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Lukjanová E, Řepková J. Chromosome and Genome Diversity in the Genus Trifolium (Fabaceae). PLANTS (BASEL, SWITZERLAND) 2021; 10:2518. [PMID: 34834880 PMCID: PMC8621578 DOI: 10.3390/plants10112518] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/11/2021] [Accepted: 11/16/2021] [Indexed: 06/13/2023]
Abstract
Trifolium L. is an economically important genus that is characterized by variable karyotypes relating to its ploidy level and basic chromosome numbers. The advent of genomic resources combined with molecular cytogenetics provides an opportunity to develop our understanding of plant genomes in general. Here, we summarize the current state of knowledge on Trifolium genomes and chromosomes and review methodologies using molecular markers that have contributed to Trifolium research. We discuss possible future applications of cytogenetic methods in research on the Trifolium genome and chromosomes.
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Affiliation(s)
| | - Jana Řepková
- Department of Experimental Biology, Faculty of Sciences, Masaryk University, 611 37 Brno, Czech Republic;
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2
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Wu F, Ma S, Zhou J, Han C, Hu R, Yang X, Nie G, Zhang X. Genetic diversity and population structure analysis in a large collection of white clover ( Trifolium repens L.) germplasm worldwide. PeerJ 2021; 9:e11325. [PMID: 33987011 PMCID: PMC8101478 DOI: 10.7717/peerj.11325] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 03/31/2021] [Indexed: 12/31/2022] Open
Abstract
White clover is an important temperate legume forage with high nutrition. In the present study, 448 worldwide accessions were evaluated for the genetic variation and polymorphisms using 22 simple sequence repeat (SSR) markers. All the markers were highly informative, a total of 341 scored bands were amplified, out of which 337 (98.83%) were polymorphic. The PIC values ranged from 0.89 to 0.97 with an average of 0.95. For the AMOVA analysis, 98% of the variance was due to differences within the population and the remaining 2% was due to differences among populations. The white clover accessions were divided into different groups or subgroups based on PCoA, UPGMA, and STRUCTURE analyses. The existence of genetic differentiation between the originally natural and introduced areas according to the PCoA analysis of the global white clover accessions. There was a weak correlation between genetic relationships and geographic distribution according to UPGMA and STRUCTURE analyses. The results of the present study will provide the foundation for future breeding programs, genetic improvement, core germplasm collection establishment for white clover.
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Affiliation(s)
- Feifei Wu
- Department of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Sainan Ma
- Department of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jie Zhou
- Department of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Chongyang Han
- Department of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Ruchang Hu
- Department of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xinying Yang
- Department of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Gang Nie
- Department of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xinquan Zhang
- Department of Grassland Science, Animal Science and Technology College, Sichuan Agricultural University, Chengdu, Sichuan, China
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Dluhošová J, Ištvánek J, Nedělník J, Řepková J. Red Clover ( Trifolium pratense) and Zigzag Clover ( T. medium) - A Picture of Genomic Similarities and Differences. FRONTIERS IN PLANT SCIENCE 2018; 9:724. [PMID: 29922311 PMCID: PMC5996420 DOI: 10.3389/fpls.2018.00724] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Accepted: 05/14/2018] [Indexed: 05/29/2023]
Abstract
The genus clover (Trifolium sp.) is one of the most economically important genera in the Fabaceae family. More than 10 species are grown as manure plants or forage legumes. Red clover's (T. pratense) genome size is one of the smallest in the Trifolium genus, while many clovers with potential breeding value have much larger genomes. Zigzag clover (T. medium) is closely related to the sequenced red clover; however, its genome is approximately 7.5x larger. Currently, almost nothing is known about the architecture of this large genome and differences between these two clover species. We sequenced the T. medium genome (2n = 8x = 64) with ∼23× coverage and managed to partially assemble 492.7 Mbp of its genomic sequence. A thorough comparison between red clover and zigzag clover sequencing reads resulted in the successful validation of 7 T. pratense- and 45 T. medium-specific repetitive elements. The newly discovered repeats led to the set-up of the first partial T. medium karyotype. Newly discovered red clover and zigzag clover tandem repeats were summarized. The structure of centromere-specific satellite repeat resembling that of T. repens was inferred in T. pratense. Two repeats, TrM300 and TrM378, showed a specific localization into centromeres of a half of all zigzag clover chromosomes; TrM300 on eight chromosomes and TrM378 on 24 chromosomes. A comparison with the red clover draft sequence was also used to mine more than 105,000 simple sequence repeats (SSRs) and 1,170,000 single nucleotide variants (SNVs). The presented data obtained from the sequencing of zigzag clover represent the first glimpse on the genomic sequence of this species. Centromeric repeats indicated its allopolyploid origin and naturally occurring homogenization of the centromeric repeat motif was somehow prevented. Using various repeats, highly uniform 64 chromosomes were separated into eight types of chromosomes. Zigzag clover genome underwent substantial chromosome rearrangements and cannot be counted as a true octoploid. The resulting data, especially the large number of predicted SSRs and SNVs, may have great potential for further research of the legume family and for rapid advancements in clover breeding.
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Affiliation(s)
- Jana Dluhošová
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czechia
| | - Jan Ištvánek
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czechia
| | | | - Jana Řepková
- Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czechia
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Ištvánek J, Dluhošová J, Dluhoš P, Pátková L, Nedělník J, Řepková J. Gene Classification and Mining of Molecular Markers Useful in Red Clover ( Trifolium pratense) Breeding. FRONTIERS IN PLANT SCIENCE 2017; 8:367. [PMID: 28382043 PMCID: PMC5360756 DOI: 10.3389/fpls.2017.00367] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2016] [Accepted: 03/01/2017] [Indexed: 05/18/2023]
Abstract
Red clover (Trifolium pratense) is an important forage plant worldwide. This study was directed to broadening current knowledge of red clover's coding regions and enhancing its utilization in practice by specific reanalysis of previously published assembly. A total of 42,996 genes were characterized using Illumina paired-end sequencing after manual revision of Blast2GO annotation. Genes were classified into metabolic and biosynthetic pathways in response to biological processes, with 7,517 genes being assigned to specific pathways. Moreover, 17,727 enzymatic nodes in all pathways were described. We identified 6,749 potential microsatellite loci in red clover coding sequences, and we characterized 4,005 potential simple sequence repeat (SSR) markers as generating polymerase chain reaction products preferentially within 100-350 bp. Marker density of 1 SSR marker per 12.39 kbp was achieved. Aligning reads against predicted coding sequences resulted in the identification of 343,027 single nucleotide polymorphism (SNP) markers, providing marker density of one SNP marker per 144.6 bp. Altogether, 95 SSRs in coding sequences were analyzed for 50 red clover varieties and a collection of 22 highly polymorphic SSRs with pooled polymorphism information content >0.9 was generated, thus obtaining primer pairs for application to diversity studies in T. pratense. A set of 8,623 genome-wide distributed SNPs was developed and used for polymorphism evaluation in individual plants. The polymorphic information content ranged from 0 to 0.375. Temperature switch PCR was successfully used in single-marker SNP genotyping for targeted coding sequences and for heterozygosity or homozygosity confirmation in validated five loci. Predicted large sets of SSRs and SNPs throughout the genome are key to rapidly implementing genome-based breeding approaches, for identifying genes underlying key traits, and for genome-wide association studies. Detailed knowledge of genetic relationships among breeding material can also be useful for breeders in planning crosses or for plant variety protection. Single-marker assays are useful for diagnostic applications.
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Affiliation(s)
- Jan Ištvánek
- Department of Experimental Biology, Faculty of Science, Masaryk UniversityBrno, Czechia
| | - Jana Dluhošová
- Department of Experimental Biology, Faculty of Science, Masaryk UniversityBrno, Czechia
| | - Petr Dluhoš
- Department of Psychiatry, University Hospital Brno and Masaryk UniversityBrno, Czechia
| | - Lenka Pátková
- Department of Experimental Biology, Faculty of Science, Masaryk UniversityBrno, Czechia
| | | | - Jana Řepková
- Department of Experimental Biology, Faculty of Science, Masaryk UniversityBrno, Czechia
- *Correspondence: Jana Řepková
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Chaintreuil C, Rivallan R, Bertioli DJ, Klopp C, Gouzy J, Courtois B, Leleux P, Martin G, Rami JF, Gully D, Parrinello H, Séverac D, Patrel D, Fardoux J, Ribière W, Boursot M, Cartieaux F, Czernic P, Ratet P, Mournet P, Giraud E, Arrighi JF. A gene-based map of the Nod factor-independent Aeschynomene evenia sheds new light on the evolution of nodulation and legume genomes. DNA Res 2016; 23:365-76. [PMID: 27298380 PMCID: PMC4991833 DOI: 10.1093/dnares/dsw020] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 05/02/2016] [Indexed: 11/13/2022] Open
Abstract
Aeschynomene evenia has emerged as a new model legume for the deciphering of the molecular mechanisms of an alternative symbiotic process that is independent of the Nod factors. Whereas most of the research on nitrogen-fixing symbiosis, legume genetics and genomics has so far focused on Galegoid and Phaseolid legumes, A. evenia falls in the more basal and understudied Dalbergioid clade along with peanut (Arachis hypogaea). To provide insights into the symbiotic genes content and the structure of the A. evenia genome, we established a gene-based genetic map for this species. Firstly, an RNAseq analysis was performed on the two parental lines selected to generate a F2 mapping population. The transcriptomic data were used to develop molecular markers and they allowed the identification of most symbiotic genes. The resulting map comprised 364 markers arranged in 10 linkage groups (2n = 20). A comparative analysis with the sequenced genomes of Arachis duranensis and A. ipaensis, the diploid ancestors of peanut, indicated blocks of conserved macrosynteny. Altogether, these results provided important clues regarding the evolution of symbiotic genes in a Nod factor-independent context. They provide a basis for a genome sequencing project and pave the way for forward genetic analysis of symbiosis in A. evenia.
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Affiliation(s)
| | - Ronan Rivallan
- CIRAD, UMR AGAP, Campus de Lavalette, F-34398 Montpellier, France
| | - David J Bertioli
- University of Brasília, Institute of Biological Sciences, Campus Darcy Ribeiro, 70910-900 Brasília, DF, Brazil
| | - Christophe Klopp
- INRA, Plateforme GenoToul Bioinfo, UR 875, INRA Auzeville, F-31326 Castanet-Tolosan, France
| | - Jérôme Gouzy
- INRA, UMR441 LIPM, INRA Auzeville, F-31326 Castanet-Tolosan, France
| | | | - Philippe Leleux
- IRD, UMR LSTM, Campus International de Baillarguet, F-34398 Montpellier, France INRA, Plateforme GenoToul Bioinfo, UR 875, INRA Auzeville, F-31326 Castanet-Tolosan, France
| | - Guillaume Martin
- CIRAD, UMR AGAP, Campus de Lavalette, F-34398 Montpellier, France
| | | | - Djamel Gully
- IRD, UMR LSTM, Campus International de Baillarguet, F-34398 Montpellier, France
| | - Hugues Parrinello
- MGX-Montpellier GenomiX, Institut de Génomique Fonctionnelle, F-34094 Montpellier, France
| | - Dany Séverac
- MGX-Montpellier GenomiX, Institut de Génomique Fonctionnelle, F-34094 Montpellier, France
| | - Delphine Patrel
- IRD, UMR LSTM, Campus International de Baillarguet, F-34398 Montpellier, France IRD, Centre IRD de Montpellier France Sud, F-34394 Montpellier, France
| | - Joël Fardoux
- IRD, UMR LSTM, Campus International de Baillarguet, F-34398 Montpellier, France
| | - William Ribière
- IRD, Centre IRD de Montpellier France Sud, F-34394 Montpellier, France
| | - Marc Boursot
- IRD, UMR LSTM, Campus International de Baillarguet, F-34398 Montpellier, France
| | - Fabienne Cartieaux
- IRD, UMR LSTM, Campus International de Baillarguet, F-34398 Montpellier, France
| | - Pierre Czernic
- IRD, UMR LSTM, Campus International de Baillarguet, F-34398 Montpellier, France
| | - Pascal Ratet
- Institute of Plant Sciences Paris Saclay IPS2, CNRS, INRA, Université Paris-Sud, Université Evry, Université Paris-Saclay, 91405 Orsay, France Institute of Plant Sciences Paris-Saclay IPS2, Paris Diderot, Sorbonne Paris-Cité, 91405 Orsay, France
| | - Pierre Mournet
- CIRAD, UMR AGAP, Campus de Lavalette, F-34398 Montpellier, France
| | - Eric Giraud
- IRD, UMR LSTM, Campus International de Baillarguet, F-34398 Montpellier, France
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6
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Red clover (Trifolium pratense L.) draft genome provides a platform for trait improvement. Sci Rep 2015; 5:17394. [PMID: 26617401 PMCID: PMC4663792 DOI: 10.1038/srep17394] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Accepted: 10/29/2015] [Indexed: 01/19/2023] Open
Abstract
Red clover (Trifolium pratense L.) is a globally significant forage legume in pastoral livestock farming systems. It is an attractive component of grassland farming, because of its high yield and protein content, nutritional value and ability to fix atmospheric nitrogen. Enhancing its role further in sustainable agriculture requires genetic improvement of persistency, disease resistance, and tolerance to grazing. To help address these challenges, we have assembled a chromosome-scale reference genome for red clover. We observed large blocks of conserved synteny with Medicago truncatula and estimated that the two species diverged ~23 million years ago. Among the 40,868 annotated genes, we identified gene clusters involved in biochemical pathways of importance for forage quality and livestock nutrition. Genotyping by sequencing of a synthetic population of 86 genotypes show that the number of markers required for genomics-based breeding approaches is tractable, making red clover a suitable candidate for association studies and genomic selection.
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7
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El-Rodeny W, Kimura M, Hirakawa H, Sabah A, Shirasawa K, Sato S, Tabata S, Sasamoto S, Watanabe A, Kawashima K, Kato M, Wada T, Tsuruoka H, Takahashi C, Minami C, Nanri K, Nakayama S, Kohara M, Yamada M, Kishida Y, Fujishiro T, Isobe S. Development of EST-SSR markers and construction of a linkage map in faba bean (Vicia faba). BREEDING SCIENCE 2014; 64:252-63. [PMID: 25320560 PMCID: PMC4154614 DOI: 10.1270/jsbbs.64.252] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2014] [Accepted: 06/24/2014] [Indexed: 05/06/2023]
Abstract
To develop a high density linkage map in faba bean, a total of 1,363 FBES (Faba bean expressed sequence tag [EST]-derived simple sequence repeat [SSR]) markers were designed based on 5,090 non-redundant ESTs developed in this study. A total of 109 plants of a 'Nubaria 2' × 'Misr 3' F2 mapping population were used for map construction. Because the parents were not pure homozygous lines, the 109 F2 plants were divided into three subpopulations according to the original F1 plants. Linkage groups (LGs) generated in each subpopulation were integrated by commonly mapped markers. The integrated 'Nubaria 2' × 'Misr 3' map consisted of six LGs, representing a total length of 684.7 cM, with 552 loci. Of the mapped loci, 47% were generated from multi-loci diagnostic (MLD) markers. Alignment of homologous sequence pairs along each linkage group revealed obvious syntenic relationships between LGs in faba bean and the genomes of two model legumes, Lotus japonicus and Medicago truncatula. In a polymorphic analysis with ten Egyptian faba bean varieties, 78.9% (384/487) of the FBES markers showed polymorphisms. Along with the EST-SSR markers, the dense map developed in this study is expected to accelerate marker assisted breeding in faba bean.
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Affiliation(s)
- Walid El-Rodeny
- Sakha Agricultural Research Station, Field Crop Research Institute, Agricultural Research Center,
P.O. Box 33717, Kafr Sl-Sheikh,
Egypt
| | - Mitsuhiro Kimura
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Hideki Hirakawa
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Attia Sabah
- Sakha Agricultural Research Station, Field Crop Research Institute, Agricultural Research Center,
P.O. Box 33717, Kafr Sl-Sheikh,
Egypt
| | - Kenta Shirasawa
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Shusei Sato
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Satoshi Tabata
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Shigemi Sasamoto
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Akiko Watanabe
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Kumiko Kawashima
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Midori Kato
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Tsuyuko Wada
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Hisano Tsuruoka
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Chika Takahashi
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Chiharu Minami
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Keiko Nanri
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Shinobu Nakayama
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Mitsuyo Kohara
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Manabu Yamada
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Yoshie Kishida
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Tsunakazu Fujishiro
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
| | - Sachiko Isobe
- Kazusa DNA Research Institute,
2-6-7 Kazusa-Kamatari, Kisarazu, Chiba 292-0818,
Japan
- Corresponding author (e-mail: )
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Shirasawa K, Isobe S, Tabata S, Hirakawa H. Kazusa Marker DataBase: a database for genomics, genetics, and molecular breeding in plants. BREEDING SCIENCE 2014; 64:264-71. [PMID: 25320561 PMCID: PMC4154615 DOI: 10.1270/jsbbs.64.264] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2014] [Accepted: 05/08/2014] [Indexed: 05/06/2023]
Abstract
In order to provide useful genomic information for agronomical plants, we have established a database, the Kazusa Marker DataBase (http://marker.kazusa.or.jp). This database includes information on DNA markers, e.g., SSR and SNP markers, genetic linkage maps, and physical maps, that were developed at the Kazusa DNA Research Institute. Keyword searches for the markers, sequence data used for marker development, and experimental conditions are also available through this database. Currently, 10 plant species have been targeted: tomato (Solanum lycopersicum), pepper (Capsicum annuum), strawberry (Fragaria × ananassa), radish (Raphanus sativus), Lotus japonicus, soybean (Glycine max), peanut (Arachis hypogaea), red clover (Trifolium pratense), white clover (Trifolium repens), and eucalyptus (Eucalyptus camaldulensis). In addition, the number of plant species registered in this database will be increased as our research progresses. The Kazusa Marker DataBase will be a useful tool for both basic and applied sciences, such as genomics, genetics, and molecular breeding in crops.
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9
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Asamizu E, Ichihara H, Nakaya A, Nakamura Y, Hirakawa H, Ishii T, Tamura T, Fukami-Kobayashi K, Nakajima Y, Tabata S. Plant Genome DataBase Japan (PGDBj): a portal website for the integration of plant genome-related databases. PLANT & CELL PHYSIOLOGY 2014; 55:e8. [PMID: 24363285 PMCID: PMC3894704 DOI: 10.1093/pcp/pct189] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
The Plant Genome DataBase Japan (PGDBj, http://pgdbj.jp/?ln=en) is a portal website that aims to integrate plant genome-related information from databases (DBs) and the literature. The PGDBj is comprised of three component DBs and a cross-search engine, which provides a seamless search over the contents of the DBs. The three DBs are as follows. (i) The Ortholog DB, providing gene cluster information based on the amino acid sequence similarity. Over 500,000 amino acid sequences of 20 Viridiplantae species were subjected to reciprocal BLAST searches and clustered. Sequences from plant genome DBs (e.g. TAIR10 and RAP-DB) were also included in the cluster with a direct link to the original DB. (ii) The Plant Resource DB, integrating the SABRE DB, which provides cDNA and genome sequence resources accumulated and maintained in the RIKEN BioResource Center and National BioResource Projects. (iii) The DNA Marker DB, providing manually or automatically curated information of DNA markers, quantitative trait loci and related linkage maps, from the literature and external DBs. As the PGDBj targets various plant species, including model plants, algae, and crops important as food, fodder and biofuel, researchers in the field of basic biology as well as a wide range of agronomic fields are encouraged to perform searches using DNA sequences, gene names, traits and phenotypes of interest. The PGDBj will return the search results from the component DBs and various types of linked external DBs.
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Affiliation(s)
- Erika Asamizu
- Department of Plant Genome Research, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818 Japan
| | - Hisako Ichihara
- Department of Plant Genome Research, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818 Japan
| | - Akihiro Nakaya
- Center for Transdisciplinary Research, Niigata University, 1-757 Asahimachi-dori, Chuo-ku, Niigata, 951-8585 Japan
| | - Yasukazu Nakamura
- Department of Plant Genome Research, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818 Japan
| | - Hideki Hirakawa
- Department of Plant Genome Research, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818 Japan
| | - Takahiro Ishii
- Department of Plant Genome Research, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818 Japan
| | - Takuro Tamura
- LINE Co., Ltd., 5-201 Kandamatsunaga-cho, Tokyo, 101-0023 Japan
| | | | - Yukari Nakajima
- Department of Plant Genome Research, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818 Japan
| | - Satoshi Tabata
- Department of Plant Genome Research, Kazusa DNA Research Institute, 2-6-7 Kazusa-kamatari, Kisarazu, Chiba, 292-0818 Japan
- *Corresponding author: Fax: +81-438-52-3918; E-mail,
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10
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Leonforte A, Sudheesh S, Cogan NOI, Salisbury PA, Nicolas ME, Materne M, Forster JW, Kaur S. SNP marker discovery, linkage map construction and identification of QTLs for enhanced salinity tolerance in field pea (Pisum sativum L.). BMC PLANT BIOLOGY 2013; 13:161. [PMID: 24134188 PMCID: PMC4015884 DOI: 10.1186/1471-2229-13-161] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2013] [Accepted: 10/13/2013] [Indexed: 05/19/2023]
Abstract
BACKGROUND Field pea (Pisum sativum L.) is a self-pollinating, diploid, cool-season food legume. Crop production is constrained by multiple biotic and abiotic stress factors, including salinity, that cause reduced growth and yield. Recent advances in genomics have permitted the development of low-cost high-throughput genotyping systems, allowing the construction of saturated genetic linkage maps for identification of quantitative trait loci (QTLs) associated with traits of interest. Genetic markers in close linkage with the relevant genomic regions may then be implemented in varietal improvement programs. RESULTS In this study, single nucleotide polymorphism (SNP) markers associated with expressed sequence tags (ESTs) were developed and used to generate comprehensive linkage maps for field pea. From a set of 36,188 variant nucleotide positions detected through in silico analysis, 768 were selected for genotyping of a recombinant inbred line (RIL) population. A total of 705 SNPs (91.7%) successfully detected segregating polymorphisms. In addition to SNPs, genomic and EST-derived simple sequence repeats (SSRs) were assigned to the genetic map in order to obtain an evenly distributed genome-wide coverage. Sequences associated with the mapped molecular markers were used for comparative genomic analysis with other legume species. Higher levels of conserved synteny were observed with the genomes of Medicago truncatula Gaertn. and chickpea (Cicer arietinum L.) than with soybean (Glycine max [L.] Merr.), Lotus japonicus L. and pigeon pea (Cajanus cajan [L.] Millsp.). Parents and RIL progeny were screened at the seedling growth stage for responses to salinity stress, imposed by addition of NaCl in the watering solution at a concentration of 18 dS m-1. Salinity-induced symptoms showed normal distribution, and the severity of the symptoms increased over time. QTLs for salinity tolerance were identified on linkage groups Ps III and VII, with flanking SNP markers suitable for selection of resistant cultivars. Comparison of sequences underpinning these SNP markers to the M. truncatula genome defined genomic regions containing candidate genes associated with saline stress tolerance. CONCLUSION The SNP assays and associated genetic linkage maps developed in this study permitted identification of salinity tolerance QTLs and candidate genes. This constitutes an important set of tools for marker-assisted selection (MAS) programs aimed at performance enhancement of field pea cultivars.
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Affiliation(s)
- Antonio Leonforte
- Department of Environment and Primary Industries, Biosciences Research Division, Grains Innovation Park, PMB 260, Horsham, VIC 3401, Australia
- Melbourne School of Land and Environment, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Shimna Sudheesh
- Department of Environment and Primary Industries, Biosciences Research Division, AgriBio, Centre for AgriBioscience, 5 Ring Road, La Trobe University Research and Development Park, Bundoora, VIC 3083, Australia
- La Trobe University, Bundoora, VIC 3086, Australia
| | - Noel OI Cogan
- Department of Environment and Primary Industries, Biosciences Research Division, AgriBio, Centre for AgriBioscience, 5 Ring Road, La Trobe University Research and Development Park, Bundoora, VIC 3083, Australia
| | - Philip A Salisbury
- Melbourne School of Land and Environment, University of Melbourne, Melbourne, VIC 3010, Australia
- Department of Environment and Primary Industries, Biosciences Research Division, AgriBio, Centre for AgriBioscience, 5 Ring Road, La Trobe University Research and Development Park, Bundoora, VIC 3083, Australia
| | - Marc E Nicolas
- Department of Environment and Primary Industries, Biosciences Research Division, AgriBio, Centre for AgriBioscience, 5 Ring Road, La Trobe University Research and Development Park, Bundoora, VIC 3083, Australia
| | - Michael Materne
- Department of Environment and Primary Industries, Biosciences Research Division, Grains Innovation Park, PMB 260, Horsham, VIC 3401, Australia
| | - John W Forster
- Department of Environment and Primary Industries, Biosciences Research Division, AgriBio, Centre for AgriBioscience, 5 Ring Road, La Trobe University Research and Development Park, Bundoora, VIC 3083, Australia
- La Trobe University, Bundoora, VIC 3086, Australia
| | - Sukhjiwan Kaur
- Department of Environment and Primary Industries, Biosciences Research Division, AgriBio, Centre for AgriBioscience, 5 Ring Road, La Trobe University Research and Development Park, Bundoora, VIC 3083, Australia
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Griffiths AG, Barrett BA, Simon D, Khan AK, Bickerstaff P, Anderson CB, Franzmayr BK, Hancock KR, Jones CS. An integrated genetic linkage map for white clover (Trifolium repens L.) with alignment to Medicago. BMC Genomics 2013; 14:388. [PMID: 23758831 PMCID: PMC3693905 DOI: 10.1186/1471-2164-14-388] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2013] [Accepted: 05/30/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND White clover (Trifolium repens L.) is a temperate forage legume with an allotetraploid genome (2n=4×=32) estimated at 1093 Mb. Several linkage maps of various sizes, marker sources and completeness are available, however, no integrated map and marker set has explored consistency of linkage analysis among unrelated mapping populations. Such integrative analysis requires tools for homoeologue matching among populations. Development of these tools provides for a consistent framework map of the white clover genome, and facilitates in silico alignment with the model forage legume, Medicago truncatula. RESULTS This is the first report of integration of independent linkage maps in white clover, and adds to the literature on methyl filtered GeneThresher®-derived microsatellite (simple sequence repeat; SSR) markers for linkage mapping. Gene-targeted SSR markers were discovered in a GeneThresher® (TrGT) methyl-filtered database of 364,539 sequences, which yielded 15,647 SSR arrays. Primers were designed for 4,038 arrays and of these, 465 TrGT-SSR markers were used for parental consensus genetic linkage analysis in an F1 mapping population (MP2). This was merged with an EST-SSR consensus genetic map of an independent population (MP1), using markers to match homoeologues and develop a multi-population integrated map of the white clover genome. This integrated map (IM) includes 1109 loci based on 804 SSRs over 1274 cM, covering 97% of the genome at a moderate density of one locus per 1.2 cM. Eighteen candidate genes and one morphological marker were also placed on the IM. Despite being derived from disparate populations and marker sources, the component maps and the derived IM had consistent representations of the white clover genome for marker order and genetic length. In silico analysis at an E-value threshold of 1e-20 revealed substantial co-linearity with the Medicago truncatula genome, and indicates a translocation between T. repens groups 2 and 6 relative to M. truncatula. CONCLUSIONS This integrated genetic linkage analysis provides a consistent and comprehensive linkage analysis of the white clover genome, with alignment to a model forage legume. Associated marker locus information, particularly the homoeologue-specific markers, offers a new resource for forage legume research to enable genetic analysis and improvement of this forage and grassland species.
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Affiliation(s)
- Andrew G Griffiths
- AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442, New Zealand
- Pastoral Genomics, ℅ AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442, New Zealand
| | - Brent A Barrett
- AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442, New Zealand
| | - Deborah Simon
- Landcorp Farming Limited, PO Box 5349, Wellington, 6145, New Zealand
| | - Anar K Khan
- AgResearch Invermay Agricultural Centre, Private Bag 50034, Mosgiel, 9053, New Zealand
| | | | - Craig B Anderson
- AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442, New Zealand
- Pastoral Genomics, ℅ AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442, New Zealand
| | - Benjamin K Franzmayr
- AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442, New Zealand
- Pastoral Genomics, ℅ AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442, New Zealand
| | - Kerry R Hancock
- AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442, New Zealand
- Pastoral Genomics, ℅ AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442, New Zealand
| | - Chris S Jones
- AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North, 4442, New Zealand
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Truco MJ, Ashrafi H, Kozik A, van Leeuwen H, Bowers J, Wo SRC, Stoffel K, Xu H, Hill T, Van Deynze A, Michelmore RW. An Ultra-High-Density, Transcript-Based, Genetic Map of Lettuce. G3 (BETHESDA, MD.) 2013; 3:617-631. [PMID: 23550116 PMCID: PMC3618349 DOI: 10.1534/g3.112.004929] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2012] [Accepted: 02/07/2013] [Indexed: 02/07/2023]
Abstract
We have generated an ultra-high-density genetic map for lettuce, an economically important member of the Compositae, consisting of 12,842 unigenes (13,943 markers) mapped in 3696 genetic bins distributed over nine chromosomal linkage groups. Genomic DNA was hybridized to a custom Affymetrix oligonucleotide array containing 6.4 million features representing 35,628 unigenes of Lactuca spp. Segregation of single-position polymorphisms was analyzed using 213 F7:8 recombinant inbred lines that had been generated by crossing cultivated Lactuca sativa cv. Salinas and L. serriola acc. US96UC23, the wild progenitor species of L. sativa The high level of replication of each allele in the recombinant inbred lines was exploited to identify single-position polymorphisms that were assigned to parental haplotypes. Marker information has been made available using GBrowse to facilitate access to the map. This map has been anchored to the previously published integrated map of lettuce providing candidate genes for multiple phenotypes. The high density of markers achieved in this ultradense map allowed syntenic studies between lettuce and Vitis vinifera as well as other plant species.
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Affiliation(s)
- Maria José Truco
- The Genome Center, University of California, Davis, California 95616
| | - Hamid Ashrafi
- Seed Biotechnology Center, University of California, Davis, California 95616
| | - Alexander Kozik
- The Genome Center, University of California, Davis, California 95616
| | - Hans van Leeuwen
- The Genome Center, University of California, Davis, California 95616
| | - John Bowers
- Department of Plant Biology, University of Georgia, Athens, Georgia 30602
| | | | - Kevin Stoffel
- Seed Biotechnology Center, University of California, Davis, California 95616
| | - Huaqin Xu
- The Genome Center, University of California, Davis, California 95616
| | - Theresa Hill
- Seed Biotechnology Center, University of California, Davis, California 95616
| | - Allen Van Deynze
- Seed Biotechnology Center, University of California, Davis, California 95616
- Department of Plant Sciences, University of California, Davis, California 95616
| | - Richard W Michelmore
- The Genome Center, University of California, Davis, California 95616
- Department of Plant Sciences, University of California, Davis, California 95616
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Shirasawa K, Bertioli DJ, Varshney RK, Moretzsohn MC, Leal-Bertioli SCM, Thudi M, Pandey MK, Rami JF, Foncéka D, Gowda MVC, Qin H, Guo B, Hong Y, Liang X, Hirakawa H, Tabata S, Isobe S. Integrated consensus map of cultivated peanut and wild relatives reveals structures of the A and B genomes of Arachis and divergence of the legume genomes. DNA Res 2013; 20:173-84. [PMID: 23315685 PMCID: PMC3628447 DOI: 10.1093/dnares/dss042] [Citation(s) in RCA: 98] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2012] [Accepted: 12/21/2012] [Indexed: 02/02/2023] Open
Abstract
The complex, tetraploid genome structure of peanut (Arachis hypogaea) has obstructed advances in genetics and genomics in the species. The aim of this study is to understand the genome structure of Arachis by developing a high-density integrated consensus map. Three recombinant inbred line populations derived from crosses between the A genome diploid species, Arachis duranensis and Arachis stenosperma; the B genome diploid species, Arachis ipaënsis and Arachis magna; and between the AB genome tetraploids, A. hypogaea and an artificial amphidiploid (A. ipaënsis × A. duranensis)(4×), were used to construct genetic linkage maps: 10 linkage groups (LGs) of 544 cM with 597 loci for the A genome; 10 LGs of 461 cM with 798 loci for the B genome; and 20 LGs of 1442 cM with 1469 loci for the AB genome. The resultant maps plus 13 published maps were integrated into a consensus map covering 2651 cM with 3693 marker loci which was anchored to 20 consensus LGs corresponding to the A and B genomes. The comparative genomics with genome sequences of Cajanus cajan, Glycine max, Lotus japonicus, and Medicago truncatula revealed that the Arachis genome has segmented synteny relationship to the other legumes. The comparative maps in legumes, integrated tetraploid consensus maps, and genome-specific diploid maps will increase the genetic and genomic understanding of Arachis and should facilitate molecular breeding.
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