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Xie L, Gong X, Yang K, Huang Y, Zhang S, Shen L, Sun Y, Wu D, Ye C, Zhu QH, Fan L. Technology-enabled great leap in deciphering plant genomes. NATURE PLANTS 2024; 10:551-566. [PMID: 38509222 DOI: 10.1038/s41477-024-01655-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 02/20/2024] [Indexed: 03/22/2024]
Abstract
Plant genomes provide essential and vital basic resources for studying many aspects of plant biology and applications (for example, breeding). From 2000 to 2020, 1,144 genomes of 782 plant species were sequenced. In the past three years (2021-2023), 2,373 genomes of 1,031 plant species, including 793 newly sequenced species, have been assembled, representing a great leap. The 2,373 newly assembled genomes, of which 63 are telomere-to-telomere assemblies and 921 have been generated in pan-genome projects, cover the major phylogenetic clades. Substantial advances in read length, throughput, accuracy and cost-effectiveness have notably simplified the achievement of high-quality assemblies. Moreover, the development of multiple software tools using different algorithms offers the opportunity to generate more complete and complex assemblies. A database named N3: plants, genomes, technologies has been developed to accommodate the metadata associated with the 3,517 genomes that have been sequenced from 1,575 plant species since 2000. We also provide an outlook for emerging opportunities in plant genome sequencing.
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Affiliation(s)
- Lingjuan Xie
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
- Hainan Institute of Zhejiang University, Yazhou Bay, Shanya, China
| | - Xiaojiao Gong
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Kun Yang
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Yujie Huang
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Shiyu Zhang
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Leti Shen
- Hainan Institute of Zhejiang University, Yazhou Bay, Shanya, China
| | - Yanqing Sun
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Dongya Wu
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Chuyu Ye
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Qian-Hao Zhu
- CSIRO Agriculture and Food, Black Mountain Laboratories, Canberra, Australia
| | - Longjiang Fan
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China.
- Hainan Institute of Zhejiang University, Yazhou Bay, Shanya, China.
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2
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Nawaz MA, Khalil HK, Azeem F, Ali MA, Pamirsky IE, Golokhvast KS, Yang SH, Atif RM, Chung G. In Silico Comparison of WRKY Transcription Factors in Wild and Cultivated Soybean and Their Co-expression Network Arbitrating Disease Resistance. Biochem Genet 2024:10.1007/s10528-024-10701-z. [PMID: 38411942 DOI: 10.1007/s10528-024-10701-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 01/15/2024] [Indexed: 02/28/2024]
Abstract
WRKY Transcription factors (TFs) play critical roles in plant defence mechanisms that are activated in response to biotic and abiotic stresses. However, information on the Glycine soja WRKYs (GsoWRKYs) is scarce. Owing to its importance in soybean breeding, here we identified putative WRKY TFs in wild soybean, and compared the results with Glycine max WRKYs (GmaWRKYs) by phylogenetic, conserved motif, and duplication analyses. Moreover, we explored the expression trends of WRKYs in G. max (oomycete, fungi, virus, bacteria, and soybean cyst nematode) and G. soja (soybean cyst nematode), and identified commonly expressed WRKYs and their co-expressed genes. We identified, 181 and 180 putative WRKYs in G. max and G. soja, respectively. Though the number of WRKYs in both studied species is almost the same, they differ in many ways, i.e., the number of WRKYs on corresponding chromosomes, conserved domain structures, WRKYGQK motif variants, and zinc-finger motifs. WRKYs in both species grouped in three major clads, i.e., I-III, where group-II had sub-clads IIa-IIe. We found that GsoWRKYs expanded mostly through segmental duplication. A large number of WRKYs were expressed in response to biotic stresses, i.e., Phakospora pachyrhizi, Phytoplasma, Heterodera glycines, Macrophomina phaseolina, and Soybean mosaic virus; 56 GmaWRKYs were commonly expressed in soybean plants infected with these diseases. Finally, 30 and 63 GmaWRKYs and GsoWRKYs co-expressed with 205 and 123 non-WRKY genes, respectively, indicating that WRKYs play essential roles in biotic stress tolerance in Glycine species.
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Affiliation(s)
- Muhammad Amjad Nawaz
- Advanced Engineering School (Agrobiotek), Tomsk State University, Lenin Ave, 36, Tomsk Oblast, Russia, 634050.
- Center for Research in the Field of Materials and Technologies, Tomsk State University, Tomsk, Russia.
| | - Hafiz Kashif Khalil
- Department of Plant Breeding and Genetics / CAS-AFS, University of Agriculture, Faisalabad, Pakistan
| | - Farrukh Azeem
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad, Pakistan
| | - Muhammad Amjad Ali
- Department of Plant Pathology, University of Agriculture, Faisalabad, Pakistan
| | - Igor Eduardovich Pamirsky
- Siberian Federal Scientific Centre of AgrobiotechnologyCentralnaya, Presidium, Krasnoobsk, Russia, 633501
| | - Kirill S Golokhvast
- Advanced Engineering School (Agrobiotek), Tomsk State University, Lenin Ave, 36, Tomsk Oblast, Russia, 634050
- Siberian Federal Scientific Centre of AgrobiotechnologyCentralnaya, Presidium, Krasnoobsk, Russia, 633501
- Laboratory of Supercritical Fluid Research and Application in Agrobiotechnology, Tomsk State University, Lenin Str. 36, Tomsk, Russia, 634050
| | - Seung Hwan Yang
- Department of Biotechnology, Chonnam National University, Yeosu Campus, Yeosu-si, 59626, South Korea
| | - Rana Muhammad Atif
- Department of Plant Breeding and Genetics / CAS-AFS, University of Agriculture, Faisalabad, Pakistan.
- Precision Agriculture and Analytics Lab, National Centre in Big Data and Cloud Computing, Centre for Advanced Studies in Agriculture and Food Security, University of Agriculture Faisalabad, Faisalabad, Pakistan.
- Department of Plant Pathology, University of California, Davis, CA, USA.
| | - Gyuhwa Chung
- Department of Biotechnology, Chonnam National University, Yeosu Campus, Yeosu-si, 59626, South Korea.
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Yang Z, Luo C, Pei X, Wang S, Huang Y, Li J, Liu B, Kong F, Yang QY, Fang C. SoyMD: a platform combining multi-omics data with various tools for soybean research and breeding. Nucleic Acids Res 2024; 52:D1639-D1650. [PMID: 37811889 PMCID: PMC10767819 DOI: 10.1093/nar/gkad786] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/13/2023] [Accepted: 09/15/2023] [Indexed: 10/10/2023] Open
Abstract
Advanced multi-omics technologies offer much information that can uncover the regulatory mechanisms from genotype to phenotype. In soybean, numerous multi-omics databases have been published. Although they cover multiple omics, there are still limitations when it comes to the types and scales of omics datasets and analysis methods utilized. This study aims to address these limitations by collecting and integrating a comprehensive set of multi-omics datasets. This includes 38 genomes, transcriptomes from 435 tissue samples, 125 phenotypes from 6686 accessions, epigenome data involving histone modification, transcription factor binding, chromosomal accessibility and chromosomal interaction, as well as genetic variation data from 24 501 soybean accessions. Then, common analysis pipelines and statistical methods were applied to mine information from these multi-omics datasets, resulting in the successful establishment of a user-friendly multi-omics database called SoyMD (https://yanglab.hzau.edu.cn/SoyMD/#/). SoyMD provides researchers with efficient query options and analysis tools, allowing them to swiftly access relevant omics information and conduct comprehensive multi-omics data analyses. Another notable feature of SoyMD is its capability to facilitate the analysis of candidate genes, as demonstrated in the case study on seed oil content. This highlights the immense potential of SoyMD in soybean genetic breeding and functional genomics research.
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Affiliation(s)
- Zhiquan Yang
- Guangdong Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Chengfang Luo
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Xinxin Pei
- Guangdong Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Shengbo Wang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Yiming Huang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Jiawei Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
| | - Baohui Liu
- Guangdong Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Fanjiang Kong
- Guangdong Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
| | - Qing-Yong Yang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi 832000, China
| | - Chao Fang
- Guangdong Key Laboratory of Plant Adaptation and Molecular Design, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou 510405, China
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Liu J, Chen S, Liu M, Chen Y, Fan W, Lee S, Xiao H, Kudrna D, Li Z, Chen X, Peng Y, Tian K, Zhang B, Wing RA, Zhang J, Wang X. Full-Length Transcriptome Sequencing Reveals Alternative Splicing and lncRNA Regulation during Nodule Development in Glycine max. Int J Mol Sci 2022; 23:7371. [PMID: 35806374 PMCID: PMC9266934 DOI: 10.3390/ijms23137371] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 06/25/2022] [Accepted: 06/29/2022] [Indexed: 02/04/2023] Open
Abstract
Alternative splicing (AS) is a ubiquitous phenomenon among eukaryotic intron-containing genes, which greatly contributes to transcriptome and proteome diversity. Here we performed the isoform sequencing (Iso-Seq) of soybean underground tissues inoculated and uninoculated with Rhizobium and obtained 200,681 full-length transcripts covering 26,183 gene loci. It was found that 80.78% of the multi-exon loci produced more than one splicing variant. Comprehensive analysis of these identified 7874 differentially splicing events with highly diverse splicing patterns during nodule development, especially in defense and transport-related processes. We further profiled genes with differential isoform usage and revealed that 2008 multi-isoform loci underwent stage-specific or simultaneous major isoform switches after Rhizobium inoculation, indicating that AS is a vital way to regulate nodule development. Moreover, we took the lead in identifying 1563 high-confidence long non-coding RNAs (lncRNAs) in soybean, and 157 of them are differentially expressed during nodule development. Therefore, our study uncovers the landscape of AS during the soybean-Rhizobium interaction and provides systematic transcriptomic data for future study of multiple novel directions in soybean.
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Affiliation(s)
- Jing Liu
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (J.L.); (S.C.); (M.L.); (Y.C.); (W.F.); (Z.L.); (X.C.); (K.T.)
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China; (H.X.); (Y.P.); (B.Z.)
| | - Shengcai Chen
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (J.L.); (S.C.); (M.L.); (Y.C.); (W.F.); (Z.L.); (X.C.); (K.T.)
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China; (H.X.); (Y.P.); (B.Z.)
| | - Min Liu
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (J.L.); (S.C.); (M.L.); (Y.C.); (W.F.); (Z.L.); (X.C.); (K.T.)
| | - Yimian Chen
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (J.L.); (S.C.); (M.L.); (Y.C.); (W.F.); (Z.L.); (X.C.); (K.T.)
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China; (H.X.); (Y.P.); (B.Z.)
| | - Wei Fan
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (J.L.); (S.C.); (M.L.); (Y.C.); (W.F.); (Z.L.); (X.C.); (K.T.)
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China; (H.X.); (Y.P.); (B.Z.)
| | - Seunghee Lee
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA; (S.L.); (D.K.); (R.A.W.); (J.Z.)
| | - Han Xiao
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China; (H.X.); (Y.P.); (B.Z.)
| | - Dave Kudrna
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA; (S.L.); (D.K.); (R.A.W.); (J.Z.)
| | - Zixin Li
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (J.L.); (S.C.); (M.L.); (Y.C.); (W.F.); (Z.L.); (X.C.); (K.T.)
| | - Xu Chen
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (J.L.); (S.C.); (M.L.); (Y.C.); (W.F.); (Z.L.); (X.C.); (K.T.)
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China; (H.X.); (Y.P.); (B.Z.)
| | - Yaqi Peng
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China; (H.X.); (Y.P.); (B.Z.)
| | - Kewei Tian
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (J.L.); (S.C.); (M.L.); (Y.C.); (W.F.); (Z.L.); (X.C.); (K.T.)
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China; (H.X.); (Y.P.); (B.Z.)
| | - Bao Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China; (H.X.); (Y.P.); (B.Z.)
| | - Rod A. Wing
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA; (S.L.); (D.K.); (R.A.W.); (J.Z.)
| | - Jianwei Zhang
- Arizona Genomics Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA; (S.L.); (D.K.); (R.A.W.); (J.Z.)
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Xuelu Wang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng 475001, China; (H.X.); (Y.P.); (B.Z.)
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5
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Yi X, Liu J, Chen S, Wu H, Liu M, Xu Q, Lei L, Lee S, Zhang B, Kudrna D, Fan W, Wing RA, Wang X, Zhang M, Zhang J, Yang C, Chen N. Genome assembly of the JD17 soybean provides a new reference genome for comparative genomics. G3 (BETHESDA, MD.) 2022; 12:jkac017. [PMID: 35188189 PMCID: PMC8982393 DOI: 10.1093/g3journal/jkac017] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 01/11/2022] [Indexed: 12/30/2022]
Abstract
Cultivated soybean (Glycine max) is an important source for protein and oil. Many elite cultivars with different traits have been developed for different conditions. Each soybean strain has its own genetic diversity, and the availability of more high-quality soybean genomes can enhance comparative genomic analysis for identifying genetic underpinnings for its unique traits. In this study, we constructed a high-quality de novo assembly of an elite soybean cultivar Jidou 17 (JD17) with chromosome contiguity and high accuracy. We annotated 52,840 gene models and reconstructed 74,054 high-quality full-length transcripts. We performed a genome-wide comparative analysis based on the reference genome of JD17 with 3 published soybeans (WM82, ZH13, and W05), which identified 5 large inversions and 2 large translocations specific to JD17, 20,984-46,912 presence-absence variations spanning 13.1-46.9 Mb in size. A total of 1,695,741-3,664,629 SNPs and 446,689-800,489 Indels were identified and annotated between JD17 and them. Symbiotic nitrogen fixation genes were identified and the effects from these variants were further evaluated. It was found that the coding sequences of 9 nitrogen fixation-related genes were greatly affected. The high-quality genome assembly of JD17 can serve as a valuable reference for soybean functional genomics research.
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Affiliation(s)
- Xinxin Yi
- National Key Laboratory of Crop Genetic Improvement, Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Jing Liu
- National Key Laboratory of Crop Genetic Improvement, Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng 475004, Henan, China
| | - Shengcai Chen
- National Key Laboratory of Crop Genetic Improvement, Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng 475004, Henan, China
| | - Hao Wu
- National Key Laboratory of Crop Genetic Improvement, Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Min Liu
- National Key Laboratory of Crop Genetic Improvement, Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Qing Xu
- National Key Laboratory of Crop Genetic Improvement, Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Lingshan Lei
- National Key Laboratory of Crop Genetic Improvement, Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
| | - Seunghee Lee
- Arizona Genomics Institute and BIO5 Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Bao Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng 475004, Henan, China
| | - Dave Kudrna
- Arizona Genomics Institute and BIO5 Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Wei Fan
- National Key Laboratory of Crop Genetic Improvement, Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng 475004, Henan, China
| | - Rod A Wing
- Arizona Genomics Institute and BIO5 Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Xuelu Wang
- State Key Laboratory of Crop Stress Adaptation and Improvement, Henan University, Kaifeng 475004, Henan, China
| | - Mengchen Zhang
- Institute of Food and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050031, Hebei, China
| | - Jianwei Zhang
- National Key Laboratory of Crop Genetic Improvement, Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
- Arizona Genomics Institute and BIO5 Institute, School of Plant Sciences, University of Arizona, Tucson, AZ 85721, USA
| | - Chunyan Yang
- Institute of Food and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050031, Hebei, China
| | - Nansheng Chen
- National Key Laboratory of Crop Genetic Improvement, Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, Hubei, China
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
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6
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Bayer PE, Edwards D. Searching for Homologous Genes Using Daisychain. Methods Mol Biol 2022; 2512:95-101. [PMID: 35818002 DOI: 10.1007/978-1-0716-2429-6_7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Genome assemblies have become a standard tool of genomics research and are relatively inexpensive to produce due to falling sequencing costs. For many species, there are now several reference-grade genome assemblies. However, comparing different assemblies or the same or related individuals is not an easy task, especially with different levels of quality of assembly and annotation. Tools are needed to visualise related genes with different IDs across genome assemblies. Here, we present a workflow to search and visualise related genes using Daisychain, a web-based tool aimed at researchers who wish to compare genes between assemblies.
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Affiliation(s)
- Philipp E Bayer
- Applied Bioinformatics Group, School of Biological Sciences, The University of Western Australia, Perth, WA, Australia
| | - David Edwards
- Applied Bioinformatics Group, School of Biological Sciences, The University of Western Australia, Perth, WA, Australia.
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7
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Rubiales D, Annicchiarico P, Vaz Patto MC, Julier B. Legume Breeding for the Agroecological Transition of Global Agri-Food Systems: A European Perspective. FRONTIERS IN PLANT SCIENCE 2021; 12:782574. [PMID: 34868184 PMCID: PMC8637196 DOI: 10.3389/fpls.2021.782574] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 10/18/2021] [Indexed: 06/13/2023]
Abstract
Wider and more profitable legume crop cultivation is an indispensable step for the agroecological transition of global agri-food systems but represents a challenge especially in Europe. Plant breeding is pivotal in this context. Research areas of key interest are represented by innovative phenotypic and genome-based selection procedures for crop yield, tolerance to abiotic and biotic stresses enhanced by the changing climate, intercropping, and emerging crop quality traits. We see outmost priority in the exploration of genomic selection (GS) opportunities and limitations, to ease genetic gains and to limit the costs of multi-trait selection. Reducing the profitability gap of legumes relative to major cereals will not be possible in Europe without public funding devoted to crop improvement research, pre-breeding, and, in various circumstances, public breeding. While most of these activities may profit of significant public-private partnerships, all of them can provide substantial benefits to seed companies. A favorable institutional context may comprise some changes to variety registration tests and procedures.
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Affiliation(s)
- Diego Rubiales
- Institute for Sustainable Agriculture, CSIC, Córdoba, Spain
| | | | | | - Bernadette Julier
- Institut National de Recherche Pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), URP3F, Lusignan, France
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8
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Wang W, Chen L, Fengler K, Bolar J, Llaca V, Wang X, Clark CB, Fleury TJ, Myrvold J, Oneal D, van Dyk MM, Hudson A, Munkvold J, Baumgarten A, Thompson J, Cai G, Crasta O, Aggarwal R, Ma J. A giant NLR gene confers broad-spectrum resistance to Phytophthora sojae in soybean. Nat Commun 2021; 12:6263. [PMID: 34741017 PMCID: PMC8571336 DOI: 10.1038/s41467-021-26554-8] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 10/06/2021] [Indexed: 11/29/2022] Open
Abstract
Phytophthora root and stem rot caused by P. sojae is a destructive soybean soil-borne disease found worldwide. Discovery of genes conferring broad-spectrum resistance to the pathogen is a need to prevent the outbreak of the disease. Here, we show that soybean Rps11 is a 27.7-kb nucleotide-binding site-leucine-rich repeat (NBS-LRR or NLR) gene conferring broad-spectrum resistance to the pathogen. Rps11 is located in a genomic region harboring a cluster of large NLR genes of a single origin in soybean, and is derived from rounds of unequal recombination. Such events result in promoter fusion and LRR expansion that may contribute to the broad resistance spectrum. The NLR gene cluster exhibits drastic structural diversification among phylogenetically representative varieties, including gene copy number variation ranging from five to 23 copies, and absence of allelic copies of Rps11 in any of the non-Rps11-donor varieties examined, exemplifying innovative evolution of NLR genes and NLR gene clusters.
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Affiliation(s)
- Weidong Wang
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
| | - Liyang Chen
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
| | - Kevin Fengler
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA
| | - Joy Bolar
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA
| | - Victor Llaca
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA
| | - Xutong Wang
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
| | - Chancelor B Clark
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA
| | - Tomara J Fleury
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, 47907, USA
- Crop Production and Pest Control Research Unit, USDA, ARS, West Lafayette, IN, 47907, USA
| | - Jon Myrvold
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA
| | - David Oneal
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA
| | | | - Ashley Hudson
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA
| | - Jesse Munkvold
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA
| | - Andy Baumgarten
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA
| | - Jeff Thompson
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA
| | - Guohong Cai
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, 47907, USA
- Crop Production and Pest Control Research Unit, USDA, ARS, West Lafayette, IN, 47907, USA
| | - Oswald Crasta
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA
- R&D, Equinom, Inc., Indianapolis, IN, 46268, USA
| | - Rajat Aggarwal
- Research and Development, Corteva Agriscience™, Johnston, IA, 50131, USA.
| | - Jianxin Ma
- Department of Agronomy, Purdue University, West Lafayette, IN, 47907, USA.
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