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Balech R, Maalouf F, Kaur S, Jighly A, Joukhadar R, Alsamman AM, Hamwieh A, Khater LA, Rubiales D, Kumar S. Identification of novel genes associated with herbicide tolerance in Lentil (Lens culinaris ssp. culinaris Medik.). Sci Rep 2024; 14:10215. [PMID: 38702403 PMCID: PMC11068770 DOI: 10.1038/s41598-024-59695-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 04/15/2024] [Indexed: 05/06/2024] Open
Abstract
Weeds pose a major constraint in lentil cultivation, leading to decrease farmers' revenues by reducing the yield and increasing the management costs. The development of herbicide tolerant cultivars is essential to increase lentil yield. Even though herbicide tolerant lines have been identified in lentils, breeding efforts are still limited and lack proper validation. Marker assisted selection (MAS) can increase selection accuracy at early generations. Total 292 lentil accessions were evaluated under different dosages of two herbicides, metribuzin and imazethapyr, during two seasons at Marchouch, Morocco and Terbol, Lebanon. Highly significant differences among accessions were observed for days to flowering (DF) and maturity (DM), plant height (PH), biological yield (BY), seed yield (SY), number of pods per plant (NP), as well as the reduction indices (RI) for PH, BY, SY and NP. A total of 10,271 SNPs markers uniformly distributed along the lentil genome were assayed using Multispecies Pulse SNP chip developed at Agriculture Victoria, Melbourne. Meta-GWAS analysis was used to detect marker-trait associations, which detected 125 SNPs markers associated with different traits and clustered in 85 unique quantitative trait loci. These findings provide valuable insights for initiating MAS programs aiming to enhance herbicide tolerance in lentil crop.
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Affiliation(s)
- Rind Balech
- International Center for Agricultural Research in the Dry Areas (ICARDA), Terbol, Lebanon.
| | - Fouad Maalouf
- International Center for Agricultural Research in the Dry Areas (ICARDA), Terbol, Lebanon.
| | - Sukhjiwan Kaur
- Department of Energy, AgriBio, Environment and Climate Action, Centre for AgriBioscience, 5 Ring Road, Bundoora, VIC, 3083, Australia
| | - Abdulqader Jighly
- Department of Energy, AgriBio, Environment and Climate Action, Centre for AgriBioscience, 5 Ring Road, Bundoora, VIC, 3083, Australia
| | - Reem Joukhadar
- Department of Energy, AgriBio, Environment and Climate Action, Centre for AgriBioscience, 5 Ring Road, Bundoora, VIC, 3083, Australia
| | | | | | - Lynn Abou Khater
- International Center for Agricultural Research in the Dry Areas (ICARDA), Terbol, Lebanon
| | - Diego Rubiales
- Institute for Sustainable Agriculture, CSIC, Córdoba, Spain
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Gebremedhin A, Li Y, Shunmugam ASK, Sudheesh S, Valipour-Kahrood H, Hayden MJ, Rosewarne GM, Kaur S. Genomic selection for target traits in the Australian lentil breeding program. FRONTIERS IN PLANT SCIENCE 2024; 14:1284781. [PMID: 38235201 PMCID: PMC10791954 DOI: 10.3389/fpls.2023.1284781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/07/2023] [Indexed: 01/19/2024]
Abstract
Genomic selection (GS) uses associations between markers and phenotypes to predict the breeding values of individuals. It can be applied early in the breeding cycle to reduce the cross-to-cross generation interval and thereby increase genetic gain per unit of time. The development of cost-effective, high-throughput genotyping platforms has revolutionized plant breeding programs by enabling the implementation of GS at the scale required to achieve impact. As a result, GS is becoming routine in plant breeding, even in minor crops such as pulses. Here we examined 2,081 breeding lines from Agriculture Victoria's national lentil breeding program for a range of target traits including grain yield, ascochyta blight resistance, botrytis grey mould resistance, salinity and boron stress tolerance, 100-grain weight, seed size index and protein content. A broad range of narrow-sense heritabilities was observed across these traits (0.24-0.66). Genomic prediction models were developed based on 64,781 genome-wide SNPs using Bayesian methodology and genomic estimated breeding values (GEBVs) were calculated. Forward cross-validation was applied to examine the prediction accuracy of GS for these targeted traits. The accuracy of GEBVs was consistently higher (0.34-0.83) than BLUP estimated breeding values (EBVs) (0.22-0.54), indicating a higher expected rate of genetic gain with GS. GS-led parental selection using early generation breeding materials also resulted in higher genetic gain compared to BLUP-based selection performed using later generation breeding lines. Our results show that implementing GS in lentil breeding will fast track the development of high-yielding cultivars with increased resistance to biotic and abiotic stresses, as well as improved seed quality traits.
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Affiliation(s)
- Alem Gebremedhin
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia
| | - Yongjun Li
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia
| | | | - Shimna Sudheesh
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia
| | | | - Matthew J. Hayden
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
| | | | - Sukhjiwan Kaur
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora, VIC, Australia
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3
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Weldemichael MY, Gebremedhn HM. Omics technologies towards sesame improvement: a review. Mol Biol Rep 2023; 50:6885-6899. [PMID: 37326753 DOI: 10.1007/s11033-023-08551-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 05/26/2023] [Indexed: 06/17/2023]
Abstract
Genetic improvement of sesame (Sesamum indicum L.), one of the most important oilseed crops providing edible oil, proteins, minerals, and vitamins, is important to ensure a balanced diet for the growing world population. Increasing yield, seed protein, oil, minerals, and vitamins is urgently needed to meet the global demand. The production and productivity of sesame is very low due to various biotic and abiotic stresses. Therefore, various efforts have been made to combat these constraints and increase the production and productivity of sesame through conventional breeding. However, less attention has been paid to the genetic improvement of the crop through modern biotechnological methods, leaving it lagging behind other oilseed crops. Recently, however, the scenario has changed as sesame research has entered the era of "omics" and has made significant progress. Therefore, the purpose of this paper is to provide an overview of the progress made by omics research in improving sesame. This review presents a number of efforts that have been made over past decade using omics technologies to improve various traits of sesame, including seed composition, yield, and biotic and abiotic resistant varieties. It summarizes the advances in genetic improvement of sesame using omics technologies, such as germplasm development (web-based functional databases and germplasm resources), gene discovery (molecular markers and genetic linkage map construction), proteomics, transcriptomics, and metabolomics that have been carried out in the last decade. In conclusion, this review highlights future directions that may be important for omics-assisted breeding in sesame genetic improvement.
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Affiliation(s)
- Micheale Yifter Weldemichael
- Department of Biotechnology, College of Dryland Agriculture and Natural Resources, Mekelle University, P.O. Box 231, Mekelle, Tigrai, Ethiopia.
| | - Hailay Mehari Gebremedhn
- Department of Biotechnology, College of Dryland Agriculture and Natural Resources, Mekelle University, P.O. Box 231, Mekelle, Tigrai, Ethiopia
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Topu M, Sesiz U, Bektaş H, Toklu F, Özkan H. Next-Generation-Sequencing-Based Simple Sequence Repeat (SSR) Marker Development and Linkage Mapping in Lentil ( Lens culinaris L.). Life (Basel) 2023; 13:1579. [PMID: 37511954 PMCID: PMC10381664 DOI: 10.3390/life13071579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 07/04/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
Simple sequence repeats (SSRs) are highly versatile markers in genetic diversity analysis and plant breeding, making them widely applicable. They hold potential in lentil (Lens culinaris) breeding for genetic diversity analysis, marker-assisted selection (MAS), and linkage mapping. However, the availability and diversity of SSR markers in lentil is limited. We used next-generation sequencing (NGS) technology to develop SSR markers in lentil. NGS allowed us to identify regions of the lentil genome that contained SSRs. Illumina Hiseq-2000 sequencing of the lentil genotype "Karacadağ" resulted in 1,727,734 sequence reads comprising more than 48,390 Mb, and contigs were mined for SSRs, resulting in the identification of a total of 8697 SSR motifs. Among these, dinucleotide repeats were the most abundant (53.38%), followed by trinucleotides (30.38%), hexanucleotides (6.96%), tetranucleotides (6.59%), and pentanucleotides (3.19%). The most frequent repeat in dinucleotides was the TC (21.80%), followed by the GA (17.60%). A total of 2000 primer pairs were designed from these motifs, and 458 SSR markers were validated following their amplified PCR products. A linkage map was constructed using these new SSRs with high linkage disequilibrium (209) and previously known SSRs (11). The highest number of SSR markers (43) was obtained in LG2, while the lowest number of SSR markers (19) was obtained in LG7. The longest linkage group (LG) was LG2 (86.84 cM), whereas the shortest linkage group was LG7 (53.46 cM). The average length between markers ranged from 1.86 cM in LG1 to 2.81 cM in LG7, and the map density was 2.16 cM. The developed SSRs and created linkage map may provide useful information and offer a new library for genetic diversity analyses, linkage mapping studies, and lentil breeding programs.
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Affiliation(s)
- Mustafa Topu
- Department of Biotechnology, Institute of Natural and Applied Sciences, Çukurova University, 01330 Adana, Turkey
| | - Uğur Sesiz
- Department of Field Crops, Faculty of Agriculture, Çukurova University, 01330 Adana, Turkey
- Department of Field Crops, Faculty of Agriculture, Şırnak University, 73300 Şırnak, Turkey
| | - Harun Bektaş
- Department of Agricultural Biotechnology, Faculty of Agriculture, Siirt University, 56100 Siirt, Turkey
| | - Faruk Toklu
- Department of Biotechnology, Institute of Natural and Applied Sciences, Çukurova University, 01330 Adana, Turkey
- Department of Field Crops, Faculty of Agriculture, Çukurova University, 01330 Adana, Turkey
| | - Hakan Özkan
- Department of Biotechnology, Institute of Natural and Applied Sciences, Çukurova University, 01330 Adana, Turkey
- Department of Field Crops, Faculty of Agriculture, Çukurova University, 01330 Adana, Turkey
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Zhao N, Xue D, Miao Y, Wang Y, Zhou E, Zhou Y, Yao M, Gu C, Wang K, Li B, Wei L, Wang X. Construction of a high-density genetic map for faba bean ( Vicia faba L.) and quantitative trait loci mapping of seed-related traits. FRONTIERS IN PLANT SCIENCE 2023; 14:1201103. [PMID: 37351218 PMCID: PMC10282779 DOI: 10.3389/fpls.2023.1201103] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 05/10/2023] [Indexed: 06/24/2023]
Abstract
Faba bean (Vicia faba L.) is a valuable legume crop and data on its seed-related traits is required for yield and quality improvements. However, basic research on faba bean is lagging compared to that of other major crops. In this study, an F2 faba bean population, including 121 plants derived from the cross WY7×TCX7, was genotyped using the Faba_bean_130 K targeted next-generation sequencing genotyping platform. The data were used to construct the first ultra-dense faba bean genetic map consisting of 12,023 single nucleotide polymorphisms markers covering 1,182.65 cM with an average distance of 0.098 cM. The map consisted of 6 linkage groups, which is consistent with the 6 faba bean chromosome pairs. A total of 65 quantitative trait loci (QTL) for seed-related traits were identified (3 for 100-seed weight, 28 for seed shape, 12 for seed coat color, and 22 for nutritional quality). Furthermore, 333 candidate genes that are likely to participate in the regulation of seed-related traits were also identified. Our research findings can provide a basis for future faba bean marker-assisted breeding and be helpful to further modify and improve the reference genome.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Libin Wei
- *Correspondence: Libin Wei, ; Xuejun Wang,
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Rajpal VR, Singh A, Kathpalia R, Thakur RK, Khan MK, Pandey A, Hamurcu M, Raina SN. The Prospects of gene introgression from crop wild relatives into cultivated lentil for climate change mitigation. FRONTIERS IN PLANT SCIENCE 2023; 14:1127239. [PMID: 36998696 PMCID: PMC10044020 DOI: 10.3389/fpls.2023.1127239] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 02/22/2023] [Indexed: 05/31/2023]
Abstract
Crop wild relatives (CWRs), landraces and exotic germplasm are important sources of genetic variability, alien alleles, and useful crop traits that can help mitigate a plethora of abiotic and biotic stresses and crop yield reduction arising due to global climatic changes. In the pulse crop genus Lens, the cultivated varieties have a narrow genetic base due to recurrent selections, genetic bottleneck and linkage drag. The collection and characterization of wild Lens germplasm resources have offered new avenues for the genetic improvement and development of stress-tolerant, climate-resilient lentil varieties with sustainable yield gains to meet future food and nutritional requirements. Most of the lentil breeding traits such as high-yield, adaptation to abiotic stresses and resistance to diseases are quantitative and require the identification of quantitative trait loci (QTLs) for marker assisted selection and breeding. Advances in genetic diversity studies, genome mapping and advanced high-throughput sequencing technologies have helped identify many stress-responsive adaptive genes, quantitative trait loci (QTLs) and other useful crop traits in the CWRs. The recent integration of genomics technologies with plant breeding has resulted in the generation of dense genomic linkage maps, massive global genotyping, large transcriptomic datasets, single nucleotide polymorphisms (SNPs), expressed sequence tags (ESTs) that have advanced lentil genomic research substantially and allowed for the identification of QTLs for marker-assisted selection (MAS) and breeding. Assembly of lentil and its wild species genomes (~4Gbp) opens up newer possibilities for understanding genomic architecture and evolution of this important legume crop. This review highlights the recent strides in the characterization of wild genetic resources for useful alleles, development of high-density genetic maps, high-resolution QTL mapping, genome-wide studies, MAS, genomic selections, new databases and genome assemblies in traditionally bred genus Lens for future crop improvement amidst the impending global climate change.
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Affiliation(s)
- Vijay Rani Rajpal
- Department of Botany, Hansraj College, University of Delhi, Delhi, India
| | - Apekshita Singh
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Sector 125, Noida, U.P., India
| | - Renu Kathpalia
- Department of Botany, Kirori Mal College, University of Delhi, Delhi, India
| | - Rakesh Kr. Thakur
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Sector 125, Noida, U.P., India
| | - Mohd. Kamran Khan
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, Türkiye
| | - Anamika Pandey
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, Türkiye
| | - Mehmet Hamurcu
- Department of Soil Science and Plant Nutrition, Faculty of Agriculture, Selcuk University, Konya, Türkiye
| | - Soom Nath Raina
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Sector 125, Noida, U.P., India
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Dutta H, K. M. S, Aski MS, Mishra GP, Sinha SK, Vijay D, C. T. MP, Das S, Pawar PAM, Mishra DC, Singh AK, Kumar A, Tripathi K, Kumar RR, Gupta S, Kumar S, Dikshit HK. Morpho-biochemical characterization of a RIL population for seed parameters and identification of candidate genes regulating seed size trait in lentil ( Lens culinaris Medik.). FRONTIERS IN PLANT SCIENCE 2023; 14:1091432. [PMID: 36875597 PMCID: PMC9975752 DOI: 10.3389/fpls.2023.1091432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/31/2023] [Indexed: 06/18/2023]
Abstract
The seed size and shape in lentil (Lens culinaris Medik.) are important quality traits as these influences the milled grain yield, cooking time, and market class of the grains. Linkage analysis was done for seed size in a RIL (F5:6) population derived by crossing L830 (20.9 g/1000 seeds) with L4602 (42.13 g/1000 seeds) which consisted of 188 lines (15.0 to 40.5 g/1000 seeds). Parental polymorphism survey using 394 SSRs identified 31 polymorphic primers, which were used for the bulked segregant analysis (BSA). Marker PBALC449 differentiated the parents and small seed size bulk only, whereas large seeded bulk or the individual plants constituting the large-seeded bulk could not be differentiated. Single plant analysis identified only six recombinant and 13 heterozygotes, of 93 small-seeded RILs (<24.0 g/1000 seed). This clearly showed that the small seed size trait is very strongly regulated by the locus near PBLAC449; whereas, large seed size trait seems governed by more than one locus. The PCR amplified products from the PBLAC449 marker (149bp from L4602 and 131bp from L830) were cloned, sequenced and BLAST searched using the lentil reference genome and was found amplified from chromosome 03. Afterward, the nearby region on chromosome 3 was searched, and a few candidate genes like ubiquitin carboxyl-terminal hydrolase, E3 ubiquitin ligase, TIFY-like protein, and hexosyltransferase having a role in seed size determination were identified. Validation study in another RIL mapping population which is differing for seed size, showed a number of SNPs and InDels among these genes when studied using whole genome resequencing (WGRS) approach. Biochemical parameters like cellulose, lignin, and xylose content showed no significant differences between parents and the extreme RILs, at maturity. Various seed morphological traits like area, length, width, compactness, volume, perimeter, etc., when measured using VideometerLab 4.0 showed significant differences for the parents and RILs. The results have ultimately helped in better understanding the region regulating the seed size trait in genomically less explored crops like lentils.
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Affiliation(s)
- Haragopal Dutta
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Shivaprasad K. M.
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Muraleedhar S. Aski
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Gyan P. Mishra
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
| | - Subodh Kumar Sinha
- Indian Council of Agricultural Research (ICAR)-National Institute for Plant Biotechnology, New Delhi, India
| | - Dunna Vijay
- Division of Seed Science and Technology, Indian Agricultural Research Institute, New Delhi, India
| | - Manjunath Prasad C. T.
- Division of Seed Science and Technology, Indian Agricultural Research Institute, New Delhi, India
| | - Shouvik Das
- Laboratory of Plant Cell Wall Biology, Regional Centre for Biotechnology, Faridabad, India
| | | | - Dwijesh C. Mishra
- Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Amit Kumar Singh
- Division of Genomic Resources, National Bureau of Plant Genetic Resources, New Delhi, India
| | - Atul Kumar
- Division of Seed Science and Technology, Indian Agricultural Research Institute, New Delhi, India
| | - Kuldeep Tripathi
- Germplasm Evaluation Division, National Bureau of Plant Genetic Resources, New Delhi, India
| | - Ranjeet Ranjan Kumar
- Division of Biochemistry, Indian Agricultural Research Institute, New Delhi, India
| | - Sanjeev Gupta
- Krishi Bhawan, Indian Council of Agricultural Research, New Delhi, India
| | - Shiv Kumar
- South Asia and China Program, International Center for Agricultural Research in the Dry Areas, National Agriculture Science Complex (NASC) Complex, New Delhi, India
| | - Harsh Kumar Dikshit
- Division of Genetics, Indian Agricultural Research Institute, New Delhi, India
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Yigezu YA, Rahman MW, El-Shater T, Alene AD, Sarker A, Kumar S, Frija A. Plot-level impacts of improved lentil varieties in Bangladesh. PLoS One 2022; 17:e0262146. [PMID: 35077446 PMCID: PMC8789100 DOI: 10.1371/journal.pone.0262146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 12/17/2021] [Indexed: 11/18/2022] Open
Abstract
The advent of improved lentil varieties (ILVs) in the mid-1990s solved the disease problem which almost halted lentil production in Bangladesh. Levels of adoption of ILVs have been documented in the literature, but little is known about their impacts. Applying an instrumental variables regression to data collected from a sample of 1,694 lentil plots and DNA fingerprinting for varietal identification, this study provides estimates of the plot-level impacts of adoption of ILVs in Bangladesh. Model results show that adoption of ILVs is associated with 14.3% (181.14 kg/ha) higher yields and 17.23% (US$169.44/ha) higher gross margins. Since 45% of lentil area is under ILVs, they generated over 8.77 tones (6%) more supply of lentils from domestic sources, saving the country US$8.22 million in imports in 2015 alone. By investing in the generation and scaling of ILVs, Bangladesh and other South Asian countries with similar agro-ecologies can increase production and decrease dependency on lentil imports.
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Affiliation(s)
- Yigezu Atnafe Yigezu
- International Center for Agricultural Research in the Dry Areas (ICARDA), Cairo, Egypt
- * E-mail:
| | | | - Tamer El-Shater
- International Center for Agricultural Research in the Dry Areas (ICARDA), Al-Sweida, Syria
| | - Arega D. Alene
- International Institute of Tropical Agriculture (IITA), Lilongwe, Malawi
| | - Ashutosh Sarker
- International Center for Agricultural Research in the Dry Areas (ICARDA), New Delhi, India
| | - Shiv Kumar
- International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat, Morocco
| | - Aymen Frija
- International Center for Agricultural Research in the Dry Areas (ICARDA), Tunis, Tunisia
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Tiwari M, Singh B, Min D, Jagadish SVK. Omics Path to Increasing Productivity in Less-Studied Crops Under Changing Climate-Lentil a Case Study. FRONTIERS IN PLANT SCIENCE 2022; 13:813985. [PMID: 35615121 PMCID: PMC9125188 DOI: 10.3389/fpls.2022.813985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 04/04/2022] [Indexed: 05/08/2023]
Abstract
Conventional breeding techniques for crop improvement have reached their full potential, and hence, alternative routes are required to ensure a sustained genetic gain in lentils. Although high-throughput omics technologies have been effectively employed in major crops, less-studied crops such as lentils have primarily relied on conventional breeding. Application of genomics and transcriptomics in lentils has resulted in linkage maps and identification of QTLs and candidate genes related to agronomically relevant traits and biotic and abiotic stress tolerance. Next-generation sequencing (NGS) complemented with high-throughput phenotyping (HTP) technologies is shown to provide new opportunities to identify genomic regions and marker-trait associations to increase lentil breeding efficiency. Recent introduction of image-based phenotyping has facilitated to discern lentil responses undergoing biotic and abiotic stresses. In lentil, proteomics has been performed using conventional methods such as 2-D gel electrophoresis, leading to the identification of seed-specific proteome. Metabolomic studies have led to identifying key metabolites that help differentiate genotypic responses to drought and salinity stresses. Independent analysis of differentially expressed genes from publicly available transcriptomic studies in lentils identified 329 common transcripts between heat and biotic stresses. Similarly, 19 metabolites were common across legumes, while 31 were common in genotypes exposed to drought and salinity stress. These common but differentially expressed genes/proteins/metabolites provide the starting point for developing high-yielding multi-stress-tolerant lentils. Finally, the review summarizes the current findings from omic studies in lentils and provides directions for integrating these findings into a systems approach to increase lentil productivity and enhance resilience to biotic and abiotic stresses under changing climate.
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Affiliation(s)
- Manish Tiwari
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
- *Correspondence: Manish Tiwari,
| | - Baljinder Singh
- National Institute of Plant Genome Research, New Delhi, India
| | - Doohong Min
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
| | - S. V. Krishna Jagadish
- Department of Agronomy, Kansas State University, Manhattan, KS, United States
- S. V. Krishna Jagadish,
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Genomics Associated Interventions for Heat Stress Tolerance in Cool Season Adapted Grain Legumes. Int J Mol Sci 2021; 23:ijms23010399. [PMID: 35008831 PMCID: PMC8745526 DOI: 10.3390/ijms23010399] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/22/2021] [Accepted: 12/27/2021] [Indexed: 11/16/2022] Open
Abstract
Cool season grain legumes occupy an important place among the agricultural crops and essentially provide multiple benefits including food supply, nutrition security, soil fertility improvement and revenue for farmers all over the world. However, owing to climate change, the average temperature is steadily rising, which negatively affects crop performance and limits their yield. Terminal heat stress that mainly occurred during grain development phases severely harms grain quality and weight in legumes adapted to the cool season, such as lentils, faba beans, chickpeas, field peas, etc. Although, traditional breeding approaches with advanced screening procedures have been employed to identify heat tolerant legume cultivars. Unfortunately, traditional breeding pipelines alone are no longer enough to meet global demands. Genomics-assisted interventions including new-generation sequencing technologies and genotyping platforms have facilitated the development of high-resolution molecular maps, QTL/gene discovery and marker-assisted introgression, thereby improving the efficiency in legumes breeding to develop stress-resilient varieties. Based on the current scenario, we attempted to review the intervention of genomics to decipher different components of tolerance to heat stress and future possibilities of using newly developed genomics-based interventions in cool season adapted grain legumes.
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Guerra-García A, Gioia T, von Wettberg E, Logozzo G, Papa R, Bitocchi E, Bett KE. Intelligent Characterization of Lentil Genetic Resources: Evolutionary History, Genetic Diversity of Germplasm, and the Need for Well-Represented Collections. Curr Protoc 2021; 1:e134. [PMID: 34004055 DOI: 10.1002/cpz1.134] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
The genetic and phenotypic characterization of crops allows us to elucidate their evolutionary and domestication history, the genetic basis of important traits, and the use of variation present in landraces and wild relatives to enhance resilience. In this context, we aim to provide an overview of the main genetic resources developed for lentil and their main outcomes, and to suggest protocols for continued work on this important crop. Lens culinaris is the third-most-important cool-season grain and its use is increasing as a quick-cooking, nutritious, plant-based source of protein. L. culinaris was domesticated in the Fertile Crescent, and six additional wild taxa (L. orientalis, L. tomentosus, L. odemensis, L. lamottei, L. ervoides, and L. nigricans) are recognized. Numerous genetic diversity studies have shown that wild relatives present high levels of genetic variation and provide a reservoir of alleles that can be used for breeding programs. Furthermore, the integration of genetics/genomics and breeding techniques has resulted in identification of quantitative trait loci and genes related to attributes of interest. Genetic maps, massive genotyping, marker-assisted selection, and genomic selection are some of the genetic resources generated and applied in lentil. In addition, despite its size (∼4 Gbp) and complexity, the L. culinaris genome has been assembled, allowing a deeper understanding of its architecture. Still, major knowledge gaps exist in lentil, and a deeper understanding and characterization of germplasm resources, including wild relatives, is critical to lentil breeding and improvement. © 2021 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Recording of lentil seed descriptors Basic Protocol 2: Lentil seed imaging Basic Protocol 3: Lentil seed increase Basic Protocol 4: Recording of primary lentil seed INCREASE descriptors.
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Affiliation(s)
- Azalea Guerra-García
- Department of Plant Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Tania Gioia
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, Potenza, Italy
| | - Eric von Wettberg
- Department of Plant and Soil Sciences and Gund Institute for the Environment, University of Vermont, Burlington, Vermont
| | - Giuseppina Logozzo
- School of Agriculture, Forestry, Food and Environmental Sciences, University of Basilicata, Potenza, Italy
| | - Roberto Papa
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali, Università Politecnica delle Marche, Ancona, Italy
| | - Elena Bitocchi
- Dipartimento di Scienze Agrarie, Alimentari ed Ambientali, Università Politecnica delle Marche, Ancona, Italy
| | - Kirstin E Bett
- Department of Plant Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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Mapping QTL for important seed traits in an interspecific F2 population of pigeonpea. 3 Biotech 2020; 10:434. [PMID: 32999812 DOI: 10.1007/s13205-020-02423-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Accepted: 08/31/2020] [Indexed: 10/23/2022] Open
Abstract
Seed traits present important breeding targets for enhancing grain yield and quality in various grain legume crops including pigeonpea. The present study reports significant genetic variation for six seed traits including seed length (SL), seed width (SW), seed thickness (ST), seed weight (SWT), electrical conductivity (EC) and water uptake (WU) among Cajanus cajan (L.) Millspaugh acc. ICPL 20340 and Cajanus scarabaeoides (L.) Thouars acc. ICP 15739 and an F2 population derived from this interspecific cross. Maximum phenotypic values recorded for the F2 population were higher than observed in the parent ICPL 20340 [F2 max vs ICPL 20340: SW (7.05 vs 5.38), ST (4.63 vs 4.51), EC (65.17 vs 9.72), WU (213.17 vs 109.5)], which suggested contribution of positive alleles from the wild parent, ICP 15739. Concurrently, to identify the QTL controlling these seed traits, we assayed two parents and 94 F2 individuals with 113 polymorphic simple sequence repeat (SSR) markers. In the F2 population, 98 of the 113 SSRs showed Mendelian segregation ratio 1:2:1, whereas significant deviations were observed for 15 SSRs with their χ 2 values ranging between 6.26 and 20.62. A partial genetic linkage map comprising 83 SSR loci was constructed. QTL analysis identified 15 marker-trait associations (MTAs) for seed traits on four linkage groups i.e. LG01, LG02, LG04 and LG05. Phenotypic variations (PVs) explained by these QTL ranged from 4.4 (WU) to 19.91% (EC). These genomic regions contributing significantly towards observed variability of seed traits would serve as potential candidates for future research that aims to improve seed traits in pigeonpea.
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13
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Identification of genomic regions associated with early plant vigour in lentil (Lens culinaris). J Genet 2020. [DOI: 10.1007/s12041-020-1182-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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14
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Serendipitous In Situ Conservation of Faba Bean Landraces in Tunisia: A Case Study. Genes (Basel) 2020; 11:genes11020236. [PMID: 32102450 PMCID: PMC7074078 DOI: 10.3390/genes11020236] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 02/13/2020] [Accepted: 02/16/2020] [Indexed: 12/19/2022] Open
Abstract
Cultivation of faba bean (Vicia faba L.) in Tunisia is largely based on improved varieties of the crop. However, a few farmers continue to produce local cultivars or landraces. The National Gene Bank of Tunisia (NGBT) recently launched a collection project for faba bean landraces, with special focus on the regions of the North West, traditionally devoted to cultivating grain legumes, and where around 80% of the total national faba bean cultivation area is located. The seed phenotypic features of the collected samples were studied, and the genetic diversity and population structure analyzed using simple sequence repeat markers. The genetic constitution of the present samples was compared to that of faba bean samples collected by teams of the International Center for Agricultural Research in the Dry Areas (ICARDA) in the 1970s in the same region, and stored at the ICARDA gene bank. The results of the diversity analysis demonstrate that the recently collected samples and those stored at ICARDA largely overlap, thus demonstrating that over the past 50 years, little genetic change has occurred to the local faba bean populations examined. These findings suggest that farmers serendipitously applied international best practices for in situ conservation of agricultural crops.
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Du H, Zhang H, Wei L, Li C, Duan Y, Wang H. A high-density genetic map constructed using specific length amplified fragment (SLAF) sequencing and QTL mapping of seed-related traits in sesame (Sesamum indicum L.). BMC PLANT BIOLOGY 2019; 19:588. [PMID: 31881840 PMCID: PMC6935206 DOI: 10.1186/s12870-019-2172-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 11/28/2019] [Indexed: 05/20/2023]
Abstract
BACKGROUND Sesame (Sesamum indicum L., 2n = 2x = 26) is an important oilseed crop with high oil content but small seed size. To reveal the genetic loci of the quantitative seed-related traits, we constructed a high-density single nucleotide polymorphism (SNP) linkage map of an F2 population by using specific length amplified fragment (SLAF) technique and determined the quantitative trait loci (QTLs) of seed-related traits for sesame based on the phenotypes of F3 progeny. RESULTS The genetic map comprised 2159 SNP markers distributed on 13 linkage groups (LGs) and was 2128.51 cM in length, with an average distance of 0.99 cM between adjacent markers. QTL mapping revealed 19 major-effect QTLs with the phenotypic effect (R2) more than 10%, i.e., eight QTLs for seed coat color, nine QTLs for seed size, and two QTLs for 1000-seed weight (TSW), using composite interval mapping method. Particularly, LG04 and LG11 contained collocated QTL regions for the seed coat color and seed size traits, respectively, based on their close or identical locations. In total, 155 candidate genes for seed coat color, 22 for seed size traits, and 54 for TSW were screened and analyzed. CONCLUSIONS This report presents the first QTL mapping of seed-related traits in sesame using an F2 population. The results reveal the location of specific markers associated with seed-related traits in sesame and provide the basis for further seed quality traits research.
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Affiliation(s)
- Hua Du
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
| | - Haiyang Zhang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
| | - Libin Wei
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
| | - Chun Li
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
| | - Yinghui Duan
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
| | - Huili Wang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan 450002 People’s Republic of China
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16
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Pavan S, Bardaro N, Fanelli V, Marcotrigiano AR, Mangini G, Taranto F, Catalano D, Montemurro C, De Giovanni C, Lotti C, Ricciardi L. Genotyping by Sequencing of Cultivated Lentil ( Lens culinaris Medik.) Highlights Population Structure in the Mediterranean Gene Pool Associated With Geographic Patterns and Phenotypic Variables. Front Genet 2019; 10:872. [PMID: 31620173 PMCID: PMC6759463 DOI: 10.3389/fgene.2019.00872] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 08/20/2019] [Indexed: 11/13/2022] Open
Abstract
Cultivated lentil (Lens culinaris Medik.) is one of the oldest domesticated crops and one of the most important grain legumes worldwide. The Mediterranean Basin holds large part of lentil biodiversity; however, no genetic structure was defined within the Mediterranean gene pool. In this study, we used high-throughput genotyping by sequencing to resolve the genetic structure of the Mediterranean ex situ lentil collection held at the Italian National Research Council. Sequencing of a 188-plex genotyping-by-sequencing library and bioinformatics treatment of data yielded 6,693 single nucleotide polymorphisms. Analysis of nonredundant genotypes with nonparametric and parametric methods highlighted the occurrence of five highly differentiated genetic clusters. Clustering could be related to geographic patterns and phenotypic traits, indicating that post-domestication routes introducing cultivation in Mediterranean countries and selection were major forces shaping lentil population structure. The estimation of the fixation index FST at individual single nucleotide polymorphism loci allowed the identification of distinctive alleles across clusters, suggesting the possibility to set up molecular keys for the assignment of lentil germplasm to specific genetic groups. Finally, significant associations between markers and phenotypic data were identified. Overall, the results of this study are of major importance for lentil conservation genetics and breeding and provide insights on the lentil evolutionary history.
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Affiliation(s)
- Stefano Pavan
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy.,Institute of Biomedical Technologies, National Research Council (CNR), Bari, Italy
| | - Nicoletta Bardaro
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy
| | - Valentina Fanelli
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy
| | - Angelo Raffaele Marcotrigiano
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy
| | - Giacomo Mangini
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy
| | - Francesca Taranto
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy.,CREA Research Centre for Cereal and Industrial Crops (CREA-CI), Foggia, Italy
| | - Domenico Catalano
- Institute of Biomedical Technologies, National Research Council (CNR), Bari, Italy
| | - Cinzia Montemurro
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy
| | - Claudio De Giovanni
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy
| | - Concetta Lotti
- Department of Agricultural, Food and Environmental Sciences, University of Foggia, Foggia, Italy
| | - Luigi Ricciardi
- Department of Soil, Plant and Food Science, Section of Genetics and Plant Breeding, University of Bari Aldo Moro, Bari, Italy
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17
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Polanco C, Sáenz de Miera LE, González AI, García P, Fratini R, Vaquero F, Vences FJ, Pérez de la Vega M. Construction of a high-density interspecific (Lens culinaris x L. odemensis) genetic map based on functional markers for mapping morphological and agronomical traits, and QTLs affecting resistance to Ascochyta in lentil. PLoS One 2019; 14:e0214409. [PMID: 30917174 PMCID: PMC6436743 DOI: 10.1371/journal.pone.0214409] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Accepted: 03/12/2019] [Indexed: 01/13/2023] Open
Abstract
Usage of high-throughput sequencing approaches allow for the generation and characterization of reference transcriptome datasets that support gene-based marker discovery, which in turn can be used to build genetic maps among other purposes. We have obtained a transcriptome assembly including 49,453 genes for the lentil (Lens culinaris Medik.) cultivar Alpo using RNAseq methodology. This transcriptome was used as reference to obtain 6,306 quality polymorphic markers (SNPs and short indels) analyzing genotype data from a RIL population at F7 generation derived from the interspecific cross between L. culinaris cv. Alpo and L. odemensis accession ILWL235. L. odemensis is a wild species included in the secondary gene pool and can be used as a source for gene introgression in lentil breeding programs. Marker data were used to construct the first genetic interspecific map between these two species. This linkage map has been used to precisely identify regions of the CDC-Redberry lentil draft genome in which the candidate genes for some qualitative traits (seed coat spotting pattern, flower color, and stem pigmentation) could be located. The genome regions corresponding to a significant single quantitative trait locus (QTL) controlling "time to flowering" located in chromosome 6 and three QTLs regulating seed size and positioned in chromosomes 1 and 5 (two QTLs) were also identified. Significant QTLs for Ascochyta blight resistance in lentil were mapped to chromosome 6 in the genome region or close to it where QTLs for Ascochyta blight resistance have previously been reported.
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Affiliation(s)
- Carlos Polanco
- Área de Genética, Departamento de Biología Molecular, Universidad de León, León, Spain
- * E-mail:
| | | | - Ana Isabel González
- Área de Genética, Departamento de Biología Molecular, Universidad de León, León, Spain
| | - Pedro García
- Área de Genética, Departamento de Biología Molecular, Universidad de León, León, Spain
| | - Richard Fratini
- Área de Genética, Departamento de Biología Molecular, Universidad de León, León, Spain
| | - Francisca Vaquero
- Área de Genética, Departamento de Biología Molecular, Universidad de León, León, Spain
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18
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Zhang H, Miao H, Wei L, Li C, Duan Y, Xu F, Qu W, Zhao R, Ju M, Chang S. Identification of a SiCL1 gene controlling leaf curling and capsule indehiscence in sesame via cross-population association mapping and genomic variants screening. BMC PLANT BIOLOGY 2018; 18:296. [PMID: 30466401 PMCID: PMC6251216 DOI: 10.1186/s12870-018-1503-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Accepted: 10/26/2018] [Indexed: 05/22/2023]
Abstract
BACKGROUND Leaf shape can affect plantlet development and seed yield in sesame. The morphological, histological and genetic analyses of a sesame mutant cl1 (cl) with curly leaf and indehiscent capsule traits were performed in this study. In order to clone the cl1 gene for breeding selection, genome re-sequencing of the 130 individuals of cl1 × USA (0)-26 F2 population and a bulked segregation analysis (BSA) pool was carried out. The genome re-sequencing data of the 822 germplasm with normal leaf shape were applied. RESULTS For cl1 mutant, the adaxial/abaxial character of the parenchyma cells in the leaf blades is reduced. Results proved that the leaf curling trait is controlled by a recessive gene (Sicl1). Cross- population association of the F2 population of cl1 × USA (0)-26 indicated that the target cl locus was located on the interval C29 between C29_6522236 and C29_6918901 of SiChr. 1. Further regional genome variants screening determined the 6 candidate variants using genomic variants data of 822 natural germplasm and a BSA pool data. Of which, 5 markers C29_6717525, C29_6721553, C29_6721558, C29_6721563, and C29_6721565 existed in the same gene (C29.460). With the aid of the validation in the test F2 population of cl1 × Yuzhi 11 and natural germplasm, the integrated marker SiCLInDel1 (C29: 6721553-6721572) was determined as the target marker, and C29.460 was the target gene SiCL1 in sesame. SiCL1 is a KAN1 homolog with the full length of 6835 bp. In cl1, the 20 nucleic acids (CAGGTAGCTATGTATATGCA) of SiCLInDel1 marker were mutagenized into 6 nucleic acids (TCTTTG). The deletion led to a frameshift mutation and resulted in the earlier translation termination of the CL gene. The Sicl1 allele was shortened to 1829 bp. SiCL1 gene was expressed mainly in the tissues of stem, leaf, bud, capsule and seed. CONCLUSIONS SiCL1 encodes a transcription repressor KAN1 protein and controls leaf curling and capsule indehiscence in sesame. The findings provided an example of high-efficient gene cloning in sesame. The SiCL1 gene and the cl1 mutant supply the opportunity to explore the development regulation of leaf and capsule, and would improve the new variety breeding with high harvest mechanization adaption in sesame.
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Affiliation(s)
- Haiyang Zhang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 Henan China
| | - Hongmei Miao
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 Henan China
| | - Libin Wei
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 Henan China
| | - Chun Li
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 Henan China
| | - Yinghui Duan
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 Henan China
| | - Fangfang Xu
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 Henan China
| | - Wenwen Qu
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 Henan China
| | - Ruihong Zhao
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 Henan China
| | - Ming Ju
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 Henan China
| | - Shuxian Chang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, 450002 Henan China
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19
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Subedi M, Bett KE, Khazaei H, Vandenberg A. Genetic Mapping of Milling Quality Traits in Lentil ( Lens culinaris Medik.). THE PLANT GENOME 2018; 11:170092. [PMID: 30025017 DOI: 10.3835/plantgenome2017.10.0092] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Milling qualities are key traits for the red lentil ( Medik.) industry as price is largely determined by recovery yield. milling involves removal of the seed coat and splitting of the cotyledon to produce either splits or footballs (cotyledons still attached). The objectives of the study were to determine the heritability of the milling traits dehulling efficiency (DE), milling recovery (MR), and football recovery (FR) and to identify the genomic regions controlling them. We used a lentil recombinant inbred population from the cross 'CDC Robin' × '946a-46', which have contrasting seed characteristics. The mapping population consists of 127 F-derived lentil recombinant inbred lines that were phenotyped for milling quality parameters from four site-years in Saskatchewan, Canada. A total of 534 single nucleotide polymorphism markers, seven simple sequence repeat markers, and four morphological markers were used for quantitative trait locus (QTL) mapping. The broad-sense heritability was moderate for DE and MR and relatively low for FR. Milling quality traits were significantly correlated with seed shape (seed diameter and seed plumpness). Multiple QTLs for milling traits were detected in six of seven linkage groups (LGs). The most stable QTLs governing DE and MR were clustered on LGs 1, 2, 3, and 7, whereas FR QTLs were clustered on LGs 4, 5, 6, and 7. The molecular markers identified for these traits could be used for improving milling quality in lentil breeding programs.
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Khazaei H, Fedoruk M, Caron CT, Vandenberg A, Bett KE. Single Nucleotide Polymorphism Markers Associated with Seed Quality Characteristics of Cultivated Lentil. THE PLANT GENOME 2018; 11:170051. [PMID: 29505642 DOI: 10.3835/plantgenome2017.06.0051] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The dimensions of lentil ( Medik.) seeds are important quality parameters that are major determinants of market preference, cooking time, and post-harvest milling quality. Knowledge of the genetic control of traits related to seed dimensions would be useful for crop improvement. The principal aim of this study was to identify single nucleotide polymorphism (SNP) markers linked to genes that control seed diameter, seed thickness, and seed plumpness. Association mapping analysis with SNP markers was used to study the seed dimensions of 138 diverse cultivated lentil accessions grown at two locations in Saskatchewan, Canada, in 2011 and 2012. Six marker-trait associations were shown to be significant for the studied seed dimension characteristics. Two SNP markers closely associated with seed diameter across locations and years identified in previous work were validated in this study. Three additional marker-seed thickness associations were identified. Using the association mapping strategy, we confirmed the presence of two genomic regions controlling seed diameter and plumpness. This information can be used worldwide as a resource for lentil seed quality improvement programs.
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Yu M, Liu Z, Jiang S, Xu N, Chen Q, Qi Z, Lv W. QTL mapping and candidate gene mining for soybean seed weight per plant. BIOTECHNOL BIOTEC EQ 2018. [DOI: 10.1080/13102818.2018.1438851] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Affiliation(s)
- Meng Yu
- College of Agriculture Department, Northeast Agricultural University, Harbin, Heilongjiang, PR China
| | - Zhangxiong Liu
- Institute of Crop Sciences Department, Chinese Academy of Agricultural Sciences, Beijing, PR China
| | - Shanshan Jiang
- College of Agriculture Department, Northeast Agricultural University, Harbin, Heilongjiang, PR China
| | - Ning Xu
- Heilongjiang Academy of Land Reclamation Sciences, Harbin, Heilongjiang, PR China
| | - Qingshan Chen
- College of Agriculture Department, Northeast Agricultural University, Harbin, Heilongjiang, PR China
| | - Zhaoming Qi
- College of Agriculture Department, Northeast Agricultural University, Harbin, Heilongjiang, PR China
| | - Wenhe Lv
- College of Agriculture Department, Northeast Agricultural University, Harbin, Heilongjiang, PR China
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Ates D, Aldemir S, Alsaleh A, Erdogmus S, Nemli S, Kahriman A, Ozkan H, Vandenberg A, Tanyolac B. A consensus linkage map of lentil based on DArT markers from three RIL mapping populations. PLoS One 2018; 13:e0191375. [PMID: 29351563 PMCID: PMC5774769 DOI: 10.1371/journal.pone.0191375] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 01/03/2018] [Indexed: 12/21/2022] Open
Abstract
Background Lentil (Lens culinaris ssp. culinaris Medikus) is a diploid (2n = 2x = 14), self-pollinating grain legume with a haploid genome size of about 4 Gbp and is grown throughout the world with current annual production of 4.9 million tonnes. Materials and methods A consensus map of lentil (Lens culinaris ssp. culinaris Medikus) was constructed using three different lentils recombinant inbred line (RIL) populations, including “CDC Redberry” x “ILL7502” (LR8), “ILL8006” x “CDC Milestone” (LR11) and “PI320937” x “Eston” (LR39). Results The lentil consensus map was composed of 9,793 DArT markers, covered a total of 977.47 cM with an average distance of 0.10 cM between adjacent markers and constructed 7 linkage groups representing 7 chromosomes of the lentil genome. The consensus map had no gap larger than 12.67 cM and only 5 gaps were found to be between 12.67 cM and 6.0 cM (on LG3 and LG4). The localization of the SNP markers on the lentil consensus map were in general consistent with their localization on the three individual genetic linkage maps and the lentil consensus map has longer map length, higher marker density and shorter average distance between the adjacent markers compared to the component linkage maps. Conclusion This high-density consensus map could provide insight into the lentil genome. The consensus map could also help to construct a physical map using a Bacterial Artificial Chromosome library and map based cloning studies. Sequence information of DArT may help localization of orientation scaffolds from Next Generation Sequencing data.
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Affiliation(s)
- Duygu Ates
- Department of Bioengineering, Faculty of Engineering, Ege University, Bornova, Izmir, Turkey
| | - Secil Aldemir
- Department of Bioengineering, Faculty of Engineering, Ege University, Bornova, Izmir, Turkey
| | - Ahmad Alsaleh
- Department of Field Crops, Faculty of Agriculture, Cukurova University, Adana, Turkey
| | - Semih Erdogmus
- Department of Bioengineering, Faculty of Engineering, Ege University, Bornova, Izmir, Turkey
| | - Seda Nemli
- Department of Bieoengineering and Genetics, Gumushane University, Gumushane, Turkey
| | - Abdullah Kahriman
- Department of Field Crops, Faculty of Agriculture, Harran University, Sanlı Urfa, Turkey
| | - Hakan Ozkan
- Department of Field Crops, Faculty of Agriculture, Cukurova University, Adana, Turkey
| | - Albert Vandenberg
- Crop Development Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Bahattin Tanyolac
- Department of Bioengineering, Faculty of Engineering, Ege University, Bornova, Izmir, Turkey
- * E-mail:
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Jha R, Bohra A, Jha UC, Rana M, Chahota RK, Kumar S, Sharma TR. Analysis of an intraspecific RIL population uncovers genomic segments harbouring multiple QTL for seed relevant traits in lentil ( Lens culinaris L.). PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2017; 23:675-684. [PMID: 28878505 PMCID: PMC5567699 DOI: 10.1007/s12298-017-0438-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 03/24/2017] [Accepted: 03/31/2017] [Indexed: 05/24/2023]
Abstract
Improving seed related traits remains key objective in lentil breeding. In recent years, genomic resources have shown great promise to accelerate crop improvement. However, limited genomic resources in lentil greatly restrict the use of genomics assisted breeding. The present investigation aims to build an intraspecific genetic linkage map and identify the QTL associated with important seed relevant traits using 94 recombinant inbreds (WA 8649090 × Precoz). A total of 288 polymorphic DNA markers including simple sequence repeat (SSR), inter simple sequence repeat (ISSR) and random amplified polymorphic DNA (RAPD) were assayed on mapping population. The resultant genetic linkage map comprised 220 loci spanning 604.2 cM of the lentil genome, with average inter-marker distance of 2.74 cM. QTL mapping in this RIL population uncovered a total of 18 QTL encompassing nine major and nine minor QTL. All major QTL were detected for seed related traits viz., seed diameter (SD), seed thickness (ST), seed weight (SW) and seed plumpness (SP) across two locations. A considerable proportion of the phenotypic variation (PV) was accounted to these QTL. For instance, one major QTL on LG5 controlling SW (QTL 15) explained 50% PV in one location, while the same QTL accounted for 34.18% PV in other location. Importantly, the genomic region containing multiple QTL for different seed traits was mapped to a 17-cM region on LG5. The genomic region harbouring QTL for multiple traits opens up exciting opportunities for genomics assisted improvement of lentil.
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Affiliation(s)
- Rintu Jha
- Chaudhary Sarwan Kumar Krishi Viswavidyalaya, Palampur, Himachal Pradesh 176062 India
| | - Abhishek Bohra
- Crop Improvement Division, Indian Institute of Pulses Research, Kanpur, 208024 India
| | - Uday Chand Jha
- Crop Improvement Division, Indian Institute of Pulses Research, Kanpur, 208024 India
| | - Maneet Rana
- Indian Grassland and Fodder Research Institute, Jhansi, Uttar Pradesh 284003 India
| | - Rakesh Kumar Chahota
- Chaudhary Sarwan Kumar Krishi Viswavidyalaya, Palampur, Himachal Pradesh 176062 India
| | - Shiv Kumar
- International Center for Agricultural Research in the Dry Areas, 114/5055, Beirut, Lebanon
| | - Tilak Raj Sharma
- Chaudhary Sarwan Kumar Krishi Viswavidyalaya, Palampur, Himachal Pradesh 176062 India
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Dossa K, Diouf D, Wang L, Wei X, Zhang Y, Niang M, Fonceka D, Yu J, Mmadi MA, Yehouessi LW, Liao B, Zhang X, Cisse N. The Emerging Oilseed Crop Sesamum indicum Enters the "Omics" Era. FRONTIERS IN PLANT SCIENCE 2017; 8:1154. [PMID: 28713412 PMCID: PMC5492763 DOI: 10.3389/fpls.2017.01154] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Accepted: 06/15/2017] [Indexed: 05/18/2023]
Abstract
Sesame (Sesamum indicum L.) is one of the oldest oilseed crops widely grown in Africa and Asia for its high-quality nutritional seeds. It is well adapted to harsh environments and constitutes an alternative cash crop for smallholders in developing countries. Despite its economic and nutritional importance, sesame is considered as an orphan crop because it has received very little attention from science. As a consequence, it lags behind the other major oil crops as far as genetic improvement is concerned. In recent years, the scenario has considerably changed with the decoding of the sesame nuclear genome leading to the development of various genomic resources including molecular markers, comprehensive genetic maps, high-quality transcriptome assemblies, web-based functional databases and diverse daft genome sequences. The availability of these tools in association with the discovery of candidate genes and quantitative trait locis for key agronomic traits including high oil content and quality, waterlogging and drought tolerance, disease resistance, cytoplasmic male sterility, high yield, pave the way to the development of some new strategies for sesame genetic improvement. As a result, sesame has graduated from an "orphan crop" to a "genomic resource-rich crop." With the limited research teams working on sesame worldwide, more synergic efforts are needed to integrate these resources in sesame breeding for productivity upsurge, ensuring food security and improved livelihood in developing countries. This review retraces the evolution of sesame research by highlighting the recent advances in the "Omics" area and also critically discusses the future prospects for a further genetic improvement and a better expansion of this crop.
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Affiliation(s)
- Komivi Dossa
- Centre d’Etudes Régional Pour l’Amélioration de l’Adaptation à la SécheresseThiès, Sénégal
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta DiopDakar, Sénégal
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of AgricultureWuhan, China
| | - Diaga Diouf
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta DiopDakar, Sénégal
| | - Linhai Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of AgricultureWuhan, China
| | - Xin Wei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of AgricultureWuhan, China
| | - Yanxin Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of AgricultureWuhan, China
| | - Mareme Niang
- Centre d’Etudes Régional Pour l’Amélioration de l’Adaptation à la SécheresseThiès, Sénégal
| | - Daniel Fonceka
- Centre d’Etudes Régional Pour l’Amélioration de l’Adaptation à la SécheresseThiès, Sénégal
- Centre de Coopération Internationale en Recherche Agronomique Pour le Développement, UMR AGAPMontpellier, France
| | - Jingyin Yu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of AgricultureWuhan, China
| | - Marie A. Mmadi
- Centre d’Etudes Régional Pour l’Amélioration de l’Adaptation à la SécheresseThiès, Sénégal
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta DiopDakar, Sénégal
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of AgricultureWuhan, China
| | - Louis W. Yehouessi
- Centre d’Etudes Régional Pour l’Amélioration de l’Adaptation à la SécheresseThiès, Sénégal
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of AgricultureWuhan, China
| | - Xiurong Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of AgricultureWuhan, China
| | - Ndiaga Cisse
- Centre d’Etudes Régional Pour l’Amélioration de l’Adaptation à la SécheresseThiès, Sénégal
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Rodda MS, Davidson J, Javid M, Sudheesh S, Blake S, Forster JW, Kaur S. Molecular Breeding for Ascochyta Blight Resistance in Lentil: Current Progress and Future Directions. FRONTIERS IN PLANT SCIENCE 2017; 8:1136. [PMID: 28706526 PMCID: PMC5489742 DOI: 10.3389/fpls.2017.01136] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 06/13/2017] [Indexed: 05/24/2023]
Abstract
Lentil (Lens culinaris Medik.) is a diploid (2n = 2x = 14), self-pollinating, cool-season, grain legume that is cultivated worldwide and is highly valuable due to its high protein content. However, lentil production is constrained by many factors including biotic stresses, majority of which are fungal diseases such as ascochyta blight (AB), fusarium wilt, rust, stemphylium blight, anthracnose, and botrytis gray mold. Among various diseases, AB is a major -problem in many lentil-producing countries and can significantly reduce crop production. Breeding for AB resistance has been a priority for breeding programs across the globe and consequently, a number of resistance sources have been identified and extensively exploited. In order to increase the efficiency of combining genes from different genetic backgrounds, molecular genetic tools can be integrated with conventional breeding methods. A range of genetic linkage maps have been generated based on DNA-based markers, and quantitative trait loci (QTLs) for AB resistance have been identified. Molecular markers linked to these QTLs may potentially be used for efficient pyramiding of the AB disease resistance genes. Significant genomic resources have been established to identify and characterize resistance genes, including an integrated genetic map, expressed sequence tag libraries, gene based markers, and draft genome sequences. These resources are already being utilized for lentil crop improvement, to more effectively select for disease resistance, as a case study of the Australian breeding program will show. The combination of genomic resources, effective molecular genetic tools and high resolution phenotyping tools will improve the efficiency of selection for ascochyta blight resistance and accelerate varietal development of global lentil breeding programs.
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Affiliation(s)
- Matthew S. Rodda
- Agriculture Victoria, Grains Innovation ParkHorsham, VIC, Australia
| | - Jennifer Davidson
- Pulse and Oilseed Pathology, Plant Health and Biosecurity, Sustainable Systems, South Australian Research and Development Institute, UrrbraeAdelaide, SA, Australia
| | - Muhammad Javid
- Agriculture Victoria, Grains Innovation ParkHorsham, VIC, Australia
| | - Shimna Sudheesh
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, La Trobe UniversityBundoora, VIC, Australia
| | - Sara Blake
- Pulse and Oilseed Pathology, Plant Health and Biosecurity, Sustainable Systems, South Australian Research and Development Institute, UrrbraeAdelaide, SA, Australia
| | - John W. Forster
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, La Trobe UniversityBundoora, VIC, Australia
- School of Applied Systems Biology, La Trobe UniversityBundoora, VIC, Australia
| | - Sukhjiwan Kaur
- Agriculture Victoria, AgriBio, Centre for AgriBioscience, La Trobe UniversityBundoora, VIC, Australia
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Hradilová I, Trněný O, Válková M, Cechová M, Janská A, Prokešová L, Aamir K, Krezdorn N, Rotter B, Winter P, Varshney RK, Soukup A, Bednář P, Hanáček P, Smýkal P. A Combined Comparative Transcriptomic, Metabolomic, and Anatomical Analyses of Two Key Domestication Traits: Pod Dehiscence and Seed Dormancy in Pea ( Pisum sp.). FRONTIERS IN PLANT SCIENCE 2017; 8:542. [PMID: 28487704 PMCID: PMC5404241 DOI: 10.3389/fpls.2017.00542] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Accepted: 03/27/2017] [Indexed: 05/19/2023]
Abstract
The origin of the agriculture was one of the turning points in human history, and a central part of this was the evolution of new plant forms, domesticated crops. Seed dispersal and germination are two key traits which have been selected to facilitate cultivation and harvesting of crops. The objective of this study was to analyze anatomical structure of seed coat and pod, identify metabolic compounds associated with water-impermeable seed coat and differentially expressed genes involved in pea seed dormancy and pod dehiscence. Comparative anatomical, metabolomics, and transcriptomic analyses were carried out on wild dormant, dehiscent Pisum elatius (JI64, VIR320) and cultivated, indehiscent Pisum sativum non-dormant (JI92, Cameor) and recombinant inbred lines (RILs). Considerable differences were found in texture of testa surface, length of macrosclereids, and seed coat thickness. Histochemical and biochemical analyses indicated genotype related variation in composition and heterogeneity of seed coat cell walls within macrosclereids. Liquid chromatography-electrospray ionization/mass spectrometry and Laser desorption/ionization-mass spectrometry of separated seed coats revealed significantly higher contents of proanthocyanidins (dimer and trimer of gallocatechin), quercetin, and myricetin rhamnosides and hydroxylated fatty acids in dormant compared to non-dormant genotypes. Bulk Segregant Analysis coupled to high throughput RNA sequencing resulted in identification of 770 and 148 differentially expressed genes between dormant and non-dormant seeds or dehiscent and indehiscent pods, respectively. The expression of 14 selected dormancy-related genes was studied by qRT-PCR. Of these, expression pattern of four genes: porin (MACE-S082), peroxisomal membrane PEX14-like protein (MACE-S108), 4-coumarate CoA ligase (MACE-S131), and UDP-glucosyl transferase (MACE-S139) was in agreement in all four genotypes with Massive analysis of cDNA Ends (MACE) data. In case of pod dehiscence, the analysis of two candidate genes (SHATTERING and SHATTERPROOF) and three out of 20 MACE identified genes (MACE-P004, MACE-P013, MACE-P015) showed down-expression in dorsal and ventral pod suture of indehiscent genotypes. Moreover, MACE-P015, the homolog of peptidoglycan-binding domain or proline-rich extensin-like protein mapped correctly to predicted Dpo1 locus on PsLGIII. This integrated analysis of the seed coat in wild and cultivated pea provides new insight as well as raises new questions associated with domestication and seed dormancy and pod dehiscence.
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Affiliation(s)
- Iveta Hradilová
- Department of Botany, Palacký University in OlomoucOlomouc, Czechia
| | - Oldřich Trněný
- Department of Plant Biology, Mendel University in BrnoBrno, Czechia
- Agricultural Research, Ltd.Troubsko, Czechia
| | - Markéta Válková
- Department of Analytical Chemistry, Regional Centre of Advanced Technologies and Materials, Palacký University in OlomoucOlomouc, Czechia
- Faculty of Science, Palacký University in OlomoucOlomouc, Czechia
| | - Monika Cechová
- Department of Analytical Chemistry, Regional Centre of Advanced Technologies and Materials, Palacký University in OlomoucOlomouc, Czechia
- Faculty of Science, Palacký University in OlomoucOlomouc, Czechia
| | - Anna Janská
- Department of Experimental Plant Biology, Charles UniversityPrague, Czechia
| | - Lenka Prokešová
- Department of Crop Science, Breeding and Plant Medicine, Mendel University in BrnoBrno, Czechia
| | - Khan Aamir
- Research Program-Genetic Gains, ICRISATHyderabad, India
| | | | | | | | | | - Aleš Soukup
- Department of Experimental Plant Biology, Charles UniversityPrague, Czechia
| | - Petr Bednář
- Department of Analytical Chemistry, Regional Centre of Advanced Technologies and Materials, Palacký University in OlomoucOlomouc, Czechia
- Faculty of Science, Palacký University in OlomoucOlomouc, Czechia
| | - Pavel Hanáček
- Department of Plant Biology, Mendel University in BrnoBrno, Czechia
| | - Petr Smýkal
- Department of Botany, Palacký University in OlomoucOlomouc, Czechia
- *Correspondence: Petr Smýkal
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Zhang H, Miao H, Li C, Wei L, Duan Y, Ma Q, Kong J, Xu F, Chang S. Ultra-dense SNP genetic map construction and identification of SiDt gene controlling the determinate growth habit in Sesamum indicum L. Sci Rep 2016; 6:31556. [PMID: 27527492 PMCID: PMC4985745 DOI: 10.1038/srep31556] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 07/19/2016] [Indexed: 11/13/2022] Open
Abstract
Sesame (Sesamum indicum L.) is an important oilseed crop and has an indeterminate growth habit. Here we resequenced the genomes of the parents and 120 progeny of an F2 population derived from crossing Yuzhi 11 (indeterminate, Dt) and Yuzhi DS899 (determinate, dt1), and constructed an ultra-dense SNP map for sesame comprised of 3,041 bins including 30,193 SNPs in 13 linkage groups (LGs) with an average marker density of 0.10 cM. Results indicated that the same recessive gene controls the determinacy trait in dt1 and a second determinate line, dt2 (08TP092). The QDt1 locus for the determinacy trait was located in the 18.0 cM-19.2 cM interval of LG8. The target SNP, SiDt27-1, and the determinacy gene, DS899s00170.023 (named here as SiDt), were identified in Scaffold 00170 of the Yuzhi 11 reference genome, based on genetic mapping and genomic association analysis. Unlike the G397A SNP change in the dt1 genotype, the SiDt allele in dt2 line was lost from the genome. This example of map-based gene cloning in sesame provides proof-of-concept of the utility of ultra-dense SNP maps for accurate genome research in sesame.
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Affiliation(s)
- Haiyang Zhang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, 450002, People’s Republic of China
| | - Hongmei Miao
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, 450002, People’s Republic of China
| | - Chun Li
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, 450002, People’s Republic of China
| | - Libin Wei
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, 450002, People’s Republic of China
| | - Yinghui Duan
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, 450002, People’s Republic of China
| | - Qin Ma
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, 450002, People’s Republic of China
| | - Jingjing Kong
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, 450002, People’s Republic of China
| | - Fangfang Xu
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, 450002, People’s Republic of China
| | - Shuxian Chang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, 450002, People’s Republic of China
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