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He X, Qi Z, Liu Z, Chang X, Zhang X, Li J, Wang M. Pangenome analysis reveals transposon-driven genome evolution in cotton. BMC Biol 2024; 22:92. [PMID: 38654264 DOI: 10.1186/s12915-024-01893-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 04/18/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Transposable elements (TEs) have a profound influence on the trajectory of plant evolution, driving genome expansion and catalyzing phenotypic diversification. The pangenome, a comprehensive genetic pool encompassing all variations within a species, serves as an invaluable tool, unaffected by the confounding factors of intraspecific diversity. This allows for a more nuanced exploration of plant TE evolution. RESULTS Here, we constructed a pangenome for diploid A-genome cotton using 344 accessions from representative geographical regions, including 223 from China as the main component. We found 511 Mb of non-reference sequences (NRSs) and revealed the presence of 5479 previously undiscovered protein-coding genes. Our comprehensive approach enabled us to decipher the genetic underpinnings of the distinct geographic distributions of cotton. Notably, we identified 3301 presence-absence variations (PAVs) that are closely tied to gene expression patterns within the pangenome, among which 2342 novel expression quantitative trait loci (eQTLs) were found residing in NRSs. Our investigation also unveiled contrasting patterns of transposon proliferation between diploid and tetraploid cotton, with long terminal repeat (LTR) retrotransposons exhibiting a synchronized surge in polyploids. Furthermore, the invasion of LTR retrotransposons from the A subgenome to the D subgenome triggered a substantial expansion of the latter following polyploidization. In addition, we found that TE insertions were responsible for the loss of 36.2% of species-specific genes, as well as the generation of entirely new species-specific genes. CONCLUSIONS Our pangenome analyses provide new insights into cotton genomics and subgenome dynamics after polyploidization and demonstrate the power of pangenome approaches for elucidating transposon impacts and genome evolution.
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Affiliation(s)
- Xin He
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Zhengyang Qi
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Zhenping Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xing Chang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Xianlong Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China
| | - Jianying Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
| | - Maojun Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
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2
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Hu H, Li R, Zhao J, Batley J, Edwards D. Technological Development and Advances for Constructing and Analyzing Plant Pangenomes. Genome Biol Evol 2024; 16:evae081. [PMID: 38669452 PMCID: PMC11058698 DOI: 10.1093/gbe/evae081] [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: 11/06/2023] [Revised: 04/09/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
A pangenome captures the genomic diversity for a species, derived from a collection of genetic sequences of diverse populations. Advances in sequencing technologies have given rise to three primary methods for pangenome construction and analysis: de novo assembly and comparison, reference genome-based iterative assembly, and graph-based pangenome construction. Each method presents advantages and challenges in processing varying amounts and structures of DNA sequencing data. With the emergence of high-quality genome assemblies and advanced bioinformatic tools, the graph-based pangenome is emerging as an advanced reference for exploring the biological and functional implications of genetic variations.
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Affiliation(s)
- Haifei Hu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs & Guangdong Key Laboratory of New Technology in Rice Breeding & Guangdong Rice Engineering Laboratory, Guangzhou 510640, China
| | - Risheng Li
- Rice Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs & Guangdong Key Laboratory of New Technology in Rice Breeding & Guangdong Rice Engineering Laboratory, Guangzhou 510640, China
- College of Agriculture, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Junliang Zhao
- Rice Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs & Guangdong Key Laboratory of New Technology in Rice Breeding & Guangdong Rice Engineering Laboratory, Guangzhou 510640, China
| | - Jacqueline Batley
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
| | - David Edwards
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
- Centre for Applied Bioinformatics, University of Western Australia, Perth, WA 6009, Australia
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3
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Hu H, Scheben A, Wang J, Li F, Li C, Edwards D, Zhao J. Unravelling inversions: Technological advances, challenges, and potential impact on crop breeding. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:544-554. [PMID: 37961986 PMCID: PMC10893937 DOI: 10.1111/pbi.14224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/11/2023] [Accepted: 10/22/2023] [Indexed: 11/15/2023]
Abstract
Inversions, a type of chromosomal structural variation, significantly influence plant adaptation and gene functions by impacting gene expression and recombination rates. However, compared with other structural variations, their roles in functional biology and crop improvement remain largely unexplored. In this review, we highlight technological and methodological advancements that have allowed a comprehensive understanding of inversion variants through the pangenome framework and machine learning algorithms. Genome editing is an efficient method for inducing or reversing inversion mutations in plants, providing an effective mechanism to modify local recombination rates. Given the potential of inversions in crop breeding, we anticipate increasing attention on inversions from the scientific community in future research and breeding applications.
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Affiliation(s)
- Haifei Hu
- Rice Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co‐construction by Ministry and Province), Ministry of Agriculture and Rural Affairs & Guangdong Key Laboratory of New Technology in Rice Breeding & Guangdong Rice Engineering LaboratoryGuangzhouChina
| | - Armin Scheben
- Simons Center for Quantitative Biology, Cold Spring Harbor LaboratoryCold Spring HarborNew YorkUSA
| | - Jian Wang
- Rice Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co‐construction by Ministry and Province), Ministry of Agriculture and Rural Affairs & Guangdong Key Laboratory of New Technology in Rice Breeding & Guangdong Rice Engineering LaboratoryGuangzhouChina
| | - Fangping Li
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro‐BioresourcesSouth China Agricultural UniversityGuangzhouChina
| | - Chengdao Li
- Western Crop Genetics Alliance, Centre for Crop & Food Innovation, Food Futures Institute, College of Science, Health, Engineering and EducationMurdoch UniversityMurdochWestern AustraliaAustralia
| | - David Edwards
- School of Biological SciencesUniversity of Western AustraliaPerthWestern AustraliaAustralia
- Australia & Centre for Applied BioinformaticsUniversity of Western AustraliaPerthWestern AustraliaAustralia
| | - Junliang Zhao
- Rice Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co‐construction by Ministry and Province), Ministry of Agriculture and Rural Affairs & Guangdong Key Laboratory of New Technology in Rice Breeding & Guangdong Rice Engineering LaboratoryGuangzhouChina
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4
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Zhang D, Li YY, Zhao X, Zhang C, Liu DK, Lan S, Yin W, Liu ZJ. Molecular insights into self-incompatibility systems: From evolution to breeding. PLANT COMMUNICATIONS 2024; 5:100719. [PMID: 37718509 PMCID: PMC10873884 DOI: 10.1016/j.xplc.2023.100719] [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: 03/29/2023] [Revised: 08/18/2023] [Accepted: 09/13/2023] [Indexed: 09/19/2023]
Abstract
Plants have evolved diverse self-incompatibility (SI) systems for outcrossing. Since Darwin's time, considerable progress has been made toward elucidating this unrivaled reproductive innovation. Recent advances in interdisciplinary studies and applications of biotechnology have given rise to major breakthroughs in understanding the molecular pathways that lead to SI, particularly the strikingly different SI mechanisms that operate in Solanaceae, Papaveraceae, Brassicaceae, and Primulaceae. These best-understood SI systems, together with discoveries in other "nonmodel" SI taxa such as Poaceae, suggest a complex evolutionary trajectory of SI, with multiple independent origins and frequent and irreversible losses. Extensive exploration of self-/nonself-discrimination signaling cascades has revealed a comprehensive catalog of male and female identity genes and modifier factors that control SI. These findings also enable the characterization, validation, and manipulation of SI-related factors for crop improvement, helping to address the challenges associated with development of inbred lines. Here, we review current knowledge about the evolution of SI systems, summarize key achievements in the molecular basis of pollen‒pistil interactions, discuss potential prospects for breeding of SI crops, and raise several unresolved questions that require further investigation.
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Affiliation(s)
- Diyang Zhang
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Yuan-Yuan Li
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xuewei Zhao
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, Fujian Agriculture and Forestry University, Fuzhou 350002, China; College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Cuili Zhang
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Ding-Kun Liu
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, Fujian Agriculture and Forestry University, Fuzhou 350002, China; College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Siren Lan
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
| | - Weilun Yin
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, Fujian Agriculture and Forestry University, Fuzhou 350002, China; College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
| | - Zhong-Jian Liu
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
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5
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Xiao Y, Xi Z, Wang F, Wang J. Genomic asymmetric epigenetic modification of transposable elements is involved in gene expression regulation of allopolyploid Brassica napus. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 117:226-241. [PMID: 37797206 DOI: 10.1111/tpj.16491] [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: 05/01/2023] [Revised: 09/20/2023] [Accepted: 09/25/2023] [Indexed: 10/07/2023]
Abstract
Polyploids are common and have a wide geographical distribution and environmental adaptability. Allopolyploidy may lead to the activation of transposable elements (TE). However, the mechanism of epigenetic modification of TEs in the establishment and evolution of allopolyploids remains to be explored. We focused on the TEs of model allopolyploid Brassica napus (An An Cn Cn ), exploring the TE characteristics of the genome, epigenetic modifications of TEs during allopolyploidization, and regulation of gene expression by TE methylation. In B. napus, approximately 50% of the genome was composed of TEs. TEs increased with proximity to genes, especially DNA transposons. TE methylation levels were negatively correlated with gene expression, and changes in TE methylation levels were able to regulate the expression of neighboring genes related to responses to light intensity and stress, which promoted powerful adaptation of allopolyploids to new environments. TEs can be synergistically regulated by RNA-directed DNA methylation pathways and histone modifications. The epigenetic modification levels of TEs tended to be similar to those of the diploid parents during the genome evolution of B. napus. The TEs of the An subgenome were more likely to be modified, and the imbalance in TE number and epigenetic modification level in the An and Cn subgenomes may lead to the establishment of subgenome dominance. Our study analyzed the characteristics of TE location, DNA methylation, siRNA, and histone modification in B. napus and highlighted the importance of TE epigenetic modifications during the allopolyploidy process, providing support for revealing the mechanism of allopolyploid formation and evolution.
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Affiliation(s)
- Yafang Xiao
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Zengde Xi
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Fei Wang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Jianbo Wang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
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6
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Edwards D, Batley J. Teatime for pangenomics. NATURE PLANTS 2023; 9:1944-1945. [PMID: 38012347 DOI: 10.1038/s41477-023-01566-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Affiliation(s)
- David Edwards
- Centre for Applied Bioinformatics and School of Biological Sciences, University of Western Australia, Perth, Western Australia, Australia.
| | - Jacqueline Batley
- Centre for Applied Bioinformatics and School of Biological Sciences, University of Western Australia, Perth, Western Australia, Australia.
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7
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Zhang X, Chen Y, Wang L, Yuan Y, Fang M, Shi L, Lu R, Comes HP, Ma Y, Chen Y, Huang G, Zhou Y, Zheng Z, Qiu Y. Pangenome of water caltrop reveals structural variations and asymmetric subgenome divergence after allopolyploidization. HORTICULTURE RESEARCH 2023; 10:uhad203. [PMID: 38046854 PMCID: PMC10689057 DOI: 10.1093/hr/uhad203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 10/01/2023] [Indexed: 12/05/2023]
Abstract
Water caltrop (Trapa spp., Lythraceae) is a traditional but currently underutilized non-cereal crop. Here, we generated chromosome-level genome assemblies for the two diploid progenitors of allotetraploid Trapa. natans (4x, AABB), i.e., diploid T. natans (2x, AA) and Trapa incisa (2x, BB). In conjunction with four published (sub)genomes of Trapa, we used gene-based and graph-based pangenomic approaches and a pangenomic transposable element (TE) library to develop Trapa genomic resources. The pangenome displayed substantial gene-content variation with dispensable and private gene clusters occupying a large proportion (51.95%) of the total cluster sets in the six (sub)genomes. Genotyping of presence-absence variation (PAVs) identified 40 453 PAVs associated with 2570 genes specific to A- or B-lineages, of which 1428 were differentially expressed, and were enriched in organ development process, organic substance metabolic process and response to stimulus. Comparative genome analyses showed that the allotetraploid T. natans underwent asymmetric subgenome divergence, with the B-subgenome being more dominant than the A-subgenome. Multiple factors, including PAVs, asymmetrical amplification of TEs, homeologous exchanges (HEs), and homeolog expression divergence, together affected genome evolution after polyploidization. Overall, this study sheds lights on the genome architecture and evolution of Trapa, and facilitates its functional genomic studies and breeding program.
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Affiliation(s)
- Xinyi Zhang
- Systematic and Evolutionary Botany and Biodiversity Laboratory, College of Life Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, Hubei, China
| | - Yang Chen
- Systematic and Evolutionary Botany and Biodiversity Laboratory, College of Life Sciences, Zhejiang University, Hangzhou, 310058, Zhejiang, China
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, Hubei, China
| | - Lingyun Wang
- Provincial Key Laboratory of Characteristic Aquatic Vegetable Breeding and Cultivation, Jinhua Academy of Agricultural Sciences (Zhejiang Institute of Agricultural Machinery), Jinhua, 321000, Zhejiang, China
| | - Ye Yuan
- Jiaxing Academy of Agricultural Sciences, Jiaxing, 314016, Zhejiang, China
| | - Mingya Fang
- Provincial Key Laboratory of Characteristic Aquatic Vegetable Breeding and Cultivation, Jinhua Academy of Agricultural Sciences (Zhejiang Institute of Agricultural Machinery), Jinhua, 321000, Zhejiang, China
| | - Lin Shi
- Provincial Key Laboratory of Characteristic Aquatic Vegetable Breeding and Cultivation, Jinhua Academy of Agricultural Sciences (Zhejiang Institute of Agricultural Machinery), Jinhua, 321000, Zhejiang, China
| | - Ruisen Lu
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, Jiangsu, China
| | - Hans Peter Comes
- Department of Environment & Biodiversity, Salzburg University, Salzburg, 5020, Austria
| | - Yazhen Ma
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, Hubei, China
| | - Yuanyuan Chen
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, Hubei, China
| | - Guizhou Huang
- State 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 518124, Guangdong, China
| | - Yongfeng Zhou
- State 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 518124, Guangdong, China
| | - Zhaisheng Zheng
- Provincial Key Laboratory of Characteristic Aquatic Vegetable Breeding and Cultivation, Jinhua Academy of Agricultural Sciences (Zhejiang Institute of Agricultural Machinery), Jinhua, 321000, Zhejiang, China
| | - Yingxiong Qiu
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, Hubei, China
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8
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Amas JC, Bayer PE, Hong Tan W, Tirnaz S, Thomas WJW, Edwards D, Batley J. Comparative pangenome analyses provide insights into the evolution of Brassica rapa resistance gene analogues (RGAs). PLANT BIOTECHNOLOGY JOURNAL 2023; 21:2100-2112. [PMID: 37431308 PMCID: PMC10502758 DOI: 10.1111/pbi.14116] [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: 02/22/2023] [Revised: 06/11/2023] [Accepted: 06/22/2023] [Indexed: 07/12/2023]
Abstract
Brassica rapa is grown worldwide as economically important vegetable and oilseed crop. However, its production is challenged by yield-limiting pathogens. The sustainable control of these pathogens mainly relies on the deployment of genetic resistance primarily driven by resistance gene analogues (RGAs). While several studies have identified RGAs in B. rapa, these were mainly based on a single genome reference and do not represent the full range of RGA diversity in B. rapa. In this study, we utilized the B. rapa pangenome, constructed from 71 lines encompassing 12 morphotypes, to describe a comprehensive repertoire of RGAs in B. rapa. We show that 309 RGAs were affected by presence-absence variation (PAV) and 223 RGAs were missing from the reference genome. The transmembrane leucine-rich repeat (TM-LRR) RGA class had more core gene types than variable genes, while the opposite was observed for nucleotide-binding site leucine-rich repeats (NLRs). Comparative analysis with the B. napus pangenome revealed significant RGA conservation (93%) between the two species. We identified 138 candidate RGAs located within known B. rapa disease resistance QTL, of which the majority were under negative selection. Using blackleg gene homologues, we demonstrated how these genes in B. napus were derived from B. rapa. This further clarifies the genetic relationship of these loci, which may be useful in narrowing-down candidate blackleg resistance genes. This study provides a novel genomic resource towards the identification of candidate genes for breeding disease resistance in B. rapa and its relatives.
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Affiliation(s)
- Junrey C. Amas
- School of Biological Sciences and the Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
| | - Philipp E. Bayer
- School of Biological Sciences and the Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
| | - Wei Hong Tan
- School of Biological Sciences and the Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
| | - Soodeh Tirnaz
- School of Biological Sciences and the Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
| | - William J. W. Thomas
- School of Biological Sciences and the Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
| | - David Edwards
- School of Biological Sciences and the Centre for Applied BioinformaticsThe University of Western AustraliaCrawleyWAAustralia
| | - Jacqueline Batley
- School of Biological Sciences and the Institute of AgricultureThe University of Western AustraliaCrawleyWAAustralia
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9
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Bird KA, Pires JC, VanBuren R, Xiong Z, Edger PP. Dosage-sensitivity shapes how genes transcriptionally respond to allopolyploidy and homoeologous exchange in resynthesized Brassica napus. Genetics 2023; 225:iyad114. [PMID: 37338008 PMCID: PMC10471226 DOI: 10.1093/genetics/iyad114] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 03/10/2023] [Accepted: 06/12/2023] [Indexed: 06/21/2023] Open
Abstract
The gene balance hypothesis proposes that selection acts on the dosage (i.e. copy number) of genes within dosage-sensitive portions of networks, pathways, and protein complexes to maintain balanced stoichiometry of interacting proteins, because perturbations to stoichiometric balance can result in reduced fitness. This selection has been called dosage balance selection. Dosage balance selection is also hypothesized to constrain expression responses to dosage changes, making dosage-sensitive genes (those encoding members of interacting proteins) experience more similar expression changes. In allopolyploids, where whole-genome duplication involves hybridization of diverged lineages, organisms often experience homoeologous exchanges that recombine, duplicate, and delete homoeologous regions of the genome and alter the expression of homoeologous gene pairs. Although the gene balance hypothesis makes predictions about the expression response to homoeologous exchanges, they have not been empirically tested. We used genomic and transcriptomic data from 6 resynthesized, isogenic Brassica napus lines over 10 generations to identify homoeologous exchanges, analyzed expression responses, and tested for patterns of genomic imbalance. Groups of dosage-sensitive genes had less variable expression responses to homoeologous exchanges than dosage-insensitive genes, a sign that their relative dosage is constrained. This difference was absent for homoeologous pairs whose expression was biased toward the B. napus A subgenome. Finally, the expression response to homoeologous exchanges was more variable than the response to whole-genome duplication, suggesting homoeologous exchanges create genomic imbalance. These findings expand our knowledge of the impact of dosage balance selection on genome evolution and potentially connect patterns in polyploid genomes over time, from homoeolog expression bias to duplicate gene retention.
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Affiliation(s)
- Kevin A Bird
- Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, USA
| | - J Chris Pires
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523, USA
| | - Robert VanBuren
- Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA
- Plant Resilience Institute, Michigan State University, East Lansing, MI 48824, USA
| | - Zhiyong Xiong
- Key Laboratory of Herbage and Endemic Crop Biotechnology, Inner Mongolia University, Hohhot, Inner Mongolia 010070, China
| | - Patrick P Edger
- Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA
- Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, USA
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10
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Qu C, Zhu M, Hu R, Niu Y, Chen S, Zhao H, Li C, Wang Z, Yin N, Sun F, Chen Z, Shen S, Shang G, Zhou Y, Yan X, Wei L, Liu L, Yi B, Lian J, Li J, Tang Z, Liang Y, Xu X, Wang R, Yin J, Wan H, Du H, Qian W, Chai Y, Zhou Q, He Y, Zhong S, Qiu X, Yu H, Lam HM, Lu K, Fu F, Li J. Comparative genomic analyses reveal the genetic basis of the yellow-seed trait in Brassica napus. Nat Commun 2023; 14:5194. [PMID: 37626056 PMCID: PMC10457299 DOI: 10.1038/s41467-023-40838-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 08/12/2023] [Indexed: 08/27/2023] Open
Abstract
Yellow-seed trait is a desirable breeding characteristic of rapeseed (Brassica napus) that could greatly improve seed oil yield and quality. However, the underlying mechanisms controlling this phenotype in B. napus plants are difficult to discern because of their complexity. Here, we assemble high-quality genomes of yellow-seeded (GH06) and black-seeded (ZY821). Combining in-depth fine mapping of a quantitative trait locus (QTL) for seed color with other omics data reveal BnA09MYB47a, encoding an R2R3-MYB-type transcription factor, as the causal gene of a major QTL controlling the yellow-seed trait. Functional studies show that sequence variation of BnA09MYB47a underlies the functional divergence between the yellow- and black-seeded B. napus. The black-seed allele BnA09MYB47aZY821, but not the yellow-seed allele BnA09MYB47aGH06, promotes flavonoid biosynthesis by directly activating the expression of BnTT18. Our discovery suggests a possible approach to breeding B. napus for improved commercial value and facilitates flavonoid biosynthesis studies in Brassica crops.
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Affiliation(s)
- Cunmin Qu
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Meichen Zhu
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Ran Hu
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Yongchao Niu
- The State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Si Chen
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Huiyan Zhao
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Chengxiang Li
- Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore, Singapore
| | - Zhen Wang
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Nengwen Yin
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Fujun Sun
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Zhiyou Chen
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Shulin Shen
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Guoxia Shang
- National Key Laboratory Breeding Base for Innovation and Utilization of Plateau Crop Germplasm, Academy of Agricultural and Forestry Sciences, Qinghai University, Xining, Qinghai, China
| | - Yan Zhou
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Xingying Yan
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Lijuan Wei
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Liezhao Liu
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Bin Yi
- National Key Laboratory of Crop Genetic Improvement, National Center of Rapeseed Improvement in Wuhan, Huazhong Agricultural University, Wuhan, China
| | | | - Jiang Li
- Biozeron Shenzhen, Inc, Shenzhen, China
| | - Zhanglin Tang
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Ying Liang
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Xinfu Xu
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Rui Wang
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Jiaming Yin
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Huafang Wan
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Hai Du
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Wei Qian
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Yourong Chai
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Qingyuan Zhou
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Yajun He
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, China
| | - Silin Zhong
- The State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Xiao Qiu
- Department of Food and Bioproduct Sciences, University of Saskatchewan, Saskatoon, Canada
| | - Hao Yu
- Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore, Singapore
- Temasek Life Sciences Laboratory, National University of Singapore, Singapore, Singapore
| | - Hon-Ming Lam
- The State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Kun Lu
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China.
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China.
- Academy of Agricultural Sciences, Southwest University, Chongqing, China.
| | - Fuyou Fu
- Agriculture and Agri-Food Canada, Saskatoon Research Centre, 107 Science Place, Saskatoon, Canada.
| | - Jiana Li
- Engineering Research Center of South Upland Agriculture, Ministry of Education, College of Agronomy and Biotechnology, Southwest University, Chongqing, China.
- Integrative Science Center of Germplasm Creation in Western China (CHONGQING) Science City and Southwest University, Chongqing, China.
- Academy of Agricultural Sciences, Southwest University, Chongqing, China.
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11
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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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12
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Deb SK, Edger PP, Pires JC, McKain MR. Patterns, mechanisms, and consequences of homoeologous exchange in allopolyploid angiosperms: a genomic and epigenomic perspective. THE NEW PHYTOLOGIST 2023; 238:2284-2304. [PMID: 37010081 DOI: 10.1111/nph.18927] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 03/16/2023] [Indexed: 05/19/2023]
Abstract
Allopolyploids result from hybridization between different evolutionary lineages coupled with genome doubling. Homoeologous chromosomes (chromosomes with common shared ancestry) may undergo recombination immediately after allopolyploid formation and continue over successive generations. The outcome of this meiotic pairing behavior is dynamic and complex. Homoeologous exchanges (HEs) may lead to the formation of unbalanced gametes, reduced fertility, and selective disadvantage. By contrast, HEs could act as sources of novel evolutionary substrates, shifting the relative dosage of parental gene copies, generating novel phenotypic diversity, and helping the establishment of neo-allopolyploids. However, HE patterns vary among lineages, across generations, and even within individual genomes and chromosomes. The causes and consequences of this variation are not fully understood, though interest in this evolutionary phenomenon has increased in the last decade. Recent technological advances show promise in uncovering the mechanistic basis of HEs. Here, we describe recent observations of the common patterns among allopolyploid angiosperm lineages, underlying genomic and epigenomic features, and consequences of HEs. We identify critical research gaps and discuss future directions with far-reaching implications in understanding allopolyploid evolution and applying them to the development of important phenotypic traits of polyploid crops.
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Affiliation(s)
- Sontosh K Deb
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, AL, 35487, USA
- Department of Forestry and Environmental Science, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh
| | - Patrick P Edger
- Department of Horticulture, Michigan State University, East Lansing, MI, 48823, USA
- Genetics and Genome Sciences Program, Michigan State University, East Lansing, MI, 48823, USA
| | - J Chris Pires
- Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Michael R McKain
- Department of Biological Sciences, The University of Alabama, Tuscaloosa, AL, 35487, USA
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13
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Dwivedi SL, Heslop-Harrison P, Spillane C, McKeown PC, Edwards D, Goldman I, Ortiz R. Evolutionary dynamics and adaptive benefits of deleterious mutations in crop gene pools. TRENDS IN PLANT SCIENCE 2023; 28:685-697. [PMID: 36764870 DOI: 10.1016/j.tplants.2023.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 12/03/2022] [Accepted: 01/18/2023] [Indexed: 05/13/2023]
Abstract
Mutations with deleterious consequences in nature may be conditionally deleterious in crop plants. That is, while some genetic variants may reduce fitness under wild conditions and be subject to purifying selection, they can be under positive selection in domesticates. Such deleterious alleles can be plant breeding targets, particularly for complex traits. The difficulty of distinguishing favorable from unfavorable variants reduces the power of selection, while favorable trait variation and heterosis may be attributable to deleterious alleles. Here, we review the roles of deleterious mutations in crop breeding and discuss how they can be used as a new avenue for crop improvement with emerging genomic tools, including HapMaps and pangenome analysis, aiding the identification, removal, or exploitation of deleterious mutations.
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Affiliation(s)
| | - Pat Heslop-Harrison
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China; Department of Genetics and Genome Biology, University of Leicester, Leicester, LE1 7RH, UK
| | - Charles Spillane
- Agriculture and Bioeconomy Research Centre, Ryan Institute, University of Galway, University Road, Galway, H91 REW4, Ireland
| | - Peter C McKeown
- Agriculture and Bioeconomy Research Centre, Ryan Institute, University of Galway, University Road, Galway, H91 REW4, Ireland
| | - David Edwards
- School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth, WA 6009, Australia
| | - Irwin Goldman
- Department of Horticulture, College of Agricultural and Life Sciences, University of Wisconsin Madison, WI 53706, USA
| | - Rodomiro Ortiz
- Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, SE 23053, Sweden.
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14
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Amas JC, Thomas WJW, Zhang Y, Edwards D, Batley J. Key Advances in the New Era of Genomics-Assisted Disease Resistance Improvement of Brassica Species. PHYTOPATHOLOGY 2023:PHYTO08220289FI. [PMID: 36324059 DOI: 10.1094/phyto-08-22-0289-fi] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Disease resistance improvement remains a major focus in breeding programs as diseases continue to devastate Brassica production systems due to intensive cultivation and climate change. Genomics has paved the way to understand the complex genomes of Brassicas, which has been pivotal in the dissection of the genetic underpinnings of agronomic traits driving the development of superior cultivars. The new era of genomics-assisted disease resistance breeding has been marked by the development of high-quality genome references, accelerating the identification of disease resistance genes controlling both qualitative (major) gene and quantitative resistance. This facilitates the development of molecular markers for marker assisted selection and enables genome editing approaches for targeted gene manipulation to enhance the genetic value of disease resistance traits. This review summarizes the key advances in the development of genomic resources for Brassica species, focusing on improved genome references, based on long-read sequencing technologies and pangenome assemblies. This is further supported by the advances in pathogen genomics, which have resulted in the discovery of pathogenicity factors, complementing the mining of disease resistance genes in the host. Recognizing the co-evolutionary arms race between the host and pathogen, it is critical to identify novel resistance genes using crop wild relatives and synthetic cultivars or through genetic manipulation via genome-editing to sustain the development of superior cultivars. Integrating these key advances with new breeding techniques and improved phenotyping using advanced data analysis platforms will make disease resistance improvement in Brassica species more efficient and responsive to current and future demands.
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Affiliation(s)
- Junrey C Amas
- School of Biological Sciences and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia 6001
| | - William J W Thomas
- School of Biological Sciences and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia 6001
| | - Yueqi Zhang
- School of Biological Sciences and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia 6001
| | - David Edwards
- School of Biological Sciences and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia 6001
| | - Jacqueline Batley
- School of Biological Sciences and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA, Australia 6001
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15
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Xu Y, Kong X, Guo Y, Wang R, Yao X, Chen X, Yan T, Wu D, Lu Y, Dong J, Zhu Y, Chen M, Cen H, Jiang L. Structural variations and environmental specificities of flowering time-related genes in Brassica napus. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:42. [PMID: 36897406 DOI: 10.1007/s00122-023-04326-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
We found that the flowering time order of accessions in a genetic population considerably varied across environments, and homolog copies of essential flowering time genes played different roles in different locations. Flowering time plays a critical role in determining the life cycle length, yield, and quality of a crop. However, the allelic polymorphism of flowering time-related genes (FTRGs) in Brassica napus, an important oil crop, remains unclear. Here, we provide high-resolution graphics of FTRGs in B. napus on a pangenome-wide scale based on single nucleotide polymorphism (SNP) and structural variation (SV) analyses. A total of 1337 FTRGs in B. napus were identified by aligning their coding sequences with Arabidopsis orthologs. Overall, 46.07% of FTRGs were core genes and 53.93% were variable genes. Moreover, 1.94%, 0.74%, and 4.49% FTRGs had significant presence-frequency differences (PFDs) between the spring and semi-winter, spring and winter, and winter and semi-winter ecotypes, respectively. SNPs and SVs across 1626 accessions of 39 FTRGs underlying numerous published qualitative trait loci were analyzed. Additionally, to identify FTRGs specific to an eco-condition, genome-wide association studies (GWASs) based on SNP, presence/absence variation (PAV), and SV were performed after growing and observing the flowering time order (FTO) of plants in a collection of 292 accessions at three locations in two successive years. It was discovered that the FTO of plants in a genetic population changed a lot across various environments, and homolog copies of some key FTRGs played different roles in different locations. This study revealed the molecular basis of the genotype-by-environment (G × E) effect on flowering and recommended a pool of candidate genes specific to locations for breeding selection.
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Affiliation(s)
- Ying Xu
- Institute of Crop Science, Zhejiang University, Hangzhou, 310058, China
| | - Xiangdong Kong
- Jiguang Gene Biotechnology Co., Ltd., Nanjing, 210000, China
| | - Yuan Guo
- College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Ruisen Wang
- Jiaxing Academy of Agricultural Sciences, Jiaxing, 31400, China
| | - Xiangtan Yao
- Jiaxing Academy of Agricultural Sciences, Jiaxing, 31400, China
| | - Xiaoyang Chen
- Jinhua Academy of Agricultural Sciences, Jinhua, 321017, China
| | - Tao Yan
- College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
| | - Dezhi Wu
- College of Agronomy, Hunan Agricultural University, Changsha, 410128, China
| | - Yunhai Lu
- Institute of Crop Science, Zhejiang University, Hangzhou, 310058, China
| | - Jie Dong
- Institute of Crop Science, Zhejiang University, Hangzhou, 310058, China
| | - Yang Zhu
- Institute of Crop Science, Zhejiang University, Hangzhou, 310058, China
| | - Mingxun Chen
- College of Agronomy, Northwest A&F University, Yangling, 712100, China
| | - Haiyan Cen
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
| | - Lixi Jiang
- Institute of Crop Science, Zhejiang University, Hangzhou, 310058, China.
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Abstract
Over the past decade, advances in plant genotyping have been critical in enabling the identification of genetic diversity, in understanding evolution, and in dissecting important traits in both crops and native plants. The widespread popularity of single-nucleotide polymorphisms (SNPs) has prompted significant improvements to SNP-based genotyping, including SNP arrays, genotyping by sequencing, and whole-genome resequencing. More recent approaches, including genotyping structural variants, utilizing pangenomes to capture species-wide genetic diversity and exploiting machine learning to analyze genotypic data sets, are pushing the boundaries of what plant genotyping can offer. In this chapter, we highlight these innovations and discuss how they will accelerate and advance future genotyping efforts.
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Tirnaz S, Zandberg J, Thomas WJW, Marsh J, Edwards D, Batley J. Application of crop wild relatives in modern breeding: An overview of resources, experimental and computational methodologies. FRONTIERS IN PLANT SCIENCE 2022; 13:1008904. [PMID: 36466237 PMCID: PMC9712971 DOI: 10.3389/fpls.2022.1008904] [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: 08/01/2022] [Accepted: 10/25/2022] [Indexed: 06/01/2023]
Abstract
Global agricultural industries are under pressure to meet the future food demand; however, the existing crop genetic diversity might not be sufficient to meet this expectation. Advances in genome sequencing technologies and availability of reference genomes for over 300 plant species reveals the hidden genetic diversity in crop wild relatives (CWRs), which could have significant impacts in crop improvement. There are many ex-situ and in-situ resources around the world holding rare and valuable wild species, of which many carry agronomically important traits and it is crucial for users to be aware of their availability. Here we aim to explore the available ex-/in- situ resources such as genebanks, botanical gardens, national parks, conservation hotspots and inventories holding CWR accessions. In addition we highlight the advances in availability and use of CWR genomic resources, such as their contribution in pangenome construction and introducing novel genes into crops. We also discuss the potential and challenges of modern breeding experimental approaches (e.g. de novo domestication, genome editing and speed breeding) used in CWRs and the use of computational (e.g. machine learning) approaches that could speed up utilization of CWR species in breeding programs towards crop adaptability and yield improvement.
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Jha UC, Nayyar H, von Wettberg EJB, Naik YD, Thudi M, Siddique KHM. Legume Pangenome: Status and Scope for Crop Improvement. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11223041. [PMID: 36432770 PMCID: PMC9696634 DOI: 10.3390/plants11223041] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 10/25/2022] [Accepted: 11/04/2022] [Indexed: 05/31/2023]
Abstract
In the last decade, legume genomics research has seen a paradigm shift due to advances in genome sequencing technologies, assembly algorithms, and computational genomics that enabled the construction of high-quality reference genome assemblies of major legume crops. These advances have certainly facilitated the identification of novel genetic variants underlying the traits of agronomic importance in many legume crops. Furthermore, these robust sequencing technologies have allowed us to study structural variations across the whole genome in multiple individuals and at the species level using 'pangenome analysis.' This review updates the progress of constructing pangenome assemblies for various legume crops and discusses the prospects for these pangenomes and how to harness the information to improve various traits of economic importance through molecular breeding to increase genetic gain in legumes and tackle the increasing global food crisis.
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Affiliation(s)
- Uday Chand Jha
- Indian Institute of Pulses Research, Kanpur 208024, India
| | - Harsh Nayyar
- Department of Botany, Panjab University, Chandigarh 160014, India
| | - Eric J. B. von Wettberg
- Department and Plant and Soil Science, Gund Institute for the Environment, The University of Vermont, Burlington, VT 05405, USA
| | - Yogesh Dashrath Naik
- Department of Agricultural Biotechnology and Molecular Biology, Dr. Rajendra Prasad Central Agricultural University, Pusa 848125, India
| | - Mahendar Thudi
- Department of Agricultural Biotechnology and Molecular Biology, Dr. Rajendra Prasad Central Agricultural University, Pusa 848125, India
- Shandong Academy of Agricultural Sciences, Jinan 250100, China
- Department of Agricultural Biotechnology and Molecular Biology, University of Southern Queensland, Toowoomba, QLD 4350, Australia
| | - Kadambot H. M. Siddique
- The UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6001, Australia
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19
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Cantila AY, Thomas WJW, Bayer PE, Edwards D, Batley J. Predicting Cloned Disease Resistance Gene Homologs (CDRHs) in Radish, Underutilised Oilseeds, and Wild Brassicaceae Species. PLANTS (BASEL, SWITZERLAND) 2022; 11:3010. [PMID: 36432742 PMCID: PMC9693284 DOI: 10.3390/plants11223010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Brassicaceae crops, including Brassica, Camelina and Raphanus species, are among the most economically important crops globally; however, their production is affected by several diseases. To predict cloned disease resistance (R) gene homologs (CDRHs), we used the protein sequences of 49 cloned R genes against fungal and bacterial diseases in Brassicaceae species. In this study, using 20 Brassicaceae genomes (17 wild and 3 domesticated species), 3172 resistance gene analogs (RGAs) (2062 nucleotide binding-site leucine-rich repeats (NLRs), 497 receptor-like protein kinases (RLKs) and 613 receptor-like proteins (RLPs)) were identified. CDRH clusters were also observed in Arabis alpina, Camelina sativa and Cardamine hirsuta with assigned chromosomes, consisting of 62 homogeneous (38 NLR, 17 RLK and 7 RLP clusters) and 10 heterogeneous RGA clusters. This study highlights the prevalence of CDRHs in the wild relatives of the Brassicaceae family, which may lay the foundation for rapid identification of functional genes and genomics-assisted breeding to develop improved disease-resistant Brassicaceae crop cultivars.
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20
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Graph Pangenomes Track Genetic Variants for Crop Improvement. Int J Mol Sci 2022; 23:ijms232113420. [DOI: 10.3390/ijms232113420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/28/2022] [Accepted: 10/29/2022] [Indexed: 11/06/2022] Open
Abstract
Global climate change and the urgency to transform crops require an exhaustive genetic evaluation. The large polyploid genomes of food crops, such as cereals, make it difficult to identify candidate genes with confirmed hereditary. Although genome-wide association studies (GWAS) have been proficient in identifying genetic variants that are associated with complex traits, the resolution of acquired heritability faces several significant bottlenecks such as incomplete detection of structural variants (SV), genetic heterogeneity, and/or locus heterogeneity. Consequently, a biased estimate is generated with respect to agronomically complex traits. The graph pangenomes have resolved this missing heritability and provide significant details in terms of specific loci segregating among individuals and evolving to variations. The graph pangenome approach facilitates crop improvements through genome-linked fast breeding.
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Yu T, Ma X, Liu Z, Feng X, Wang Z, Ren J, Cao R, Zhang Y, Nie F, Song X. TVIR: a comprehensive vegetable information resource database for comparative and functional genomic studies. HORTICULTURE RESEARCH 2022; 9:uhac213. [PMID: 36483087 PMCID: PMC9719039 DOI: 10.1093/hr/uhac213] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/14/2022] [Indexed: 06/17/2023]
Abstract
Vegetables are an indispensable part of the daily diet of humans. Therefore, it is vital to systematically study the genomic data of vegetables and build a platform for data sharing and analysis. In this study, a comprehensive platform for vegetables with a user-friendly Web interface-The Vegetable Information Resource (TVIR, http://tvir.bio2db.com)-was built based on the genomes of 59 vegetables. TVIR database contains numerous important functional genes, including 5215 auxin genes, 2437 anthocyanin genes, 15 002 flowering genes, 79 830 resistance genes, and 2639 glucosinolate genes of 59 vegetables. In addition, 2597 N6-methyladenosine (m6A) genes were identified, including 513 writers, 1058 erasers, and 1026 readers. A total of 2 101 501 specific clustered regularly interspaced short palindromic repeat (CRISPR) guide sequences and 17 377 miRNAs were detected and deposited in TVIR database. Information on gene synteny, duplication, and orthologs is also provided for 59 vegetable species. TVIR database contains 2 346 850 gene annotations by the Swiss-Prot, TrEMBL, Gene Ontology (GO), Pfam, and Non-redundant (Nr) databases. Synteny, Primer Design, Blast, and JBrowse tools are provided to facilitate users in conducting comparative genomic analyses. This is the first large-scale collection of vegetable genomic data and bioinformatic analysis. All genome and gene sequences, annotations, and bioinformatic results can be easily downloaded from TVIR. Furthermore, transcriptome data of 98 vegetables have been collected and collated, and can be searched by species, tissues, or different growth stages. TVIR is expected to become a key hub for vegetable research globally. The database will be updated with newly assembled vegetable genomes and comparative genomic studies in the future.
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Affiliation(s)
| | | | | | | | - Zhiyuan Wang
- School of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Jun Ren
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Rui Cao
- School of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Yingchao Zhang
- School of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Fulei Nie
- School of Life Sciences/Library, North China University of Science and Technology, Tangshan, Hebei 063210, China
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22
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Bayer PE, Petereit J, Durant É, Monat C, Rouard M, Hu H, Chapman B, Li C, Cheng S, Batley J, Edwards D. Wheat Panache: A pangenome graph database representing presence-absence variation across sixteen bread wheat genomes. THE PLANT GENOME 2022; 15:e20221. [PMID: 35644986 DOI: 10.1002/tpg2.20221] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/11/2022] [Indexed: 06/15/2023]
Abstract
Bread wheat (Triticum aestivum L.) is one of humanity's most important staple crops, characterized by a large and complex genome with a high level of gene presence-absence variation (PAV) between cultivars, hampering genomic approaches for crop improvement. With the growing global population and the increasing impact of climate change on crop yield, there is an urgent need to apply genomic approaches to accelerate wheat breeding. With recent advances in DNA sequencing technology, a growing number of high-quality reference genomes are becoming available, reflecting the genetic content of a diverse range of cultivars. However, information on the presence or absence of genomic regions has been hard to visualize and interrogate because of the size of these genomes and the lack of suitable bioinformatics tools. To address this limitation, we have produced a wheat pangenome graph maintained within an online database to facilitate interrogation and comparison of wheat cultivar genomes. The database allows users to visualize regions of the pangenome to assess PAV between bread wheat genomes.
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Affiliation(s)
- Philipp E Bayer
- School of Biological Sciences, The Univ. of Western Australia, Perth, 6009, Australia
| | - Jakob Petereit
- School of Biological Sciences, The Univ. of Western Australia, Perth, 6009, Australia
| | - Éloi Durant
- DIADE, Univ. of Montpellier, CIRAD, IRD, Montpellier, 34830, France
- Syngenta Seeds S.A.S., 12 chemin de l'Hobit, Saint-Sauveur, 31790, France
- Bioversity International, Parc Scientifique Agropolis II, Montpellier, 34397, France
- French Institute of Bioinformatics (IFB)-South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, Montpellier, 34398, France
| | - Cécile Monat
- Syngenta Seeds S.A.S., 12 chemin de l'Hobit, Saint-Sauveur, 31790, France
| | - Mathieu Rouard
- Bioversity International, Parc Scientifique Agropolis II, Montpellier, 34397, France
- French Institute of Bioinformatics (IFB)-South Green Bioinformatics Platform, Bioversity, CIRAD, INRAE, IRD, Montpellier, 34398, France
| | - Haifei Hu
- Western Crop Genetics Alliance, Murdoch Univ., 90 South Street, Murdoch, 6150, Australia
| | - Brett Chapman
- Western Crop Genetics Alliance, Murdoch Univ., 90 South Street, Murdoch, 6150, Australia
| | - Chengdao Li
- Western Crop Genetics Alliance, Murdoch Univ., 90 South Street, Murdoch, 6150, Australia
| | - Shifeng Cheng
- 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, 518120, China
| | - Jacqueline Batley
- School of Biological Sciences, The Univ. of Western Australia, Perth, 6009, Australia
| | - David Edwards
- School of Biological Sciences, The Univ. of Western Australia, Perth, 6009, Australia
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23
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Liu Z, Li N, Yu T, Wang Z, Wang J, Ren J, He J, Huang Y, Shi K, Yang Q, Wu T, Lin H, Song X. The Brassicaceae genome resource (TBGR): A comprehensive genome platform for Brassicaceae plants. PLANT PHYSIOLOGY 2022; 190:226-237. [PMID: 35670735 PMCID: PMC9434321 DOI: 10.1093/plphys/kiac266] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 05/03/2022] [Indexed: 06/09/2023]
Abstract
The Brassicaceae is an important plant family. We built a user-friendly, web-based, comparative, and functional genomic database, The Brassicaceae Genome Resource (TBGR, http://www.tbgr.org.cn), based on 82 released genomes from 27 Brassicaceae species. The TBGR database contains a large number of important functional genes, including 4,096 glucosinolate genes, 6,625 auxin genes, 13,805 flowering genes, 36,632 resistance genes, 1,939 anthocyanin genes, and 1,231 m6A genes. A total of 1,174,049 specific guide sequences for clustered regularly interspaced short palindromic repeats and 5,856,479 transposable elements were detected in Brassicaceae. TBGR also provides information on synteny, duplication, and orthologs for 27 Brassicaceae species. The TBGR database contains 1,183,851 gene annotations obtained using the TrEMBL, Swiss-Prot, Nr, GO, and Pfam databases. The BLAST, Synteny, Primer Design, Seq_fetch, and JBrowse tools are provided to help users perform comparative genomic analyses. All the genome assemblies, gene models, annotations, and bioinformatics results can be easily downloaded from the TBGR database. We plan to improve and continuously update the database with newly assembled genomes and comparative genomic studies. We expect the TBGR database to become a key resource for the study of the Brassicaceae.
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Affiliation(s)
- Zhuo Liu
- School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Nan Li
- School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Tong Yu
- School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Zhiyuan Wang
- School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Jiaqi Wang
- School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Jun Ren
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jinghua He
- School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Yini Huang
- School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Keqian Shi
- School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Qihang Yang
- School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Tong Wu
- School of Life Sciences, North China University of Science and Technology, Tangshan, Hebei 063210, China
| | - Hao Lin
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
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Cauret CMS, Mortimer SME, Roberti MC, Ashman TL, Liston A. Chromosome-scale assembly with a phased sex-determining region resolves features of early Z and W chromosome differentiation in a wild octoploid strawberry. G3 (BETHESDA, MD.) 2022; 12:6603112. [PMID: 35666193 PMCID: PMC9339316 DOI: 10.1093/g3journal/jkac139] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/19/2022] [Indexed: 01/07/2023]
Abstract
When sex chromosomes stop recombining, they start to accumulate differences. The sex-limited chromosome (Y or W) especially is expected to degenerate via the loss of nucleotide sequence and the accumulation of repetitive sequences. However, how early signs of degeneration can be detected in a new sex chromosome is still unclear. The sex-determining region of the octoploid strawberries is young, small, and dynamic. Using PacBio HiFi reads, we obtained a chromosome-scale assembly of a female (ZW) Fragaria chiloensis plant carrying the youngest and largest of the known sex-determining region on the W in strawberries. We fully characterized the previously incomplete sex-determining region, confirming its gene content, genomic location, and evolutionary history. Resolution of gaps in the previous characterization of the sex-determining region added 10 kb of sequence including a noncanonical long terminal repeat-retrotransposon; whereas the Z sequence revealed a Harbinger transposable element adjoining the sex-determining region insertion site. Limited genetic differentiation of the sex chromosomes coupled with structural variation may indicate an early stage of W degeneration. The sex chromosomes have a similar percentage of repeats but differ in their repeat distribution. Differences in the pattern of repeats (transposable element polymorphism) apparently precede sex chromosome differentiation, thus potentially contributing to recombination cessation as opposed to being a consequence of it.
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Affiliation(s)
- Caroline M S Cauret
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Sebastian M E Mortimer
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Marcelina C Roberti
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
| | - Tia-Lynn Ashman
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Aaron Liston
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR 97331, USA
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25
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Pangenomics and Crop Genome Adaptation in a Changing Climate. PLANTS 2022; 11:plants11151949. [PMID: 35956427 PMCID: PMC9370458 DOI: 10.3390/plants11151949] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/18/2022] [Accepted: 07/19/2022] [Indexed: 12/15/2022]
Abstract
During crop domestication and breeding, wild plant species have been shaped into modern high-yield crops and adapted to the main agro-ecological regions. However, climate change will impact crop productivity in these regions, and agriculture needs to adapt to support future food production. On a global scale, crop wild relatives grow in more diverse environments than crop species, and so may host genes that could support the adaptation of crops to new and variable environments. Through identification of individuals with increased climate resilience we may gain a greater understanding of the genomic basis for this resilience and transfer this to crops. Pangenome analysis can help to identify the genes underlying stress responses in individuals harbouring untapped genomic diversity in crop wild relatives. The information gained from the analysis of these pangenomes can then be applied towards breeding climate resilience into existing crops or to re-domesticating crops, combining environmental adaptation traits with crop productivity.
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26
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Raman H, Raman R, Pirathiban R, McVittie B, Sharma N, Liu S, Qiu Y, Zhu A, Kilian A, Cullis B, Farquhar GD, Stuart‐Williams H, White R, Tabah D, Easton A, Zhang Y. Multienvironment QTL analysis delineates a major locus associated with homoeologous exchanges for water-use efficiency and seed yield in canola. PLANT, CELL & ENVIRONMENT 2022; 45:2019-2036. [PMID: 35445756 PMCID: PMC9325393 DOI: 10.1111/pce.14337] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 04/06/2022] [Indexed: 05/29/2023]
Abstract
Canola varieties exhibit variation in drought avoidance and drought escape traits, reflecting adaptation to water-deficit environments. Our understanding of underlying genes and their interaction across environments in improving crop productivity is limited. A doubled haploid population was analysed to identify quantitative trait loci (QTL) associated with water-use efficiency (WUE) related traits. High WUE in the vegetative phase was associated with low seed yield. Based on the resequenced parental genome data, we developed sequence-capture-based markers and validated their linkage with carbon isotope discrimination (Δ13 C) in an F2 population. RNA sequencing was performed to determine the expression of candidate genes underlying Δ13 C QTL. QTL contributing to main and QTL × environment interaction effects for Δ13 C and yield were identified. One multiple-trait QTL for Δ13 C, days to flower, plant height, and seed yield was identified on chromosome A09. Interestingly, this QTL region overlapped with a homoeologous exchange (HE) event, suggesting its association with the multiple traits. Transcriptome analysis revealed 121 significantly differentially expressed genes underlying Δ13 C QTL on A09 and C09, including in HE regions. Sorting out the negative relationship between vegetative WUE and seed yield is a priority. Genetic and genomic resources and knowledge so developed could improve canola WUE and yield.
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Affiliation(s)
- Harsh Raman
- NSW Department of Primary IndustriesWagga Wagga Agricultural InstituteWagga WaggaNew South WalesAustralia
| | - Rosy Raman
- NSW Department of Primary IndustriesWagga Wagga Agricultural InstituteWagga WaggaNew South WalesAustralia
| | - Ramethaa Pirathiban
- Centre for Biometrics and Data Science for Sustainable Primary Industries, National Institute for Applied Statistics Research AustraliaUniversity of WollongongWollongongNew South WalesAustralia
| | - Brett McVittie
- NSW Department of Primary IndustriesWagga Wagga Agricultural InstituteWagga WaggaNew South WalesAustralia
| | - Niharika Sharma
- NSW Department of Primary IndustriesOrange Agricultural InstituteOrangeNew South WalesAustralia
| | - Shengyi Liu
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRCOil Crops Research Institute, Chinese Academy of Agricultural SciencesWuhanHubeiChina
| | - Yu Qiu
- NSW Department of Primary IndustriesWagga Wagga Agricultural InstituteWagga WaggaNew South WalesAustralia
| | - Anyu Zhu
- Diversity Arrays Technology P/LUniversity of CanberraCanberraAustralian Capital TerritoryAustralia
| | - Andrzej Kilian
- Diversity Arrays Technology P/LUniversity of CanberraCanberraAustralian Capital TerritoryAustralia
| | - Brian Cullis
- Centre for Biometrics and Data Science for Sustainable Primary Industries, National Institute for Applied Statistics Research AustraliaUniversity of WollongongWollongongNew South WalesAustralia
| | - Graham D. Farquhar
- Research School of BiologyAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
| | - Hilary Stuart‐Williams
- Research School of BiologyAustralian National UniversityCanberraAustralian Capital TerritoryAustralia
| | | | - David Tabah
- Advanta Seeds Pty LtdToowoombaQueenslandAustralia
| | | | - Yuanyuan Zhang
- The Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRCOil Crops Research Institute, Chinese Academy of Agricultural SciencesWuhanHubeiChina
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28
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Evaluating Plant Gene Models Using Machine Learning. PLANTS 2022; 11:plants11121619. [PMID: 35736770 PMCID: PMC9230120 DOI: 10.3390/plants11121619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 06/12/2022] [Accepted: 06/17/2022] [Indexed: 11/28/2022]
Abstract
Gene models are regions of the genome that can be transcribed into RNA and translated to proteins, or belong to a class of non-coding RNA genes. The prediction of gene models is a complex process that can be unreliable, leading to false positive annotations. To help support the calling of confident conserved gene models and minimize false positives arising during gene model prediction we have developed Truegene, a machine learning approach to classify potential low confidence gene models using 14 gene and 41 protein-based characteristics. Amino acid and nucleotide sequence-based features were calculated for conserved (high confidence) and non-conserved (low confidence) annotated genes from the published Pisum sativum Cameor genome. These features were used to train eXtreme Gradient Boost (XGBoost) classifier models to predict whether a gene model is likely to be real. The optimized models demonstrated a prediction accuracy ranging from 87% to 90% and an F-1 score of 0.91–0.94. We used SHapley Additive exPlanations (SHAP) and feature importance plots to identify the features that contribute to the model predictions, and we show that protein and gene-based features can be used to build accurate models for gene prediction that have applications in supporting future gene annotation processes.
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29
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Garrett P, Becher H, Gussarova G, dePamphilis CW, Ness RW, Gopalakrishnan S, Twyford AD. Pervasive Phylogenomic Incongruence Underlies Evolutionary Relationships in Eyebrights ( Euphrasia, Orobanchaceae). FRONTIERS IN PLANT SCIENCE 2022; 13:869583. [PMID: 35720561 PMCID: PMC9197813 DOI: 10.3389/fpls.2022.869583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 04/19/2022] [Indexed: 06/15/2023]
Abstract
Disentangling the phylogenetic relationships of taxonomically complex plant groups is often mired by challenges associated with recent speciation, hybridization, complex mating systems, and polyploidy. Here, we perform a phylogenomic analysis of eyebrights (Euphrasia), a group renowned for taxonomic complexity, with the aim of documenting the extent of phylogenetic discordance at both deep and at shallow phylogenetic scales. We generate whole-genome sequencing data and integrate this with prior genomic data to perform a comprehensive analysis of nuclear genomic, nuclear ribosomal (nrDNA), and complete plastid genomes from 57 individuals representing 36 Euphrasia species. The species tree analysis of 3,454 conserved nuclear scaffolds (46 Mb) reveals that at shallow phylogenetic scales postglacial colonization of North Western Europe occurred in multiple waves from discrete source populations, with most species not being monophyletic, and instead combining genomic variants from across clades. At a deeper phylogenetic scale, the Euphrasia phylogeny is structured by geography and ploidy, and partially by taxonomy. Comparative analyses show Southern Hemisphere tetraploids include a distinct subgenome indicative of independent polyploidy events from Northern Hemisphere taxa. In contrast to the nuclear genome analyses, the plastid genome phylogeny reveals limited geographic structure, while the nrDNA phylogeny is informative of some geographic and taxonomic affinities but more thorough phylogenetic inference is impeded by the retention of ancestral polymorphisms in the polyploids. Overall our results reveal extensive phylogenetic discordance at both deeper and shallower nodes, with broad-scale geographic structure of genomic variation but a lack of definitive taxonomic signal. This suggests that Euphrasia species either have polytopic origins or are maintained by narrow genomic regions in the face of extensive homogenizing gene flow. Moreover, these results suggest genome skimming will not be an effective extended barcode to identify species in groups such as Euphrasia, or many other postglacial species groups.
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Affiliation(s)
- Phen Garrett
- GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Hannes Becher
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Galina Gussarova
- Natural History Museum, University of Oslo, Oslo, Norway
- Botany Department, Faculty of Biology and Soil Science, St Petersburg State University, St Petersburg, Russia
- Tromsø University Museum, University of Tromsø, Tromsø, Norway
| | - Claude W. dePamphilis
- Department of Biology and Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Rob W. Ness
- Department of Biology, University of Toronto Mississauga, Mississauga, ON, Canada
| | | | - Alex D. Twyford
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Royal Botanic Garden Edinburgh, Edinburgh, United Kingdom
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30
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Mining of Cloned Disease Resistance Gene Homologs (CDRHs) in Brassica Species and Arabidopsis thaliana. BIOLOGY 2022; 11:biology11060821. [PMID: 35741342 PMCID: PMC9220128 DOI: 10.3390/biology11060821] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 05/15/2022] [Accepted: 05/24/2022] [Indexed: 01/23/2023]
Abstract
Simple Summary Developing cultivars with resistance genes (R genes) is an effective strategy to support high yield and quality in Brassica crops. The availability of clone R gene and genomic sequences in Brassica species and Arabidopsis thaliana provide the opportunity to compare genomic regions and survey R genes across genomic databases. In this paper, we aim to identify genes related to cloned genes through sequence identity, providing a repertoire of species-wide related R genes in Brassica crops. The comprehensive list of candidate R genes can be used as a reference for functional analysis. Abstract Various diseases severely affect Brassica crops, leading to significant global yield losses and a reduction in crop quality. In this study, we used the complete protein sequences of 49 cloned resistance genes (R genes) that confer resistance to fungal and bacterial diseases known to impact species in the Brassicaceae family. Homology searches were carried out across Brassica napus, B. rapa, B. oleracea, B. nigra, B. juncea, B. carinata and Arabidopsis thaliana genomes. In total, 660 cloned disease R gene homologs (CDRHs) were identified across the seven species, including 431 resistance gene analogs (RGAs) (248 nucleotide binding site-leucine rich repeats (NLRs), 150 receptor-like protein kinases (RLKs) and 33 receptor-like proteins (RLPs)) and 229 non-RGAs. Based on the position and distribution of specific homologs in each of the species, we observed a total of 87 CDRH clusters composed of 36 NLR, 16 RLK and 3 RLP homogeneous clusters and 32 heterogeneous clusters. The CDRHs detected consistently across the seven species are candidates that can be investigated for broad-spectrum resistance, potentially providing resistance to multiple pathogens. The R genes identified in this study provide a novel resource for the future functional analysis and gene cloning of Brassicaceae R genes towards crop improvement.
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Cho A, Jang H, Baek S, Kim MJ, Yim B, Huh S, Kwon SH, Yu HJ, Mun JH. An improved Raphanus sativus cv. WK10039 genome localizes centromeres, uncovers variation of DNA methylation and resolves arrangement of the ancestral Brassica genome blocks in radish chromosomes. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:1731-1750. [PMID: 35249126 DOI: 10.1007/s00122-022-04066-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/17/2022] [Indexed: 06/14/2023]
Abstract
This study presents an improved genome of Raphanus sativus cv. WK10039 uncovering centromeres and differentially methylated regions of radish chromosomes. Comprehensive genome comparison of radish and diploid Brassica species of U's triangle reveals that R. sativus arose from the Brassica B genome lineage and is a sibling species of B. nigra. Radish (Raphanus sativus L.) is a key root vegetable crop closely related to the Brassica crop species of the family Brassicaceae. We reported a draft genome of R. sativus cv. WK10039 (Rs1.0), which had 54.6 Mb gaps. To study the radish genome and explore previously unknown regions, we generated an improved genome assembly (Rs2.0) by long-read sequencing and high-resolution genome-wide mapping of chromatin interactions. Rs2.0 was 434.9 Mb in size with 0.27 Mb gaps, and the N50 scaffold length was 37.3 Mb (40-fold larger assembly compared to Rs1.0). Approximately 38% of Rs2.0 was comprised of repetitive sequences, and 52,768 protein-coding genes and 4845 non-protein-coding genes were predicted and annotated. The improved contiguity and coverage of Rs2.0, along with the detection of highly methylated regions, enabled localization of centromeres where R. sativus-specific centromere-associated repeats, full-length OTA and CRM LTR-Gypsy retrotransposons, hAT-Ac, CMC-EnSpm and Helitron DNA transposons, and sequences highly homologous to B. nigra centromere-specific CENH3-associated CL sequences were enriched. Whole-genome bisulfite sequencing combined with mRNA sequencing identified differential epigenetic marks in the radish genome related to tissue development. Synteny comparison and genomic distance analysis of radish and three diploid Brassica species of U's triangle suggested that the radish genome arose from the Brassica B genome lineage through unique rearrangement of the triplicated ancestral Brassica genome after splitting of the Brassica A/C and B genomes.
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Affiliation(s)
- Ara Cho
- Department of Bioscience and Bioinformatics, Myongji University, Yongin, 17058, Korea
| | - Hoyeol Jang
- Department of Bioscience and Bioinformatics, Myongji University, Yongin, 17058, Korea
| | - Seunghoon Baek
- Department of Bioscience and Bioinformatics, Myongji University, Yongin, 17058, Korea
| | - Moon-Jin Kim
- Department of Bioscience and Bioinformatics, Myongji University, Yongin, 17058, Korea
| | - Bomi Yim
- Department of Medical and Biological Sciences, The Catholic University of Korea, Bucheon, 14662, Korea
| | - Sunmi Huh
- Department of Medical and Biological Sciences, The Catholic University of Korea, Bucheon, 14662, Korea
| | - Song-Hwa Kwon
- Department of Mathematics, The Catholic University of Korea, Bucheon, 14662, Korea
| | - Hee-Ju Yu
- Department of Medical and Biological Sciences, The Catholic University of Korea, Bucheon, 14662, Korea.
| | - Jeong-Hwan Mun
- Department of Bioscience and Bioinformatics, Myongji University, Yongin, 17058, Korea.
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Genetic and Genomic Resources for Soybean Breeding Research. PLANTS 2022; 11:plants11091181. [PMID: 35567182 PMCID: PMC9101001 DOI: 10.3390/plants11091181] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 04/21/2022] [Accepted: 04/22/2022] [Indexed: 11/17/2022]
Abstract
Soybean (Glycine max) is a legume species of significant economic and nutritional value. The yield of soybean continues to increase with the breeding of improved varieties, and this is likely to continue with the application of advanced genetic and genomic approaches for breeding. Genome technologies continue to advance rapidly, with an increasing number of high-quality genome assemblies becoming available. With accumulating data from marker arrays and whole-genome resequencing, studying variations between individuals and populations is becoming increasingly accessible. Furthermore, the recent development of soybean pangenomes has highlighted the significant structural variation between individuals, together with knowledge of what has been selected for or lost during domestication and breeding, information that can be applied for the breeding of improved cultivars. Because of this, resources such as genome assemblies, SNP datasets, pangenomes and associated databases are becoming increasingly important for research underlying soybean crop improvement.
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Edger PP. The power of chromosome-scale, haplotype-resolved genomes. MOLECULAR PLANT 2022; 15:393-395. [PMID: 35202865 DOI: 10.1016/j.molp.2022.02.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 02/16/2022] [Accepted: 02/16/2022] [Indexed: 06/14/2023]
Affiliation(s)
- Patrick P Edger
- Department of Horticulture, Michigan State University, East Lansing, MI 48824, USA; Genetics and Genome Sciences, Michigan State University, East Lansing, MI 48824, USA.
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Tay Fernandez CG, Nestor BJ, Danilevicz MF, Gill M, Petereit J, Bayer PE, Finnegan PM, Batley J, Edwards D. Pangenomes as a Resource to Accelerate Breeding of Under-Utilised Crop Species. Int J Mol Sci 2022; 23:2671. [PMID: 35269811 PMCID: PMC8910360 DOI: 10.3390/ijms23052671] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 02/21/2022] [Accepted: 02/21/2022] [Indexed: 02/01/2023] Open
Abstract
Pangenomes are a rich resource to examine the genomic variation observed within a species or genera, supporting population genetics studies, with applications for the improvement of crop traits. Major crop species such as maize (Zea mays), rice (Oryza sativa), Brassica (Brassica spp.), and soybean (Glycine max) have had pangenomes constructed and released, and this has led to the discovery of valuable genes associated with disease resistance and yield components. However, pangenome data are not available for many less prominent crop species that are currently under-utilised. Despite many under-utilised species being important food sources in regional populations, the scarcity of genomic data for these species hinders their improvement. Here, we assess several under-utilised crops and review the pangenome approaches that could be used to build resources for their improvement. Many of these under-utilised crops are cultivated in arid or semi-arid environments, suggesting that novel genes related to drought tolerance may be identified and used for introgression into related major crop species. In addition, we discuss how previously collected data could be used to enrich pangenome functional analysis in genome-wide association studies (GWAS) based on studies in major crops. Considering the technological advances in genome sequencing, pangenome references for under-utilised species are becoming more obtainable, offering the opportunity to identify novel genes related to agro-morphological traits in these species.
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Affiliation(s)
| | | | | | | | | | | | | | | | - David Edwards
- School of Biological Sciences, The University of Western Australia, Perth, WA 6009, Australia; (C.G.T.F.); (B.J.N.); (M.F.D.); (M.G.); (J.P.); (P.E.B.); (P.M.F.); (J.B.)
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