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Li Y, Tan C, Li Z, Guo J, Li S, Chen X, Wang C, Dai X, Yang H, Song W, Hou L, Xu J, Tong Z, Xu A, Yuan X, Wang W, Yang Q, Chen L, Sun Z, Wang K, Pan B, Chen J, Bao Y, Liu F, Qi X, Gang DR, Wen J, Li J. The genome of Dioscorea zingiberensis sheds light on the biosynthesis, origin and evolution of the medicinally important diosgenin saponins. HORTICULTURE RESEARCH 2022; 9:uhac165. [PMID: 36204203 PMCID: PMC9531337 DOI: 10.1093/hr/uhac165] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 07/18/2022] [Indexed: 05/05/2023]
Abstract
Diosgenin saponins isolated from Dioscorea species such as D. zingiberensis exhibit a broad spectrum of pharmacological activities. Diosgenin, the aglycone of diosgenin saponins, is an important starting material for the production of steroidal drugs. However, how plants produce diosgenin saponins and the origin and evolution of the diosgenin saponin biosynthetic pathway remain a mystery. Here we report a high-quality, 629-Mb genome of D. zingiberensis anchored on 10 chromosomes with 30 322 protein-coding genes. We reveal that diosgenin is synthesized in leaves ('source'), then converted into diosgenin saponins, and finally transported to rhizomes ('sink') for storage in plants. By evaluating the distribution and evolutionary patterns of diosgenin saponins in Dioscorea species, we find that diosgenin saponin-containing may be an ancestral trait in Dioscorea and is selectively retained. The results of comparative genomic analysis indicate that tandem duplication coupled with a whole-genome duplication event provided key evolutionary resources for the diosgenin saponin biosynthetic pathway in the D. zingiberensis genome. Furthermore, comparative transcriptome and metabolite analysis among 13 Dioscorea species suggests that specific gene expression patterns of pathway genes promote the differential evolution of the diosgenin saponin biosynthetic pathway in Dioscorea species. Our study provides important insights and valuable resources for further understanding the biosynthesis, evolution, and utilization of plant specialized metabolites such as diosgenin saponins.
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Affiliation(s)
- Yi Li
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Chao Tan
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Zihao Li
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Jingzhe Guo
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Song Li
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Xin Chen
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Chen Wang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Xiaokang Dai
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Huan Yang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Wei Song
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Lixiu Hou
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Jiali Xu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Ziyu Tong
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Anran Xu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Xincheng Yuan
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Weipeng Wang
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, 430072, China
| | - Qingyong Yang
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Lingling Chen
- College of Life Science and Technology, Guangxi University, Nanning, 530004, China
| | - Zongyi Sun
- Grandomics Biosciences, Beijing 102200, China
| | - Kai Wang
- Grandomics Biosciences, Beijing 102200, China
| | - Bo Pan
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, 666303, China
| | - Jianghua Chen
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, CAS Center for Excellence in Molecular Plant Sciences, Xishuangbanna Tropical Botanical Garden, Kunming, 650223, China
| | - Yinghua Bao
- Henry Fok College of Biology and Agriculture, Shaoguan University, Shaoguan, 512005, China
| | - Faguang Liu
- Henry Fok College of Biology and Agriculture, Shaoguan University, Shaoguan, 512005, China
| | - Xiaoquan Qi
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - David R Gang
- Institute of Biological Chemistry, Washington State University, Pullman, WA, 99164, USA
| | - Jun Wen
- Department of Botany, National Museum of Natural History, Smithsonian Institution, Washington, DC, 20013-7012, USA
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Birth and Death of LTR-Retrotransposons in Aegilops tauschii. Genetics 2018; 210:1039-1051. [PMID: 30158124 DOI: 10.1534/genetics.118.301198] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 08/20/2018] [Indexed: 11/18/2022] Open
Abstract
Long terminal repeat-retrotransposons (LTR-RTs) are a major component of all flowering plant genomes. To analyze the time dynamics of LTR-RTs, we modeled the insertion rates of the 35 most abundant LTR-RT families in the genome of Aegilops tauschii, one of the progenitors of wheat. Our model of insertion rate (birth) takes into account random variation in LTR divergence and the deletion rate (death) of LTR-RTs. Modeling the death rate is crucial because ignoring it would underestimate insertion rates in the distant past. We rejected the hypothesis of constancy of insertion rates for all 35 families and showed by simulations that our hypothesis test controlled the false-positive rate. LTR-RT insertions peaked from 0.064 to 2.39 MYA across the 35 families. Among other effects, the average age of elements within a family was negatively associated with recombination rate along a chromosome, with proximity to the closest gene, and weakly associated with the proximity to its 5' end. Elements within a family that were near genes colinear with genes in the genome of tetraploid emmer wheat tended to be younger than those near noncolinear genes. We discuss these associations in the context of genome evolution and stability of genome sizes in the tribe Triticeae. We demonstrate the general utility of our models by analyzing the two most abundant LTR-RT families in Arabidopsis lyrata, and show that these families differed in their insertion dynamics. Our estimation methods are available in the R package TE on CRAN.
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Scholthof KBG, Irigoyen S, Catalan P, Mandadi KK. Brachypodium: A Monocot Grass Model Genus for Plant Biology. THE PLANT CELL 2018; 30:1673-1694. [PMID: 29997238 PMCID: PMC6139682 DOI: 10.1105/tpc.18.00083] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Revised: 05/25/2018] [Accepted: 07/11/2018] [Indexed: 05/21/2023]
Abstract
The genus Brachypodium represents a model system that is advancing our knowledge of the biology of grasses, including small grains, in the postgenomics era. The most widely used species, Brachypodium distachyon, is a C3 plant that is distributed worldwide. B. distachyon has a small genome, short life cycle, and small stature and is amenable to genetic transformation. Due to the intensive and thoughtful development of this grass as a model organism, it is well-suited for laboratory and field experimentation. The intent of this review is to introduce this model system genus and describe some key outcomes of nearly a decade of research since the first draft genome sequence of the flagship species, B. distachyon, was completed. We discuss characteristics and features of B. distachyon and its congeners that make the genus a valuable model system for studies in ecology, evolution, genetics, and genomics in the grasses, review current hot topics in Brachypodium research, and highlight the potential for future analysis using this system in the coming years.
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Affiliation(s)
- Karen-Beth G Scholthof
- Department of Plant Pathology and Microbiology, Texas A&M University, College Station, Texas 77843
| | - Sonia Irigoyen
- Texas A&M AgriLife Research and Extension Center, Weslaco, Texas 78596
| | - Pilar Catalan
- Universidad de Zaragoza-Escuela Politécnica Superior de Huesca, 22071 Huesca, Spain
- Grupo de Bioquímica, Biofísica y Biología Computacional (BIFI, UNIZAR), Unidad Asociada al CSIC, Zaragoza E-50059, Spain
- Institute of Biology, Tomsk State University, Tomsk 634050, Russia
| | - Kranthi K Mandadi
- Department of Plant Pathology and Microbiology, Texas A&M University, College Station, Texas 77843
- Texas A&M AgriLife Research and Extension Center, Weslaco, Texas 78596
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Genome sequence of the progenitor of the wheat D genome Aegilops tauschii. Nature 2017; 551:498-502. [PMID: 29143815 PMCID: PMC7416625 DOI: 10.1038/nature24486] [Citation(s) in RCA: 413] [Impact Index Per Article: 51.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2016] [Accepted: 10/09/2017] [Indexed: 12/20/2022]
Abstract
A combination of advanced sequencing and mapping techniques is used to produce a reference genome of Aegilops tauschii, progenitor of the wheat D genome, providing a valuable resource for comparative genetic studies. Sequencing the genomes of crops plants provides useful resources for crop improvement and breeding. Jan Dvořák, Katrien Devos, Steven Salzberg and colleagues report a reference genome for Aegilops tauschii, the diploid progenitor of the D genome of hexaploid wheat. They use a combination of ordered-clone genome sequencing, whole-genome shotgun sequencing and BioNano optical genome mapping to assemble this large and highly repetitive genome. This provides a useful resource for comparative genomics studies of wheat. Aegilops tauschii is the diploid progenitor of the D genome of hexaploid wheat1 (Triticum aestivum, genomes AABBDD) and an important genetic resource for wheat2,3,4. The large size and highly repetitive nature of the Ae. tauschii genome has until now precluded the development of a reference-quality genome sequence5. Here we use an array of advanced technologies, including ordered-clone genome sequencing, whole-genome shotgun sequencing, and BioNano optical genome mapping, to generate a reference-quality genome sequence for Ae. tauschii ssp. strangulata accession AL8/78, which is closely related to the wheat D genome. We show that compared to other sequenced plant genomes, including a much larger conifer genome, the Ae. tauschii genome contains unprecedented amounts of very similar repeated sequences. Our genome comparisons reveal that the Ae. tauschii genome has a greater number of dispersed duplicated genes than other sequenced genomes and its chromosomes have been structurally evolving an order of magnitude faster than those of other grass genomes. The decay of colinearity with other grass genomes correlates with recombination rates along chromosomes. We propose that the vast amounts of very similar repeated sequences cause frequent errors in recombination and lead to gene duplications and structural chromosome changes that drive fast genome evolution.
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Hidalgo O, Pellicer J, Christenhusz M, Schneider H, Leitch AR, Leitch IJ. Is There an Upper Limit to Genome Size? TRENDS IN PLANT SCIENCE 2017; 22:567-573. [PMID: 28506667 DOI: 10.1016/j.tplants.2017.04.005] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 04/03/2017] [Accepted: 04/05/2017] [Indexed: 05/08/2023]
Abstract
At 50-fold the size of the human genome (3 Gb), the staggeringly huge genome of 147.3 Gb recently discovered in the fern Tmesipteris obliqua is comparable in size to those of the other plant and animal record-holders (i.e., Paris japonica, a flowering plant with a genome size of 148.8 Gb, and Protopterus aethiopicus, a lungfish with a genome of 130 Gb). The synthesis of available information on giant genomes suggests that the biological limit to genome size expansion in eukaryotes may have been reached. We propose several explanations for why the genomes of ferns, flowering plants, and lungfish, all of which have independently undergone dramatic increases in genome size through a variety of mechanisms, do not exceed 150 Gb.
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Affiliation(s)
| | | | | | - Harald Schneider
- Department of Life Sciences, Natural History Museum, London W7 5BD, UK; Xishuangbanna Tropical Botanical Garden, Centre for Integrative Conservation, Chinese Academy of Sciences, Menglun, Mengla, Yunnan, PR China
| | - Andrew R Leitch
- School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK
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6
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Rapid cloning of genes in hexaploid wheat using cultivar-specific long-range chromosome assembly. Nat Biotechnol 2017; 35:793-796. [PMID: 28504667 DOI: 10.1038/nbt.3877] [Citation(s) in RCA: 125] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 04/11/2017] [Indexed: 11/08/2022]
Abstract
Cereal crops such as wheat and maize have large repeat-rich genomes that make cloning of individual genes challenging. Moreover, gene order and gene sequences often differ substantially between cultivars of the same crop species. A major bottleneck for gene cloning in cereals is the generation of high-quality sequence information from a cultivar of interest. In order to accelerate gene cloning from any cropping line, we report 'targeted chromosome-based cloning via long-range assembly' (TACCA). TACCA combines lossless genome-complexity reduction via chromosome flow sorting with Chicago long-range linkage to assemble complex genomes. We applied TACCA to produce a high-quality (N50 of 9.76 Mb) de novo chromosome assembly of the wheat line CH Campala Lr22a in only 4 months. Using this assembly we cloned the broad-spectrum Lr22a leaf-rust resistance gene, using molecular marker information and ethyl methanesulfonate (EMS) mutants, and found that Lr22a encodes an intracellular immune receptor homologous to the Arabidopsis thaliana RPM1 protein.
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7
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Genetic and physical mapping of the earliness per se locus Eps-A (m) 1 in Triticum monococcum identifies EARLY FLOWERING 3 (ELF3) as a candidate gene. Funct Integr Genomics 2016; 16:365-82. [PMID: 27085709 PMCID: PMC4947483 DOI: 10.1007/s10142-016-0490-3] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 03/26/2016] [Accepted: 03/29/2016] [Indexed: 11/18/2022]
Abstract
Wheat cultivars exposed to optimal photoperiod and vernalization treatments still exhibit differences in flowering time, referred to as earliness per se (Eps). We previously identified the Eps-Am1 locus from Triticum monococcum and showed that the allele from cultivated accession DV92 significantly delays heading time and increases the number of spikelets per spike relative to the allele from wild accession G3116. Here, we expanded a high-density genetic and physical map of the Eps-Am1 region and identified the wheat ortholog of circadian clock regulator EARLY FLOWERING 3 (ELF3) as a candidate gene. No differences in ELF3 transcript levels were found between near-isogenic lines carrying the DV92 and G3116 Eps-Am1 alleles, but the encoded ELF3 proteins differed in four amino acids. These differences were associated with altered transcription profiles of PIF-like, PPD1, and FT1, which are known downstream targets of ELF3. Tetraploid wheat lines with combined truncation mutations in the A- and B-genome copies of ELF3 flowered earlier and had less spikelets per spike than the wild-type control under short- and long-day conditions. Both effects were stronger in a photoperiod-sensitive than in a reduced photoperiod-sensitive background, indicating a significant epistatic interaction between PPD1 and ELF3 (P < 0.0001). By contrast, the introgression of the T. monococcum chromosome segment carrying the Eps-Am1 allele from DV92 into durum wheat delayed flowering and increased the number of spikelets per spike. Taken together, the above results support the hypothesis that ELF3 is Eps-Am1. The ELF3 alleles identified here provide additional tools to modulate reproductive development in wheat.
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8
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Dodsworth S, Leitch AR, Leitch IJ. Genome size diversity in angiosperms and its influence on gene space. Curr Opin Genet Dev 2015; 35:73-8. [PMID: 26605684 DOI: 10.1016/j.gde.2015.10.006] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 10/28/2015] [Accepted: 10/28/2015] [Indexed: 01/02/2023]
Abstract
Genome size varies c. 2400-fold in angiosperms (flowering plants), although the range of genome size is skewed towards small genomes, with a mean genome size of 1C=5.7Gb. One of the most crucial factors governing genome size in angiosperms is the relative amount and activity of repetitive elements. Recently, there have been new insights into how these repeats, previously discarded as 'junk' DNA, can have a significant impact on gene space (i.e. the part of the genome comprising all the genes and gene-related DNA). Here we review these new findings and explore in what ways genome size itself plays a role in influencing how repeats impact genome dynamics and gene space, including gene expression.
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Affiliation(s)
- Steven Dodsworth
- School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK
| | - Andrew R Leitch
- School of Biological and Chemical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK
| | - Ilia J Leitch
- Department of Comparative Plant and Fungal Biology, Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3DS, UK.
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9
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Barabaschi D, Magni F, Volante A, Gadaleta A, Šimková H, Scalabrin S, Prazzoli ML, Bagnaresi P, Lacrima K, Michelotti V, Desiderio F, Orrù L, Mazzamurro V, Fricano A, Mastrangelo A, Tononi P, Vitulo N, Jurman I, Frenkel Z, Cattonaro F, Morgante M, Blanco A, Doležel J, Delledonne M, Stanca AM, Cattivelli L, Valè G. Physical Mapping of Bread Wheat Chromosome 5A: An Integrated Approach. THE PLANT GENOME 2015; 8:eplantgenome2015.03.0011. [PMID: 33228274 DOI: 10.3835/plantgenome2015.03.0011] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 06/21/2015] [Indexed: 06/11/2023]
Abstract
The huge size, redundancy, and highly repetitive nature of the bread wheat [Triticum aestivum (L.)] genome, makes it among the most difficult species to be sequenced. To overcome these limitations, a strategy based on the separation of individual chromosomes or chromosome arms and the subsequent production of physical maps was established within the frame of the International Wheat Genome Sequence Consortium (IWGSC). A total of 95,812 bacterial artificial chromosome (BAC) clones of short-arm chromosome 5A (5AS) and long-arm chromosome 5A (5AL) arm-specific BAC libraries were fingerprinted and assembled into contigs by complementary analytical approaches based on the FingerPrinted Contig (FPC) and Linear Topological Contig (LTC) tools. Combined anchoring approaches based on polymerase chain reaction (PCR) marker screening, microarray, and sequence homology searches applied to several genomic tools (i.e., genetic maps, deletion bin map, neighbor maps, BAC end sequences (BESs), genome zipper, and chromosome survey sequences) allowed the development of a high-quality physical map with an anchored physical coverage of 75% for 5AS and 53% for 5AL with high portions (64 and 48%, respectively) of contigs ordered along the chromosome. In the genome of grasses, Brachypodium [Brachypodium distachyon (L.) Beauv.], rice (Oryza sativa L.), and sorghum [Sorghum bicolor (L.) Moench] homologs of genes on wheat chromosome 5A were separated into syntenic blocks on different chromosomes as a result of translocations and inversions during evolution. The physical map presented represents an essential resource for fine genetic mapping and map-based cloning of agronomically relevant traits and a reference for the 5A sequencing projects.
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Affiliation(s)
- Delfina Barabaschi
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
| | | | - Andrea Volante
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
| | - Agata Gadaleta
- Dep. of Soil, Plant and Food Sciences, Section of Genetic and Plant Breeding, Univ. of Bari, Bari, I-70126
| | - Hana Šimková
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, CZ-77200
| | | | - Maria Lucia Prazzoli
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
| | - Paolo Bagnaresi
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
| | - Katia Lacrima
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
| | - Vania Michelotti
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
| | - Francesca Desiderio
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
| | - Luigi Orrù
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
| | - Valentina Mazzamurro
- Dep. of Life Sciences, Univ. of Modena and Reggio Emilia, Reggio Emilia, I-42100
| | | | - AnnaMaria Mastrangelo
- Council for Agricultural Research and Economics (CREA)-Cereal Research Centre, Foggia, I-71122
| | - Paola Tononi
- Dep. of Biotechnology, Univ. of Verona, Verona, I-37129
| | - Nicola Vitulo
- CRIBI Biotechnology Center, Univ. of Padova, Padova, I-35121
| | | | - Zeev Frenkel
- Institute of Evolution and Dep. of Evolutionary and Environmental Biology, Univ. of Haifa, Haifa, IL-3498838
| | | | | | - Antonio Blanco
- Dep. of Soil, Plant and Food Sciences, Section of Genetic and Plant Breeding, Univ. of Bari, Bari, I-70126
| | - Jaroslav Doležel
- Institute of Experimental Botany, Centre of the Region Haná for Biotechnological and Agricultural Research, Olomouc, CZ-77200
| | | | - Antonio M Stanca
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
- Dep. of Life Sciences, Univ. of Modena and Reggio Emilia, Reggio Emilia, I-42100
| | - Luigi Cattivelli
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
| | - Giampiero Valè
- Council for Agricultural Research and Economics (CREA)-Genomics Research Centre, Fiorenzuola d'Arda, Piacenza, I-29017
- Council for Agricultural Research and Economics (CREA)-Rice Research Unit, Vercelli, I-13100
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10
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Muñoz-Amatriaín M, Lonardi S, Luo M, Madishetty K, Svensson JT, Moscou MJ, Wanamaker S, Jiang T, Kleinhofs A, Muehlbauer GJ, Wise RP, Stein N, Ma Y, Rodriguez E, Kudrna D, Bhat PR, Chao S, Condamine P, Heinen S, Resnik J, Wing R, Witt HN, Alpert M, Beccuti M, Bozdag S, Cordero F, Mirebrahim H, Ounit R, Wu Y, You F, Zheng J, Simková H, Dolezel J, Grimwood J, Schmutz J, Duma D, Altschmied L, Blake T, Bregitzer P, Cooper L, Dilbirligi M, Falk A, Feiz L, Graner A, Gustafson P, Hayes PM, Lemaux P, Mammadov J, Close TJ. Sequencing of 15 622 gene-bearing BACs clarifies the gene-dense regions of the barley genome. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2015; 84:216-27. [PMID: 26252423 PMCID: PMC5014227 DOI: 10.1111/tpj.12959] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Revised: 07/15/2015] [Accepted: 07/24/2015] [Indexed: 05/18/2023]
Abstract
Barley (Hordeum vulgare L.) possesses a large and highly repetitive genome of 5.1 Gb that has hindered the development of a complete sequence. In 2012, the International Barley Sequencing Consortium released a resource integrating whole-genome shotgun sequences with a physical and genetic framework. However, because only 6278 bacterial artificial chromosome (BACs) in the physical map were sequenced, fine structure was limited. To gain access to the gene-containing portion of the barley genome at high resolution, we identified and sequenced 15 622 BACs representing the minimal tiling path of 72 052 physical-mapped gene-bearing BACs. This generated ~1.7 Gb of genomic sequence containing an estimated 2/3 of all Morex barley genes. Exploration of these sequenced BACs revealed that although distal ends of chromosomes contain most of the gene-enriched BACs and are characterized by high recombination rates, there are also gene-dense regions with suppressed recombination. We made use of published map-anchored sequence data from Aegilops tauschii to develop a synteny viewer between barley and the ancestor of the wheat D-genome. Except for some notable inversions, there is a high level of collinearity between the two species. The software HarvEST:Barley provides facile access to BAC sequences and their annotations, along with the barley-Ae. tauschii synteny viewer. These BAC sequences constitute a resource to improve the efficiency of marker development, map-based cloning, and comparative genomics in barley and related crops. Additional knowledge about regions of the barley genome that are gene-dense but low recombination is particularly relevant.
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Affiliation(s)
- María Muñoz-Amatriaín
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
| | - Stefano Lonardi
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
| | - MingCheng Luo
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
| | - Kavitha Madishetty
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
| | - Jan T Svensson
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
- Nordic Genetic Resource Center, SE-23053, Alnarp, Sweden
| | - Matthew J Moscou
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
- The Sainsbury Laboratory, Norwich Research Park, Norwich, NR4 7UH, UK
| | - Steve Wanamaker
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
| | - Tao Jiang
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
| | - Andris Kleinhofs
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA
| | - Gary J Muehlbauer
- Department of Plant Biology, Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA
| | - Roger P Wise
- Corn Insects and Crop Genetics Research, USDA-Agricultural Research Service & Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA, 50011-1020, USA
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), D-06466, Gatersleben, Germany
| | - Yaqin Ma
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
- Molefarming Laboratory USA, Davis, CA, 95616, USA
| | - Edmundo Rodriguez
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
- Departamento de Ciencias Basicas, Universidad Autonoma Agraria Antonio Narro, Narro 1923, Saltillo, Coah, 25315, México
| | - Dave Kudrna
- Arizona Genomics Institute, University of Arizona, Tucson, AZ, 85721, USA
| | - Prasanna R Bhat
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
- Monsanto Research Center, Bangalore, 560092, India
| | - Shiaoman Chao
- USDA-ARS Biosciences Research Lab, Fargo, ND, 58105, USA
| | - Pascal Condamine
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
| | - Shane Heinen
- Department of Plant Biology, Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, 55108, USA
| | - Josh Resnik
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
- Ronald Reagan UCLA Medical Center, Los Angeles, CA, 90095, USA
| | - Rod Wing
- Arizona Genomics Institute, University of Arizona, Tucson, AZ, 85721, USA
| | - Heather N Witt
- Department of Plant Sciences, University of California, Davis, CA, 95616, USA
- Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA
| | - Matthew Alpert
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
- Turtle Rock Studios, Lake Forest, CA, 92630, USA
| | - Marco Beccuti
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
- Department of Computer Science, University of Turin, Corso Svizzera 185, 10149, Turin, Italy
| | - Serdar Bozdag
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
- Deptartment of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, WI, 53233, USA
| | - Francesca Cordero
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
- Department of Computer Science, University of Turin, Corso Svizzera 185, 10149, Turin, Italy
| | - Hamid Mirebrahim
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
| | - Rachid Ounit
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
| | - Yonghui Wu
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
- Google Inc., Mountain View, CA, 94043, USA
| | - Frank You
- USDA-ARS, Albany, CA, 94710, USA
- Agriculture and Agri-Food Canada, Morden, MB, R6M 1Y5, Canada
| | - Jie Zheng
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
- School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore
| | - Hana Simková
- Centre of the Region Hana for Biotechnological and Agricultural Research, Institute of Experimental Botany, Sokolovskį 6, CZ-77200, Olomouc, Czech Republic
| | - Jaroslav Dolezel
- Centre of the Region Hana for Biotechnological and Agricultural Research, Institute of Experimental Botany, Sokolovskį 6, CZ-77200, Olomouc, Czech Republic
| | - Jane Grimwood
- Hudson Alpha Genome Sequencing Center, DOE Joint Genome Institute, Huntsville, AL, 35806, USA
- US Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Jeremy Schmutz
- Hudson Alpha Genome Sequencing Center, DOE Joint Genome Institute, Huntsville, AL, 35806, USA
- US Department of Energy Joint Genome Institute, Walnut Creek, CA, 94598, USA
| | - Denisa Duma
- Department of Computer Science, University of California, Riverside, CA, 92521, USA
- Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Houston, TX, 77030, USA
| | - Lothar Altschmied
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), D-06466, Gatersleben, Germany
| | - Tom Blake
- Department of Plant Sciences & Plant Pathology, Montana State University, Bozeman, MT, 59717-3150, USA
| | | | - Laurel Cooper
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR, 97331, USA
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, 97331, USA
| | - Muharrem Dilbirligi
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA
- International Cooperation Department, The Scientific and Technological Research Council of Turkey, Tunus cad. No: 80, 06100, Kavaklidere, Ankara, Turkey
| | - Anders Falk
- Swedish University of Agricultural Sciences, SE-750 07, Uppsala, Sweden
| | - Leila Feiz
- Department of Plant Sciences & Plant Pathology, Montana State University, Bozeman, MT, 59717-3150, USA
- Boyce Thompson Institute for Plant Research, Cornell University, 533 Tower Road, Ithaca, NY, 14853-1801, USA
| | - Andreas Graner
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), D-06466, Gatersleben, Germany
| | | | - Patrick M Hayes
- Department of Crop and Soil Science, Oregon State University, Corvallis, OR, 97331, USA
| | - Peggy Lemaux
- Department of Plant and Microbial Biology, University of California, Berkeley, CA, 94720, USA
| | - Jafar Mammadov
- Department of Crop & Soil Environmental Sciences, Virginia Tech, Blacksburg, VA, 24061, USA
- Dow AgroSciences LLC, Indianapolis, IN, 46268-1054, USA
| | - Timothy J Close
- Department of Botany and Plant Sciences, University of California, Riverside, CA, 92521, USA
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11
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Choulet F, Alberti A, Theil S, Glover N, Barbe V, Daron J, Pingault L, Sourdille P, Couloux A, Paux E, Leroy P, Mangenot S, Guilhot N, Le Gouis J, Balfourier F, Alaux M, Jamilloux V, Poulain J, Durand C, Bellec A, Gaspin C, Safar J, Dolezel J, Rogers J, Vandepoele K, Aury JM, Mayer K, Berges H, Quesneville H, Wincker P, Feuillet C. Structural and functional partitioning of bread wheat chromosome 3B. Science 2014; 345:1249721. [PMID: 25035497 DOI: 10.1126/science.1249721] [Citation(s) in RCA: 399] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
We produced a reference sequence of the 1-gigabase chromosome 3B of hexaploid bread wheat. By sequencing 8452 bacterial artificial chromosomes in pools, we assembled a sequence of 774 megabases carrying 5326 protein-coding genes, 1938 pseudogenes, and 85% of transposable elements. The distribution of structural and functional features along the chromosome revealed partitioning correlated with meiotic recombination. Comparative analyses indicated high wheat-specific inter- and intrachromosomal gene duplication activities that are potential sources of variability for adaption. In addition to providing a better understanding of the organization, function, and evolution of a large and polyploid genome, the availability of a high-quality sequence anchored to genetic maps will accelerate the identification of genes underlying important agronomic traits.
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Affiliation(s)
- Frédéric Choulet
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France.
| | - Adriana Alberti
- Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction des Sciences du Vivant, Institut de Génomique, Genoscope, 2 Rue Gaston Crémieux, 91000 Evry, France
| | - Sébastien Theil
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Natasha Glover
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Valérie Barbe
- Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction des Sciences du Vivant, Institut de Génomique, Genoscope, 2 Rue Gaston Crémieux, 91000 Evry, France
| | - Josquin Daron
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Lise Pingault
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Pierre Sourdille
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Arnaud Couloux
- Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction des Sciences du Vivant, Institut de Génomique, Genoscope, 2 Rue Gaston Crémieux, 91000 Evry, France
| | - Etienne Paux
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Philippe Leroy
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Sophie Mangenot
- Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction des Sciences du Vivant, Institut de Génomique, Genoscope, 2 Rue Gaston Crémieux, 91000 Evry, France
| | - Nicolas Guilhot
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Jacques Le Gouis
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Francois Balfourier
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
| | - Michael Alaux
- INRA, UR1164 Unité de Recherche Génomique Info Research Unit in Genomics-Info, INRA de Versailles, Route de Saint-Cyr, 78026 Versailles, France
| | - Véronique Jamilloux
- INRA, UR1164 Unité de Recherche Génomique Info Research Unit in Genomics-Info, INRA de Versailles, Route de Saint-Cyr, 78026 Versailles, France
| | - Julie Poulain
- Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction des Sciences du Vivant, Institut de Génomique, Genoscope, 2 Rue Gaston Crémieux, 91000 Evry, France
| | - Céline Durand
- Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction des Sciences du Vivant, Institut de Génomique, Genoscope, 2 Rue Gaston Crémieux, 91000 Evry, France
| | - Arnaud Bellec
- Centre National des Ressources Génomiques Végétales, INRA UPR 1258, 24 Chemin de Borde Rouge, 31326 Castanet-Tolosan, France
| | - Christine Gaspin
- Biométrie et Intelligence Artificielle, INRA, Chemin de Borde Rouge, BP 27, 31326 Castanet-Tolosan, France
| | - Jan Safar
- Centre of the Region Haná for Biotechnological and Agricultural Research, Institute of Experimental Botany, Slechtitelu 31, CZ-78371 Olomouc, Czech Republic
| | - Jaroslav Dolezel
- Centre of the Region Haná for Biotechnological and Agricultural Research, Institute of Experimental Botany, Slechtitelu 31, CZ-78371 Olomouc, Czech Republic
| | - Jane Rogers
- The Genome Analysis Centre, Norwich, Norwich Research Park, Norwich NR4 7UH, UK
| | - Klaas Vandepoele
- Department of Plant Systems Biology (VIB) and Department of Plant Biotechnology and Bioinformatics (Ghent University), Technologiepark 927, 9052 Gent, Belgium
| | - Jean-Marc Aury
- Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction des Sciences du Vivant, Institut de Génomique, Genoscope, 2 Rue Gaston Crémieux, 91000 Evry, France
| | - Klaus Mayer
- Munich Information Center for Protein Sequences, Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum Muenchen, D-85764 Neuherberg, Germany
| | - Hélène Berges
- Centre National des Ressources Génomiques Végétales, INRA UPR 1258, 24 Chemin de Borde Rouge, 31326 Castanet-Tolosan, France
| | - Hadi Quesneville
- INRA, UR1164 Unité de Recherche Génomique Info Research Unit in Genomics-Info, INRA de Versailles, Route de Saint-Cyr, 78026 Versailles, France
| | - Patrick Wincker
- Commissariat à l'Energie Atomique et aux Energies Alternatives, Direction des Sciences du Vivant, Institut de Génomique, Genoscope, 2 Rue Gaston Crémieux, 91000 Evry, France. CNRS UMR 8030, 2 Rue Gaston Crémieux, 91000 Evry, France. Université d'Evry, CP5706 Evry, France
| | - Catherine Feuillet
- Institut National de la Recherche Agronomique (INRA) UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France. University Blaise Pascal, UMR1095, Genetics, Diversity and Ecophysiology of Cereals, 5 Chemin de Beaulieu, 63039 Clermont-Ferrand, France
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12
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Raats D, Frenkel Z, Krugman T, Dodek I, Sela H, Simková H, Magni F, Cattonaro F, Vautrin S, Bergès H, Wicker T, Keller B, Leroy P, Philippe R, Paux E, Doležel J, Feuillet C, Korol A, Fahima T. The physical map of wheat chromosome 1BS provides insights into its gene space organization and evolution. Genome Biol 2013; 14:R138. [PMID: 24359668 PMCID: PMC4053865 DOI: 10.1186/gb-2013-14-12-r138] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2013] [Accepted: 12/20/2013] [Indexed: 11/16/2022] Open
Abstract
Background The wheat genome sequence is an essential tool for advanced genomic research and improvements. The generation of a high-quality wheat genome sequence is challenging due to its complex 17 Gb polyploid genome. To overcome these difficulties, sequencing through the construction of BAC-based physical maps of individual chromosomes is employed by the wheat genomics community. Here, we present the construction of the first comprehensive physical map of chromosome 1BS, and illustrate its unique gene space organization and evolution. Results Fingerprinted BAC clones were assembled into 57 long scaffolds, anchored and ordered with 2,438 markers, covering 83% of chromosome 1BS. The BAC-based chromosome 1BS physical map and gene order of the orthologous regions of model grass species were consistent, providing strong support for the reliability of the chromosome 1BS assembly. The gene space for chromosome 1BS spans the entire length of the chromosome arm, with 76% of the genes organized in small gene islands, accompanied by a two-fold increase in gene density from the centromere to the telomere. Conclusions This study provides new evidence on common and chromosome-specific features in the organization and evolution of the wheat genome, including a non-uniform distribution of gene density along the centromere-telomere axis, abundance of non-syntenic genes, the degree of colinearity with other grass genomes and a non-uniform size expansion along the centromere-telomere axis compared with other model cereal genomes. The high-quality physical map constructed in this study provides a solid basis for the assembly of a reference sequence of chromosome 1BS and for breeding applications.
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13
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A 4-gigabase physical map unlocks the structure and evolution of the complex genome of Aegilops tauschii, the wheat D-genome progenitor. Proc Natl Acad Sci U S A 2013; 110:7940-5. [PMID: 23610408 DOI: 10.1073/pnas.1219082110] [Citation(s) in RCA: 178] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The current limitations in genome sequencing technology require the construction of physical maps for high-quality draft sequences of large plant genomes, such as that of Aegilops tauschii, the wheat D-genome progenitor. To construct a physical map of the Ae. tauschii genome, we fingerprinted 461,706 bacterial artificial chromosome clones, assembled contigs, designed a 10K Ae. tauschii Infinium SNP array, constructed a 7,185-marker genetic map, and anchored on the map contigs totaling 4.03 Gb. Using whole genome shotgun reads, we extended the SNP marker sequences and found 17,093 genes and gene fragments. We showed that collinearity of the Ae. tauschii genes with Brachypodium distachyon, rice, and sorghum decreased with phylogenetic distance and that structural genome evolution rates have been high across all investigated lineages in subfamily Pooideae, including that of Brachypodieae. We obtained additional information about the evolution of the seven Triticeae chromosomes from 12 ancestral chromosomes and uncovered a pattern of centromere inactivation accompanying nested chromosome insertions in grasses. We showed that the density of noncollinear genes along the Ae. tauschii chromosomes positively correlates with recombination rates, suggested a cause, and showed that new genes, exemplified by disease resistance genes, are preferentially located in high-recombination chromosome regions.
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