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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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Ruperao P, Bajaj P, Subramani R, Yadav R, Reddy Lachagari VB, Lekkala SP, Rathore A, Archak S, Angadi UB, Singh R, Singh K, Mayes S, Rangan P. A pilot-scale comparison between single and double-digest RAD markers generated using GBS strategy in sesame (Sesamum indicum L.). PLoS One 2023; 18:e0286599. [PMID: 37267340 DOI: 10.1371/journal.pone.0286599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 05/19/2023] [Indexed: 06/04/2023] Open
Abstract
To reduce the genome sequence representation, restriction site-associated DNA sequencing (RAD-seq) protocols is being widely used either with single-digest or double-digest methods. In this study, we genotyped the sesame population (48 sample size) in a pilot scale to compare single and double-digest RAD-seq (sd and ddRAD-seq) methods. We analysed the resulting short-read data generated from both protocols and assessed their performance impacting the downstream analysis using various parameters. The distinct k-mer count and gene presence absence variation (PAV) showed a significant difference between the sesame samples studied. Additionally, the variant calling from both datasets (sdRAD-seq and ddRAD-seq) exhibits a significant difference between them. The combined variants from both datasets helped in identifying the most diverse samples and possible sub-groups in the sesame population. The most diverse samples identified from each analysis (k-mer, gene PAV, SNP count, Heterozygosity, NJ and PCA) can possibly be representative samples holding major diversity of the small sesame population used in this study. The best possible strategies with suggested inputs for modifications to utilize the RAD-seq strategy efficiently on a large dataset containing thousands of samples to be subjected to molecular analysis like diversity, population structure and core development studies were discussed.
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Affiliation(s)
- Pradeep Ruperao
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Prasad Bajaj
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Rajkumar Subramani
- ICAR-National Bureau of Plant Genetic Resources, PUSA Campus, New Delhi, India
| | - Rashmi Yadav
- ICAR-National Bureau of Plant Genetic Resources, PUSA Campus, New Delhi, India
| | | | | | | | - Sunil Archak
- ICAR-National Bureau of Plant Genetic Resources, PUSA Campus, New Delhi, India
| | - Ulavappa B Angadi
- ICAR-Indian Agricultural Statistical Research Institute, New Delhi, India
| | - Rakesh Singh
- ICAR-National Bureau of Plant Genetic Resources, PUSA Campus, New Delhi, India
| | - Kuldeep Singh
- Genebank, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Sean Mayes
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Parimalan Rangan
- ICAR-National Bureau of Plant Genetic Resources, PUSA Campus, New Delhi, India
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St. Lucia, Australia
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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: 1] [Impact Index Per Article: 1.0] [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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Wang Y, Yang T, Wang X, Sun X, Liu H, Wang D, Wang H, Zhang G, Li Y, Wang X, Wei Z. Develop a preliminary core germplasm with the novel polymorphism EST-SSRs derived from three transcriptomes of colored calla lily ( Zantedeschia hybrida). FRONTIERS IN PLANT SCIENCE 2023; 14:1055881. [PMID: 36818854 PMCID: PMC9933510 DOI: 10.3389/fpls.2023.1055881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 01/06/2023] [Indexed: 06/18/2023]
Abstract
The development of high-throughput sequencing technology has made it possible to develop molecular markers such as EST-SSR from transcriptome sequences in non-model plants such as bulbous flowers. However, the EST-SSR markers that have been developed are weakly validated and low polymorphic due to the short read size and poor quality of the assembled sequences. This study therefore used the CandiSSR pipeline to identify 550 potential polymorphic SSR loci among 487 homologous unigenes based on the transcriptomic sequences of three varieties of colored calla lily, and 460 of these loci with appropriate flanking sequences were suitable for primer pairs design. A further validation with 200 randomly selected EST-SSRs demonstrated an increase of more than 30% and 100% in amplification validity and polymorphism, respectively, in comparison with our previous study. In addition, since most of the current varieties of colored calla lily are hybridized from a few species, which have low genetic diversity, we subsequently identified primary core germplasm for 160 colored calla lily accessions using the aforementioned 40 polymorphic EST-SSRs. It was concluded that the core germplasm containing 42 accessions derived from the M strategy incorporated into the software Power Core was the most representative of all 160 original germplasm, as evidenced by the preservation of 100% of the EST-SSR variation, with a higher level of genetic diversity and heterogeneity (Nei = 0.40, I = 0.66, PIC = 0.43). This study provides a practical example of polymorphism EST-SSR markers developed from multiple transcriptomes for non-model plants. A future breeding program for colored calla lily will also benefit from the core germplasm defined by those molecular markers.
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Affiliation(s)
- Yi Wang
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- College of Horticulture, China Agricultural University, Beijing, China
| | - Tuo Yang
- College of Horticulture, China Agricultural University, Beijing, China
| | - Xue Wang
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Hebei Key Laboratory of Horticultural Germplasm Excavation and Innovative Utilization, College of Horticultural Science & Technology, Hebei Normal University of Science & Technology, Qinhuangdao, China
| | - Xuan Sun
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Hebei Key Laboratory of Horticultural Germplasm Excavation and Innovative Utilization, College of Horticultural Science & Technology, Hebei Normal University of Science & Technology, Qinhuangdao, China
| | - Hongyan Liu
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Hebei Key Laboratory of Horticultural Germplasm Excavation and Innovative Utilization, College of Horticultural Science & Technology, Hebei Normal University of Science & Technology, Qinhuangdao, China
| | - Di Wang
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Hebei Key Laboratory of Horticultural Germplasm Excavation and Innovative Utilization, College of Horticultural Science & Technology, Hebei Normal University of Science & Technology, Qinhuangdao, China
| | - Huanxiao Wang
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Hebei Key Laboratory of Horticultural Germplasm Excavation and Innovative Utilization, College of Horticultural Science & Technology, Hebei Normal University of Science & Technology, Qinhuangdao, China
| | - Guojun Zhang
- Hebei Key Laboratory of Horticultural Germplasm Excavation and Innovative Utilization, College of Horticultural Science & Technology, Hebei Normal University of Science & Technology, Qinhuangdao, China
| | - Yanbing Li
- Landscape Engineering Technology Research Center, Zhoukou Normal University, Zhoukou, China
| | - Xian Wang
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Zunzheng Wei
- Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
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Mesfer ALshamrani S, Safhi FA, Alshaya DS, Ibrahim AA, Mansour H, Abd El Moneim D. Genetic diversity using biochemical, physiological, karyological and molecular markers of Sesamum indicum L. Front Genet 2022; 13:1035977. [PMID: 36313443 PMCID: PMC9597450 DOI: 10.3389/fgene.2022.1035977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 09/28/2022] [Indexed: 11/23/2022] Open
Abstract
The genetic diversity and the relationships among sesame cultivars were investigated using physiological and cyto/molecular analysis. To our information, no studies have yet been conducted on the genetic evaluation of sesame genotypes based on cyto/molecular analysis in Saudi Arabia. This study showed that genotype Bah-312 had the highest values from physiological and biochemical traits (plant height, harvest index, total plant dry matter, seed yield, oil content, and fatty acids content). Using 20 ISSR and 25 SCoT primers, the studied genotypes amplified 233 and 275 alleles, while the average polymorphism percentage (P%) was 65.32% (ISSR) and 77.8% (SCoT) across all the studied genotypes, respectively. To assess the markers efficiency analysis the polymorphism information contents (PIC), Marker Index (MI), Effective Multiplex Ratio (EMR), Resolving Power (Rp) were estimated. In general, primers (ISSR 2 & SCoT 21) and (ISSR 4 & SCoT 3) revealed the highest and lowest values for P %, PIC, MI, and EMR%. Furthermore, 188 positive and negative unique bands were detected, out of which ISSR generated 84, while 104 were amplified by SCoT analysis. In this regard, genotype Bah-312 generated 41 unique amplicons, and Jiz-511 genotype 23 unique amplicons. In the same context, the population genetics parameters, number of different alleles (Na), number of effective alleles (Ne), Shannon’s index (I), expected heterozygosity (He), and Unbiased Expected Heterozygosity (uHe), were calculated. ISSR marker showed the highest values for all the estimated parameters. In this regard, genotype Bah-312 exhibited the highest values (1.35, 1.37, 0.31, 0.21, 0.29) & (1.31, 1.35, 0.30, 0.20, 0.27) while, genotype Ahs-670 revealed the least values (1.29, 1.31, 0.26, 0.16, 0.23) &(1.14, 1.26, 0.22, 0.15, 0.20) for ISSR and SCoT markers respectively. For cytological data, according to the highest asymmetry index (AsK%) and lowest total form percentage (TF%) values, genotype Ahs-670 was the most advanced cultivar, and genotype Bah-312 was the most primitive one. According to the degree of asymmetry of karyotype (A) and intrachromosomal asymmetry index (A1), sesame genotype Ahs-670 was the most asymmetrical, and Bah-312 was the most symmetrical genotype. This study gives some helpful information about the genetic diversity of six sesame landraces. The variation harbored by these landraces could be used in sesame breeding programs.
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Affiliation(s)
| | - Fatmah Ahmed Safhi
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
- *Correspondence: Fatmah Ahmed Safhi,
| | - Dalal Sulaiman Alshaya
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Amira A. Ibrahim
- Botany and Microbiology Department, Faculty of Science, Arish University, El-Arish, Egypt
| | - Hassan Mansour
- Department of Biological Sciences, College of Science & Arts, King Abdulaziz University, Rabigh, Saudi Arabia
- Botany Department, Faculty of Science, Suez Canal University Ismailia, Ismailia, Egypt
| | - Diaa Abd El Moneim
- Department of Plant Production, (Genetic Branch), Faculty of Environmental Agricultural Sciences, Arish University, El-Arish, Egypt
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Huang YH, Ku HM, Wang CA, Chen LY, He SS, Chen S, Liao PC, Juan PY, Kao CF. A multiple phenotype imputation method for genetic diversity and core collection in Taiwanese vegetable soybean. FRONTIERS IN PLANT SCIENCE 2022; 13:948349. [PMID: 36119593 PMCID: PMC9480828 DOI: 10.3389/fpls.2022.948349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 07/25/2022] [Indexed: 06/15/2023]
Abstract
Establishment of vegetable soybean (edamame) [Glycine max (L.) Merr.] germplasms has been highly valued in Asia and the United States owing to the increasing market demand for edamame. The idea of core collection (CC) is to shorten the breeding program so as to improve the availability of germplasm resources. However, multidimensional phenotypes typically are highly correlated and have different levels of missing rate, often failing to capture the underlying pattern of germplasms and select CC precisely. These are commonly observed on correlated samples. To overcome such scenario, we introduced the "multiple imputation" (MI) method to iteratively impute missing phenotypes for 46 morphological traits and jointly analyzed high-dimensional imputed missing phenotypes (EC impu ) to explore population structure and relatedness among 200 Taiwanese vegetable soybean accessions. An advanced maximization strategy with a heuristic algorithm and PowerCore was used to evaluate the morphological diversity among the EC impu . In total, 36 accessions (denoted as CC impu ) were efficiently selected representing high diversity and the entire coverage of the EC impu . Only 4 (8.7%) traits showed slightly significant differences between the CC impu and EC impu . Compared to the EC impu , 96% traits retained all characteristics or had a slight diversity loss in the CC impu . The CC impu exhibited a small percentage of significant mean difference (4.51%), and large coincidence rate (98.1%), variable rate (138.76%), and coverage (close to 100%), indicating the representativeness of the EC impu . We noted that the CC impu outperformed the CC raw in evaluation properties, suggesting that the multiple phenotype imputation method has the potential to deal with missing phenotypes in correlated samples efficiently and reliably without re-phenotyping accessions. Our results illustrated a significant role of imputed missing phenotypes in support of the MI-based framework for plant-breeding programs.
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Affiliation(s)
- Yen-Hsiang Huang
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Hsin-Mei Ku
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Chong-An Wang
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Ling-Yu Chen
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Shan-Syue He
- Department of Agronomy, College of Bioresources and Agriculture, National Taiwan University, Taipei, Taiwan
| | - Shu Chen
- Plant Germplasm Division, Taiwan Agricultural Research Institute, Taichung, Taiwan
| | - Po-Chun Liao
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Pin-Yuan Juan
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
| | - Chung-Feng Kao
- Department of Agronomy, College of Agriculture and Natural Resources, National Chung Hsing University, Taichung, Taiwan
- Advanced Plant Biotechnology Center, National Chung Hsing University, Taichung, Taiwan
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Luo Z, Chen Z, Liu M, Yang L, Zhao Z, Yang D, Ding P. Phenotypic, chemical component and molecular assessment of genetic diversity and population structure of Morinda officinalis germplasm. BMC Genomics 2022; 23:605. [PMID: 35986256 PMCID: PMC9392303 DOI: 10.1186/s12864-022-08817-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 08/02/2022] [Indexed: 11/30/2022] Open
Abstract
Background Morinda officinalis How (MO) is a perennial herb distributed in tropical and subtropical regions, which known as one of the “Four Southern Herbal Medicines”. The extent of genetic variability and the population structure of MO are presently little understood. Here, nine morphological traits, six chemical components and Single nucleotide polymorphism (SNP) markers were used in integrative research of MO germplasm variation among 88 individuals collected from ten populations across four geographical provinces of China. Results Both phenotype and chemical composition have significant genetic variation, and there is a certain correlation between them such as root diameter and the nystose content, as well as geographical distribution. The principal component analysis (PCA) showed the leaf length, leaf width, nystose, 1F-furanosaccharide nystose, and the section color were the major contributors to diversity. The cluster analysis based on phenotypic and oligosaccharide data distinguished three significant groups, which was consistent with the result of a corresponding analysis with 228,615 SNP markers, and importantly, they all showed a significant correlation with geographical origin. However, there was little similarity between two cluster results. The Shannon’s information index (I) varied from 0.17 to 0.53 with a mean of 0.37, suggesting a high level of genetic diversity in MO populations, which mainly existed among individuals within populations, accounting for 99.66% of the total according to the analysis of molecular variance (AMOVA) results. Each population also maintains the connection because of certain gene communication, so that the genetic differentiation between populations was not very significant. The STRUCTURE software was used to analyse the population structure and the result showed that 88 accessions were clustered into three groups, and 67% of them were pure type, which was also confirmed through PCA. Conclusions The comprehensive study of phenotypic, chemical and molecular markers will provide valuable information for future breeding plans and understanding the phylogenetic relationship of MO population. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08817-w.
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Teklu DH, Shimelis H, Tesfaye A, Shayanowako AIT. Analyses of genetic diversity and population structure of sesame (Sesamum indicum L.) germplasm collections through seed oil and fatty acid compositions and SSR markers. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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9
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Molecular characterization of coconut (Cocos nucifera L.) varieties in Vietnam using sequence-related amplified polymorphism (SRAP) markers. Biologia (Bratisl) 2022. [DOI: 10.1007/s11756-022-01136-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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10
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Pandey BB, Ratnakumar P, Usha Kiran B, Dudhe MY, Lakshmi GS, Ramesh K, Guhey A. Identifying Traits Associated With Terminal Drought Tolerance in Sesame ( Sesamum indicum L.) Genotypes. FRONTIERS IN PLANT SCIENCE 2021; 12:739896. [PMID: 34956253 PMCID: PMC8709571 DOI: 10.3389/fpls.2021.739896] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 11/08/2021] [Indexed: 06/14/2023]
Abstract
Sesame is predominantly cultivated in rainfed and low fertile lands and is frequently exposed to terminal drought. Sesamum species inhabiting dryland ecosystems adaptively diverge from those inhabiting rainfed habitats, and drought-specific traits have a genetic basis. In sesame, traits associated with drought conditions have not been explored to date, yet studies of these traits are needed given that drought is predicted to become more frequent and severe in many parts of the world because of climate change. Here, 76 accessions from the available Indian core set were used to quantify variation in several traits under irrigated (WW) and terminal drought stress (WS) conditions as well as their association with seed yield over two consecutive years. The range of trait variation among the studied genotypes under WW and WS was significant. Furthermore, the traits associated with seed yield under WW and WS differed. The per se performance of the accessions indicated that the expression of most traits was reduced under WS. The correlation analysis revealed that the number of branches, leaf area (LA), leaves dry weight (LDW), number of capsules plant-1, and harvest index (HI) were positively correlated with seed yield under WW and WS, and total dry matter (TDM), plant stem weight, and canopy temperature (CT) were negatively correlated with seed yield under WW and WS, indicating that smaller and cooler canopy genotypes had higher yields. The genotypes IC-131936, IC-204045, IC-204861, IC-205363, IC-205311, and IC-73576 with the highest seed yields were characterized by low canopy temperature, high relative water content, and high harvest index under WS. Phenotypic and molecular diversity analysis was conducted on genotypes along with checks. Phenotypic diversity was assessed using multivariate analysis, whereas molecular diversity was estimated using simple sequence repeat (SSR) loci to facilitate the use of sesame in breeding and genetic mapping. SSRs showed low allelic variation, as indicated by a low average number of alleles (2.31) per locus, gene diversity (0.25), and polymorphism information content (0.22). Cluster analysis (CA) [neighbor-joining (NJ) tree] revealed three major genotypic groups and structure analysis showed 4 populations. The diverse genotypes identified with promising morpho-physiological traits can be used in breeding programs to develop new varieties.
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Affiliation(s)
- Brij Bihari Pandey
- Indian Council of Agriculture Research (ICAR)-Indian Institute of Oilseeds Research, Hyderabad, India
- Department of Plant Physiology, Indira Gandhi Agricultural University, Raipur, India
| | - P. Ratnakumar
- Indian Council of Agriculture Research (ICAR)-Indian Institute of Oilseeds Research, Hyderabad, India
| | - B. Usha Kiran
- Indian Council of Agriculture Research (ICAR)-Indian Institute of Oilseeds Research, Hyderabad, India
| | - Mangesh Y. Dudhe
- Indian Council of Agriculture Research (ICAR)-Indian Institute of Oilseeds Research, Hyderabad, India
| | - G. Sowjanya Lakshmi
- Indian Council of Agriculture Research (ICAR)-Indian Institute of Oilseeds Research, Hyderabad, India
- Department of Plant Physiology, Indira Gandhi Agricultural University, Raipur, India
| | - Kulasekaran Ramesh
- Indian Council of Agriculture Research (ICAR)-Indian Institute of Oilseeds Research, Hyderabad, India
| | - Arti Guhey
- Department of Plant Physiology, Indira Gandhi Agricultural University, Raipur, India
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Zhang X, He Q, Zhang W, Shu F, Wang W, He Z, Xiong H, Peng J, Deng H. Genetic relationships and identification of core germplasm among rice photoperiod- and thermo-sensitive genic male sterile lines. BMC PLANT BIOLOGY 2021; 21:313. [PMID: 34215178 PMCID: PMC8252326 DOI: 10.1186/s12870-021-03062-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 05/20/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Harnessing heterosis is one of the major approaches to increase rice yield and has made a great contribution to food security. The identification and selection of outstanding parental genotypes especially among male sterile lines is a key step for exploiting heterosis. Two-line hybrid system is based on the discovery and application of photoperiod- and thermo-sensitive genic sensitive male sterile (PTGMS) materials. The development of wide-range of male sterile lines from a common gene pool leads to a narrower genetic diversity, which is vulnerable to biotic and abiotic stress. Hence, it is valuable to ascertain the genetic background of PTGMS lines and to understand their relationships in order to select and design a future breeding strategy. RESULTS A collection of 118 male sterile rice lines and 13 conventional breeding lines from the major rice growing regions of China was evaluated and screened against the photosensitive (pms3) and temperature sensitive male sterility (tms5) genes. The total gene pool was divided into four major populations as P1 possessing the pms3, P2 possessing tms5, P3 possessing both pms3 and tms5 genes, and P4 containing conventional breeding lines without any male sterility allele. The high genetic purity was revealed by homozygous alleles in all populations. The population admixture, principle components and the phylogenetic analysis revealed the close relations of P2 and P3 with P4. The population differentiation analysis showed that P1 has the highest differentiation coefficient. The lines from P1 were observed as the ancestors of other three populations in a phylogenetic tree, while the lines in P2 and P3 showed a close genetic relation with conventional lines. A core collection of top 10% lines with maximum within and among populations genetic diversity was constructed for future research and breeding efforts. CONCLUSION The low genetic diversity and close genetic relationship among PTGMS lines in P2, P3 and P4 populations suggest a selection sweep and they might result from a backcrossing with common ancestors including the pure lines of P1. The core collection from PTGMS panel updated with new diverse germplasm will serve best for further two-line hybrid breeding.
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Affiliation(s)
- Xianwen Zhang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
- Huazhi Biotech Co. Ltd, Changsha, 410125, China
| | - Qiang He
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Wuhan Zhang
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Fu Shu
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Weiping Wang
- College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, 410128, China
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China
| | - Zhizhou He
- Huazhi Biotech Co. Ltd, Changsha, 410125, China
| | - Hairong Xiong
- School of Chemistry and Materials Science, Hunan Agricultural University, Changsha, 410128, China
| | - Junhua Peng
- Huazhi Biotech Co. Ltd, Changsha, 410125, China
| | - Huafeng Deng
- State Key Laboratory of Hybrid Rice, Hunan Hybrid Rice Research Center, Hunan Academy of Agricultural Sciences, Changsha, 410125, China.
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12
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Berhe M, Dossa K, You J, Mboup PA, Diallo IN, Diouf D, Zhang X, Wang L. Genome-wide association study and its applications in the non-model crop Sesamum indicum. BMC PLANT BIOLOGY 2021; 21:283. [PMID: 34157965 PMCID: PMC8218510 DOI: 10.1186/s12870-021-03046-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 05/17/2021] [Indexed: 05/05/2023]
Abstract
BACKGROUND Sesame is a rare example of non-model and minor crop for which numerous genetic loci and candidate genes underlying features of interest have been disclosed at relatively high resolution. These progresses have been achieved thanks to the applications of the genome-wide association study (GWAS) approach. GWAS has benefited from the availability of high-quality genomes, re-sequencing data from thousands of genotypes, extensive transcriptome sequencing, development of haplotype map and web-based functional databases in sesame. RESULTS In this paper, we reviewed the GWAS methods, the underlying statistical models and the applications for genetic discovery of important traits in sesame. A novel online database SiGeDiD ( http://sigedid.ucad.sn/ ) has been developed to provide access to all genetic and genomic discoveries through GWAS in sesame. We also tested for the first time, applications of various new GWAS multi-locus models in sesame. CONCLUSIONS Collectively, this work portrays steps and provides guidelines for efficient GWAS implementation in sesame, a non-model crop.
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Affiliation(s)
- Muez Berhe
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, and Rural Affairs, No.2 Xudong 2nd Road, Wuhan, 430062, China
- Humera Agricultural Research Center of Tigray Agricultural Research Institute, Humera, Tigray, Ethiopia
| | - Komivi Dossa
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, and Rural Affairs, No.2 Xudong 2nd Road, Wuhan, 430062, China.
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, 10700, Dakar, Senegal.
- Laboratory of Genetics, Horticulture and Seed Sciences, Faculty of Agronomic Sciences, University of Abomey-Calavi, 01 BP 526, Cotonou, Republic of Benin.
| | - Jun You
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, and Rural Affairs, No.2 Xudong 2nd Road, Wuhan, 430062, China
| | - Pape Adama Mboup
- Département de Mathématiques et Informatique, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, 10700, Dakar, Senegal
| | - Idrissa Navel Diallo
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, 10700, Dakar, Senegal
- Département de Mathématiques et Informatique, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, 10700, Dakar, Senegal
| | - Diaga Diouf
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, 10700, Dakar, Senegal
| | - Xiurong Zhang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, and Rural Affairs, No.2 Xudong 2nd Road, Wuhan, 430062, China
| | - Linhai Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, and Rural Affairs, No.2 Xudong 2nd Road, Wuhan, 430062, China.
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Characterization of the Genetic Diversity Present in a Diverse Sesame Landrace Collection Based on Phenotypic Traits and EST-SSR Markers Coupled With an HRM Analysis. PLANTS 2021; 10:plants10040656. [PMID: 33808174 PMCID: PMC8066031 DOI: 10.3390/plants10040656] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 03/23/2021] [Accepted: 03/26/2021] [Indexed: 11/16/2022]
Abstract
A selection of sesame (Sesamum indicum L.) landraces of different eco-geographical origin and breeding history have been characterized using 28 qualitative morpho-physiological descriptors and seven expressed sequence tag-simple sequence repeat (EST-SSR) markers coupled with a high-resolution melting (HRM) analysis. The most variable qualitative traits that could efficiently discriminate landraces, as revealed by the correlation analyses, were the plant growth type and position of the branches, leaf blade width, stem pubescence, flowering initiation, capsule traits and seed coat texture. The agglomerative hierarchical clustering analysis based on a dissimilarity matrix highlighted three main groups among the sesame landraces. An EST-SSR marker analysis revealed an average polymorphism information content (PIC) value of 0.82, which indicated that the selected markers were highly polymorphic. A principal coordinate analysis and dendrogram reconstruction based on the molecular data classified the sesame genotypes into four major clades. Both the morpho-physiological and molecular analyses showed that landraces from the same geographical origin were not always grouped in the same cluster, forming heterotic groups; however, clustering patterns were observed for the Greek landraces. The selective breeding of such traits could be employed to unlock the bottleneck of local phenotypic diversity and create new cultivars with desirable traits.
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14
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Mahmoodi R, Dadpour MR, Hassani D, Zeinalabedini M, Vendramin E, Leslie CA. Composite core set construction and diversity analysis of Iranian walnut germplasm using molecular markers and phenotypic traits. PLoS One 2021; 16:e0248623. [PMID: 33725012 PMCID: PMC7963058 DOI: 10.1371/journal.pone.0248623] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 03/02/2021] [Indexed: 11/29/2022] Open
Abstract
Iran is a center of origin and diversity for walnuts (Juglans regia L.) with very good potential for breeding purposes. The rich germplasm available, creates an opportunity for study and selection of the diverse walnut genotypes. In this study, the population structure of 104 Persian walnut accessions was assessed using AFLP markers in combination with phenotypic variability of 17 and 18 qualitative and quantitative traits respetively. The primers E-TG/M-CAG, with high values of number of polymorphic bands, polymorphic information content, marker index and Shannon’s diversity index, were the most effective in detecting genetic variation within the walnut germplasm. Multivariate analysis of variance indicated 93.98% of the genetic variability was between individuals, while 6.32% of variation was among populations. A relatively new technique, an advanced maximization strategy with a heuristic approach, was deployed to develop the core collection. Initially, three independent core collections (CC1–CC3) were created using phenotypic data and molecular markers. The three core collections (CC1–CC3) were then merged to generate a composite core collection (CC4). The mean difference percentage, variance difference percentage, variable rate of coefficient of variance percentage, coincidence rate of range percentage, Shannon’s diversity index, and Nei’s gene diversity were employed for comparative analysis. The CC4 with 46 accessions represented the complete range of phenotypic and genetic variability. This study is the first report describing development of a core collection in walnut using molecular marker data in combination with phenotypic values. The construction of core collection could facilitate the work for identification of genetic determinants of trait variability and aid effective utilization of diversity caused by outcrossing, in walnut breeding programs.
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Affiliation(s)
- Razieh Mahmoodi
- Department of Horticulture Sciences, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
- Temperate Fruits Research Center, Horticultural Science Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Mohammad Reza Dadpour
- Department of Horticulture Sciences, Faculty of Agriculture, University of Tabriz, Tabriz, Iran
- * E-mail: (DH); (MRD)
| | - Darab Hassani
- Temperate Fruits Research Center, Horticultural Science Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
- * E-mail: (DH); (MRD)
| | - Mehrshad Zeinalabedini
- Systems Biology Department, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Elisa Vendramin
- Centro di Ricerca per l’Olivicoltura, Frutticoltura e Agrumicoltura, Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Roma, Italy
| | - Charles A. Leslie
- Department of Plant Sciences, University of California, Davis, CA, United States of America
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15
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Sustainable Sesame (Sesamum indicum L.) Production through Improved Technology: An Overview of Production, Challenges, and Opportunities in Myanmar. SUSTAINABILITY 2020. [DOI: 10.3390/su12093515] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
This paper aims to review the research achievements concerning sustainable sesame (Sesamum indicum L.) production and outlook on the production constraints and future perspectives for Myanmar sesame. Sesame is an economically and nutritionally important crop, and it is prized for oil. The global sesame market demand is rising with increasing health awareness. Meanwhile, there is high competition in the market among producing countries for an international trade. Smallholder farmers in developing countries cultivate sesame as a cash crop on marginal soils. The edible oilseed sectors currently face several challenges, including ones affecting sesame crops. For sustainable production of sesame, an integrated approach is needed to overcome these challenges and the critical limiting factors should be identified. In recent years, sesame genomic resources, including molecular markers, genetic maps, genome sequences, and online functional databases, are available for sesame genetic improvement programs. Since ancient times, sesame has been cultivated in Myanmar, but productivity is still lower than that of other sesame producing countries. Myanmar sesame production is limited by many factors, including production technology, research and development, etc. With integration of these genomic resources, crop production and protection techniques, postharvest practices, crop improvement programs, and capacity building will play a crucial role for improving sesame production in Myanmar.
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16
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Chen C, Chu Y, Ding C, Su X, Huang Q. Genetic diversity and population structure of black cottonwood (Populus deltoides) revealed using simple sequence repeat markers. BMC Genet 2020; 21:2. [PMID: 31906843 PMCID: PMC6945526 DOI: 10.1186/s12863-019-0805-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 12/19/2019] [Indexed: 11/30/2022] Open
Abstract
Background Black cottonwood (Populus deltoides) is one of the keystone forest tree species, and has become the main breeding parents in poplar hybrid breeding. However, the genetic diversity and population structure of the introduced resources are not fully understood. Results In the present study, five loci containing null alleles were excluded and 15 pairs of SSR (simple sequence repeat) primers were used to analyze the genetic diversity and population structure of 384 individuals from six provenances (Missouri, Iowa, Washington, Louisiana, and Tennessee (USA), and Quebec in Canada) of P. deltoides. Ultimately, 108 alleles (Na) were detected; the expected heterozygosity (He) per locus ranged from 0.070 to 0.905, and the average polymorphic information content (PIC) was 0.535. The provenance ‘Was’ had a relatively low genetic diversity, while ‘Que’, ‘Lou’, and ‘Ten’ provenances had high genetic diversity, with Shannon’s information index (I) above 1.0. The mean coefficient of genetic differentiation (Fst) and gene flow (Nm) were 0.129 and 1.931, respectively. Analysis of molecular variance (AMOVA) showed that 84.88% of the genetic variation originated from individuals. Based on principal coordinate analysis (PCoA) and STRUCTURE cluster analysis, individuals distributed in the Mississippi River Basin were roughly classified as one group, while those distributed in the St. Lawrence River Basin and Columbia River Basin were classified as another group. The cluster analysis based on the population level showed that provenance ‘Iow’ had a small gene flow and high degree of genetic differentiation compared with the other provenances, and was classified into one group. There was a significant relationship between genetic distance and geographical distance. Conclusions P. deltoides resources have high genetic diversity and there is a moderate level of genetic differentiation among provenances. Geographical isolation and natural conditions may be the main factors causing genetic differences among individuals. Individuals reflecting population genetic information can be selected to build a core germplasm bank. Meanwhile, the results could provide theoretical support for the scientific management and efficient utilization of P. deltoides genetic resources, and promote the development of molecular marker-assisted breeding of poplar.
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Affiliation(s)
- Cun Chen
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.,Key Laboratory of Tree Breeding and Cultivation, State Forestry and Grassland Administration, Beijing, China
| | - Yanguang Chu
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.,Key Laboratory of Tree Breeding and Cultivation, State Forestry and Grassland Administration, Beijing, China
| | - Changjun Ding
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China.,Key Laboratory of Tree Breeding and Cultivation, State Forestry and Grassland Administration, Beijing, China
| | - Xiaohua Su
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China. .,Key Laboratory of Tree Breeding and Cultivation, State Forestry and Grassland Administration, Beijing, China. .,Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu Province, China.
| | - Qinjun Huang
- State Key Laboratory of Tree Genetics and Breeding, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China. .,Key Laboratory of Tree Breeding and Cultivation, State Forestry and Grassland Administration, Beijing, China.
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17
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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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18
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Yu J, Golicz AA, Lu K, Dossa K, Zhang Y, Chen J, Wang L, You J, Fan D, Edwards D, Zhang X. Insight into the evolution and functional characteristics of the pan-genome assembly from sesame landraces and modern cultivars. PLANT BIOTECHNOLOGY JOURNAL 2019; 17:881-892. [PMID: 30315621 PMCID: PMC6587448 DOI: 10.1111/pbi.13022] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 09/28/2018] [Accepted: 10/10/2018] [Indexed: 05/08/2023]
Abstract
Sesame (Sesamum indicum L.) is an important oil crop renowned for its high oil content and quality. Recently, genome assemblies for five sesame varieties including two landraces (S. indicum cv. Baizhima and Mishuozhima) and three modern cultivars (S. indicum var. Zhongzhi13, Yuzhi11 and Swetha), have become available providing a rich resource for comparative genomic analyses and gene discovery. Here, we employed a reference-assisted assembly approach to improve the draft assemblies of four of the sesame varieties. We then constructed a sesame pan-genome of 554.05 Mb. The pan-genome contained 26 472 orthologous gene clusters; 15 409 (58.21%) of them were core (present across all five sesame genomes), whereas the remaining 41.79% (11 063) clusters and the 15 890 variety-specific genes were dispensable. Comparisons between varieties suggest that modern cultivars from China and India display significant genomic variation. The gene families unique to the sesame modern cultivars contain genes mainly related to yield and quality, while those unique to the landraces contain genes involved in environmental adaptation. Comparative evolutionary analysis indicates that several genes involved in plant-pathogen interaction and lipid metabolism are under positive selection, which may be associated with sesame environmental adaption and selection for high seed oil content. This study of the sesame pan-genome provides insights into the evolution and genomic characteristics of this important oilseed and constitutes a resource for further sesame crop improvement.
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Affiliation(s)
- Jingyin Yu
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research InstituteThe Chinese Academy of Agricultural SciencesWuhanChina
| | - Agnieszka A. Golicz
- Plant Molecular Biology and Biotechnology LaboratoryFaculty of Veterinary and Agricultural SciencesUniversity of MelbourneParkvilleMelbourneVicAustralia
| | - Kun Lu
- College of Agronomy and Biotechnology, and Academy of Agricultural SciencesSouthwest UniversityBeibeiChongqingChina
| | - Komivi Dossa
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research InstituteThe Chinese Academy of Agricultural SciencesWuhanChina
- Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS)ThièsSenegal
| | - Yanxin Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research InstituteThe Chinese Academy of Agricultural SciencesWuhanChina
| | - Jinfeng Chen
- Department of Plant Pathology & MicrobiologyUniversity of CaliforniaRiversideCAUSA
| | - Linhai Wang
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research InstituteThe Chinese Academy of Agricultural SciencesWuhanChina
| | - Jun You
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research InstituteThe Chinese Academy of Agricultural SciencesWuhanChina
| | | | - David Edwards
- School of Biological Sciences and Institute of AgricultureUniversity of Western AustraliaPerthWAAustralia
| | - Xiurong Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research InstituteThe Chinese Academy of Agricultural SciencesWuhanChina
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Dossa K, Yu J, Liao B, Cisse N, Zhang X. Development of Highly Informative Genome-Wide Single Sequence Repeat Markers for Breeding Applications in Sesame and Construction of a Web Resource: SisatBase. FRONTIERS IN PLANT SCIENCE 2017; 8:1470. [PMID: 28878802 PMCID: PMC5572293 DOI: 10.3389/fpls.2017.01470] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Accepted: 08/08/2017] [Indexed: 05/21/2023]
Abstract
The sequencing of the full nuclear genome of sesame (Sesamum indicum L.) provides the platform for functional analyses of genome components and their application in breeding programs. Although the importance of microsatellites markers or simple sequence repeats (SSR) in crop genotyping, genetics, and breeding applications is well established, only a little information exist concerning SSRs at the whole genome level in sesame. In addition, SSRs represent a suitable marker type for sesame molecular breeding in developing countries where it is mainly grown. In this study, we identified 138,194 genome-wide SSRs of which 76.5% were physically mapped onto the 13 pseudo-chromosomes. Among these SSRs, up to three primers pairs were supplied for 101,930 SSRs and used to in silico amplify the reference genome together with two newly sequenced sesame accessions. A total of 79,957 SSRs (78%) were polymorphic between the three genomes thereby suggesting their promising use in different genomics-assisted breeding applications. From these polymorphic SSRs, 23 were selected and validated to have high polymorphic potential in 48 sesame accessions from different growing areas of Africa. Furthermore, we have developed an online user-friendly database, SisatBase (http://www.sesame-bioinfo.org/SisatBase/), which provides free access to SSRs data as well as an integrated platform for functional analyses. Altogether, the reference SSR and SisatBase would serve as useful resources for genetic assessment, genomic studies, and breeding advancement in sesame, especially in developing countries.
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Affiliation(s)
- Komivi Dossa
- 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
- Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la SécheresseThiès, Senegal
| | - 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
| | - 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
| | - Ndiaga Cisse
- Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la SécheresseThiès, Senegal
| | - 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
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20
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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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Wei X, Gong H, Yu J, Liu P, Wang L, Zhang Y, Zhang X. SesameFG: an integrated database for the functional genomics of sesame. Sci Rep 2017; 7:2342. [PMID: 28539606 PMCID: PMC5443765 DOI: 10.1038/s41598-017-02586-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 04/12/2017] [Indexed: 11/09/2022] Open
Abstract
Sesame (Sesamum indicum L.) has high oil content, a small diploid genome and a short growth period, making it an attractive species for genetic studies on oilseed crops. With the advancement of next-generation sequencing technology, genomics and functional genomics research of sesame has developed quickly in the last few years, and large amounts of data have been generated. However, these results are distributed in many different publications, and there is a lack of integration. To promote functional genomics research of sesame, we collected genetic information combined with comprehensive phenotypic information and integrated them in the web-based database named SesameFG. The current version of SesameFG contains phenotypic information on agronomic traits of 705 sesame accessions, de novo assembled genomes of three sesame varieties, massive numbers of identified SNPs, gene expression profiles of five tissues, gene families, candidate genes for the important agronomic traits and genomic-SSR markers. All phenotypic and genotypic information in SesameFG is available for online queries and can be downloaded freely. SesameFG provides useful search functions and data mining tools, including Genome Browser and local BLAST services. SesameFG is freely accessible at http://ncgr.ac.cn/SesameFG/. SesameFG provides valuable resources and tools for functional genomics research and the molecular breeding of sesame.
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Affiliation(s)
- Xin Wei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oilcrops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Hao Gong
- National Center for Gene Research, Collaborative Innovation Center for Genetics and Development, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200233, China
| | - Jingyin Yu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oilcrops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Pan Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oilcrops 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 of People's Republic of China, Oilcrops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Yanxin Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oilcrops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China
| | - Xiurong Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture of People's Republic of China, Oilcrops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, 430062, China.
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Ali Al-Somain BH, Migdadi HM, Al-Faifi SA, Alghamdi SS, Muharram AA, Mohammed NA, Refay YA. Assessment of genetic diversity of sesame accessions collected from different ecological regions using sequence-related amplified polymorphism markers. 3 Biotech 2017; 7:82. [PMID: 28500406 DOI: 10.1007/s13205-017-0680-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2016] [Accepted: 02/27/2017] [Indexed: 11/30/2022] Open
Abstract
Sequence-related amplified polymorphism (SRAP) markers were used to assess the genetic diversity among a collection of 52 sesame accessions representing different geographical environments, including eight Saudi landraces. A combination of seventeen primers generated a high number of alleles (365) with 100% polymorphism. The polymorphic information content (PIC) and primer discrimination power (DP) recorded overall means of 0.88 and 5.88, respectively. Genetic similarity values based on Jaccard coefficients ranged from 0.12 to 0.49, with an average similarity value of 0.30, indicating both high genetic distance and a wide genetic basis of the investigated accessions. The unweighted pair group method with arithmetic mean (UPGMA) dendrogram grouped 48 of 52 accessions into seven main clusters, and five accessions failed to form clusters and were separated individually. However, subclusters separated the accessions and, considering the relatedness of accessions and their geographical origin, formed distinct diversity among groups. Saudi landraces showed the widest genetic basis compared with other introduced accessions that were distributed throughout the dendrogram, indicating that agro-ecological zones were indistinguishable by cluster analysis. SRAP analysis revealed a high degree of genetic polymorphism in sesame accessions investigated and showed weak association between geographical origin and SRAP patterns. This wide genetic variability should be considered for sesame breeding programs.
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Affiliation(s)
- Bazel H Ali Al-Somain
- Department of Plant Production, College of food and agricultural sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia
| | - Hussein M Migdadi
- Department of Plant Production, College of food and agricultural sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia.
| | - Sulieman A Al-Faifi
- Department of Plant Production, College of food and agricultural sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia
| | - Salem S Alghamdi
- Department of Plant Production, College of food and agricultural sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia
| | - Abdulmalek A Muharram
- Department of Plant Production, College of food and agricultural sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia
| | - Nabil A Mohammed
- Department of Plant Production, College of food and agricultural sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia
| | - Yahya A Refay
- Department of Plant Production, College of food and agricultural sciences, King Saud University, P.O. Box 2460, Riyadh, 11451, Saudi Arabia
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Cui C, Mei H, Liu Y, Zhang H, Zheng Y. Genetic Diversity, Population Structure, and Linkage Disequilibrium of an Association-Mapping Panel Revealed by Genome-Wide SNP Markers in Sesame. FRONTIERS IN PLANT SCIENCE 2017; 8:1189. [PMID: 28729877 PMCID: PMC5498554 DOI: 10.3389/fpls.2017.01189] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Accepted: 06/22/2017] [Indexed: 05/11/2023]
Abstract
The characterization of genetic diversity and population structure can be used in tandem to detect reliable phenotype-genotype associations. In the present study, we genotyped a set of 366 sesame germplasm accessions by using 89,924 single-nucleotide polymorphisms (SNPs). The number of SNPs on each chromosome was consistent with the physical length of the respective chromosome, and the average marker density was approximately 2.67 kb/SNP. The genetic diversity analysis showed that the average nucleotide diversity of the panel was 1.1 × 10-3, with averages of 1.0 × 10-4, 2.7 × 10-4, and 3.6 × 10-4 obtained, respectively for three identified subgroups of the panel: Pop 1, Pop 2, and the Mixed. The genetic structure analysis revealed that these sesame germplasm accessions were structured primarily along the basis of their geographic collection, and that an extensive admixture occurred in the panel. The genome-wide linkage disequilibrium (LD) analysis showed that an average LD extended up to ∼99 kb. The genetic diversity and population structure revealed in this study should provide guidance to the future design of association studies and the systematic utilization of the genetic variation characterizing the sesame panel.
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Affiliation(s)
- Chengqi Cui
- National Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Research Institute, Nanjing Agricultural UniversityNanjing, China
| | - Hongxian Mei
- Henan Sesame Research Center, Henan Academy of Agricultural SciencesZhengzhou, China
- Key Laboratory of Oil Crops in Huanghuaihai Plain, Ministry of AgricultureZhengzhou, China
- Henan Provincial Key Laboratory for Oil Crops ImprovementZhengzhou, China
| | - Yanyang Liu
- Henan Sesame Research Center, Henan Academy of Agricultural SciencesZhengzhou, China
- Key Laboratory of Oil Crops in Huanghuaihai Plain, Ministry of AgricultureZhengzhou, China
- Henan Provincial Key Laboratory for Oil Crops ImprovementZhengzhou, China
| | - Haiyang Zhang
- Henan Sesame Research Center, Henan Academy of Agricultural SciencesZhengzhou, China
- Key Laboratory of Oil Crops in Huanghuaihai Plain, Ministry of AgricultureZhengzhou, China
- Henan Provincial Key Laboratory for Oil Crops ImprovementZhengzhou, China
- *Correspondence: Haiyang Zhang, Yongzhan Zheng,
| | - Yongzhan Zheng
- Henan Sesame Research Center, Henan Academy of Agricultural SciencesZhengzhou, China
- Key Laboratory of Oil Crops in Huanghuaihai Plain, Ministry of AgricultureZhengzhou, China
- Henan Provincial Key Laboratory for Oil Crops ImprovementZhengzhou, China
- *Correspondence: Haiyang Zhang, Yongzhan Zheng,
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Kumar S, Ambreen H, Variath MT, Rao AR, Agarwal M, Kumar A, Goel S, Jagannath A. Utilization of Molecular, Phenotypic, and Geographical Diversity to Develop Compact Composite Core Collection in the Oilseed Crop, Safflower ( Carthamus tinctorius L.) through Maximization Strategy. FRONTIERS IN PLANT SCIENCE 2016; 7:1554. [PMID: 27807441 PMCID: PMC5069285 DOI: 10.3389/fpls.2016.01554] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Accepted: 10/03/2016] [Indexed: 05/22/2023]
Abstract
Safflower (Carthamus tinctorius L.) is a dryland oilseed crop yielding high quality edible oil. Previous studies have described significant phenotypic variability in the crop and used geographical distribution and phenotypic trait values to develop core collections. However, the molecular diversity component was lacking in the earlier collections thereby limiting their utility in breeding programs. The present study evaluated the phenotypic variability for 12 agronomically important traits during two growing seasons (2011-12 and 2012-13) in a global reference collection of 531 safflower accessions, assessed earlier by our group for genetic diversity and population structure using AFLP markers. Significant phenotypic variation was observed for all the agronomic traits in the representative collection. Cluster analysis of phenotypic data grouped the accessions into five major clusters. Accessions from the Indian Subcontinent and America harbored maximal phenotypic variability with unique characters for a few traits. MANOVA analysis indicated significant interaction between genotypes and environment for both the seasons. Initially, six independent core collections (CC1-CC6) were developed using molecular marker and phenotypic data for two seasons through POWERCORE and MSTRAT. These collections captured the entire range of trait variability but failed to include complete genetic diversity represented in 19 clusters reported earlier through Bayesian analysis of population structure (BAPS). Therefore, we merged the three POWERCORE core collections (CC1-CC3) to generate a composite core collection, CartC1 and three MSTRAT core collections (CC4-CC6) to generate another composite core collection, CartC2. The mean difference percentage, variance difference percentage, variable rate of coefficient of variance percentage, coincidence rate of range percentage, Shannon's diversity index, and Nei's gene diversity for CartC1 were 11.2, 43.7, 132.4, 93.4, 0.47, and 0.306, respectively while the corresponding values for CartC2 were 9.3, 58.8, 124.6, 95.8, 0.46, and 0.301. Each composite core collection represented the complete range of phenotypic and genetic variability of the crop including 19 BAPS clusters. This is the first report describing development of core collections in safflower using molecular marker data with phenotypic values and geographical distribution. These core collections will facilitate identification of genetic determinants of trait variability and effective utilization of the prevalent diversity in crop improvement programs.
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Affiliation(s)
| | - Heena Ambreen
- Department of Botany, University of DelhiNew Delhi, India
| | | | - Atmakuri R. Rao
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research-Indian Agricultural Statistics Research InstituteNew Delhi, India
| | - Manu Agarwal
- Department of Botany, University of DelhiNew Delhi, India
| | - Amar Kumar
- Department of Botany, University of DelhiNew Delhi, India
| | | | - Arun Jagannath
- Department of Botany, University of DelhiNew Delhi, India
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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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Dossa K, Wei X, Zhang Y, Fonceka D, Yang W, Diouf D, Liao B, Cissé N, Zhang X. Analysis of Genetic Diversity and Population Structure of Sesame Accessions from Africa and Asia as Major Centers of Its Cultivation. Genes (Basel) 2016; 7:genes7040014. [PMID: 27077887 PMCID: PMC4846844 DOI: 10.3390/genes7040014] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 03/29/2016] [Accepted: 03/30/2016] [Indexed: 11/18/2022] Open
Abstract
Sesame is an important oil crop widely cultivated in Africa and Asia. Understanding the genetic diversity of accessions from these continents is critical to designing breeding methods and for additional collection of sesame germplasm. To determine the genetic diversity in relation to geographical regions, 96 sesame accessions collected from 22 countries distributed over six geographic regions in Africa and Asia were genotyped using 33 polymorphic SSR markers. Large genetic variability was found within the germplasm collection. The total number of alleles was 137, averaging 4.15 alleles per locus. The accessions from Asia displayed more diversity than those from Africa. Accessions from Southern Asia (SAs), Eastern Asia (EAs), and Western Africa (WAf) were highly diversified, while those from Western Asia (WAs), Northern Africa (NAf), and Southeastern Africa (SAf) had the lowest diversity. The analysis of molecular variance revealed that more than 44% of the genetic variance was due to diversity among geographic regions. Five subpopulations, including three in Asia and two in Africa, were cross-identified through phylogenetic, PCA, and STRUCTURE analyses. Most accessions clustered in the same population based on their geographical origins. Our results provide technical guidance for efficient management of sesame genetic resources in breeding programs and further collection of sesame germplasm from these different regions.
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Affiliation(s)
- Komivi Dossa
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, No. 2 Xudong 2nd Road, 430062 Wuhan, Hubei, China.
- Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS), BP 3320 Route de Khombole, Thiès 21000, Senegal.
| | - Xin Wei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, No. 2 Xudong 2nd Road, 430062 Wuhan, Hubei, China.
| | - Yanxin Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, No. 2 Xudong 2nd Road, 430062 Wuhan, Hubei, China.
| | - Daniel Fonceka
- Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS), BP 3320 Route de Khombole, Thiès 21000, Senegal.
- Centre de coopération internationale en recherche agronomique pour le développement (CIRAD), UMR AGAP, F-34398 Montpellier, France.
| | - Wenjuan Yang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, No. 2 Xudong 2nd Road, 430062 Wuhan, Hubei, China.
| | - Diaga Diouf
- Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, BP 5005 Dakar-Fann, Dakar 107000, Senegal.
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, No. 2 Xudong 2nd Road, 430062 Wuhan, Hubei, China.
| | - Ndiaga Cissé
- Centre d'Etudes Régional pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS), BP 3320 Route de Khombole, Thiès 21000, Senegal.
| | - Xiurong Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, No. 2 Xudong 2nd Road, 430062 Wuhan, Hubei, China.
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Borrayo E, Machida-Hirano R, Takeya M, Kawase M, Watanabe K. Principal components analysis--K-means transposon element based foxtail millet core collection selection method. BMC Genet 2016; 17:42. [PMID: 26880119 PMCID: PMC4754896 DOI: 10.1186/s12863-016-0343-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2015] [Accepted: 02/01/2016] [Indexed: 11/21/2022] Open
Abstract
Background Core collections are important tools in genetic resources research and administration. At present, most core collection selection criteria are based on one of the following item characteristics: passport data, genetic markers, or morphological traits, which may lead to inadequate representations of variability in the complete collection. The development of a comprehensive methodology that includes as much element data as possible has been explored poorly. Using a collection of (Setaria italica sbsp. italica (L.) P. Beauv.) as a model, we developed a method for core collection construction based on genotype data and numerical representations of agromorphological traits, thereby improving the selection process. Results Principal component analysis allows the selection of the most informative discriminators among the various elements evaluated, regardless of whether they are genetic or morphological, thereby providing an adequate criterion for further K-mean clustering. Overall, the core collections of S. italica constructed using only genotype data demonstrated overall better validation scores than other core collections that we generated. However, core collection based on both genotype and agromorphological characteristics represented the overall diversity adequately. Conclusions The inclusion of both genotype and agromorphological characteristics as a comprehensive dataset in this methodology ensures that agricultural traits are considered in the core collection construction. This approach will be beneficial for genetic resources management and research activities for S. italica as well as other genetic resources. Electronic supplementary material The online version of this article (doi:10.1186/s12863-016-0343-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ernesto Borrayo
- Gene Research Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, 305-8571, Ibaraki, Japan. .,Genetc Resources Center, National Institute of Agrobiological Sciences, 2-1-2 Kannodai, Tsukuba City, 305-8602, Ibaraki, Japan.
| | - Ryoko Machida-Hirano
- Gene Research Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, 305-8571, Ibaraki, Japan.
| | - Masaru Takeya
- Genetc Resources Center, National Institute of Agrobiological Sciences, 2-1-2 Kannodai, Tsukuba City, 305-8602, Ibaraki, Japan.
| | - Makoto Kawase
- Gene Research Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, 305-8571, Ibaraki, Japan.
| | - Kazuo Watanabe
- Gene Research Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba City, 305-8571, Ibaraki, Japan.
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Bajaj D, Das S, Badoni S, Kumar V, Singh M, Bansal KC, Tyagi AK, Parida SK. Genome-wide high-throughput SNP discovery and genotyping for understanding natural (functional) allelic diversity and domestication patterns in wild chickpea. Sci Rep 2015; 5:12468. [PMID: 26208313 PMCID: PMC4513697 DOI: 10.1038/srep12468] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Accepted: 06/29/2015] [Indexed: 12/22/2022] Open
Abstract
We identified 82489 high-quality genome-wide SNPs from 93 wild and cultivated Cicer accessions through integrated reference genome- and de novo-based GBS assays. High intra- and inter-specific polymorphic potential (66-85%) and broader natural allelic diversity (6-64%) detected by genome-wide SNPs among accessions signify their efficacy for monitoring introgression and transferring target trait-regulating genomic (gene) regions/allelic variants from wild to cultivated Cicer gene pools for genetic improvement. The population-specific assignment of wild Cicer accessions pertaining to the primary gene pool are more influenced by geographical origin/phenotypic characteristics than species/gene-pools of origination. The functional significance of allelic variants (non-synonymous and regulatory SNPs) scanned from transcription factors and stress-responsive genes in differentiating wild accessions (with potential known sources of yield-contributing and stress tolerance traits) from cultivated desi and kabuli accessions, fine-mapping/map-based cloning of QTLs and determination of LD patterns across wild and cultivated gene-pools are suitably elucidated. The correlation between phenotypic (agromorphological traits) and molecular diversity-based admixed domestication patterns within six structured populations of wild and cultivated accessions via genome-wide SNPs was apparent. This suggests utility of whole genome SNPs as a potential resource for identifying naturally selected trait-regulating genomic targets/functional allelic variants adaptive to diverse agroclimatic regions for genetic enhancement of cultivated gene-pools.
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Affiliation(s)
- Deepak Bajaj
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Shouvik Das
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Saurabh Badoni
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Vinod Kumar
- National Research Centre on Plant Biotechnology (NRCPB), New Delhi-110012, India
| | - Mohar Singh
- National Bureau of Plant Genetic Resources (NBPGR), New Delhi-110012, India
| | - Kailash C. Bansal
- National Bureau of Plant Genetic Resources (NBPGR), New Delhi-110012, India
| | - Akhilesh K. Tyagi
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
| | - Swarup K. Parida
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110067, India
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29
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Wang L, Han X, Zhang Y, Li D, Wei X, Ding X, Zhang X. Deep resequencing reveals allelic variation in Sesamum indicum. BMC PLANT BIOLOGY 2014; 14:225. [PMID: 25138716 PMCID: PMC4148021 DOI: 10.1186/s12870-014-0225-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2014] [Accepted: 08/12/2014] [Indexed: 05/24/2023]
Abstract
BACKGROUND Characterization of genome-wide patterns of allelic variation and linkage disequilibrium can be used to detect reliable phenotype-genotype associations and signatures of molecular selection. However, the use of Sesamum indicum germplasm for breeding is limited by the lack of polymorphism data. RESULTS Here we describe the massively parallel resequencing of 29 sesame strains from 12 countries at a depth of ≥ 13-fold coverage for each of the samples tested. We detected an average of 127,347 SNPs, 17,961 small InDels, and 9,266 structural variants per sample. The population SNP rate, population diversity (π) and Watterson's estimator of segregating sites (θw) were estimated at 8.6 × 10⁻³, 2.5 × 10⁻³ and 3.0 × 10⁻³ bp⁻¹, respectively. Of these SNPs, 23.2% were located within coding regions. Polymorphism patterns were nonrandom among gene families, with genes mediating interactions with the biotic or abiotic environment exhibiting high levels of polymorphism. The linkage disequilibrium (LD) decay distance was estimated at 150 kb, with no distinct structure observed in the population. Phylogenetic relationships between each of the 29 sesame strains were consistent with the hypothesis of sesame originating on the Indian subcontinent. In addition, we proposed novel roles for adenylate isopentenyltransferase (ITP) genes in determining the number of flowers per leaf axil of sesame by mediating zeatin biosynthesis. CONCLUSIONS This study represents the first report of genome-wide patterns of genetic variation in sesame. The high LD distance and abundant polymorphisms described here increase our understanding of the forces shaping population-wide sequence variation in sesame and will be a valuable resource for future gene-phenotype and genome-wide association studies (GWAS).
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Affiliation(s)
- Linhai Wang
- />Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Wuhan, 430062 China
| | - Xuelian Han
- />Beijing Genomics Institute (BGI) − Shenzhen, Shenzhen, China
- />1gene, Hangzhou, China
| | - Yanxin Zhang
- />Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Wuhan, 430062 China
| | - Donghua Li
- />Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Wuhan, 430062 China
| | - Xin Wei
- />Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Wuhan, 430062 China
| | - Xia Ding
- />Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Wuhan, 430062 China
| | - Xiurong Zhang
- />Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops of the Ministry of Agriculture, Wuhan, 430062 China
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Wu K, Yang M, Liu H, Tao Y, Mei J, Zhao Y. Genetic analysis and molecular characterization of Chinese sesame (Sesamum indicum L.) cultivars using insertion-deletion (InDel) and simple sequence repeat (SSR) markers. BMC Genet 2014; 15:35. [PMID: 24641723 PMCID: PMC4234512 DOI: 10.1186/1471-2156-15-35] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Accepted: 03/10/2014] [Indexed: 11/10/2022] Open
Abstract
Background Sesame is an important and ancient oil crop in tropical and subtropical areas. China is one of the most important sesame producing countries with many germplasm accessions and excellent cultivars. Domestication and modern plant breeding have presumably narrowed the genetic basis of cultivated sesame. Several modern sesame cultivars were bred with a limited number of landrace cultivars in their pedigree. The genetic variation was subsequently reduced by genetic drift and selection. Characterization of genetic diversity of these cultivars by molecular markers is of great value to assist parental line selection and breeding strategy design. Results Three hundred and forty nine simple sequence repeat (SSR) and 79 insertion-deletion (InDel) markers were developed from cDNA library and reduced-representation sequencing of a sesame cultivar Zhongzhi 14, respectively. Combined with previously published SSR markers, 88 polymorphic markers were used to assess the genetic diversity, phylogenetic relationships, population structure, and allele distribution among 130 Chinese sesame accessions including 82 cultivars, 44 landraces and 4 wild germplasm accessions. A total of 325 alleles were detected, with the average gene diversity of 0.432. Model-based structure analysis revealed the presence of five subgroups belonging to two main groups, which were consistent with the results from principal coordinate analysis (PCA), phylogenetic clustering and analysis of molecular variance (AMOVA). Several missing or unique alleles were identified from particular types, subgroups or families, even though they share one or both parental/progenitor lines. Conclusions This report presented a by far most comprehensive characterization of the molecular and genetic diversity of sesame cultivars in China. InDels are more polymorphic than SSRs, but their ability for deciphering genetic diversity compared to the later. Improved sesame cultivars have narrower genetic basis than landraces, reflecting the effect of genetic drift or selection during breeding processes. Comparative analysis of allele distribution revealed genetic divergence between improved cultivars and landraces, as well as between cultivars released in different years. These results will be useful for assessing cultivars and for marker-assisted breeding in sesame.
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Affiliation(s)
| | | | | | | | | | - Yingzhong Zhao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Sesame Genetic Improvement Laboratory, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (OCRI-CAAS), Wuhan, Hubei 430062, China.
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Zhang Y, Wang L, Xin H, Li D, Ma C, Ding X, Hong W, Zhang X. Construction of a high-density genetic map for sesame based on large scale marker development by specific length amplified fragment (SLAF) sequencing. BMC PLANT BIOLOGY 2013; 13:141. [PMID: 24060091 PMCID: PMC3852768 DOI: 10.1186/1471-2229-13-141] [Citation(s) in RCA: 137] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2013] [Accepted: 09/20/2013] [Indexed: 05/18/2023]
Abstract
BACKGROUND The genetics and molecular biology of sesame has only recently begun to be studied even though sesame is an important oil seed crop. A high-density genetic map for sesame has not been published yet due to a lack of sufficient molecular markers. Specific length amplified fragment sequencing (SLAF-seq) is a recently developed high-resolution strategy for large-scale de novo SNP discovery and genotyping. SLAF-seq was employed in this study to obtain sufficient markers to construct a high-density genetic map for sesame. RESULTS In total, 28.21 Gb of data containing 201,488,285 pair-end reads was obtained after sequencing. The average coverage for each SLAF marker was 23.48-fold in the male parent, 23.38-fold in the female parent, and 14.46-fold average in each F2 individual. In total, 71,793 high-quality SLAFs were detected of which 3,673 SLAFs were polymorphic and 1,272 of the polymorphic markers met the requirements for use in the construction of a genetic map. The final map included 1,233 markers on the 15 linkage groups (LGs) and was 1,474.87 cM in length with an average distance of 1.20 cM between adjacent markers. To our knowledge, this map is the densest genetic linkage map to date for sesame. 'SNP_only' markers accounted for 87.51% of the markers on the map. A total of 205 markers on the map showed significant (P < 0.05) segregation distortion. CONCLUSIONS We report here the first high-density genetic map for sesame. The map was constructed using an F2 population and the SLAF-seq approach, which allowed the efficient development of a large number of polymorphic markers in a short time. Results of this study will not only provide a platform for gene/QTL fine mapping, map-based gene isolation, and molecular breeding for sesame, but will also serve as a reference for positioning sequence scaffolds on a physical map, to assist in the process of assembling the sesame genome sequence.
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Affiliation(s)
- Yanxin Zhang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No.2 Xudong 2nd Rd, 430062 Wuhan, China
| | - Linhai Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No.2 Xudong 2nd Rd, 430062 Wuhan, China
| | - Huaigen Xin
- Biomarker Technologies Corporation, 101300 Beijing, China
| | - Donghua Li
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No.2 Xudong 2nd Rd, 430062 Wuhan, China
| | - Chouxian Ma
- Biomarker Technologies Corporation, 101300 Beijing, China
| | - Xia Ding
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No.2 Xudong 2nd Rd, 430062 Wuhan, China
| | - Weiguo Hong
- Biomarker Technologies Corporation, 101300 Beijing, China
| | - Xiurong Zhang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, No.2 Xudong 2nd Rd, 430062 Wuhan, China
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Establishing an efficient way to utilize the drought resistance germplasm population in wheat. ScientificWorldJournal 2013; 2013:489583. [PMID: 23737717 PMCID: PMC3662154 DOI: 10.1155/2013/489583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2013] [Accepted: 04/10/2013] [Indexed: 11/25/2022] Open
Abstract
Drought resistance breeding provides a hopeful way to improve yield and quality of wheat in arid and semiarid regions. Constructing core collection is an efficient way to evaluate and utilize drought-resistant germplasm resources in wheat. In the present research, 1,683 wheat varieties were divided into five germplasm groups (high resistant, HR; resistant, R; moderate resistant, MR; susceptible, S; and high susceptible, HS). The least distance stepwise sampling (LDSS) method was adopted to select core accessions. Six commonly used genetic distances (Euclidean distance, Euclid; Standardized Euclidean distance, Seuclid; Mahalanobis distance, Mahal; Manhattan distance, Manhat; Cosine distance, Cosine; and Correlation distance, Correlation) were used to assess genetic distances among accessions. Unweighted pair-group average (UPGMA) method was used to perform hierarchical cluster analysis. Coincidence rate of range (CR) and variable rate of coefficient of variation (VR) were adopted to evaluate the representativeness of the core collection. A method for selecting the ideal constructing strategy was suggested in the present research. A wheat core collection for the drought resistance breeding programs was constructed by the strategy selected in the present research. The principal component analysis showed that the genetic diversity was well preserved in that core collection.
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