1
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Schreiber M, Jayakodi M, Stein N, Mascher M. Plant pangenomes for crop improvement, biodiversity and evolution. Nat Rev Genet 2024; 25:563-577. [PMID: 38378816 DOI: 10.1038/s41576-024-00691-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/14/2023] [Indexed: 02/22/2024]
Abstract
Plant genome sequences catalogue genes and the genetic elements that regulate their expression. Such inventories further research aims as diverse as mapping the molecular basis of trait diversity in domesticated plants or inquiries into the origin of evolutionary innovations in flowering plants millions of years ago. The transformative technological progress of DNA sequencing in the past two decades has enabled researchers to sequence ever more genomes with greater ease. Pangenomes - complete sequences of multiple individuals of a species or higher taxonomic unit - have now entered the geneticists' toolkit. The genomes of crop plants and their wild relatives are being studied with translational applications in breeding in mind. But pangenomes are applicable also in ecological and evolutionary studies, as they help classify and monitor biodiversity across the tree of life, deepen our understanding of how plant species diverged and show how plants adapt to changing environments or new selection pressures exerted by human beings.
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Affiliation(s)
- Mona Schreiber
- Department of Biology, University of Marburg, Marburg, Germany
| | - Murukarthick Jayakodi
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany
- Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Seeland, Germany.
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
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2
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Reyes-Herrera PH, Delgadillo-Duran DA, Flores-Gonzalez M, Mueller LA, Cristancho MA, Barrero LS. Chromosome-scale genome assembly and annotation of the tetraploid potato cultivar Diacol Capiro adapted to the Andean region. G3 (BETHESDA, MD.) 2024:jkae139. [PMID: 39058924 DOI: 10.1093/g3journal/jkae139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 06/05/2024] [Indexed: 07/28/2024]
Abstract
Potato (Solanum tuberosum) is an essential crop for food security and is ranked as the third most important crop worldwide for human consumption. The Diacol Capiro cultivar holds the dominant position in Colombian cultivation, primarily catering to the food processing industry. This highly heterozygous, autotetraploid cultivar belongs to the Andigenum group and it stands out for its adaptation to a wide variety of environments spanning altitudes from 1,800 to 3,200 meters above sea level. Here, a chromosome-scale assembly, referred to as DC, is presented for this cultivar. The assembly was generated by combining circular consensus sequencing with proximity ligation Hi-C for the scaffolding and represents 2.369 Gb with 48 pseudochromosomes covering 2,091 Gb and an anchor rate of 88.26%. The reference genome metrics, including an N50 of 50.5 Mb, a BUSCO (Benchmarking Universal Single-Copy Orthologue) score of 99.38%, and an Long Terminal Repeat Assembly Index score of 13.53, collectively signal the achieved high assembly quality. A comprehensive annotation yielded a total of 154,114 genes, and the associated BUSCO score of 95.78% for the annotated sequences attests to their completeness. The number of predicted NLR (Nucleotide-Binding and Leucine-Rich-Repeat genes) was 2107 with a large representation of NBARC (for nucleotide binding domain shared by Apaf-1, certain R gene products, and CED-4) containing domains (99.85%). Further comparative analysis of the proposed annotation-based assembly with high-quality known potato genomes, showed a similar genome metrics with differences in total gene numbers related to the ploidy status. The genome assembly and annotation of DC presented in this study represent a valuable asset for comprehending potato genetics. This resource aids in targeted breeding initiatives and contributes to the creation of enhanced, resilient, and more productive potato varieties, particularly beneficial for countries in Latin America.
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Affiliation(s)
- Paula H Reyes-Herrera
- Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), Bogotá, Cundinamarca 250047, Colombia
| | - Diego A Delgadillo-Duran
- Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), Bogotá, Cundinamarca 250047, Colombia
| | | | | | - Marco A Cristancho
- Vicerrectoría de Investigación y Creación, Universidad de los Andes, Bogotá 111711, Colombia
| | - Luz Stella Barrero
- Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), Bogotá, Cundinamarca 250047, Colombia
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3
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Goel M, Campoy JA, Krause K, Baus LC, Sahu A, Sun H, Walkemeier B, Marek M, Beaudry R, Ruiz D, Huettel B, Schneeberger K. The vast majority of somatic mutations in plants are layer-specific. Genome Biol 2024; 25:194. [PMID: 39049052 PMCID: PMC11267851 DOI: 10.1186/s13059-024-03337-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 07/15/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND Plant meristems are structured organs consisting of distinct layers of stem cells, which differentiate into new plant tissue. Mutations in meristematic layers can propagate into large sectors of the plant. However, the characteristics of meristematic mutations remain unclear, limiting our understanding of the genetic basis of somaclonal phenotypic variation. RESULTS Here, we analyse the frequency and distribution of somatic mutations in an apricot tree. We separately sequence the epidermis (developing from meristem layer 1) and the flesh (developing from meristem layer 2) of several fruits sampled across the entire tree. We find that most somatic mutations (> 90%) are specific to individual layers. Interestingly, layer 1 shows a higher mutation load than layer 2, implying different mutational dynamics between the layers. The distribution of somatic mutations follows the branching of the tree. This suggests that somatic mutations are propagated to developing branches through axillary meristems. In turn, this leads us to the unexpected observation that the genomes of layer 1 of distant branches are more similar to each other than to the genomes of layer 2 of the same branches. Finally, using single-cell RNA sequencing, we demonstrate that layer-specific mutations were only transcribed in the cells of the respective layers and can form the genetic basis of somaclonal phenotypic variation. CONCLUSIONS Here, we analyse the frequency and distribution of somatic mutations with meristematic origin. Our observations on the layer specificity of somatic mutations outline how they are distributed, how they propagate, and how they can impact clonally propagated crops.
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Affiliation(s)
- Manish Goel
- Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - José A Campoy
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Department of Pomology, Estación Experimental de Aula Dei (EEAD), CSIC, Saragossa, 50059, Spain
| | - Kristin Krause
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Present address: Illumina Solutions Center Berlin, Berlin, Germany
| | - Lisa C Baus
- Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Anshupa Sahu
- Institute for Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
- Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany
| | - Hequan Sun
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Present address: Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Birgit Walkemeier
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | | | - Randy Beaudry
- Department of Horticulture, Michigan State University, East Lansing, MI, 48824, USA
| | - David Ruiz
- Department of Plant Breeding, CEBAS-CSIC, P.O. Box 164, Espinardo, Murcia, 30100, Spain
| | | | - Korbinian Schneeberger
- Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany.
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
- CEPLAS (Cluster of Excellence On Plant Sciences), Heinrich-Heine University, Düsseldorf, Germany.
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4
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Li Q, Qiao X, Li L, Gu C, Yin H, Qi K, Xie Z, Yang S, Zhao Q, Wang Z, Yang Y, Pan J, Li H, Wang J, Wang C, Rieseberg LH, Zhang S, Tao S. Haplotype-resolved T2T genome assemblies and pangenome graph of pear reveal diverse patterns of allele-specific expression and the genomic basis of fruit quality traits. PLANT COMMUNICATIONS 2024:101000. [PMID: 38859586 DOI: 10.1016/j.xplc.2024.101000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 05/15/2024] [Accepted: 06/07/2024] [Indexed: 06/12/2024]
Abstract
Hybrid crops often exhibit increased yield and greater resilience, yet the genomic mechanism(s) underlying hybrid vigor or heterosis remain unclear, hindering our ability to predict the expression of phenotypic traits in hybrid breeding. Here, we generated haplotype-resolved T2T genome assemblies of two pear hybrid varieties, 'Yuluxiang' (YLX) and 'Hongxiangsu' (HXS), which share the same maternal parent but differ in their paternal parents. We then used these assemblies to explore the genome-scale landscape of allele-specific expression (ASE) and create a pangenome graph for pear. ASE was observed for close to 6000 genes in both hybrid cultivars. A subset of ASE genes related to aspects of fruit quality such as sugars, organic acids, and cuticular wax were identified, suggesting their important contributions to heterosis. Specifically, Ma1, a gene regulating fruit acidity, is absent in the paternal haplotypes of HXS and YLX. A pangenome graph was built based on our assemblies and seven published pear genomes. Resequencing data for 139 cultivated pear genotypes (including 97 genotypes sequenced here) were subsequently aligned to the pangenome graph, revealing numerous structural variant hotspots and selective sweeps during pear diversification. As predicted, the Ma1 allele was found to be absent in varieties with low organic acid content, and this association was functionally validated by Ma1 overexpression in pear fruit and calli. Overall, these results reveal the contributions of ASE to fruit-quality heterosis and provide a robust pangenome reference for high-resolution allele discovery and association mapping.
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Affiliation(s)
- Qionghou Li
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Xin Qiao
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Lanqing Li
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Chao Gu
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Hao Yin
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Kaijie Qi
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Zhihua Xie
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Sheng Yang
- Pomology Institute, Shanxi Agricultural University, Taigu, Shanxi 030801, China
| | - Qifeng Zhao
- Pomology Institute, Shanxi Agricultural University, Taigu, Shanxi 030801, China
| | - Zewen Wang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Yuhang Yang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Jiahui Pan
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Hongxiang Li
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Jie Wang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Chao Wang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Loren H Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC, Canada
| | - Shaoling Zhang
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China
| | - Shutian Tao
- National Key Laboratory of Crop Genetics and Germplasm Enhancement and Utilization, Sanya Institute of Nanjing Agricultural University, College of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
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5
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Du ZZ, He JB, Jiao WB. A comprehensive benchmark of graph-based genetic variant genotyping algorithms on plant genomes for creating an accurate ensemble pipeline. Genome Biol 2024; 25:91. [PMID: 38589937 PMCID: PMC11003132 DOI: 10.1186/s13059-024-03239-1] [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: 07/19/2023] [Accepted: 04/04/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Although sequencing technologies have boosted the measurement of the genomic diversity of plant crops, it remains challenging to accurately genotype millions of genetic variants, especially structural variations, with only short reads. In recent years, many graph-based variation genotyping methods have been developed to address this issue and tested for human genomes. However, their performance in plant genomes remains largely elusive. Furthermore, pipelines integrating the advantages of current genotyping methods might be required, considering the different complexity of plant genomes. RESULTS Here we comprehensively evaluate eight such genotypers in different scenarios in terms of variant type and size, sequencing parameters, genomic context, and complexity, as well as graph size, using both simulated and real data sets from representative plant genomes. Our evaluation reveals that there are still great challenges to applying existing methods to plants, such as excessive repeats and variants or high resource consumption. Therefore, we propose a pipeline called Ensemble Variant Genotyper (EVG) that can achieve better genotyping performance in almost all experimental scenarios and comparably higher genotyping recall and precision even using 5× reads. Furthermore, we demonstrate that EVG is more robust with an increasing number of graphed genomes, especially for insertions and deletions. CONCLUSIONS Our study will provide new insights into the development and application of graph-based genotyping algorithms. We conclude that EVG provides an accurate, unbiased, and cost-effective way for genotyping both small and large variations and will be potentially used in population-scale genotyping for large, repetitive, and heterozygous plant genomes.
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Affiliation(s)
- Ze-Zhen Du
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Jia-Bao He
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Wen-Biao Jiao
- National Key Laboratory for Germplasm Innovation & Utilization of Horticultural Crops, Huazhong Agricultural University, Wuhan, China.
- Hubei Hongshan Laboratory, Wuhan, China.
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6
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Nie F, Ni P, Huang N, Zhang J, Wang Z, Xiao C, Luo F, Wang J. De novo diploid genome assembly using long noisy reads. Nat Commun 2024; 15:2964. [PMID: 38580638 PMCID: PMC10997618 DOI: 10.1038/s41467-024-47349-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/25/2024] [Indexed: 04/07/2024] Open
Abstract
The high sequencing error rate has impeded the application of long noisy reads for diploid genome assembly. Most existing assemblers failed to generate high-quality phased assemblies using long noisy reads. Here, we present PECAT, a Phased Error Correction and Assembly Tool, for reconstructing diploid genomes from long noisy reads. We design a haplotype-aware error correction method that can retain heterozygote alleles while correcting sequencing errors. We combine a corrected read SNP caller and a raw read SNP caller to further improve the identification of inconsistent overlaps in the string graph. We use a grouping method to assign reads to different haplotype groups. PECAT efficiently assembles diploid genomes using Nanopore R9, PacBio CLR or Nanopore R10 reads only. PECAT generates more contiguous haplotype-specific contigs compared to other assemblers. Especially, PECAT achieves nearly haplotype-resolved assembly on B. taurus (Bison×Simmental) using Nanopore R9 reads and phase block NG50 with 59.4/58.0 Mb for HG002 using Nanopore R10 reads.
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Affiliation(s)
- Fan Nie
- School of Computer Science and Engineering, Central South University, Changsha, 410083, China
- Xiangjiang Laboratory, Changsha, 410205, China
- National Center for Applied Mathematics in Hunan and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Xiangtan University, Xiangtan, Hunan, 411105, China
| | - Peng Ni
- School of Computer Science and Engineering, Central South University, Changsha, 410083, China
- Xiangjiang Laboratory, Changsha, 410205, China
- Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha, 410083, China
| | - Neng Huang
- School of Computer Science and Engineering, Central South University, Changsha, 410083, China
- Xiangjiang Laboratory, Changsha, 410205, China
- Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha, 410083, China
| | - Jun Zhang
- School of Computer Science and Engineering, Central South University, Changsha, 410083, China
- Xiangjiang Laboratory, Changsha, 410205, China
- Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha, 410083, China
| | - Zhenyu Wang
- Institute of Nanfan & Seed Industry, Guangdong Academy of Sciences, Guangdong, 510316, China
| | - Chuanle Xiao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University #7 Jinsui Road, Tianhe District, Guangzhou, China.
| | - Feng Luo
- School of Computing, Clemson University, Clemson, SC, 29634-0974, USA.
| | - Jianxin Wang
- School of Computer Science and Engineering, Central South University, Changsha, 410083, China.
- Xiangjiang Laboratory, Changsha, 410205, China.
- Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha, 410083, China.
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7
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Zhang X, Li D, Pan W. Haplotype-resolved assembly of auto-polyploid genomes via combining Hi-C and gametic data. Sci Rep 2024; 14:7892. [PMID: 38570611 PMCID: PMC10991297 DOI: 10.1038/s41598-024-58623-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 04/01/2024] [Indexed: 04/05/2024] Open
Abstract
Haplotype-resolved genome assembly plays a crucial role in understanding allele-specific functions. However, obtaining haplotype-resolved assembly for auto-polyploid genomes remains challenging. Existing methods can be classified into reference-based phasing, assembly-based phasing, and gamete binning. Nevertheless, there is a lack of cost-effective and efficient methods for haplotyping auto-polyploid genomes. In this study, we propose a novel phasing algorithm called PolyGH, which combines Hi-C and gametic data. We conducted experiments on tetraploid potato cultivars and divided the method into three steps. Firstly, gametic data was utilized to bin non-collapsed contigs, followed by merging adjacent fragments of the same type within the same contig. Secondly, accurate Hi-C signals related to differential genomic regions were acquired using unique k-mers. Finally, collapsed fragments were assigned to haplotigs based on combined Hi-C and gametic signals. Comparing PolyGH with Hi-C-based and gametic data-based methods, we found that PolyGH exhibited superior performance in haplotyping auto-polyploid genomes when integrating both data types. This approach has the potential to enhance haplotype-resolved assembly for auto-polyploid genomes.
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Affiliation(s)
- Xiaohui Zhang
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China
- Shenzhen Branch, Guangdong Laboratory for 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
| | - Dongxi Li
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China.
| | - Weihua Pan
- Shenzhen Branch, Guangdong Laboratory for 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.
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8
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Yuan CU, Quah FX, Hemberg M. Single-cell and spatial transcriptomics: Bridging current technologies with long-read sequencing. Mol Aspects Med 2024; 96:101255. [PMID: 38368637 DOI: 10.1016/j.mam.2024.101255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 01/30/2024] [Accepted: 02/07/2024] [Indexed: 02/20/2024]
Abstract
Single-cell technologies have transformed biomedical research over the last decade, opening up new possibilities for understanding cellular heterogeneity, both at the genomic and transcriptomic level. In addition, more recent developments of spatial transcriptomics technologies have made it possible to profile cells in their tissue context. In parallel, there have been substantial advances in sequencing technologies, and the third generation of methods are able to produce reads that are tens of kilobases long, with error rates matching the second generation short reads. Long reads technologies make it possible to better map large genome rearrangements and quantify isoform specific abundances. This further improves our ability to characterize functionally relevant heterogeneity. Here, we show how researchers have begun to combine single-cell, spatial transcriptomics, and long-read technologies, and how this is resulting in powerful new approaches to profiling both the genome and the transcriptome. We discuss the achievements so far, and we highlight remaining challenges and opportunities.
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Affiliation(s)
- Chengwei Ulrika Yuan
- Department of Biochemistry, University of Cambridge, Cambridge, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Fu Xiang Quah
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Martin Hemberg
- Gene Lay Institute, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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9
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Castellani M, Zhang M, Thangavel G, Mata-Sucre Y, Lux T, Campoy JA, Marek M, Huettel B, Sun H, Mayer KFX, Schneeberger K, Marques A. Meiotic recombination dynamics in plants with repeat-based holocentromeres shed light on the primary drivers of crossover patterning. NATURE PLANTS 2024; 10:423-438. [PMID: 38337039 PMCID: PMC10954556 DOI: 10.1038/s41477-024-01625-y] [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: 08/24/2023] [Accepted: 01/15/2024] [Indexed: 02/12/2024]
Abstract
Centromeres strongly affect (epi)genomic architecture and meiotic recombination dynamics, influencing the overall distribution and frequency of crossovers. Here we show how recombination is regulated and distributed in the holocentric plant Rhynchospora breviuscula, a species with diffused centromeres. Combining immunocytochemistry, chromatin analysis and high-throughput single-pollen sequencing, we discovered that crossover frequency is distally biased, in sharp contrast to the diffused distribution of hundreds of centromeric units and (epi)genomic features. Remarkably, we found that crossovers were abolished inside centromeric units but not in their proximity, indicating the absence of a canonical centromere effect. We further propose that telomere-led synapsis of homologues is the feature that best explains the observed recombination landscape. Our results hint at the primary influence of mechanistic features of meiotic pairing and synapsis rather than (epi)genomic features and centromere organization in determining the distally biased crossover distribution in R. breviuscula, whereas centromeres and (epi)genetic properties only affect crossover positioning locally.
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Affiliation(s)
- Marco Castellani
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Meng Zhang
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Gokilavani Thangavel
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Yennifer Mata-Sucre
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Laboratory of Plant Cytogenetics and Evolution, Department of Botany, Centre of Biosciences, Federal University of Pernambuco, Recife, Brazil
| | - Thomas Lux
- Plant Genome and Systems Biology, German Research Centre for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
| | - José A Campoy
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Department of Pomology, Estación Experimental de Aula Dei (EEAD), Consejo Superior de Investigaciones Científicas, Zaragoza, Spain
| | - Magdalena Marek
- Max Planck Genome-Centre Cologne, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Bruno Huettel
- Max Planck Genome-Centre Cologne, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Hequan Sun
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Faculty of Biology, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China
| | - Klaus F X Mayer
- Plant Genome and Systems Biology, German Research Centre for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
- School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
| | - Korbinian Schneeberger
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Faculty of Biology, Ludwig-Maximilians-Universität München, Planegg-Martinsried, Germany
- Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich-Heine University, Düsseldorf, Germany
| | - André Marques
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
- Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich-Heine University, Düsseldorf, Germany.
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10
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Pei Y, Leng L, Sun W, Liu B, Feng X, Li X, Chen S. Whole-genome sequencing in medicinal plants: current progress and prospect. SCIENCE CHINA. LIFE SCIENCES 2024; 67:258-273. [PMID: 37837531 DOI: 10.1007/s11427-022-2375-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 05/23/2023] [Indexed: 10/16/2023]
Abstract
Advancements in genomics have dramatically accelerated the research on medicinal plants, and the development of herbgenomics has promoted the "Project of 1K Medicinal Plant Genome" to decipher their genetic code. However, it is difficult to obtain their high-quality whole genomes because of the prevalence of polyploidy and/or high genomic heterozygosity. Whole genomes of 123 medicinal plants were published until September 2022. These published genome sequences were investigated in this review, covering their classification, research teams, ploidy, medicinal functions, and sequencing strategies. More than 1,000 institutes or universities around the world and 50 countries are conducting research on medicinal plant genomes. Diploid species account for a majority of sequenced medicinal plants. The whole genomes of plants in the Poaceae family are the most studied. Almost 40% of the published papers studied species with tonifying, replenishing, and heat-cleaning medicinal effects. Medicinal plants are still in the process of domestication as compared with crops, thereby resulting in unclear genetic backgrounds and the lack of pure lines, thus making their genomes more difficult to complete. In addition, there is still no clear routine framework for a medicinal plant to obtain a high-quality whole genome. Herein, a clear and complete strategy has been originally proposed for creating a high-quality whole genome of medicinal plants. Moreover, whole genome-based biological studies of medicinal plants, including breeding and biosynthesis, were reviewed. We also advocate that a research platform of model medicinal plants should be established to promote the genomics research of medicinal plants.
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Affiliation(s)
- Yifei Pei
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Liang Leng
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Wei Sun
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Baocai Liu
- Institute of Agricultural Bioresource, Fujian Academy of Agricultural Sciences, Fuzhou, 350003, China
| | - Xue Feng
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China
| | - Xiwen Li
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China.
| | - Shilin Chen
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
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11
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Delorean EE, Youngblood RC, Simpson SA, Schoonmaker AN, Scheffler BE, Rutter WB, Hulse-Kemp AM. Representing true plant genomes: haplotype-resolved hybrid pepper genome with trio-binning. FRONTIERS IN PLANT SCIENCE 2023; 14:1184112. [PMID: 38034563 PMCID: PMC10687446 DOI: 10.3389/fpls.2023.1184112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Accepted: 10/17/2023] [Indexed: 12/02/2023]
Abstract
As sequencing costs decrease and availability of high fidelity long-read sequencing increases, generating experiment specific de novo genome assemblies becomes feasible. In many crop species, obtaining the genome of a hybrid or heterozygous individual is necessary for systems that do not tolerate inbreeding or for investigating important biological questions, such as hybrid vigor. However, most genome assembly methods that have been used in plants result in a merged single sequence representation that is not a true biologically accurate representation of either haplotype within a diploid individual. The resulting genome assembly is often fragmented and exhibits a mosaic of the two haplotypes, referred to as haplotype-switching. Important haplotype level information, such as causal mutations and structural variation is therefore lost causing difficulties in interpreting downstream analyses. To overcome this challenge, we have applied a method developed for animal genome assembly called trio-binning to an intra-specific hybrid of chili pepper (Capsicum annuum L. cv. HDA149 x Capsicum annuum L. cv. HDA330). We tested all currently available softwares for performing trio-binning, combined with multiple scaffolding technologies including Bionano to determine the optimal method of producing the best haplotype-resolved assembly. Ultimately, we produced highly contiguous biologically true haplotype-resolved genome assemblies for each parent, with scaffold N50s of 266.0 Mb and 281.3 Mb, with 99.6% and 99.8% positioned into chromosomes respectively. The assemblies captured 3.10 Gb and 3.12 Gb of the estimated 3.5 Gb chili pepper genome size. These assemblies represent the complete genome structure of the intraspecific hybrid, as well as the two parental genomes, and show measurable improvements over the currently available reference genomes. Our manuscript provides a valuable guide on how to apply trio-binning to other plant genomes.
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Affiliation(s)
- Emily E. Delorean
- Genomics and Bioinformatics Research Unit, USDA-ARS, Raleigh, NC, United States
- Crop and Soil Sciences Department, North Carolina State University, Raleigh, NC, United States
| | - Ramey C. Youngblood
- Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Starkville, MS, United States
| | - Sheron A. Simpson
- Genomics and Bioinformatics Research Unit, United States Department of Agriculture - Agriculture Research Service (USDA-ARS), Stoneville, MS, United States
| | - Ashley N. Schoonmaker
- Crop and Soil Sciences Department, North Carolina State University, Raleigh, NC, United States
| | - Brian E. Scheffler
- Genomics and Bioinformatics Research Unit, United States Department of Agriculture - Agriculture Research Service (USDA-ARS), Stoneville, MS, United States
| | - William B. Rutter
- US Vegetable Laboratory, United States Department of Agriculture - Agriculture Research Service (USDA-ARS), Charleston, SC, United States
| | - Amanda M. Hulse-Kemp
- Genomics and Bioinformatics Research Unit, USDA-ARS, Raleigh, NC, United States
- Crop and Soil Sciences Department, North Carolina State University, Raleigh, NC, United States
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12
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Busoms S, Fischer S, Yant L. Chasing the mechanisms of ecologically adaptive salinity tolerance. PLANT COMMUNICATIONS 2023; 4:100571. [PMID: 36883005 PMCID: PMC10721451 DOI: 10.1016/j.xplc.2023.100571] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/12/2023] [Accepted: 03/03/2023] [Indexed: 06/18/2023]
Abstract
Plants adapted to challenging environments offer fascinating models of evolutionary change. Importantly, they also give information to meet our pressing need to develop resilient, low-input crops. With mounting environmental fluctuation-including temperature, rainfall, and soil salinity and degradation-this is more urgent than ever. Happily, solutions are hiding in plain sight: the adaptive mechanisms from natural adapted populations, once understood, can then be leveraged. Much recent insight has come from the study of salinity, a widespread factor limiting productivity, with estimates of 20% of all cultivated lands affected. This is an expanding problem, given increasing climate volatility, rising sea levels, and poor irrigation practices. We therefore highlight recent benchmark studies of ecologically adaptive salt tolerance in plants, assessing macro- and microevolutionary mechanisms, and the recently recognized role of ploidy and the microbiome on salinity adaptation. We synthesize insight specifically on naturally evolved adaptive salt-tolerance mechanisms, as these works move substantially beyond traditional mutant or knockout studies, to show how evolution can nimbly "tweak" plant physiology to optimize function. We then point to future directions to advance this field that intersect evolutionary biology, abiotic-stress tolerance, breeding, and molecular plant physiology.
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Affiliation(s)
- Silvia Busoms
- Plant Physiology Laboratory, Bioscience Faculty, Universitat Autònoma de Barcelona, Bellaterra, Barcelona E-08193, Spain
| | - Sina Fischer
- Future Food Beacon of Excellence, University of Nottingham, Nottingham NG7 2RD, UK; School of Biosciences, University of Nottingham, Nottingham NG7 2RD, UK
| | - Levi Yant
- Future Food Beacon of Excellence, University of Nottingham, Nottingham NG7 2RD, UK; School of Life Sciences, University of Nottingham, Nottingham NG7 2RD, UK.
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13
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Jin X, Du H, Zhu C, Wan H, Liu F, Ruan J, Mower JP, Zhu A. Haplotype-resolved genomes of wild octoploid progenitors illuminate genomic diversifications from wild relatives to cultivated strawberry. NATURE PLANTS 2023; 9:1252-1266. [PMID: 37537397 DOI: 10.1038/s41477-023-01473-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 07/03/2023] [Indexed: 08/05/2023]
Abstract
Strawberry is an emerging model for studying polyploid genome evolution and rapid domestication of fruit crops. Here we report haplotype-resolved genomes of two wild octoploids (Fragaria chiloensis and Fragaria virginiana), the progenitor species of cultivated strawberry. Substantial variation is identified between species and between haplotypes. We redefine the four subgenomes and track the genetic contributions of diploid species by additional sequencing of the diploid F. nipponica genome. We provide multiple lines of evidence that F. vesca and F. iinumae, rather than other described extant species, are the closest living relatives of these wild and cultivated octoploids. In response to coexistence with quadruplicate gene copies, the octoploid strawberries have experienced subgenome dominance, homoeologous exchanges and coordinated expression of homoeologous genes. However, some homoeologues have substantially altered expression bias after speciation and during domestication. These findings enhance our understanding of the origin, genome evolution and domestication of strawberries.
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Affiliation(s)
- Xin Jin
- Germplasm Bank of Wild Species, Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Haiyuan Du
- Germplasm Bank of Wild Species, Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Chumeng Zhu
- Germplasm Bank of Wild Species, Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hong Wan
- Horticultural Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Fang Liu
- Germplasm Bank of Wild Species, Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - Jiwei Ruan
- Flower Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China.
| | - Jeffrey P Mower
- Center for Plant Science Innovation, University of Nebraska, Lincoln, NE, USA.
- Department of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.
| | - Andan Zhu
- Germplasm Bank of Wild Species, Yunnan Key Laboratory of Crop Wild Relatives Omics, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China.
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Kong W, Wang Y, Zhang S, Yu J, Zhang X. Recent Advances in Assembly of Complex Plant Genomes. GENOMICS, PROTEOMICS & BIOINFORMATICS 2023; 21:427-439. [PMID: 37100237 PMCID: PMC10787022 DOI: 10.1016/j.gpb.2023.04.004] [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: 03/18/2023] [Revised: 03/18/2023] [Accepted: 04/07/2023] [Indexed: 04/28/2023]
Abstract
Over the past 20 years, tremendous advances in sequencing technologies and computational algorithms have spurred plant genomic research into a thriving era with hundreds of genomes decoded already, ranging from those of nonvascular plants to those of flowering plants. However, complex plant genome assembly is still challenging and remains difficult to fully resolve with conventional sequencing and assembly methods due to high heterozygosity, highly repetitive sequences, or high ploidy characteristics of complex genomes. Herein, we summarize the challenges of and advances in complex plant genome assembly, including feasible experimental strategies, upgrades to sequencing technology, existing assembly methods, and different phasing algorithms. Moreover, we list actual cases of complex genome projects for readers to refer to and draw upon to solve future problems related to complex genomes. Finally, we expect that the accurate, gapless, telomere-to-telomere, and fully phased assembly of complex plant genomes could soon become routine.
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Affiliation(s)
- Weilong Kong
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Yibin Wang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Shengcheng Zhang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Jiaxin Yu
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Xingtan Zhang
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China.
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15
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Huang M, Zhu X, Bai H, Wang C, Gou N, Zhang Y, Chen C, Yin M, Wang L, Wuyun T. Comparative Anatomical and Transcriptomics Reveal the Larger Cell Size as a Major Contributor to Larger Fruit Size in Apricot. Int J Mol Sci 2023; 24:ijms24108748. [PMID: 37240096 DOI: 10.3390/ijms24108748] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 04/25/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
Fruit size is one of the essential quality traits and influences the economic value of apricots. To explore the underlying mechanisms of the formation of differences in fruit size in apricots, we performed a comparative analysis of anatomical and transcriptomics dynamics during fruit growth and development in two apricot cultivars with contrasting fruit sizes (large-fruit Prunus armeniaca 'Sungold' and small-fruit P. sibirica 'F43'). Our analysis identified that the difference in fruit size was mainly caused by the difference in cell size between the two apricot cultivars. Compared with 'F43', the transcriptional programs exhibited significant differences in 'Sungold', mainly in the cell expansion period. After analysis, key differentially expressed genes (DEGs) most likely to influence cell size were screened out, including genes involved in auxin signal transduction and cell wall loosening mechanisms. Furthermore, weighted gene co-expression network analysis (WGCNA) revealed that PRE6/bHLH was identified as a hub gene, which interacted with 1 TIR1, 3 AUX/IAAs, 4 SAURs, 3 EXPs, and 1 CEL. Hence, a total of 13 key candidate genes were identified as positive regulators of fruit size in apricots. The results provide new insights into the molecular basis of fruit size control and lay a foundation for future breeding and cultivation of larger fruits in apricot.
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Affiliation(s)
- Mengzhen Huang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- College of Forestry, Nanjing Forestry University, Nanjing 210037, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Xuchun Zhu
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Haikun Bai
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Chu Wang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Ningning Gou
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Yujing Zhang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Chen Chen
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Mingyu Yin
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Lin Wang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
| | - Tana Wuyun
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Non-Timber Forestry, Chinese Academy of Forestry, Zhengzhou 450003, China
- Kernel-Apricot Engineering and Technology Research Center of State Forestry and Grassland Administration, Zhengzhou 450003, China
- Key Laboratory of Non-Timber Forest Germplasm Enhancement and Utilization of National Forestry and Grassland Administration, Zhengzhou 450003, China
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16
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Cai C, Pelé A, Bucher J, Finkers R, Bonnema G. Fine mapping of meiotic crossovers in Brassica oleracea reveals patterns and variations depending on direction and combination of crosses. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 113:1192-1210. [PMID: 36626115 DOI: 10.1111/tpj.16104] [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: 07/12/2022] [Revised: 01/03/2023] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
Abstract
Meiotic recombination is crucial for assuring proper segregation of parental chromosomes and generation of novel allelic combinations. As this process is tightly regulated, identifying factors influencing rate, and distribution of meiotic crossovers (COs) is of major importance, notably for plant breeding programs. However, high-resolution recombination maps are sparse in most crops including the Brassica genus and knowledge about intraspecific variation and sex differences is lacking. Here, we report fine-scale resolution recombination landscapes for 10 female and 10 male crosses in Brassica oleracea, by analyzing progenies of five large four-way-cross populations from two reciprocally crossed F1s per population. Parents are highly diverse inbred lines representing major crops, including broccoli, cauliflower, cabbage, kohlrabi, and kale. We produced approximately 4.56T Illumina data from 1248 progenies and identified 15 353 CO across the 10 reciprocal crosses, 51.13% of which being mapped to <10 kb. We revealed fairly similar Mb-scale recombination landscapes among all cross combinations and between the sexes, and provided evidence that these landscapes are largely independent of sequence divergence. We evidenced strong influence of gene density and large structural variations on CO formation in B. oleracea. Moreover, we found extensive variations in CO number depending on the direction and combination of the initial parents crossed with, for the first time, a striking interdependency between these factors. These data improve our current knowledge on meiotic recombination and are important for Brassica breeders.
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Affiliation(s)
- Chengcheng Cai
- Plant Breeding, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands
- Graduate School Experimental Plant Sciences, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands
| | - Alexandre Pelé
- Laboratory of Genome Biology, Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University in Poznan, 61-614, Poznan, Poland
| | - Johan Bucher
- Plant Breeding, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands
| | - Richard Finkers
- Plant Breeding, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands
- Gennovation B.V., Agro Business Park 10, 6708 PW, Wageningen, The Netherlands
| | - Guusje Bonnema
- Plant Breeding, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands
- Graduate School Experimental Plant Sciences, Wageningen University and Research, 6708 PB, Wageningen, The Netherlands
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17
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Inference of Polyploid Origin and Inheritance Mode from Population Genomic Data. Methods Mol Biol 2023; 2545:279-295. [PMID: 36720819 DOI: 10.1007/978-1-0716-2561-3_15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Whole-genome duplications yield varied chromosomal pairing patterns, ranging from strictly bivalent to multivalent, resulting in disomic and polysomic inheritance modes. In the bivalent case, homeologous chromosomes form pairs, where in a multivalent pattern all copies are homologous and are therefore free to pair and recombine. As sufficient sequencing data is more readily available than high-quality cytological assessments of meiotic behavior or population genetic assessment of allelic segregation, especially for non-model organisms, bioinformatics approaches to infer origins and inheritance modes of polyploids using short-read sequencing data are attractive. Here we describe two such approaches, where the first is based on distributions of allelic read depth at heterozygous sites within an individual, as the expectations of such distributions are different for disomic and polysomic inheritance modes. The second approach is more laborious and based on a phylogenetic assessment of partially phased haplotypes of a polyploid in comparison to the closest diploid relatives. We discuss the sources of deviations from expected inheritance patterns, advantages and pitfalls of both methods, effects of mating types on the performance of the methods, and possible future developments.
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18
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Duitama J. Phased Genome Assemblies. Methods Mol Biol 2023; 2590:273-286. [PMID: 36335504 DOI: 10.1007/978-1-0716-2819-5_16] [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: 06/16/2023]
Abstract
The ultimate goal of de novo assembly of reads sequenced from a diploid individual is the separate reconstruction of the sequences corresponding to the two copies of each chromosome. Unfortunately, the allele linkage information needed to perform phased genome assemblies has been difficult to generate. Hence, most current genome assemblies are a haploid mixture of the two underlying chromosome copies present in the sequenced individual. Sequencing technologies providing long (20 kb) and accurate reads are the basis to generate phased genome assemblies. This chapter provides a brief overview of the main milestones in traditional genome assembly, focusing on the bioinformatic techniques developed to generate haplotype information from different specialized protocols. Using these techniques as a knowledge background, the chapter reviews the current algorithms to generate phased assemblies from long reads with low error rates. Current techniques perform haplotype-aware error correction steps to increase the quality of the raw reads. In addition, variations on the traditional overlap-layout-consensus (OLC) graph have been developed in an effort to eliminate edges between reads sequenced from different chromosome copies. This allows for large presence-absence variants between the chromosome copies to be taken into account. The development of these algorithms, along with the improved sequencing technologies has been crucial to finish chromosome-level assemblies of complex genomes.
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Affiliation(s)
- Jorge Duitama
- Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia.
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19
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Sun H, Campoy JA, Schneeberger K. Gamete Binning to Achieve Haplotype-Resolved Genome Assembly. Methods Mol Biol 2023; 2590:201-218. [PMID: 36335501 DOI: 10.1007/978-1-0716-2819-5_13] [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: 06/16/2023]
Abstract
Haplotype-resolved genome assemblies remain a challenge in practice. Here, we provide a step-by-step guide on gamete binning, a method to generate haplotype-resolved genome assemblies for diploid species. The protocol starts by phasing heterozygous variants to individual haplotypes of specific chromosomes using the genome information of individual haploid gametes of the focal individual. Using phased variants, the whole-genome sequencing reads from the diploid genome can be genotyped and assigned into groups, which represent the individual haplotypes of each of the chromosomes. Finally, haplotype-specific chromosomes can be assembled independently using standard assembly tools. First applications of gamete binning revealed a haplotyping accuracy over 99%, which outperformed sequence-only or Hi-C-based haplotype-resolved genome assemblies.Availability: github.com/schneebergerlab/GameteBinning_prac .
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Affiliation(s)
- Hequan Sun
- Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - José A Campoy
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Korbinian Schneeberger
- Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany.
- Department of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
- Cluster of Excellence on Plant Sciences, Heinrich-Heine University, Düsseldorf, Germany.
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20
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Marone MP, Singh HC, Pozniak CJ, Mascher M. A technical guide to TRITEX, a computational pipeline for chromosome-scale sequence assembly of plant genomes. PLANT METHODS 2022; 18:128. [PMID: 36461065 PMCID: PMC9719158 DOI: 10.1186/s13007-022-00964-1] [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: 09/13/2022] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND As complete and accurate genome sequences are becoming easier to obtain, more researchers wish to get one or more of them to support their research endeavors. Reliable and well-documented sequence assembly workflows find use in reference or pangenome projects. RESULTS We describe modifications to the TRITEX genome assembly workflow motivated by the rise of fast and easy long-read contig assembly of inbred plant genomes and the routine deployment of the toolchains in pangenome projects. New features include the use as surrogates of or complements to dense genetic maps and the introduction of user-editable tables to make the curation of contig placements easier and more intuitive. CONCLUSION Even maximally contiguous sequence assemblies of the telomere-to-telomere sort, and to a yet greater extent, the fragmented kind require validation, correction, and comparison to reference standards. As pangenomics is burgeoning, these tasks are bound to become more widespread and TRITEX is one tool to get them done. This technical guide is supported by a step-by-step computational tutorial accessible under https://tritexassembly.bitbucket.io/ . The TRITEX source code is hosted under this URL: https://bitbucket.org/tritexassembly .
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Affiliation(s)
- Marina Püpke Marone
- Leibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Seeland, Germany
- Department of Genetics, Evolution, Microbiology and Immunology, University of Campinas, Campinas, Brazil
| | - Harmeet Chawla Singh
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, S7N 5A8, Canada
- Department of Plant Science, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada
| | - Curtis J Pozniak
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, S7N 5A8, Canada
| | - Martin Mascher
- Leibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Seeland, Germany.
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
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21
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Lyu R, Tsui V, Crismani W, Liu R, Shim H, McCarthy D. sgcocaller and comapr: personalised haplotype assembly and comparative crossover map analysis using single-gamete sequencing data. Nucleic Acids Res 2022; 50:e118. [PMID: 36107768 PMCID: PMC9723612 DOI: 10.1093/nar/gkac764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 08/17/2022] [Accepted: 09/06/2022] [Indexed: 12/24/2022] Open
Abstract
Profiling gametes of an individual enables the construction of personalised haplotypes and meiotic crossover landscapes, now achievable at larger scale than ever through the availability of high-throughput single-cell sequencing technologies. However, high-throughput single-gamete data commonly have low depth of coverage per gamete, which challenges existing gamete-based haplotype phasing methods. In addition, haplotyping a large number of single gametes from high-throughput single-cell DNA sequencing data and constructing meiotic crossover profiles using existing methods requires intensive processing. Here, we introduce efficient software tools for the essential tasks of generating personalised haplotypes and calling crossovers in gametes from single-gamete DNA sequencing data (sgcocaller), and constructing, visualising, and comparing individualised crossover landscapes from single gametes (comapr). With additional data pre-possessing, the tools can also be applied to bulk-sequenced samples. We demonstrate that sgcocaller is able to generate impeccable phasing results for high-coverage datasets, on which it is more accurate and stable than existing methods, and also performs well on low-coverage single-gamete sequencing datasets for which current methods fail. Our tools achieve highly accurate results with user-friendly installation, comprehensive documentation, efficient computation times and minimal memory usage.
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Affiliation(s)
- Ruqian Lyu
- Bioinformatics and Cellular Genomics, St Vincent’s Institute of Medical Research, 9 Princes Street, Fitzroy, Victoria 3065, Australia,Melbourne Integrative Genomics/School of Mathematics and Statistics, Faculty of Science, The University of Melbourne, Building 184, Royal Parade, Parkville, Victoria 3010, Australia
| | - Vanessa Tsui
- DNA Repair and Recombination Laboratory, St Vincent’s Institute of Medical Research, 9 Princes Street, Fitzroy, Victoria 3065, Australia,The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Wayne Crismani
- DNA Repair and Recombination Laboratory, St Vincent’s Institute of Medical Research, 9 Princes Street, Fitzroy, Victoria 3065, Australia,The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Ruijie Liu
- Bioinformatics and Cellular Genomics, St Vincent’s Institute of Medical Research, 9 Princes Street, Fitzroy, Victoria 3065, Australia
| | | | - Davis J McCarthy
- To whom correspondence should be addressed. Tel: +61 3 9231 2480; Fax: +61 3 9416 2676;
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22
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Flood PJ, Nowrousian M, Huettel B, Woehle C, Becker K, Wollenweber TE, Begerow D, Grefen C. Draft genome of the aardaker (Lathyrus tuberosus L.), a tuberous legume. BMC Genom Data 2022; 23:70. [PMID: 36057561 PMCID: PMC9441078 DOI: 10.1186/s12863-022-01083-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 08/24/2022] [Indexed: 11/25/2022] Open
Abstract
Objectives Lathyrus tuberosus is a nitrogen-fixing member of the Fabaceae which forms protein-rich tubers. To aid future domestication programs for this legume plant and facilitate evolutionary studies of tuber formation, we have generated a draft genome assembly based on Pacific Biosciences sequence reads. Data description Genomic DNA from L. tuberosus was sequenced with PacBio’s HiFi sequencing chemistry generating 12.8 million sequence reads with an average read length of 14 kb (approximately 180 Gb of sequence data). The reads were assembled to give a draft genome of 6.8 Gb in 1353 contigs with an N50 contig length of 11.1 Mb. The GC content of the genome assembly was 38.3%. BUSCO analysis of the genome assembly indicated a genome completeness of at least 96%. The genome sequence will be a valuable resource, for example, in assessing genomic consequences of domestication efforts and developing marker sets for breeding programs. The L. tuberosus genome will also aid in the analysis of the evolutionary history of plants within the nitrogen-fixing Fabaceae family and in understanding the molecular basis of tuber evolution.
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23
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Bao Z, Li C, Li G, Wang P, Peng Z, Cheng L, Li H, Zhang Z, Li Y, Huang W, Ye M, Dong D, Cheng Z, VanderZaag P, Jacobsen E, Bachem CWB, Dong S, Zhang C, Huang S, Zhou Q. Genome architecture and tetrasomic inheritance of autotetraploid potato. MOLECULAR PLANT 2022; 15:1211-1226. [PMID: 35733345 DOI: 10.1016/j.molp.2022.06.009] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 05/16/2022] [Accepted: 06/16/2022] [Indexed: 06/15/2023]
Abstract
Potato (Solanum tuberosum) is the most consumed non-cereal food crop. Most commercial potato cultivars are autotetraploids with highly heterozygous genomes, severely hampering genetic analyses and improvement. By leveraging the state-of-the-art sequencing technologies and polyploid graph binning, we achieved a chromosome-scale, haplotype-resolved genome assembly of a cultivated potato, Cooperation-88 (C88). Intra-haplotype comparative analyses revealed extensive sequence and expression differences in this tetraploid genome. We identified haplotype-specific pericentromeres on chromosomes, suggesting a distinct evolutionary trajectory of potato homologous centromeres. Furthermore, we detected double reduction events that are unevenly distributed on haplotypes in 1021 of 1034 selfing progeny, a feature of autopolyploid inheritance. By distinguishing maternal and paternal haplotype sets in C88, we simulated the origin of heterosis in cultivated tetraploid with a survey of 3110 tetra-allelic loci with deleterious mutations, which were masked in the heterozygous condition by two parents. This study provides insights into the genomic architecture of autopolyploids and will guide their breeding.
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Affiliation(s)
- Zhigui Bao
- 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
| | - Canhui Li
- Key Laboratory for Potato Biology of Yunnan Province, The CAAS-YNNU-YINMORE Joint Academy of Potato Science, Yunnan Normal University, Kunming 650500, China
| | - Guangcun Li
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Tuber and Root Crop, Ministry of Agriculture and Rural Affairs, Beijing 100081, China
| | - Pei Wang
- 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
| | - Zhen Peng
- 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
| | - Lin 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
| | - Hongbo Li
- 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; Plant Breeding, Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB Wageningen, the Netherlands
| | - Zhiyang Zhang
- 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
| | - Yuying Li
- 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
| | - Wu Huang
- 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
| | - Mingwang Ye
- Key Laboratory for Potato Biology of Yunnan Province, The CAAS-YNNU-YINMORE Joint Academy of Potato Science, Yunnan Normal University, Kunming 650500, China
| | - Daofeng Dong
- Vegetable Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100, China
| | - Zhukuan Cheng
- State Key Lab of Plant Genomics, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing 100101, China
| | | | - Evert Jacobsen
- Plant Breeding, Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB Wageningen, the Netherlands
| | - Christian W B Bachem
- Plant Breeding, Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB Wageningen, the Netherlands
| | - Suomeng Dong
- Department of Plant Pathology and Key Laboratory of Plant Immunity, Nanjing Agricultural University, Nanjing 210095, China
| | - Chunzhi Zhang
- 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
| | - Sanwen Huang
- 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.
| | - Qian Zhou
- 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; Peng Cheng Laboratory, Shenzhen 518055, China.
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24
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Wakita S, Hara M, Kitabatake Y, Kawatani K, Kurahashi H, Hashizume R. Experimental method for haplotype phasing across the entire length of chromosome 21 in trisomy 21 cells using a chromosome elimination technique. J Hum Genet 2022; 67:565-572. [PMID: 35637312 PMCID: PMC9510051 DOI: 10.1038/s10038-022-01049-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 04/25/2022] [Accepted: 05/12/2022] [Indexed: 11/09/2022]
Abstract
Modern sequencing technologies produce a single consensus sequence without distinguishing between homologous chromosomes. Haplotype phasing solves this limitation by identifying alleles on the maternal and paternal chromosomes. This information is critical for understanding gene expression models in genetic disease research. Furthermore, the haplotype phasing of three homologous chromosomes in trisomy cells is more complicated than that in disomy cells. In this study, we attempted the accurate and complete haplotype phasing of chromosome 21 in trisomy 21 cells. To separate homologs, we established three corrected disomy cell lines (ΔPaternal chromosome, ΔMaternal chromosome 1, and ΔMaternal chromosome 2) from trisomy 21 induced pluripotent stem cells by eliminating one chromosome 21 utilizing the Cre-loxP system. These cells were then whole-genome sequenced by a next-generation sequencer. By simply comparing the base information of the whole-genome sequence data at the same position between each corrected disomy cell line, we determined the base on the eliminated chromosome and performed phasing. We phased 51,596 single nucleotide polymorphisms (SNPs) on chromosome 21, randomly selected seven SNPs spanning the entire length of the chromosome, and confirmed that there was no contradiction by direct sequencing.
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Affiliation(s)
- Sachiko Wakita
- Department of Pathology and Matrix Biology, Mie University Graduate School of Medicine, Mie, Japan
| | - Mari Hara
- Department of Pathology and Matrix Biology, Mie University Graduate School of Medicine, Mie, Japan
| | - Yasuji Kitabatake
- Department of Pediatrics, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Keiji Kawatani
- Department of Pediatrics, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.,Department of Neuroscience, Mayo Clinic, Scottsdale, AZ, USA
| | - Hiroki Kurahashi
- Division of Molecular Genetics, Institute for Comprehensive Medical Science, Fujita Health University, Toyoake, Japan
| | - Ryotaro Hashizume
- Department of Pathology and Matrix Biology, Mie University Graduate School of Medicine, Mie, Japan. .,Department of Genomic Medicine, Mie University Hospital, Mie, Japan.
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25
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Goel M, Schneeberger K. plotsr: visualizing structural similarities and rearrangements between multiple genomes. Bioinformatics 2022; 38:2922-2926. [PMID: 35561173 PMCID: PMC9113368 DOI: 10.1093/bioinformatics/btac196] [Citation(s) in RCA: 61] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/15/2022] [Accepted: 04/11/2022] [Indexed: 02/03/2023] Open
Abstract
SUMMARY Third-generation genome sequencing technologies have led to a sharp increase in the number of high-quality genome assemblies. This allows the comparison of multiple assembled genomes of individual species and demands new tools for visualizing their structural properties. Here, we present plotsr, an efficient tool to visualize structural similarities and rearrangements between genomes. It can be used to compare genomes on chromosome level or to zoom in on any selected region. In addition, plotsr can augment the visualization with regional identifiers (e.g. genes or genomic markers) or histogram tracks for continuous features (e.g. GC content or polymorphism density). AVAILABILITY AND IMPLEMENTATION plotsr is implemented as a python package and uses the standard matplotlib library for plotting. It is freely available under the MIT license at GitHub (https://github.com/schneebergerlab/plotsr) and bioconda (https://anaconda.org/bioconda/plotsr). SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Manish Goel
- Faculty of Biology, LMU Munich, Planegg-Martinsried 82152, Germany
- Department of Genetics, Faculty of Biology, LMU Munich, Germany
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26
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Yoshitake K, Ishikawa A, Yonezawa R, Kinoshita S, Kitano J, Asakawa S. Construction of a chromosome-level Japanese stickleback species genome using ultra-dense linkage analysis with single-cell sperm sequencing. NAR Genom Bioinform 2022; 4:lqac026. [PMID: 35372836 PMCID: PMC8969643 DOI: 10.1093/nargab/lqac026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 02/28/2022] [Accepted: 03/09/2022] [Indexed: 11/30/2022] Open
Abstract
It is still difficult to construct the genomes of higher organisms as their genome sequences must be extended to the length of the chromosome by linkage analysis. In this study, we attempted to provide an innovative alternative to conventional linkage analysis by devising a method to genotype sperm using 10× Genomics single-cell genome sequencing libraries to generate a linkage map without interbreeding individuals. A genome was assembled using sperm from the Japanese stickleback Gasterosteus nipponicus, with single-cell genotyping yielding 1 864 430 very dense hetero-SNPs and an average coverage per sperm cell of 0.13×. In total, 1665 sperm were used, which is an order of magnitude higher than the number of recombinations used for conventional linkage analysis. We then improved the linkage analysis tool scaffold extender with low depth linkage analysis (SELDLA) to analyze the data according to the characteristics of the single-cell genotyping data. Finally, we were able to determine the chromosomal location (97.1%) and orientation (64.4%) of the contigs in the 456 Mb genome of G. nipponicus, sequenced using nanopores. This method promises to be a useful tool for determining the genomes of non-model organisms for which breeding systems have not yet been established by linkage analysis.
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Affiliation(s)
- Kazutoshi Yoshitake
- Laboratory of Aquatic Molecular Biology and Biotechnology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, Japan
| | - Asano Ishikawa
- Ecological Genetics Laboratory, National Institute of Genetics, Yata 1111, Mishima, Shizuoka 411-8540, Japan
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan
| | - Ryo Yonezawa
- Laboratory of Aquatic Molecular Biology and Biotechnology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, Japan
| | - Shigeharu Kinoshita
- Laboratory of Aquatic Molecular Biology and Biotechnology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, Japan
| | - Jun Kitano
- Ecological Genetics Laboratory, National Institute of Genetics, Yata 1111, Mishima, Shizuoka 411-8540, Japan
| | - Shuichi Asakawa
- Laboratory of Aquatic Molecular Biology and Biotechnology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo, Japan
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27
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Chromosome-scale and haplotype-resolved genome assembly of a tetraploid potato cultivar. Nat Genet 2022; 54:342-348. [PMID: 35241824 PMCID: PMC8920897 DOI: 10.1038/s41588-022-01015-0] [Citation(s) in RCA: 78] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 01/10/2022] [Indexed: 12/13/2022]
Abstract
Potato is the most widely produced tuber crop worldwide. However, reconstructing the four haplotypes of its autotetraploid genome remained an unsolved challenge. Here, we report the 3.1 Gb haplotype-resolved (at 99.6% precision), chromosome-scale assembly of the potato cultivar ‘Otava’ based on high-quality long reads, single-cell sequencing of 717 pollen genomes and Hi-C data. Unexpectedly, ~50% of the genome was identical-by-descent due to recent inbreeding, which was contrasted by highly abundant structural rearrangements involving ~20% of the genome. Among 38,214 genes, only 54% were present in all four haplotypes with an average of 3.2 copies per gene. Taking the leaf transcriptome as an example, 11% of the genes were differently expressed in at least one haplotype, where 25% of them were likely regulated through allele-specific DNA methylation. Our work sheds light on the recent breeding history of potato, the functional organization of its tetraploid genome and has the potential to strengthen the future of genomics-assisted breeding. Haplotype-resolved genome assembly of the tetraploid potato cultivar ‘Otava’ sheds light on functional organization of the tetraploid genome and provides the potential for genomics-assisted breeding.
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28
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Xie M, Yang L, Jiang C, Wu S, Luo C, Yang X, He L, Chen S, Deng T, Ye M, Yan J, Yang N. gcaPDA: a haplotype-resolved diploid assembler. BMC Bioinformatics 2022; 23:68. [PMID: 35164674 PMCID: PMC8842951 DOI: 10.1186/s12859-022-04591-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 01/29/2022] [Indexed: 11/13/2022] Open
Abstract
Background Generating chromosome-scale haplotype resolved assembly is important for functional studies. However, current de novo assemblers are either haploid assemblers that discard allelic information, or diploid assemblers that can only tackle genomes of low complexity. Results Here, Using robust programs, we build a diploid genome assembly pipeline called gcaPDA (gamete cells assisted Phased Diploid Assembler), which exploits haploid gamete cells to assist in resolving haplotypes. We demonstrate the effectiveness of gcaPDA based on simulated HiFi reads of maize genome which is highly heterozygous and repetitive, and real data from rice. Conclusions With applicability of coping with complex genomes and fewer restrictions on application than most of diploid assemblers, gcaPDA is likely to find broad applications in studies of eukaryotic genomes. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-022-04591-4.
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Affiliation(s)
- Min Xie
- Guangdong Engineering Research Center of Plant and Animal Genomics, BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Linfeng Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.,Guangdong Engineering Research Center of Plant and Animal Genomics, BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Chenglin Jiang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shenshen Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Cheng Luo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xin Yang
- Guangdong Engineering Research Center of Plant and Animal Genomics, BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Lijuan He
- Guangdong Engineering Research Center of Plant and Animal Genomics, BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Shixuan Chen
- Guangdong Engineering Research Center of Plant and Animal Genomics, BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Tianquan Deng
- Guangdong Engineering Research Center of Plant and Animal Genomics, BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Mingzhi Ye
- Guangdong Engineering Research Center of Plant and Animal Genomics, BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.,Hubei Hongshan Laboratory, Wuhan, 430070, China
| | - Ning Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China. .,Hubei Hongshan Laboratory, Wuhan, 430070, China.
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29
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Pucker B, Irisarri I, de Vries J, Xu B. Plant genome sequence assembly in the era of long reads: Progress, challenges and future directions. QUANTITATIVE PLANT BIOLOGY 2022; 3:e5. [PMID: 37077982 PMCID: PMC10095996 DOI: 10.1017/qpb.2021.18] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 11/24/2021] [Accepted: 12/21/2021] [Indexed: 05/03/2023]
Abstract
Third-generation long-read sequencing is transforming plant genomics. Oxford Nanopore Technologies and Pacific Biosciences are offering competing long-read sequencing technologies and enable plant scientists to investigate even large and complex plant genomes. Sequencing projects can be conducted by single research groups and sequences of smaller plant genomes can be completed within days. This also resulted in an increased investigation of genomes from multiple species in large scale to address fundamental questions associated with the origin and evolution of land plants. Increased accessibility of sequencing devices and user-friendly software allows more researchers to get involved in genomics. Current challenges are accurately resolving diploid or polyploid genome sequences and better accounting for the intra-specific diversity by switching from the use of single reference genome sequences to a pangenome graph.
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Affiliation(s)
- Boas Pucker
- Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom
- Institute of Plant Biology & Braunschweig Integrated Centre of Systems Biology (BRICS), TU Braunschweig, Braunschweig, Germany
- Author for correspondence: Boas Pucker E-mail:
| | - Iker Irisarri
- Department of Applied Bioinformatics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany
- Campus Institute Data Science (CIDAS), University of Goettingen, Göttingen, Germany
| | - Jan de Vries
- Department of Applied Bioinformatics, Institute for Microbiology and Genetics, University of Goettingen, Göttingen, Germany
- Campus Institute Data Science (CIDAS), University of Goettingen, Göttingen, Germany
- Department of Applied Bioinformatics, Göttingen Center for Molecular Biosciences (GZMB), University of Goettingen, Göttingen, Germany
| | - Bo Xu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
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30
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Heckel DG. Perspectives on gene copy number variation and pesticide resistance. PEST MANAGEMENT SCIENCE 2022; 78:12-18. [PMID: 34480789 DOI: 10.1002/ps.6631] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 07/28/2021] [Accepted: 09/04/2021] [Indexed: 06/13/2023]
Abstract
Although the generation of evolutionary diversity by gene duplication has long been known, the implications for pesticide resistance are just now beginning to be appreciated. A few examples will be cited to illustrate the point that there are many variations on the theme that gene duplication does not follow a set pattern. Transposable elements may facilitate the process but the mechanistic details are obscure and unpredictable. New developments in DNA sequencing technology and genome assembly promise to reveal more examples, yet care must be taken in interpreting the results of transcriptome and genome assemblies and independent means of validation are important. Once a specific gene family is identified, special methods generally must be used to avoid underestimating population polymorphisms and being trapped in preconceptions about the simplicity of the process. © 2021 The Author. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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Affiliation(s)
- David G Heckel
- Max Planck Institute for Chemical Ecology, Jena, Germany
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31
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Jiang X, Zhang W, Fernie AR, Wen W. Combining novel technologies with interdisciplinary basic research to enhance horticultural crops. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2022; 109:35-46. [PMID: 34699639 DOI: 10.1111/tpj.15553] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 10/17/2021] [Accepted: 10/22/2021] [Indexed: 06/13/2023]
Abstract
Horticultural crops mainly include fruits, vegetables, ornamental trees and flowers, and tea trees (Melaleuca alternifolia). They produce a variety of nutrients for the daily human diet in addition to the nutrition provided by staple crops, and some of them additionally possess ornamental and medicinal features. As such, horticultural crops make unique and important contributions to both food security and a colorful lifestyle. Under the current climate change scenario, the growing population and limited arable land means that agriculture, and especially horticulture, has been facing unprecedented challenges to meet the diverse demands of human daily life. Breeding horticultural crops with high quality and adaptability and establishing an effective system that combines cultivation, post-harvest handling, and sales becomes increasingly imperative for horticultural production. This review discusses characteristic and recent research highlights in horticultural crops, focusing on the breeding of quality traits and the mechanisms that underpin them. It additionally addresses challenges and potential solutions in horticultural production and post-harvest practices. Finally, we provide a prospective as to how emerging technologies can be implemented alongside interdisciplinary basic research to enhance our understanding and exploitation of horticultural crops.
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Affiliation(s)
- Xiaohui Jiang
- Key Laboratory of Horticultural Plant Biology (MOE), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, China
- Guangdong Provincial Key Laboratory of Tea Plant Resources Innovation and Utilization, Tea Research Institute, Guangdong Provincial Academy of Agricultural Sciences, Guangzhou, Guangdong, 510640, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Weiyi Zhang
- Key Laboratory of Horticultural Plant Biology (MOE), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, China
| | - Alisdair R Fernie
- Max-Planck-Institute of Molecular Plant Physiology, Am Muehlenberg 1, Potsdam-Golm, 14476, Germany
| | - Weiwei Wen
- Key Laboratory of Horticultural Plant Biology (MOE), College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
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Mansfeld BN, Boyher A, Berry JC, Wilson M, Ou S, Polydore S, Michael TP, Fahlgren N, Bart RS. Large structural variations in the haplotype-resolved African cassava genome. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 108:1830-1848. [PMID: 34661327 PMCID: PMC9299708 DOI: 10.1111/tpj.15543] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/29/2021] [Accepted: 10/06/2021] [Indexed: 05/12/2023]
Abstract
Cassava (Manihot esculenta Crantz, 2n = 36) is a global food security crop. It has a highly heterozygous genome, high genetic load, and genotype-dependent asynchronous flowering. It is typically propagated by stem cuttings and any genetic variation between haplotypes, including large structural variations, is preserved by such clonal propagation. Traditional genome assembly approaches generate a collapsed haplotype representation of the genome. In highly heterozygous plants, this results in artifacts and an oversimplification of heterozygous regions. We used a combination of Pacific Biosciences (PacBio), Illumina, and Hi-C to resolve each haplotype of the genome of a farmer-preferred cassava line, TME7 (Oko-iyawo). PacBio reads were assembled using the FALCON suite. Phase switch errors were corrected using FALCON-Phase and Hi-C read data. The ultralong-range information from Hi-C sequencing was also used for scaffolding. Comparison of the two phases revealed >5000 large haplotype-specific structural variants affecting over 8 Mb, including insertions and deletions spanning thousands of base pairs. The potential of these variants to affect allele-specific expression was further explored. RNA-sequencing data from 11 different tissue types were mapped against the scaffolded haploid assembly and gene expression data are incorporated into our existing easy-to-use web-based interface to facilitate use by the broader plant science community. These two assemblies provide an excellent means to study the effects of heterozygosity, haplotype-specific structural variation, gene hemizygosity, and allele-specific gene expression contributing to important agricultural traits and further our understanding of the genetics and domestication of cassava.
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Affiliation(s)
| | - Adam Boyher
- Donald Danforth Plant Science CenterSt. LouisMO63132USA
| | | | - Mark Wilson
- Donald Danforth Plant Science CenterSt. LouisMO63132USA
| | - Shujun Ou
- Department of Ecology, Evolution, and Organismal BiologyIowa State UniversityAmesIA50011USA
| | - Seth Polydore
- Donald Danforth Plant Science CenterSt. LouisMO63132USA
| | - Todd P. Michael
- The Molecular and Cellular Biology LaboratoryThe Salk Institute for Biological StudiesLa JollaCA92037USA
| | - Noah Fahlgren
- Donald Danforth Plant Science CenterSt. LouisMO63132USA
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Istace B, Belser C, Falentin C, Labadie K, Boideau F, Deniot G, Maillet L, Cruaud C, Bertrand L, Chèvre AM, Wincker P, Rousseau-Gueutin M, Aury JM. Sequencing and Chromosome-Scale Assembly of Plant Genomes, Brassica rapa as a Use Case. BIOLOGY 2021; 10:732. [PMID: 34439964 PMCID: PMC8389630 DOI: 10.3390/biology10080732] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 07/27/2021] [Accepted: 07/28/2021] [Indexed: 11/29/2022]
Abstract
With the rise of long-read sequencers and long-range technologies, delivering high-quality plant genome assemblies is no longer reserved to large consortia. Not only sequencing techniques, but also computer algorithms have reached a point where the reconstruction of assemblies at the chromosome scale is now feasible at the laboratory scale. Current technologies, in particular long-range technologies, are numerous, and selecting the most promising one for the genome of interest is crucial to obtain optimal results. In this study, we resequenced the genome of the yellow sarson, Brassica rapa cv. Z1, using the Oxford Nanopore PromethION sequencer and assembled the sequenced data using current assemblers. To reconstruct complete chromosomes, we used and compared three long-range scaffolding techniques, optical mapping, Omni-C, and Pore-C sequencing libraries, commercialized by Bionano Genomics, Dovetail Genomics, and Oxford Nanopore Technologies, respectively, or a combination of the three, in order to evaluate the capability of each technology.
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Affiliation(s)
- Benjamin Istace
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, 91057 Evry, France; (B.I.); (C.B.); (L.B.); (P.W.)
| | - Caroline Belser
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, 91057 Evry, France; (B.I.); (C.B.); (L.B.); (P.W.)
| | - Cyril Falentin
- IGEPP, INRAE, Institut Agro, Université de Rennes, Domaine de la Motte, 35653 Le Rheu, France; (C.F.); (F.B.); (G.D.); (L.M.); (A.-M.C.); (M.R.-G.)
| | - Karine Labadie
- Genoscope, Institut François Jacob, Commissariat à l’Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, 91057 Evry, France; (K.L.); (C.C.)
| | - Franz Boideau
- IGEPP, INRAE, Institut Agro, Université de Rennes, Domaine de la Motte, 35653 Le Rheu, France; (C.F.); (F.B.); (G.D.); (L.M.); (A.-M.C.); (M.R.-G.)
| | - Gwenaëlle Deniot
- IGEPP, INRAE, Institut Agro, Université de Rennes, Domaine de la Motte, 35653 Le Rheu, France; (C.F.); (F.B.); (G.D.); (L.M.); (A.-M.C.); (M.R.-G.)
| | - Loeiz Maillet
- IGEPP, INRAE, Institut Agro, Université de Rennes, Domaine de la Motte, 35653 Le Rheu, France; (C.F.); (F.B.); (G.D.); (L.M.); (A.-M.C.); (M.R.-G.)
| | - Corinne Cruaud
- Genoscope, Institut François Jacob, Commissariat à l’Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, 91057 Evry, France; (K.L.); (C.C.)
| | - Laurie Bertrand
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, 91057 Evry, France; (B.I.); (C.B.); (L.B.); (P.W.)
| | - Anne-Marie Chèvre
- IGEPP, INRAE, Institut Agro, Université de Rennes, Domaine de la Motte, 35653 Le Rheu, France; (C.F.); (F.B.); (G.D.); (L.M.); (A.-M.C.); (M.R.-G.)
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, 91057 Evry, France; (B.I.); (C.B.); (L.B.); (P.W.)
| | - Mathieu Rousseau-Gueutin
- IGEPP, INRAE, Institut Agro, Université de Rennes, Domaine de la Motte, 35653 Le Rheu, France; (C.F.); (F.B.); (G.D.); (L.M.); (A.-M.C.); (M.R.-G.)
| | - Jean-Marc Aury
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, 91057 Evry, France; (B.I.); (C.B.); (L.B.); (P.W.)
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Dorado G, Gálvez S, Rosales TE, Vásquez VF, Hernández P. Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing - Review. Biomolecules 2021; 11:1111. [PMID: 34439777 PMCID: PMC8393538 DOI: 10.3390/biom11081111] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/12/2021] [Accepted: 07/23/2021] [Indexed: 02/06/2023] Open
Abstract
Recent developments have revolutionized the study of biomolecules. Among them are molecular markers, amplification and sequencing of nucleic acids. The latter is classified into three generations. The first allows to sequence small DNA fragments. The second one increases throughput, reducing turnaround and pricing, and is therefore more convenient to sequence full genomes and transcriptomes. The third generation is currently pushing technology to its limits, being able to sequence single molecules, without previous amplification, which was previously impossible. Besides, this represents a new revolution, allowing researchers to directly sequence RNA without previous retrotranscription. These technologies are having a significant impact on different areas, such as medicine, agronomy, ecology and biotechnology. Additionally, the study of biomolecules is revealing interesting evolutionary information. That includes deciphering what makes us human, including phenomena like non-coding RNA expansion. All this is redefining the concept of gene and transcript. Basic analyses and applications are now facilitated with new genome editing tools, such as CRISPR. All these developments, in general, and nucleic-acid sequencing, in particular, are opening a new exciting era of biomolecule analyses and applications, including personalized medicine, and diagnosis and prevention of diseases for humans and other animals.
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Affiliation(s)
- Gabriel Dorado
- Dep. Bioquímica y Biología Molecular, Campus Rabanales C6-1-E17, Campus de Excelencia Internacional Agroalimentario (ceiA3), Universidad de Córdoba, 14071 Córdoba, Spain
| | - Sergio Gálvez
- Dep. Lenguajes y Ciencias de la Computación, Boulevard Louis Pasteur 35, Universidad de Málaga, 29071 Málaga, Spain;
| | - Teresa E. Rosales
- Laboratorio de Arqueobiología, Avda. Universitaria s/n, Universidad Nacional de Trujillo, 13011 Trujillo, Peru;
| | - Víctor F. Vásquez
- Centro de Investigaciones Arqueobiológicas y Paleoecológicas Andinas Arqueobios, Martínez de Companón 430-Bajo 100, Urbanización San Andres, 13088 Trujillo, Peru;
| | - Pilar Hernández
- Instituto de Agricultura Sostenible (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Alameda del Obispo s/n, 14080 Córdoba, Spain;
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Mascher M, Wicker T, Jenkins J, Plott C, Lux T, Koh CS, Ens J, Gundlach H, Boston LB, Tulpová Z, Holden S, Hernández-Pinzón I, Scholz U, Mayer KFX, Spannagl M, Pozniak CJ, Sharpe AG, Šimková H, Moscou MJ, Grimwood J, Schmutz J, Stein N. Long-read sequence assembly: a technical evaluation in barley. THE PLANT CELL 2021; 33:1888-1906. [PMID: 33710295 PMCID: PMC8290290 DOI: 10.1093/plcell/koab077] [Citation(s) in RCA: 139] [Impact Index Per Article: 46.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 02/28/2021] [Indexed: 05/19/2023]
Abstract
Sequence assembly of large and repeat-rich plant genomes has been challenging, requiring substantial computational resources and often several complementary sequence assembly and genome mapping approaches. The recent development of fast and accurate long-read sequencing by circular consensus sequencing (CCS) on the PacBio platform may greatly increase the scope of plant pan-genome projects. Here, we compare current long-read sequencing platforms regarding their ability to rapidly generate contiguous sequence assemblies in pan-genome studies of barley (Hordeum vulgare). Most long-read assemblies are clearly superior to the current barley reference sequence based on short-reads. Assemblies derived from accurate long reads excel in most metrics, but the CCS approach was the most cost-effective strategy for assembling tens of barley genomes. A downsampling analysis indicated that 20-fold CCS coverage can yield very good sequence assemblies, while even five-fold CCS data may capture the complete sequence of most genes. We present an updated reference genome assembly for barley with near-complete representation of the repeat-rich intergenic space. Long-read assembly can underpin the construction of accurate and complete sequences of multiple genomes of a species to build pan-genome infrastructures in Triticeae crops and their wild relatives.
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Affiliation(s)
- Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Seeland 06466, Germany
- German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Leipzig 04103, Germany
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zürich, Zürich 8008, Switzerland
| | - Jerry Jenkins
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806
| | | | - Thomas Lux
- PGSB–Plant Genome and Systems Biology, Helmholtz Center Munich–German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Chu Shin Koh
- Global Institute for Food Security, University of Saskatchewan, Saskatoon SK S7N 4L8, Canada
| | - Jennifer Ens
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon SK S7N 5A8, Canada
| | - Heidrun Gundlach
- PGSB–Plant Genome and Systems Biology, Helmholtz Center Munich–German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Lori B Boston
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806
| | - Zuzana Tulpová
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc 78371, Czech Republic
| | - Samuel Holden
- The Sainsbury Laboratory, University of East Anglia, Norwich NR4 7UH, UK
| | | | - Uwe Scholz
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Seeland 06466, Germany
| | - Klaus F X Mayer
- PGSB–Plant Genome and Systems Biology, Helmholtz Center Munich–German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Manuel Spannagl
- PGSB–Plant Genome and Systems Biology, Helmholtz Center Munich–German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Curtis J Pozniak
- Department of Plant Sciences, Crop Development Centre, University of Saskatchewan, Saskatoon SK S7N 5A8, Canada
| | - Andrew G Sharpe
- Global Institute for Food Security, University of Saskatchewan, Saskatoon SK S7N 4L8, Canada
| | - Hana Šimková
- Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc 78371, Czech Republic
| | - Matthew J Moscou
- The Sainsbury Laboratory, University of East Anglia, Norwich NR4 7UH, UK
| | - Jane Grimwood
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806
| | - Jeremy Schmutz
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Seeland 06466, Germany
- Center for Integrated Breeding Research (CiBreed), Georg-August-University Göttingen, Göttingen 37073, Germany
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36
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Groppi A, Liu S, Cornille A, Decroocq S, Bui QT, Tricon D, Cruaud C, Arribat S, Belser C, Marande W, Salse J, Huneau C, Rodde N, Rhalloussi W, Cauet S, Istace B, Denis E, Carrère S, Audergon JM, Roch G, Lambert P, Zhebentyayeva T, Liu WS, Bouchez O, Lopez-Roques C, Serre RF, Debuchy R, Tran J, Wincker P, Chen X, Pétriacq P, Barre A, Nikolski M, Aury JM, Abbott AG, Giraud T, Decroocq V. Population genomics of apricots unravels domestication history and adaptive events. Nat Commun 2021; 12:3956. [PMID: 34172741 PMCID: PMC8233370 DOI: 10.1038/s41467-021-24283-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 06/08/2021] [Indexed: 01/27/2023] Open
Abstract
Among crop fruit trees, the apricot (Prunus armeniaca) provides an excellent model to study divergence and adaptation processes. Here, we obtain nearly 600 Armeniaca apricot genomes and four high-quality assemblies anchored on genetic maps. Chinese and European apricots form two differentiated gene pools with high genetic diversity, resulting from independent domestication events from distinct wild Central Asian populations, and with subsequent gene flow. A relatively low proportion of the genome is affected by selection. Different genomic regions show footprints of selection in European and Chinese cultivated apricots, despite convergent phenotypic traits, with predicted functions in both groups involved in the perennial life cycle, fruit quality and disease resistance. Selection footprints appear more abundant in European apricots, with a hotspot on chromosome 4, while admixture is more pervasive in Chinese cultivated apricots. Our study provides clues to the biology of selected traits and targets for fruit tree research and breeding.
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Affiliation(s)
- Alexis Groppi
- Univ. Bordeaux, Centre de Bioinformatique de Bordeaux (CBiB), Bordeaux, 33076, France
- Univ. Bordeaux, CNRS, IBGC, UMR 5095, Bordeaux, 33077, France
| | - Shuo Liu
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France
- Liaoning Institute of Pomology, Tiedong Street, Xiongyue, Bayuquan District, Yingkou City, 115009, Liaoning, China
| | - Amandine Cornille
- Université Paris Saclay, INRAE, CNRS, AgroParisTech, UMR GQE-Le Moulon, Gif-sur-Yvette, 91190, France
| | - Stéphane Decroocq
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France
| | - Quynh Trang Bui
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France
| | - David Tricon
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France
| | - Corinne Cruaud
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - Sandrine Arribat
- French Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France
| | - Caroline Belser
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - William Marande
- French Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France
| | - Jérôme Salse
- INRAE/UBP UMR 1095 GDEC Genetique, Diversite et Ecophysiologie des Cereales, Laboratory PaleoEVO Paleogenomics & Evolution, 5 Chemin de Beaulieu, Clermont Ferrand, 63100, France
| | - Cécile Huneau
- INRAE/UBP UMR 1095 GDEC Genetique, Diversite et Ecophysiologie des Cereales, Laboratory PaleoEVO Paleogenomics & Evolution, 5 Chemin de Beaulieu, Clermont Ferrand, 63100, France
| | - Nathalie Rodde
- French Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France
| | - Wassim Rhalloussi
- French Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France
| | - Stéphane Cauet
- French Plant Genomic Resource Center, INRAE-CNRGV, Castanet Tolosan, France
| | - Benjamin Istace
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - Erwan Denis
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - Sébastien Carrère
- LIPME, Université de Toulouse, INRAE, CNRS, Castanet-Tolosan, France
| | - Jean-Marc Audergon
- INRAE UR1052 GAFL, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Guillaume Roch
- INRAE UR1052 GAFL, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
- CEP INNOVATION, 23 Rue Jean Baldassini, Lyon, 69364, Cedex 07, France
| | - Patrick Lambert
- INRAE UR1052 GAFL, Domaine Saint Maurice, CS60094, Montfavet, 84143, France
| | - Tetyana Zhebentyayeva
- The Schatz Center for Tree Molecular Genetics, Department of Ecosystem Science and Management, The Pennsylvania State University, University Park, 16802, PA, USA
| | - Wei-Sheng Liu
- Liaoning Institute of Pomology, Tiedong Street, Xiongyue, Bayuquan District, Yingkou City, 115009, Liaoning, China
| | - Olivier Bouchez
- INRAE, US 1426, GeT-PlaGe, Genotoul, Castanet-Tolosan, 31326, France
| | | | - Rémy-Félix Serre
- INRAE, US 1426, GeT-PlaGe, Genotoul, Castanet-Tolosan, 31326, France
| | - Robert Debuchy
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, 91198, France
| | - Joseph Tran
- EGFV, Bordeaux Sciences Agro, INRAE, Univ. Bordeaux, ISVV, Villenave d'Ornon, 33882, France
| | - Patrick Wincker
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - Xilong Chen
- Université Paris Saclay, INRAE, CNRS, AgroParisTech, UMR GQE-Le Moulon, Gif-sur-Yvette, 91190, France
| | - Pierre Pétriacq
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France
| | - Aurélien Barre
- Univ. Bordeaux, Centre de Bioinformatique de Bordeaux (CBiB), Bordeaux, 33076, France
| | - Macha Nikolski
- Univ. Bordeaux, Centre de Bioinformatique de Bordeaux (CBiB), Bordeaux, 33076, France
- Univ. Bordeaux, CNRS, IBGC, UMR 5095, Bordeaux, 33077, France
| | - Jean-Marc Aury
- Genoscope, Institut François Jacob, Commissariat à l'Energie Atomique (CEA), Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
- Génomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, Evry, 91057, France
| | - Albert Glenn Abbott
- Forest Health Research and Education Center, University of Kentucky, Lexington, KY, USA
| | - Tatiana Giraud
- Ecologie Systématique et Evolution, CNRS, Université Paris-Saclay AgroParisTech, Orsay, 91400, France.
| | - Véronique Decroocq
- Univ. Bordeaux, INRAE, UMR 1332 Biologie du Fruit et Pathologie, 71 Av. E. Bourlaux, Villenave d'Ornon, 33140, France.
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Lyu R, Tsui V, McCarthy DJ, Crismani W. Personalized genome structure via single gamete sequencing. Genome Biol 2021; 22:112. [PMID: 33874978 PMCID: PMC8054432 DOI: 10.1186/s13059-021-02327-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 03/25/2021] [Indexed: 12/13/2022] Open
Abstract
Genetic maps have been fundamental to building our understanding of disease genetics and evolutionary processes. The gametes of an individual contain all of the information required to perform a de novo chromosome-scale assembly of an individual's genome, which historically has been performed with populations and pedigrees. Here, we discuss how single-cell gamete sequencing offers the potential to merge the advantages of short-read sequencing with the ability to build personalized genetic maps and open up an entirely new space in personalized genetics.
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Affiliation(s)
- Ruqian Lyu
- Bioinformatics and Cellular Genomics, St. Vincent's Institute of Medical Research, Melbourne, Australia
- Melbourne Integrative Genomics, Faculty of Science, The University of Melbourne, Melbourne, Australia
| | - Vanessa Tsui
- DNA Repair and Recombination Laboratory, St. Vincent's Institute of Medical Research, Melbourne, Australia
- The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Melbourne, Australia
| | - Davis J McCarthy
- Bioinformatics and Cellular Genomics, St. Vincent's Institute of Medical Research, Melbourne, Australia.
- Melbourne Integrative Genomics, Faculty of Science, The University of Melbourne, Melbourne, Australia.
| | - Wayne Crismani
- DNA Repair and Recombination Laboratory, St. Vincent's Institute of Medical Research, Melbourne, Australia.
- The Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, Melbourne, Australia.
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