Cucurbitaceae plants. Furthermore, we predicted 3 271 potential regulatory pairs in the cucumber genome, of which 98 were verified using integrative RNA sequencing and ChIP sequencing datasets from samples collected during various fruit development stages. The CNSs, Cucurbitaceae-wide cis-regulatory elements, and their target genes are accessible at http://cmb.bnu.edu.cn/cisRCNEs_cucurbit/. These elements are valuable resources for functionally annotating CNSs and their regulatory roles in Cucurbitaceae genomes.
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Affiliation(s)
- Hongtao Song
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Qi Wang
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Zhonghua Zhang
- College of Horticulture, Qingdao Agricultural University, Qingdao 266109, China
| | - Kui Lin
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Erli Pang
- MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China
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13
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Zhou J, Liu G, Zhao Y, Zhang R, Tang X, Li L, Jia X, Guo Y, Wu Y, Han Y, Bao Y, He Y, Han Q, Yang H, Zheng X, Qi Y, Zhang T, Zhang Y. An efficient CRISPR-Cas12a promoter editing system for crop improvement. NATURE PLANTS 2023; 9:588-604. [PMID: 37024659 DOI: 10.1038/s41477-023-01384-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 03/02/2023] [Indexed: 06/19/2023]
Abstract
Promoter editing represents an innovative approach to introduce quantitative trait variation (QTV) in crops. However, an efficient promoter editing system for QTV needs to be established. Here we develop a CRISPR-Cas12a promoter editing (CAPE) system that combines a promoter key-region estimating model and an efficient CRISPR-Cas12a-based multiplexed or singular editing system. CAPE is benchmarked in rice to produce QTV continuums for grain starch content and size by targeting OsGBSS1 and OsGS3, respectively. We then apply CAPE for promoter editing of OsD18, a gene encoding GA3ox in the gibberellin biosynthesis pathway. The resulting lines carry a QTV continuum of semidwarfism without significantly compromising grain measures. Field trials demonstrated that the OsD18 promoter editing lines have the same yield performance and antilodging phenotype as the Green Revolution OsSD1 mutants in different genetic backgrounds. Hence, promoter editing of OsD18 generates a quantitative Green Revolution trait. Together, we demonstrate a CAPE-based promoter editing and tuning pipeline for efficient production of useful QTV continuum in crops.
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Affiliation(s)
- Jianping Zhou
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, School of Life Sciences, Southwest University, Chongqing, China
| | - Guanqing Liu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology, Agricultural College, Yangzhou University, Yangzhou, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, China
| | - Yuxin Zhao
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Rui Zhang
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xu Tang
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Ling Li
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xinyu Jia
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yachong Guo
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuechao Wu
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology, Agricultural College, Yangzhou University, Yangzhou, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, China
| | - Yangshuo Han
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology, Agricultural College, Yangzhou University, Yangzhou, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, China
| | - Yu Bao
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology, Agricultural College, Yangzhou University, Yangzhou, China
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, China
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, China
| | - Yao He
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qinqin Han
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Han Yang
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xuelian Zheng
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yiping Qi
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, Rockville, MD, USA.
- Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, MD, USA.
| | - Tao Zhang
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology, Agricultural College, Yangzhou University, Yangzhou, China.
- Key Laboratory of Plant Functional Genomics of the Ministry of Education/Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou, China.
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, China.
| | - Yong Zhang
- Department of Biotechnology, School of Life Sciences and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.
- Chongqing Key Laboratory of Plant Resource Conservation and Germplasm Innovation, Integrative Science Center of Germplasm Creation in Western China (Chongqing) Science City, School of Life Sciences, Southwest University, Chongqing, China.
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Key Laboratory of Crop Genetics and Physiology, Agricultural College, Yangzhou University, Yangzhou, China.
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14
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Zhang L, Wu J, Liang J, Lin R, Sun C, Dai Q, Zhang L, Guo H, Zhao R, Wang X. Conserved noncoding sequences correlate with distant gene contacts in Arabidopsis and Brassica. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023. [PMID: 36762577 DOI: 10.1111/jipb.13465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
Physical contact between genes distant on chromosomes is a potentially important way for genes to coordinate their expressions. To investigate the potential importance of distant contacts, we performed high-throughput chromatin conformation capture (Hi-C) experiments on leaf nuclei isolated from Brassica rapa and Brassica oleracea. We then combined our results with published Hi-C data from Arabidopsis thaliana. We found that distant genes come into physical contact and do so preferentially between the proximal promoter of one gene and the downstream region of another gene. Genes with higher numbers of conserved noncoding sequences (CNSs) nearby were more likely to have contact with distant genes. With more CNSs came higher numbers of transcription factor binding sites and more histone modifications associated with the activity. In addition, for the genes we studied, distant contacting genes with CNSs were more likely to be transcriptionally coordinated. These observations suggest that CNSs may enrich active histone modifications and recruit transcription factors, correlating with distant contacts to ensure coordinated expression. This study advances our knowledge of gene contacts and provides insights into the relationship between CNSs and distant gene contacts in plants.
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Affiliation(s)
- Lei Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jian Wu
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jianli Liang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Runmao Lin
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chao Sun
- Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091, China
| | - Qirui Dai
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Lupeng Zhang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Huiling Guo
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Ranze Zhao
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiaowu Wang
- State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
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15
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Li T, Yin L, Stoll CE, Lisch D, Zhao M. Conserved noncoding sequences and de novo Mutator insertion alleles are imprinted in maize. PLANT PHYSIOLOGY 2023; 191:299-316. [PMID: 36173333 PMCID: PMC9806621 DOI: 10.1093/plphys/kiac459] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 08/30/2022] [Indexed: 05/20/2023]
Abstract
Genomic imprinting is an epigenetic phenomenon in which differential allele expression occurs in a parent-of-origin-dependent manner. Imprinting in plants is tightly linked to transposable elements (TEs), and it has been hypothesized that genomic imprinting may be a consequence of demethylation of TEs. Here, we performed high-throughput sequencing of ribonucleic acids from four maize (Zea mays) endosperms that segregated newly silenced Mutator (Mu) transposons and identified 110 paternally expressed imprinted genes (PEGs) and 139 maternally expressed imprinted genes (MEGs). Additionally, two potentially novel paternally suppressed MEGs are associated with de novo Mu insertions. In addition, we find evidence for parent-of-origin effects on expression of 407 conserved noncoding sequences (CNSs) in maize endosperm. The imprinted CNSs are largely localized within genic regions and near genes, but the imprinting status of the CNSs are largely independent of their associated genes. Both imprinted CNSs and PEGs have been subject to relaxed selection. However, our data suggest that although MEGs were already subject to a higher mutation rate prior to their being imprinted, imprinting may be the cause of the relaxed selection of PEGs. In addition, although DNA methylation is lower in the maternal alleles of both the maternally and paternally expressed CNSs (mat and pat CNSs), the difference between the two alleles in H3K27me3 levels was only observed in pat CNSs. Together, our findings point to the importance of both transposons and CNSs in genomic imprinting in maize.
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Affiliation(s)
- Tong Li
- Department of Biology, Miami University, Oxford, Ohio 45056, USA
- State Key Laboratory of Plant Physiology and Biochemistry, National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing 100193, P.R. China
| | - Liangwei Yin
- Department of Biology, Miami University, Oxford, Ohio 45056, USA
| | - Claire E Stoll
- Department of Biology, Miami University, Oxford, Ohio 45056, USA
| | - Damon Lisch
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, Indiana 47907, USA
| | - Meixia Zhao
- Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida 32611, USA
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16
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Srikant T, Yuan W, Berendzen KW, Contreras-Garrido A, Drost HG, Schwab R, Weigel D. Canalization of genome-wide transcriptional activity in Arabidopsis thaliana accessions by MET1-dependent CG methylation. Genome Biol 2022; 23:263. [PMID: 36539836 PMCID: PMC9768921 DOI: 10.1186/s13059-022-02833-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Despite its conserved role on gene expression and transposable element (TE) silencing, genome-wide CG methylation differs substantially between wild Arabidopsis thaliana accessions. RESULTS To test our hypothesis that global reduction of CG methylation would reduce epigenomic, transcriptomic, and phenotypic diversity in A. thaliana accessions, we knock out MET1, which is required for CG methylation, in 18 early-flowering accessions. Homozygous met1 mutants in all accessions suffer from common developmental defects such as dwarfism and delayed flowering, in addition to accession-specific abnormalities in rosette leaf architecture, silique morphology, and fertility. Integrated analysis of genome-wide methylation, chromatin accessibility, and transcriptomes confirms that MET1 inactivation greatly reduces CG methylation and alters chromatin accessibility at thousands of loci. While the effects on TE activation are similarly drastic in all accessions, the quantitative effects on non-TE genes vary greatly. The global expression profiles of accessions become considerably more divergent from each other after genome-wide removal of CG methylation, although a few genes with diverse expression profiles across wild-type accessions tend to become more similar in mutants. Most differentially expressed genes do not exhibit altered chromatin accessibility or CG methylation in cis, suggesting that absence of MET1 can have profound indirect effects on gene expression and that these effects vary substantially between accessions. CONCLUSIONS Systematic analysis of MET1 requirement in different A. thaliana accessions reveals a dual role for CG methylation: for many genes, CG methylation appears to canalize expression levels, with methylation masking regulatory divergence. However, for a smaller subset of genes, CG methylation increases expression diversity beyond genetically encoded differences.
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Affiliation(s)
- Thanvi Srikant
- grid.419580.10000 0001 0942 1125Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany ,grid.5801.c0000 0001 2156 2780Present address: Institute of Molecular Plant Biology, Department of Biology, ETH Zürich, Zürich, Switzerland
| | - Wei Yuan
- grid.419580.10000 0001 0942 1125Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Kenneth Wayne Berendzen
- grid.10392.390000 0001 2190 1447Plant Transformation and Flow Cytometry Facility, ZMBP, University of Tübingen, Tübingen, Germany
| | - Adrián Contreras-Garrido
- grid.419580.10000 0001 0942 1125Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Hajk-Georg Drost
- grid.419580.10000 0001 0942 1125Computational Biology Group, Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Rebecca Schwab
- grid.419580.10000 0001 0942 1125Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany
| | - Detlef Weigel
- grid.419580.10000 0001 0942 1125Department of Molecular Biology, Max Planck Institute for Biology Tübingen, Tübingen, Germany
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17
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Zhou X, Zhu T, Fang W, Yu R, He Z, Chen D. Systematic annotation of conservation states provides insights into regulatory regions in rice. J Genet Genomics 2022; 49:1127-1137. [PMID: 35470092 DOI: 10.1016/j.jgg.2022.04.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 04/08/2022] [Accepted: 04/12/2022] [Indexed: 01/14/2023]
Abstract
Plant genomes contain a large fraction of noncoding sequences. The discovery and annotation of conserved noncoding sequences (CNSs) in plants is an ongoing challenge. Here we report the application of comparative genomics to systematically identify CNSs in 50 well-annotated Gramineae genomes using rice (Oryza sativa) as the reference. We conduct multiple-way whole-genome alignments to the rice genome. The rice genome is annotated as 20 conservation states (CSs) at single-nucleotide resolution using a multivariate hidden Markov model (ConsHMM) based on the multiple-genome alignments. Different states show distinct enrichments for various genomic features, and the conservation scores of CSs are highly correlated with the level of associated chromatin accessibility. We find that at least 33.5% of the rice genome is highly under selection, with more than 70% of the sequence lying outside of coding regions. A catalog of 855,366 regulatory CNSs is generated, and they significantly overlapped with putative active regulatory elements such as promoters, enhancers, and transcription factor binding sites. Collectively, our study provides a resource for elucidating functional noncoding regions of the rice genome and an evolutionary aspect of regulatory sequences in higher plants.
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Affiliation(s)
- Xinkai Zhou
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Tao Zhu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Wen Fang
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Ranran Yu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Zhaohui He
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, Jiangsu 210023, China
| | - Dijun Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, Jiangsu 210023, China.
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18
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Ramstein GP, Buckler ES. Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize. Genome Biol 2022; 23:183. [PMID: 36050782 PMCID: PMC9438327 DOI: 10.1186/s13059-022-02747-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 08/15/2022] [Indexed: 11/10/2022] Open
Abstract
Background Crop improvement through cross-population genomic prediction and genome editing requires identification of causal variants at high resolution, within fewer than hundreds of base pairs. Most genetic mapping studies have generally lacked such resolution. In contrast, evolutionary approaches can detect genetic effects at high resolution, but they are limited by shifting selection, missing data, and low depth of multiple-sequence alignments. Here we use genomic annotations to accurately predict nucleotide conservation across angiosperms, as a proxy for fitness effect of mutations. Results Using only sequence analysis, we annotate nonsynonymous mutations in 25,824 maize gene models, with information from bioinformatics and deep learning. Our predictions are validated by experimental information: within-species conservation, chromatin accessibility, and gene expression. According to gene ontology and pathway enrichment analyses, predicted nucleotide conservation points to genes in central carbon metabolism. Importantly, it improves genomic prediction for fitness-related traits such as grain yield, in elite maize panels, by stringent prioritization of fewer than 1% of single-site variants. Conclusions Our results suggest that predicting nucleotide conservation across angiosperms may effectively prioritize sites most likely to impact fitness-related traits in crops, without being limited by shifting selection, missing data, and low depth of multiple-sequence alignments. Our approach—Prediction of mutation Impact by Calibrated Nucleotide Conservation (PICNC)—could be useful to select polymorphisms for accurate genomic prediction, and candidate mutations for efficient base editing. The trained PICNC models and predicted nucleotide conservation at protein-coding SNPs in maize are publicly available in CyVerse (10.25739/hybz-2957). Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02747-2.
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Affiliation(s)
- Guillaume P Ramstein
- Center for Quantitative Genetics and Genomics, Aarhus University, 8000, Aarhus, Denmark. .,Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA.
| | - Edward S Buckler
- Institute for Genomic Diversity, Cornell University, Ithaca, NY, 14853, USA.,USDA-ARS, Ithaca, NY, 14853, USA
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19
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Wu Y, Johnson L, Song B, Romay C, Stitzer M, Siepel A, Buckler E, Scheben A. A multiple alignment workflow shows the effect of repeat masking and parameter tuning on alignment in plants. THE PLANT GENOME 2022; 15:e20204. [PMID: 35416423 DOI: 10.1002/tpg2.20204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 02/21/2022] [Indexed: 06/14/2023]
Abstract
Alignments of multiple genomes are a cornerstone of comparative genomics, but generating these alignments remains technically challenging and often impractical. We developed the msa_pipeline workflow (https://bitbucket.org/bucklerlab/msa_pipeline) to allow practical and sensitive multiple alignment of diverged plant genomes and calculation of conservation scores with minimal user inputs. As high repeat content and genomic divergence are substantial challenges in plant genome alignment, we also explored the effect of different masking approaches and parameters of the LAST aligner using genome assemblies of 33 grass species. Compared with conventional masking with RepeatMasker, a masking approach based on k-mers (nucleotide sequences of k length) increased the alignment rate of coding sequence and noncoding functional regions by 25 and 14%, respectively. We further found that default alignment parameters generally perform well, but parameter tuning can increase the alignment rate for noncoding functional regions by over 52% compared with default LAST settings. Finally, by increasing alignment sensitivity from the default baseline, parameter tuning can increase the number of noncoding sites that can be scored for conservation by over 76%. Overall, tuning of masking and alignment parameters can generate optimized multiple alignments to drive biological discovery in plants.
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Affiliation(s)
- Yaoyao Wu
- Institute for Genomic Diversity, Cornell Univ., Ithaca, NY, 14853, USA
- Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Lynn Johnson
- Institute for Genomic Diversity, Cornell Univ., Ithaca, NY, 14853, USA
| | - Baoxing Song
- Institute for Genomic Diversity, Cornell Univ., Ithaca, NY, 14853, USA
| | - Cinta Romay
- Institute for Genomic Diversity, Cornell Univ., Ithaca, NY, 14853, USA
| | - Michelle Stitzer
- Institute for Genomic Diversity, Cornell Univ., Ithaca, NY, 14853, USA
- Dep. of Molecular Biology and Genetics, Cornell Univ., Ithaca, NY, 14853, USA
| | - Adam Siepel
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA
| | - Edward Buckler
- Institute for Genomic Diversity, Cornell Univ., Ithaca, NY, 14853, USA
- USDA-ARS, Ithaca, NY, 14853, USA
- Dep. of Molecular Biology and Genetics, Cornell Univ., Ithaca, NY, 14853, USA
| | - Armin Scheben
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, USA
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20
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Lee JS, Jahani M, Huang K, Mandel JR, Marek LF, Burke JM, Langlade NB, Owens GL, Rieseberg LH. Expression complementation of gene presence/absence polymorphisms in hybrids contributes importantly to heterosis in sunflower. J Adv Res 2022; 42:83-98. [PMID: 36513422 PMCID: PMC9788961 DOI: 10.1016/j.jare.2022.04.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 04/01/2022] [Accepted: 04/16/2022] [Indexed: 12/27/2022] Open
Abstract
INTRODUCTION Numerous crops have transitioned to hybrid seed production to increase yields and yield stability through heterosis. However, the molecular mechanisms underlying heterosis and its stability across environments are not yet fully understood. OBJECTIVES This study aimed to (1) elucidate the genetic and molecular mechanisms underlying heterosis in sunflower, and (2) determine how heterosis is maintained under different environments. METHODS Genome-wide association (GWA) analyses were employed to assess the effects of presence/absence variants (PAVs) and stop codons on 16 traits phenotyped in the sunflower association mapping population at three locations. To link the GWA results to transcriptomic variation, we sequenced the transcriptomes of two sunflower cultivars and their F1 hybrid (INEDI) under both control and drought conditions and analyzed patterns of gene expression and alternative splicing. RESULTS Thousands of PAVs were found to affect phenotypic variation using a relaxed significance threshold, and at most such loci the "absence" allele reduced values of heterotic traits, but not those of non-heterotic traits. This pattern was strengthened for PAVs that showed expression complementation in INEDI. Stop codons were much rarer than PAVs and less likely to reduce heterotic trait values. Hybrid expression patterns were enriched for the GO category, sensitivity to stimulus, but all genotypes responded to drought similarily - by up-regulating water stress response pathways and down-regulating metabolic pathways. Changes in alternative splicing were strongly negatively correlated with expression variation, implying that alternative splicing in this system largely acts to reinforce expression responses. CONCLUSION Our results imply that complementation of expression of PAVs in hybrids is a major contributor to heterosis in sunflower, consistent with the dominance model of heterosis. This mechanism can account for yield stability across different environments. Moreover, given the much larger numbers of PAVs in plant vs. animal genomes, it also offers an explanation for the stronger heterotic responses seen in the former.
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Affiliation(s)
- Joon Seon Lee
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Mojtaba Jahani
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Kaichi Huang
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Jennifer R. Mandel
- Department of Biological Sciences and Center for Biodiversity, University of Memphis, Memphis, TN 38152, USA
| | - Laura F. Marek
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | - John M. Burke
- Department of Plant Biology, Miller Plant Sciences, University of Georgia, Athens 30602, Georgia
| | | | - Gregory L. Owens
- Department of Biology, University of Victoria, Victoria, BC V8P 5C2, Canada
| | - Loren H. Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada,Corresponding author.
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21
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Pereira WJ, Knaack S, Chakraborty S, Conde D, Folk RA, Triozzi PM, Balmant KM, Dervinis C, Schmidt HW, Ané J, Roy S, Kirst M. Functional and comparative genomics reveals conserved noncoding sequences in the nitrogen-fixing clade. THE NEW PHYTOLOGIST 2022; 234:634-649. [PMID: 35092309 PMCID: PMC9302667 DOI: 10.1111/nph.18006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 01/16/2022] [Indexed: 06/14/2023]
Abstract
Nitrogen is one of the most inaccessible plant nutrients, but certain species have overcome this limitation by establishing symbiotic interactions with nitrogen-fixing bacteria in the root nodule. This root-nodule symbiosis (RNS) is restricted to species within a single clade of angiosperms, suggesting a critical, but undetermined, evolutionary event at the base of this clade. To identify putative regulatory sequences implicated in the evolution of RNS, we evaluated the genomes of 25 species capable of nodulation and identified 3091 conserved noncoding sequences (CNS) in the nitrogen-fixing clade (NFC). We show that the chromatin accessibility of 452 CNS correlates significantly with the regulation of genes responding to lipochitooligosaccharides in Medicago truncatula. These included 38 CNS in proximity to 19 known genes involved in RNS. Five such regions are upstream of MtCRE1, Cytokinin Response Element 1, required to activate a suite of downstream transcription factors necessary for nodulation in M. truncatula. Genetic complementation of an Mtcre1 mutant showed a significant decrease of nodulation in the absence of the five CNS, when they are driving the expression of a functional copy of MtCRE1. CNS identified in the NFC may harbor elements required for the regulation of genes controlling RNS in M. truncatula.
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Affiliation(s)
- Wendell J. Pereira
- School of Forest, Fisheries and Geomatics SciencesUniversity of FloridaGainesvilleFL32611USA
| | - Sara Knaack
- Wisconsin Institute for DiscoveryUniversity of Wisconsin‐MadisonMadisonWI53715USA
| | | | - Daniel Conde
- School of Forest, Fisheries and Geomatics SciencesUniversity of FloridaGainesvilleFL32611USA
| | - Ryan A. Folk
- Department of Biological SciencesMississippi State UniversityStarkvilleMS39762USA
| | - Paolo M. Triozzi
- School of Forest, Fisheries and Geomatics SciencesUniversity of FloridaGainesvilleFL32611USA
| | - Kelly M. Balmant
- School of Forest, Fisheries and Geomatics SciencesUniversity of FloridaGainesvilleFL32611USA
| | - Christopher Dervinis
- School of Forest, Fisheries and Geomatics SciencesUniversity of FloridaGainesvilleFL32611USA
| | - Henry W. Schmidt
- School of Forest, Fisheries and Geomatics SciencesUniversity of FloridaGainesvilleFL32611USA
| | - Jean‐Michel Ané
- Department of BacteriologyUniversity of Wisconsin‐MadisonMadisonWI53706USA
- Department of AgronomyUniversity of Wisconsin‐MadisonMadisonWI53706USA
| | - Sushmita Roy
- Wisconsin Institute for DiscoveryUniversity of Wisconsin‐MadisonMadisonWI53715USA
- Department of Biostatistics and Medical InformaticsUniversity of Wisconsin‐MadisonMadisonWI53715USA
| | - Matias Kirst
- School of Forest, Fisheries and Geomatics SciencesUniversity of FloridaGainesvilleFL32611USA
- Genetics InstituteUniversity of FloridaGainesvilleFL32611USA
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22
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Yocca AE, Edger PP. Current status and future perspectives on the evolution of cis-regulatory elements in plants. CURRENT OPINION IN PLANT BIOLOGY 2022; 65:102139. [PMID: 34837823 DOI: 10.1016/j.pbi.2021.102139] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 09/20/2021] [Accepted: 10/06/2021] [Indexed: 06/13/2023]
Abstract
Cis-regulatory elements (CREs) are short stretches (∼5-15 base pairs) of DNA capable of being bound by a transcription factor and influencing the expression of nearby genes. These regions are of great interest to anyone studying the relationship between phenotype and genotype as these sequences often dictate genes' spatio-temporal expression. Indeed, several associative signals between genotype and phenotype are known to lie outside of protein-coding regions. Therefore, a key to understand evolutionary biology requires their characterization in current and future genome assemblies. In this review, we cover some recent examples of how CRE variation contributes to phenotypic evolution, discuss evidence for the selective pressures experienced by non-coding regions of the genome, and consider several studies on accessible chromatin regions in plants and what they can tell us about CREs. Finally, we discuss how current advances in sequencing technologies will improve our knowledge of CRE variation.
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Affiliation(s)
- Alan E Yocca
- Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA; Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA
| | - Patrick P Edger
- Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA; Genetics and Genome Sciences Program, Michigan State University, East Lansing, MI, 48824, USA.
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23
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Song B, Marco-Sola S, Moreto M, Johnson L, Buckler ES, Stitzer MC. AnchorWave: Sensitive alignment of genomes with high sequence diversity, extensive structural polymorphism, and whole-genome duplication. Proc Natl Acad Sci U S A 2022; 119:e2113075119. [PMID: 34934012 PMCID: PMC8740769 DOI: 10.1073/pnas.2113075119] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/15/2021] [Indexed: 12/04/2022] Open
Abstract
Millions of species are currently being sequenced, and their genomes are being compared. Many of them have more complex genomes than model systems and raise novel challenges for genome alignment. Widely used local alignment strategies often produce limited or incongruous results when applied to genomes with dispersed repeats, long indels, and highly diverse sequences. Moreover, alignment using many-to-many or reciprocal best hit approaches conflicts with well-studied patterns between species with different rounds of whole-genome duplication. Here, we introduce Anchored Wavefront alignment (AnchorWave), which performs whole-genome duplication-informed collinear anchor identification between genomes and performs base pair-resolved global alignment for collinear blocks using a two-piece affine gap cost strategy. This strategy enables AnchorWave to precisely identify multikilobase indels generated by transposable element (TE) presence/absence variants (PAVs). When aligning two maize genomes, AnchorWave successfully recalled 87% of previously reported TE PAVs. By contrast, other genome alignment tools showed low power for TE PAV recall. AnchorWave precisely aligns up to three times more of the genome as position matches or indels than the closest competitive approach when comparing diverse genomes. Moreover, AnchorWave recalls transcription factor-binding sites at a rate of 1.05- to 74.85-fold higher than other tools with significantly lower false-positive alignments. AnchorWave complements available genome alignment tools by showing obvious improvement when applied to genomes with dispersed repeats, active TEs, high sequence diversity, and whole-genome duplication variation.
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Affiliation(s)
- Baoxing Song
- Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853;
| | - Santiago Marco-Sola
- Department of Computer Sciences, Barcelona Supercomputing Center, Barcelona 08034, Spain
- Departament d'Arquitectura de Computadors i Sistemes Operatius, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
| | - Miquel Moreto
- Department of Computer Sciences, Barcelona Supercomputing Center, Barcelona 08034, Spain
- Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya, Barcelona 08034, Spain
| | - Lynn Johnson
- Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853
| | - Edward S Buckler
- Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853;
- Section of Plant Breeding and Genetics, Cornell University, Ithaca, NY 14853
- Agricultural Research Service, US Department of Agriculture, Ithaca, NY 14853
| | - Michelle C Stitzer
- Institute for Genomic Diversity, Cornell University, Ithaca, NY 14853;
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853
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24
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Fang Y, Jiang J, Hou X, Guo J, Li X, Zhao D, Xie X. Plant protein-coding gene families: Their origin and evolution. FRONTIERS IN PLANT SCIENCE 2022; 13:995746. [PMID: 36160967 PMCID: PMC9490259 DOI: 10.3389/fpls.2022.995746] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 08/15/2022] [Indexed: 05/13/2023]
Abstract
Steady advances in genome sequencing methods have provided valuable insights into the evolutionary processes of several gene families in plants. At the core of plant biodiversity is an extensive genetic diversity with functional divergence and expansion of genes across gene families, representing unique phenomena. The evolution of gene families underpins the evolutionary history and development of plants and is the subject of this review. We discuss the implications of the molecular evolution of gene families in plants, as well as the potential contributions, challenges, and strategies associated with investigating phenotypic alterations to explain the origin of plants and their tolerance to environmental stresses.
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Affiliation(s)
- Yuanpeng Fang
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang, China
| | - Junmei Jiang
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, China
| | - Xiaolong Hou
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang, China
| | - Jiyuan Guo
- Department of Resources and Environment, Moutai Institute, Zunyi, China
| | - Xiangyang Li
- State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang, China
| | - Degang Zhao
- Key Laboratory of Mountain Plant Resources Protection and Germplasm Innovation, Ministry of Education, College of Life Sciences, Institute of Agricultural Bioengineering, Guizhou University, Guiyang, China
- Guizhou Conservation Technology Application Engineering Research Center, Guizhou Institute of Prataculture/Guizhou Institute of Biotechnology/Guizhou Academy of Agricultural Sciences, Guiyang, China
- *Correspondence: Degang Zhao,
| | - Xin Xie
- Key Laboratory of Agricultural Microbiology, College of Agriculture, Guizhou University, Guiyang, China
- Guizhou Conservation Technology Application Engineering Research Center, Guizhou Institute of Prataculture/Guizhou Institute of Biotechnology/Guizhou Academy of Agricultural Sciences, Guiyang, China
- Xin Xie,
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25
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Huang Y, Liu Y, Liu C, Birchler JA, Han F. Prospects and challenges of epigenomics in crop improvement. Genes Genomics 2021; 44:251-257. [PMID: 34837632 DOI: 10.1007/s13258-021-01187-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 11/04/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND The advent of high-throughput epigenome mapping techniques has ushered in a new era of multiomics with powerful tools now available to map and record genomic output at different levels. Integrating the different components of the epigenome from these multiomics measures allows investigations of cis-regulatory elements on a genome-scale. Mapping of chromatin state, chromatin accessibility dynamics, and higher-order chromatin structure enables a new level of understanding of cell fate determination, identity and function in normal growth and development, disease resistance, and yield. OBJECTIVE In this paper, the recent advances in epigenomics research of rice, maize, and wheat are reviewed, and the development trends of epigenomics of major crops in the coming years are projected. METHODS We highlight the role of epigenomics in regulating growth and development and identifying potential distal cis-regulatory elements in three major crops, and discuss the prospects and challenges for new epigenetics-mediated breeding technologies in crop improvement. CONCLUSION In this review, we summarize and analyze recent epigenomic advances in three major crops epigenomics and discuss possibilities and challenges for future research in the field.
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Affiliation(s)
- Yuhong Huang
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yang Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Chang Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - James A Birchler
- Division of Biological Sciences, University of Missouri at Columbia, Columbia, MO, 65211, USA
| | - Fangpu Han
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China.
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