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Weldemichael MY, Gebremedhn HM. QTL mapping in sesame (Sesamum indicum L.): A review. J Biotechnol 2023; 376:11-23. [PMID: 37717598 DOI: 10.1016/j.jbiotec.2023.09.003] [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: 06/15/2023] [Revised: 09/08/2023] [Accepted: 09/12/2023] [Indexed: 09/19/2023]
Abstract
Sesame (Sesamum indicum L.) is an important oilseed crop used for food, feed, medicinal, and industrial applications. Inherently low genetic yield potential and susceptibility to biotic and abiotic stresses contribute to low productivity in sesame. Development of stress resistant varieties coupled with high yield is a viable option to raise the genetic potential of sesame. Conventional phenotype-based breeding methods have made an important role in the last couple of decades by developing several sesame varieties with improved quality, yield, and tolerance to biotic and abiotic stresses. However, due to adverse environmental effects, time consuming to develop new variety, and low genetic gain, conventional phenotype-based approach is not adequate to satisfy the rising population growth. In this context, advanced method of genotype selection via modern techniques of biotechnology plays essential roles in reducing the constraints and boosting sesame production to satisfy the huge demand. In line to this, quantitative trait loci (QTL) mapping is considered as a promising method to address the problems of sesame breeding. Previously, huge data have been generated in the practical use of QTL for sesame improvement. Therefore, this paper aims to review recent advances in the area of QTL mapping for yield and yield related traits in sesame for enhancing and sustaining sesame production. In this section, we present an intensive review on the identification and mapping of the most desirable potential candidate genes/QTLs associated with desirable traits. Moreover, this review focuses on the major QTL regions and/or potential candidate genes and associated molecular markers that could provide potential genetic resources for molecular marker-assisted selection and further cloning of functional genes for yield and yield-related traits as well as various biotic and abiotic stress tolerances. Finally, the summarized QTL mapping data shed light on future directions for enhanced sesame breeding programs.
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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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Mei H, Cui C, Liu Y, Du Z, Wu K, Jiang X, Zheng Y, Zhang H. QTL analysis of traits related to seed size and shape in sesame (Sesamum indicum L.). PLoS One 2023; 18:e0293155. [PMID: 37917626 PMCID: PMC10621824 DOI: 10.1371/journal.pone.0293155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 10/06/2023] [Indexed: 11/04/2023] Open
Abstract
Seed size and shape are important traits that determine seed yield in sesame. Understanding the genetic basis of seed size and shape is essential for improving the yield of sesame. In this study, F2 and BC1 populations were developed by crossing the Yuzhi 4 and Bengal small-seed (BS) lines for detecting the quantitative trait loci (QTLs) of traits related to seed size and shape. A total of 52 QTLs, including 13 in F2 and 39 in BC1 populations, for seed length (SL), seed width (SW), and length to width ratio (L/W) were identified, explaining phenotypic variations from 3.68 to 21.64%. Of these QTLs, nine stable major QTLs were identified in the two populations. Notably, three major QTLs qSL-LG3-2, qSW-LG3-2, and qSW-LG3-F2 that accounted for 4.94-16.34% of the phenotypic variations were co-localized in a 2.08 Mb interval on chromosome 1 (chr1) with 279 candidate genes. Three stable major QTLs qSL-LG6-2, qLW-LG6, and qLW-LG6-F2 that explained 8.14-33.74% of the phenotypic variations were co-localized in a 3.27 Mb region on chr9 with 398 candidate genes. In addition, the stable major QTL qSL-LG5 was co-localized with minor QTLs qLW-LG5-3 and qSW-LG5 to a 1.82 Mb region on chr3 with 195 candidate genes. Gene annotation, orthologous gene analysis, and sequence analysis indicated that three genes are likely involved in sesame seed development. These results obtained herein provide valuable in-formation for functional gene cloning and improving the seed yield of sesame.
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Affiliation(s)
- Hongxian Mei
- The Shennong Laboratory, Zhengzhou, Henan, China
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Chengqi Cui
- The Shennong Laboratory, Zhengzhou, Henan, China
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Yanyang Liu
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Zhenwei Du
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Ke Wu
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Xiaolin Jiang
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Yongzhan Zheng
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
| | - Haiyang Zhang
- The Shennong Laboratory, Zhengzhou, Henan, China
- Henan Sesame Research Center, Henan Academy of Agricultural Sciences, Zhengzhou, Henan, China
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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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Li H, Tahir ul Qamar M, Yang L, Liang J, You J, Wang L. Current Progress, Applications and Challenges of Multi-Omics Approaches in Sesame Genetic Improvement. Int J Mol Sci 2023; 24:3105. [PMID: 36834516 PMCID: PMC9965044 DOI: 10.3390/ijms24043105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/16/2023] [Accepted: 01/20/2023] [Indexed: 02/09/2023] Open
Abstract
Sesame is one of the important traditional oil crops in the world, and has high economic and nutritional value. Recently, due to the novel high throughput sequencing techniques and bioinformatical methods, the study of the genomics, methylomics, transcriptomics, proteomics and metabonomics of sesame has developed rapidly. Thus far, the genomes of five sesame accessions have been released, including white and black seed sesame. The genome studies reveal the function and structure of the sesame genome, and facilitate the exploitation of molecular markers, the construction of genetic maps and the study of pan-genomes. Methylomics focus on the study of the molecular level changes under different environmental conditions. Transcriptomics provide a powerful tool to study abiotic/biotic stress, organ development, and noncoding RNAs, and proteomics and metabonomics also provide some support in studying abiotic stress and important traits. In addition, the opportunities and challenges of multi-omics in sesame genetics breeding were also described. This review summarizes the current research status of sesame from the perspectives of multi-omics and hopes to provide help for further in-depth research on sesame.
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Affiliation(s)
- Huan Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Muhammad Tahir ul Qamar
- Integrative Omics and Molecular Modeling Laboratory, Department of Bioinformatics and Biotechnology, Government College University Faisalabad (GCUF), Faisalabad 38000, Pakistan
| | - Li Yang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Junchao Liang
- Jiangxi Province Key Laboratory of Oil Crops Biology, Crop Research Institute, Nanchang Branch of National Center of Oil Crops Improvement, Jiangxi Academy of Agricultural Sciences, Nanchang 330000, China
| | - Jun You
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
| | - Linhai Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430062, China
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Wang M, Huang J, Liu S, Liu X, Li R, Luo J, Fu Z. Improved assembly and annotation of the sesame genome. DNA Res 2022; 29:dsac041. [PMID: 36355766 PMCID: PMC9724774 DOI: 10.1093/dnares/dsac041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/03/2022] [Accepted: 11/08/2022] [Indexed: 11/12/2022] Open
Abstract
Sesame (Sesamum indicum L.) is an important oilseed crop that produces abundant seed oil and has a pleasant flavor and high nutritional value. To date, several Illumina-based genome assemblies corresponding to different sesame genotypes have been published and widely used in genetic and genomic studies of sesame. However, these assemblies consistently showed low continuity with numerous gaps. Here, we reported a high-quality, reference-level sesame genome assembly by integrating PacBio high-fidelity sequencing and Hi-C technology. Our updated sesame assembly was 309.35 Mb in size with a high chromosome anchoring rate (97.54%) and contig N50 size (13.48 Mb), which were better than previously published genomes. We identified 163.38 Mb repetitive elements and 24,345 high-confidence protein-coding genes in the updated sesame assembly. Comparative genomic analysis showed that sesame shared an ancient whole-genome duplication event with two Lamiales species. A total of 2,782 genes were tandemly duplicated. We also identified several genes that were likely involved in fatty acid and triacylglycerol biosynthesis. Our improved sesame assembly and annotation will facilitate future genetic studies and genomics-assisted breeding of sesame.
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Affiliation(s)
- Mingcheng Wang
- Institute for Advanced Study, Chengdu University, No. 2025 Chengluo Road, Chengdu 610106, China
- Engineering Research Center of Sichuan-Tibet Traditional Medicinal Plant, Chengdu University, Chengdu 610106, China
| | | | - Song Liu
- Berry Genomics Corporation, Beijing 100015, China
| | - Xiaofeng Liu
- College of Life Sciences, Sichuan Normal University, Chengdu 610101, China
| | - Rui Li
- Engineering Research Center of Sichuan-Tibet Traditional Medicinal Plant, Chengdu University, Chengdu 610106, China
- School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China
| | - Junjia Luo
- College of Life Sciences, Sichuan Normal University, Chengdu 610101, China
| | - Zhixi Fu
- College of Life Sciences, Sichuan Normal University, Chengdu 610101, China
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