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Choi HK. Translational genomics and multi-omics integrated approaches as a useful strategy for crop breeding. Genes Genomics 2019; 41:133-146. [PMID: 30353370 PMCID: PMC6394800 DOI: 10.1007/s13258-018-0751-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Accepted: 10/01/2018] [Indexed: 01/25/2023]
Abstract
Recent next generation sequencing-driven mass production of genomic data and multi-omics-integrated approaches have significantly contributed to broadening and deepening our knowledge on the molecular system of living organisms. Accordingly, translational genomics (TG) approach can play a pivotal role in creating an informational bridge between model systems and relatively less studied plants. This review focuses mainly on addressing recent advancement in omics-related technologies, a diverse array of bioinformatic resources and potential applications of TG for the crop breeding. To accomplish above objectives, information on omics data production, various DBs and high throughput technologies was collected, integrated, and used to analyze current status and future perspectives towards omics-assisted crop breeding. Various omics data and resources have been organized and integrated into the databases and/or bioinformatic infrastructures, and thereby serve as the ome's information center for cross-genome translation of biological data. Although the size of accumulated omics data and availability of reference genomes are different among plant families, translational approaches have been actively progressing to access particular biological characteristics. When multi-layered omics data are integrated in a synthetic manner, it will allow providing a stereoscopic view of dynamic molecular behavior and interacting networks of genes occurring in plants. Consequently, TG approach will lead us to broader and deeper insights into target traits for the plant breeding. Furthermore, such systems approach will renovate conventional breeding programs and accelerate precision crop breeding in the future.
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Affiliation(s)
- Hong-Kyu Choi
- Department of Molecular Genetics, College of Natural Resources and Life Science, Dong-A University, Nakdong-Daero 550-Beongil 37, Saha-Gu, Busan, 49315, Republic of Korea.
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Sudheesh S, Rodda MS, Davidson J, Javid M, Stephens A, Slater AT, Cogan NOI, Forster JW, Kaur S. SNP-Based Linkage Mapping for Validation of QTLs for Resistance to Ascochyta Blight in Lentil. FRONTIERS IN PLANT SCIENCE 2016; 7:1604. [PMID: 27853461 PMCID: PMC5091049 DOI: 10.3389/fpls.2016.01604] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Accepted: 10/12/2016] [Indexed: 05/23/2023]
Abstract
Lentil (Lens culinaris Medik.) is a self-pollinating, diploid, annual, cool-season, food legume crop that is cultivated throughout the world. Ascochyta blight (AB), caused by Ascochyta lentis Vassilievsky, is an economically important and widespread disease of lentil. Development of cultivars with high levels of durable resistance provides an environmentally acceptable and economically feasible method for AB control. A detailed understanding of the genetic basis of AB resistance is hence highly desirable, in order to obtain insight into the number and influence of resistance genes. Genetic linkage maps based on single nucleotide polymorphisms (SNP) and simple sequence repeat (SSR) markers have been developed from three recombinant inbred line (RIL) populations. The IH × NF map contained 460 loci across 1461.6 cM, while the IH × DIG map contained 329 loci across 1302.5 cM and the third map, NF × DIG contained 330 loci across 1914.1 cM. Data from these maps were combined with a map from a previously published study through use of bridging markers to generate a consensus linkage map containing 689 loci distributed across seven linkage groups (LGs), with a cumulative length of 2429.61 cM at an average density of one marker per 3.5 cM. Trait dissection of AB resistance was performed for the RIL populations, identifying totals of two and three quantitative trait loci (QTLs) explaining 52 and 69% of phenotypic variation for resistance to infection in the IH × DIG and IH × NF populations, respectively. Presence of common markers in the vicinity of the AB_IH1- and AB_IH2.1/AB_IH2.2-containing regions on both maps supports the inference that a common genomic region is responsible for conferring resistance and is associated with the resistant parent, Indianhead. The third QTL was derived from Northfield. Evaluation of markers associated with AB resistance across a diverse lentil germplasm panel revealed that the identity of alleles associated with AB_IH1 predicted the phenotypic responses with high levels of accuracy (~86%), and therefore have the potential to be widely adopted in lentil breeding programs. The availability of RIL-based maps, a consensus map, and validated markers linked to AB resistance provide important resources for lentil improvement.
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Affiliation(s)
- Shimna Sudheesh
- Biosciences Research, Agriculture Victoria, AgriBio, La Trobe UniversityBundoora, VIC, Australia
| | - Matthew S. Rodda
- Biosciences Research, Agriculture VictoriaHorsham, VIC, Australia
| | - Jenny Davidson
- South Australia Research and Development Institute, Plant Research CentreUrrbrae, SA, Australia
| | - Muhammad Javid
- Biosciences Research, Agriculture VictoriaHorsham, VIC, Australia
| | - Amber Stephens
- Biosciences Research, Agriculture Victoria, AgriBio, La Trobe UniversityBundoora, VIC, Australia
| | - Anthony T. Slater
- Biosciences Research, Agriculture Victoria, AgriBio, La Trobe UniversityBundoora, VIC, Australia
| | - Noel O. I. Cogan
- Biosciences Research, Agriculture Victoria, AgriBio, La Trobe UniversityBundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe UniversityBundoora, VIC, Australia
| | - John W. Forster
- Biosciences Research, Agriculture Victoria, AgriBio, La Trobe UniversityBundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe UniversityBundoora, VIC, Australia
| | - Sukhjiwan Kaur
- Biosciences Research, Agriculture Victoria, AgriBio, La Trobe UniversityBundoora, VIC, Australia
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Lee C, Yu D, Choi HK, Kim RW. Reconstruction of a composite comparative map composed of ten legume genomes. Genes Genomics 2016; 39:111-119. [PMID: 28090266 PMCID: PMC5196017 DOI: 10.1007/s13258-016-0481-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Accepted: 10/14/2016] [Indexed: 11/23/2022]
Abstract
The Fabaceae (legume family) is the third largest and the second of agricultural importance among flowering plant groups. In this study, we report the reconstruction of a composite comparative map composed of ten legume genomes, including seven species from the galegoid clade (Medicago truncatula, Medicago sativa, Lens culinaris, Pisum sativum, Lotus japonicus, Cicer arietinum, Vicia faba) and three species from the phaseoloid clade (Vigna radiata, Phaseolus vulgaris, Glycine max). To accomplish this comparison, a total of 209 cross-species gene-derived markers were employed. The comparative analysis resulted in a single extensive genetic/genomic network composed of 93 chromosomes or linkage groups, from which 110 synteny blocks and other evolutionary events (e.g., 13 inversions) were identified. This comparative map also allowed us to deduce several large scale evolutionary events, such as chromosome fusion/fission, with which might explain differences in chromosome numbers among compared species or between the two clades. As a result, useful properties of cross-species genic markers were re-verified as an efficient tool for cross-species translation of genomic information, and similar approaches, combined with a high throughput bioinformatic marker design program, should be effective for applying the knowledge of trait-associated genes to other important crop species for breeding purposes. Here, we provide a basic comparative framework for the ten legume species, and expect to be usefully applied towards the crop improvement in legume breeding.
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Affiliation(s)
- Chaeyoung Lee
- Department of Medical Bioscience, Graduate School, Dong-A University, Nakdong-Daero 550-Beongil 37, Saha-Gu, Busan, 49315 Republic of Korea
| | - Dongwoon Yu
- Department of Molecular Genetics, College of Natural Resources and Life Science, Dong-A University, Nakdong-Daero 550-Beongil 37, Saha-Gu, Busan, 49315 Republic of Korea
- SeqGenesis Inc., Gajeongbuk-Ro 96, Yuseong-Gu, Daejeon, 34111 Republic of Korea
| | - Hong-Kyu Choi
- Department of Molecular Genetics, College of Natural Resources and Life Science, Dong-A University, Nakdong-Daero 550-Beongil 37, Saha-Gu, Busan, 49315 Republic of Korea
| | - Ryan W. Kim
- Korea Bioinformation Center, Korea Research Institute of Bioscience & Biotechnology, Gwahak-Ro 125 Yuseong-Gu, Daejeon, 34141 Republic of Korea
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Jain S, Kumar A, Mamidi S, McPhee K. Genetic diversity and population structure among pea (Pisum sativum L.) cultivars as revealed by simple sequence repeat and novel genic markers. Mol Biotechnol 2014; 56:925-38. [PMID: 24894738 DOI: 10.1007/s12033-014-9772-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Field pea (Pisum sativum L.) is an important cool season legume crop widely grown around the world. This research provides a basis for selection of pea germplasm across geographical regions in current and future breeding and genetic mapping efforts for pea improvement. Eleven novel genic markers were developed from pea expressed sequence tag (EST) sequences having significant similarity with gene calls from Medicago truncatula spanning at least one intron. In this study, 96 cultivars widely grown or used in breeding programs in the USA and Canada were analyzed for genetic diversity using 31 microsatellite or simple sequence repeat (SSR) and 11 novel EST-derived genic markers. The polymorphic information content varied from 0.01-0.56 among SSR markers and 0.04-0.43 among genic markers. The results showed that SSR and EST-derived genic markers displayed one or more highly reproducible, multi-allelic, and easy to score loci ranging from 200 to 700 bp in size. Genetic diversity was assessed through unweighted neighbor-joining method, and 96 varieties were grouped into three main clusters based on the dissimilarity matrix. Four subpopulations were determined through STRUCTURE analysis with no significant geographic separation of the subpopulations. The findings of the present study can be used to select diverse genotypes to be used as parents of crosses aimed for breeding improved pea cultivars.
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Affiliation(s)
- Shalu Jain
- Department of Plant Sciences, North Dakota State University, Fargo, ND, 58108, USA
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Kaur S, Cogan NOI, Stephens A, Noy D, Butsch M, Forster JW, Materne M. EST-SNP discovery and dense genetic mapping in lentil (Lens culinaris Medik.) enable candidate gene selection for boron tolerance. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2014; 127:703-13. [PMID: 24370962 DOI: 10.1007/s00122-013-2252-0] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2013] [Accepted: 12/13/2013] [Indexed: 05/24/2023]
Abstract
Large-scale SNP discovery and dense genetic mapping in a lentil intraspecific cross permitted identification of a single chromosomal region controlling tolerance to boron toxicity, an important breeding objective. Lentil (Lens culinaris Medik.) is a highly nutritious food legume crop that is cultivated world-wide. Until recently, lentil has been considered a genomic 'orphan' crop, limiting the feasibility of marker-assisted selection strategies in breeding programs. The present study reports on the identification of single-nucleotide polymorphisms (SNPs) from transcriptome sequencing data, utilisation of expressed sequence tag (EST)-derived simple sequence repeat (SSR) and SNP markers for construction of a gene-based genetic linkage map, and identification of markers in close linkage to major QTLs for tolerance to boron (B) toxicity. A total of 2,956 high-quality SNP markers were identified from a lentil EST database. Sub-sets of 546 SSRs and 768 SNPs were further used for genetic mapping of an intraspecific mapping population (Cassab × ILL2024) that exhibits segregation for B tolerance. Comparative analysis of the lentil linkage map with the sequenced genomes of Medicago truncatula Gaertn., soybean (Glycine max [L.] Merr.) and Lotus japonicus L. indicated blocks of conserved macrosynteny, as well as a number of rearrangements. A single genomic region was found to be associated with variation for B tolerance in lentil, based on evaluation performed over 2 years. Comparison of flanking markers to genome sequences of model species (M. truncatula, soybean and Arabidopsis thaliana) identified candidate genes that are functionally associated with B tolerance, and could potentially be used for diagnostic marker development in lentil.
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Affiliation(s)
- 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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Kaur S, Kimber RBE, Cogan NOI, Materne M, Forster JW, Paull JG. SNP discovery and high-density genetic mapping in faba bean (Vicia faba L.) permits identification of QTLs for ascochyta blight resistance. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2014; 217-218:47-55. [PMID: 24467895 DOI: 10.1016/j.plantsci.2013.11.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2013] [Revised: 11/19/2013] [Accepted: 11/25/2013] [Indexed: 05/11/2023]
Abstract
Ascochyta blight, caused by the fungus Ascochyta fabae Speg., is a common and destructive disease of faba bean (Vicia faba L.) on a global basis. Yield losses vary from typical values of 35-40% to 90% under specific environmental conditions. Several sources of resistance have been identified and used in breeding programs. However, introgression of the resistance gene determinants into commercial cultivars as a gene pyramiding approach is reliant on selection of closely linked genetic markers. A total of 14,552 base variants were identified from a faba bean expressed sequence tag (EST) database, and were further quality assessed to obtain a set of 822 high-quality single nucleotide polymorphisms (SNPs). Sub-sets of 336 EST-derived simple sequence repeats (SSRs) and 768 SNPs were further used for high-density genetic mapping of a biparental faba bean mapping population (Icarus×Ascot) that segregates for resistance to ascochyta blight. The linkage map spanned a total length of 1216.8 cM with 12 linkage groups (LGs) and an average marker interval distance of 2.3 cM. Comparison of map structure to the genomes of closely related legume species revealed a high degree of conserved macrosynteny, as well as some rearrangements. Based on glasshouse evaluation of ascochyta blight resistance performed over two years, four genomic regions controlling resistance were identified on Chr-II, Chr-VI and two regions on Chr-I.A. Of these, one (QTL-3) may be identical with quantitative trait loci (QTLs) identified in prior studies, while the others (QTL-1, QTL-2 and QTL-4) may be novel. Markers in close linkage to ascochyta blight resistance genes identified in this study can be further validated and effectively implemented in faba bean breeding programs.
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Affiliation(s)
- 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, Victoria 3083, Australia
| | - Rohan B E Kimber
- South Australian Research and Development Institute, GPO Box 397, Adelaide, South Australia 5001, Australia
| | - Noel O I 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, Victoria 3083, Australia
| | - Michael Materne
- Department of Environment and Primary Industries, Biosciences Research Division, Grains Innovation Park, PMB 260, Horsham, Victoria 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, Victoria 3083, Australia; La Trobe University, Bundoora, Victoria 3086, Australia.
| | - Jeffrey G Paull
- School of Agriculture, Food and Wine, The University of Adelaide, Waite Campus, Glen Osmond, South Australia 5064, Australia
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Satovic Z, Avila CM, Cruz-Izquierdo S, Díaz-Ruíz R, García-Ruíz GM, Palomino C, Gutiérrez N, Vitale S, Ocaña-Moral S, Gutiérrez MV, Cubero JI, Torres AM. A reference consensus genetic map for molecular markers and economically important traits in faba bean (Vicia faba L.). BMC Genomics 2013; 14:932. [PMID: 24377374 PMCID: PMC3880837 DOI: 10.1186/1471-2164-14-932] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2013] [Accepted: 12/12/2013] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Faba bean (Vicia faba L.) is among the earliest domesticated crops from the Near East. Today this legume is a key protein feed and food worldwide and continues to serve an important role in culinary traditions throughout Middle East, Mediterranean region, China and Ethiopia. Adapted to a wide range of soil types, the main faba bean breeding objectives are to improve yield, resistance to biotic and abiotic stresses, seed quality and other agronomic traits. Genomic approaches aimed at enhancing faba bean breeding programs require high-quality genetic linkage maps to facilitate quantitative trait locus analysis and gene tagging for use in a marker-assisted selection. The objective of this study was to construct a reference consensus map in faba bean by joining the information from the most relevant maps reported so far in this crop. RESULTS A combination of two approaches, increasing the number of anchor loci in diverse mapping populations and joining the corresponding genetic maps, was used to develop a reference consensus map in faba bean. The map was constructed from three main recombinant inbreed populations derived from four parental lines, incorporates 729 markers and is based on 69 common loci. It spans 4,602 cM with a range from 323 to 1041 loci in six main linkage groups or chromosomes, and an average marker density of one locus every 6 cM. Locus order is generally well maintained between the consensus map and the individual maps. CONCLUSION We have constructed a reliable and fairly dense consensus genetic linkage map that will serve as a basis for genomic approaches in faba bean research and breeding. The core map contains a larger number of markers than any previous individual map, covers existing gaps and achieves a wider coverage of the large faba bean genome as a whole. This tool can be used as a reference resource for studies in different genetic backgrounds, and provides a framework for transferring genetic information when using different marker technologies. Combined with syntenic approaches, the consensus map will increase marker density in selected genomic regions and will be useful for future faba bean molecular breeding applications.
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Affiliation(s)
- Zlatko Satovic
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
- Present addresses: Department of Seed Science and Technology, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| | - Carmen M Avila
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
| | - Serafin Cruz-Izquierdo
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
- Colegio de Postgraduados, Recursos Genéticos y Productividad – Genética, Campus Montecillo, Km 36.5 Carretera México-Texcoco, C.P., Texcoco, Edo. de México 56230, México
| | - Ramón Díaz-Ruíz
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
- Colegio de Postgraduados, Campus Puebla, Km 125.5 Carretera México-Puebla, C.P., Puebla, Pue 72760, México
| | - Gloria M García-Ruíz
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
| | - Carmen Palomino
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
| | - Natalia Gutiérrez
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
| | - Stefania Vitale
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
| | - Sara Ocaña-Moral
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
| | - María Victoria Gutiérrez
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
| | - José I Cubero
- Departamento de Mejora Genética, IAS-CSIC, Apdo. 4084, Córdoba 14080, Spain
| | - Ana M Torres
- IFAPA, Centro Alameda del Obispo, Área de Mejora y Biotecnología, Avda. Menéndez Pidal s/n, Apdo. 3092, Córdoba 14080, Spain
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Jain S, McPhee KE. Isolation and characterization of novel EST-derived genic markers in Pisum sativum (Fabaceae). APPLICATIONS IN PLANT SCIENCES 2013; 1:apps.1300026. [PMID: 25202494 PMCID: PMC4103456 DOI: 10.3732/apps.1300026] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/01/2013] [Accepted: 06/17/2013] [Indexed: 06/03/2023]
Abstract
UNLABELLED PREMISE OF THE STUDY Novel markers were developed for pea (Pisum sativum) from pea expressed sequence tags (ESTs) having significant homology to Medicago truncatula gene sequences to investigate genetic diversity, linkage mapping, and cross-species transferability. • METHODS AND RESULTS Seventy-seven EST-derived genic markers were developed through comparative mapping between M. truncatula and P. sativum in which 75 markers produced PCR products and 33 were polymorphic among 16 pea genotypes. • CONCLUSIONS The novel markers described here will be useful for future genetic studies of P. sativum; their amplification in lentil (Lens culinaris) demonstrates their potential for use in closely related species.
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Affiliation(s)
- Shalu Jain
- Department of Plant Sciences, North Dakota State University Fargo, North Dakota 58108-6050 USA
| | - Kevin E. McPhee
- Department of Plant Sciences, North Dakota State University Fargo, North Dakota 58108-6050 USA
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Cruz-Izquierdo S, Avila CM, Satovic Z, Palomino C, Gutierrez N, Ellwood SR, Phan HTT, Cubero JI, Torres AM. Comparative genomics to bridge Vicia faba with model and closely-related legume species: stability of QTLs for flowering and yield-related traits. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2012; 125:1767-82. [PMID: 22864387 DOI: 10.1007/s00122-012-1952-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2012] [Accepted: 07/21/2012] [Indexed: 05/20/2023]
Abstract
This study presents the development of an enhanced map in faba bean. The map contains 258 loci, mostly gene-based markers, organized in 16 linkage groups that expand 1,875 cM, with an average inter-marker distance of 7.26 cM. The combination of EST-derived markers with a number of markers physically located or previously ascribed to chromosomes by trisomic segregation, allowed the allocation of eight linkage groups (229 markers), to specific chromosomes. Moreover, this approach provided anchor points to establish a global homology among the faba bean chromosomes and those of closely-related legumes species. The map was used to identify and validate, for the first time, QTLs controlling five flowering and reproductive traits: days to flowering, flowering length, pod length, number of seeds per pod and number of ovules per pod. Twelve QTLs stable in the 2 years of evaluation were identified in chromosomes II, V and VI. Comparative mapping suggested the conservation of one of the faba bean genomic regions controlling the character days to flowering in other five legume species (Medicago, Lotus, pea, lupine, chickpea). Additional syntenic co-localizations of QTLs controlling pod length and number of seeds per pod between faba bean and Lotus japonicus are likely. The new genetic map opens the way for further translational studies between faba bean and related legume species, and provides an efficient tool for breeding applications such as QTL analysis and marker-assisted selection.
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Affiliation(s)
- S Cruz-Izquierdo
- Área de Mejora y Biotecnología, IFAPA, Centro Alameda del Obispo, Apdo. 3092, 14080 Córdoba, Spain
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Bordat A, Savois V, Nicolas M, Salse J, Chauveau A, Bourgeois M, Potier J, Houtin H, Rond C, Murat F, Marget P, Aubert G, Burstin J. Translational Genomics in Legumes Allowed Placing In Silico 5460 Unigenes on the Pea Functional Map and Identified Candidate Genes in Pisum sativum L. G3 (BETHESDA, MD.) 2011; 1:93-103. [PMID: 22384322 PMCID: PMC3276132 DOI: 10.1534/g3.111.000349] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2011] [Accepted: 05/06/2011] [Indexed: 12/31/2022]
Abstract
To identify genes involved in phenotypic traits, translational genomics from highly characterized model plants to poorly characterized crop plants provides a valuable source of markers to saturate a zone of interest as well as functionally characterized candidate genes. In this paper, an integrated view of the pea genetic map was developed. A series of gene markers were mapped and their best reciprocal homologs were identified on M. truncatula, L. japonicus, soybean, and poplar pseudomolecules. Based on the syntenic relationships uncovered between pea and M. truncatula, 5460 pea Unigenes were tentatively placed on the consensus map. A new bioinformatics tool, http://www.thelegumeportal.net/pea_mtr_translational_toolkit, was developed that allows, for any gene sequence, to search its putative position on the pea consensus map and hence to search for candidate genes among neighboring Unigenes. As an example, a promising candidate gene for the hypernodulation mutation nod3 in pea was proposed based on the map position of the likely homolog of Pub1, a M. truncatula gene involved in nodulation regulation. A broader view of pea genome evolution was obtained by revealing syntenic relationships between pea and sequenced genomes. Blocks of synteny were identified which gave new insights into the evolution of chromosome structure in Papillionoids and Eudicots. The power of the translational genomics approach was underlined.
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Sonnante G, Hammer K, Pignone D. From the cradle of agriculture a handful of lentils: History of domestication. ACTA ACUST UNITED AC 2009. [DOI: 10.1007/s12210-009-0002-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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12
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George J, Sawbridge TI, Cogan NOI, Gendall AR, Smith KF, Spangenberg GC, Forster JW. Comparison of genome structure between white clover and Medicago truncatula supports homoeologous group nomenclature based on conserved synteny. Genome 2009; 51:905-11. [PMID: 18956023 DOI: 10.1139/g08-076] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Computational analysis has been used to align the genetic map of white clover (Trifolium repens L.) with the draft genome sequence of the model legume species Medicago truncatula Gaertn. In silico comparison based on white clover expressed sequence tags that contain simple sequence repeat loci revealed substantial macrosynteny between the genomes of these two species, which are closely related within the Trifolieae tribe of the Fabaceae family. Six of the eight homoeologous chromosome groups (HGs) of allotetraploid white clover show predominant relationships with single M. truncatula (Mt) chromosomes, while the two remaining groups may have participated in an evolutionary reciprocal translocation event. On this basis, a new chromosome nomenclature system for allotetraploid white clover is proposed such that HG A = 3, HG B = 8, HG C = 7, HG D = 4, HG E = 1, HG F = 2, HG G = 5, and HG H = 6. A rationalized linkage map ordering system has also been demonstrated. Improved knowledge of the relationships between agricultural and model forage legume genomes will facilitate prediction of gene location for key agronomic traits for pasture production.
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Affiliation(s)
- Julie George
- Department of Primary Industries, Biosciences Research Division, Victorian AgriBiosciences Centre, La Trobe University Research and Development Park, Bundoora, Victoria 3083, Australia
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Hougaard BK, Madsen LH, Sandal N, de Carvalho Moretzsohn M, Fredslund J, Schauser L, Nielsen AM, Rohde T, Sato S, Tabata S, Bertioli DJ, Stougaard J. Legume anchor markers link syntenic regions between Phaseolus vulgaris, Lotus japonicus, Medicago truncatula and Arachis. Genetics 2008; 179:2299-312. [PMID: 18689902 PMCID: PMC2516099 DOI: 10.1534/genetics.108.090084] [Citation(s) in RCA: 84] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2008] [Accepted: 06/03/2008] [Indexed: 01/04/2023] Open
Abstract
We have previously described a bioinformatics pipeline identifying comparative anchor-tagged sequence (CATS) loci, combined with design of intron-spanning primers. The derived anchor markers defining the linkage position of homologous genes are essential for evaluating genome conservation among related species and facilitate transfer of genetic and genome information between species. Here we validate this global approach in the common bean and in the AA genome complement of the allotetraploid peanut. We present the successful conversion of approximately 50% of the bioinformatics-defined primers into legume anchor markers in bean and diploid Arachis species. One hundred and four new loci representing single-copy genes were added to the existing bean map. These new legume anchor-marker loci enabled the alignment of genetic linkage maps through corresponding genes and provided an estimate of the extent of synteny and collinearity. Extensive macrosynteny between Lotus and bean was uncovered on 8 of the 11 bean chromosomes and large blocks of macrosynteny were also found between bean and Medicago. This suggests that anchor markers can facilitate a better understanding of the genes and genetics of important traits in crops with largely uncharacterized genomes using genetic and genome information from related model plants.
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Affiliation(s)
- Birgit Kristine Hougaard
- Laboratory of Gene Expression, Department of Molecular Biology, University of Aarhus, DK-8000, Aarhus C, Denmark
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Phan HTT, Ellwood SR, Adhikari K, Nelson MN, Oliver RP. The first genetic and comparative map of white lupin (Lupinus albus L.): identification of QTLs for anthracnose resistance and flowering time, and a locus for alkaloid content. DNA Res 2007; 14:59-70. [PMID: 17526914 PMCID: PMC2779896 DOI: 10.1093/dnares/dsm009] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2007] [Revised: 04/13/2007] [Indexed: 11/13/2022] Open
Abstract
We report the first genetic linkage map of white lupin (Lupinus albus L.). An F8 recombinant inbred line population developed from Kiev mutant x P27174 was mapped with 220 amplified fragment length polymorphism and 105 gene-based markers. The genetic map consists of 28 main linkage groups (LGs) that varied in length from 22.7 cM to 246.5 cM and spanned a total length of 2951 cM. There were seven additional pairs and 15 unlinked markers, and 12.8% of markers showed segregation distortion at P < 0.05. Syntenic relationships between Medicago truncatula and L. albus were complex. Forty-five orthologous markers that mapped between M. truncatula and L. albus identified 17 small syntenic blocks, and each M. truncatula chromosome aligned to between one and six syntenic blocks in L. albus. Genetic mapping of three important traits: anthracnose resistance, flowering time, and alkaloid content allowed loci governing these traits to be defined. Two quantitative trait loci (QTLs) with significant effects were identified for anthracnose resistance on LG4 and LG17, and two QTLs were detected for flowering time on the top of LG1 and LG3. Alkaloid content was mapped as a Mendelian trait to LG11.
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Affiliation(s)
- Huyen T. T. Phan
- Australian Centre for Necrotrophic Fungal Pathogens, SABC, Department of Health Sciences, Murdoch University, Murdoch 6150, Australia
| | - Simon R. Ellwood
- Australian Centre for Necrotrophic Fungal Pathogens, SABC, Department of Health Sciences, Murdoch University, Murdoch 6150, Australia
| | - Kedar Adhikari
- Department of Agriculture and Food Western Australia, 3 Baron-Hay Court, South Perth 6151, Australia
- Centre for Legumes in Mediterranean Agriculture, Faculty of Natural and Agricultural Sciences, University of Western Australia, Crawley 6009, Australia
| | - Matthew N. Nelson
- School of Plant Biology, Faculty of Natural and Agricultural Sciences, The University of Western Australia, Crawley 6009, Australia
| | - Richard P. Oliver
- Australian Centre for Necrotrophic Fungal Pathogens, SABC, Department of Health Sciences, Murdoch University, Murdoch 6150, Australia
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