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Huang J, Liu F, Ren R, Deng J, Zhu L, Li H, Cai F, Meng Z, Chen Q, Shi T. QTL Mapping and Candidate Gene Analysis for Starch-Related Traits in Tartary Buckwheat ( Fagopyrum tataricum (L.) Gaertn). Int J Mol Sci 2024; 25:9243. [PMID: 39273191 PMCID: PMC11395678 DOI: 10.3390/ijms25179243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 08/22/2024] [Accepted: 08/24/2024] [Indexed: 09/15/2024] Open
Abstract
Starch is the main component that determines the yield and quality of Tartary buckwheat. As a quantitative trait, using quantitative trait locus (QTL) mapping to excavate genes associated with starch-related traits is crucial for understanding the genetic mechanisms involved in starch synthesis and molecular breeding of Tartary buckwheat varieties with high-quality starch. Employing a recombinant inbred line population as research material, this study used QTL mapping to investigate the amylose, amylopectin, and total starch contents across four distinct environments. The results identified a total of 20 QTLs spanning six chromosomes, which explained 4.07% to 14.41% of the phenotypic variation. One major QTL cluster containing three stable QTLs governing both amylose and amylopectin content, qClu-4-1, was identified and located in the physical interval of 39.85-43.34 Mbp on chromosome Ft4. Within this cluster, we predicted 239 candidate genes and analyzed their SNP/InDel mutations, expression patterns, and enriched KEGG pathways. Ultimately, five key candidate genes, namely FtPinG0004897100.01, FtPinG0002636200.01, FtPinG0009329200.01, FtPinG0007371600.01, and FtPinG0005109900.01, were highlighted, which are potentially involved in starch synthesis and regulation, paving the way for further investigative studies. This study, for the first time, utilized QTL mapping to detect major QTLs controlling amylose, amylopectin, and total starch contents in Tartary buckwheat. The QTLs and candidate genes would provide valuable insights into the genetic mechanisms underlying starch synthesis and improving starch-related traits of Tartary buckwheat.
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Affiliation(s)
- Juan Huang
- Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Guiyang 550001, China
| | - Fei Liu
- Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Guiyang 550001, China
| | - Rongrong Ren
- Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Guiyang 550001, China
| | - Jiao Deng
- Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Guiyang 550001, China
| | - Liwei Zhu
- Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Guiyang 550001, China
| | - Hongyou Li
- Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Guiyang 550001, China
| | - Fang Cai
- Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Guiyang 550001, China
| | - Ziye Meng
- Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Guiyang 550001, China
| | - Qingfu Chen
- Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Guiyang 550001, China
| | - Taoxiong Shi
- Research Center of Buckwheat Industry Technology, College of Life Science, Guizhou Normal University, Guiyang 550001, China
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2
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Song Y, Long C, Wang Y, An Y, Lu Y. Advancements in multi-omics for nutraceutical enhancement and traits improvement in buckwheat. Crit Rev Biotechnol 2024:1-26. [PMID: 39160127 DOI: 10.1080/07388551.2024.2373282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 04/10/2024] [Accepted: 05/31/2024] [Indexed: 08/21/2024]
Abstract
Buckwheat (Fagopyrum spp.) is a typical pseudocereal, valued for its extensive nutraceutical potential as well as its centuries-old cultivation. Tartary buckwheat and common buckwheat have been used globally and become well-known nutritious foods due to their high quantities of: proteins, flavonoids, and minerals. Moreover, its increasing demand makes it critical to improve nutraceutical, traits and yield. In this review, bioactive compounds accumulated in buckwheat were comprehensively evaluated according to their chemical structure, properties, and physiological function. Biosynthetic pathways of flavonoids, phenolic acids, and fagopyrin were methodically summarized, with the regulation of flavonoid biosynthesis. Although there are classic synthesis pathways presented in the previous research, the metabolic flow of how these certain compounds are being synthesized in buckwheat still remains uncovered. The functional genes involved in the biosynthesis of flavonols, stress response, and plant development were identified based on multi-omics research. Furthermore, it delves into the applications of multi-omics in improving buckwheat's agronomic traits, including: yield, nutritional content, stress resilience, and bioactive compounds biosynthesis. While pangenomics combined with other omics to mine elite genes, the regulatory network and mechanism of specific agronomic traits and biosynthetic of bioactive components, and developing a more efficient genetic transformation system for genetic engineering require further investigation for the execution of breeding designs aimed at enhancing desirable traits in buckwheat. This critical review will provide a comprehensive understanding of multi-omics for nutraceutical enhancement and traits improvement in buckwheat.
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Affiliation(s)
- Yingjie Song
- Institute of Nanfan and Seed Industry, Guangdong Academy of Sciences, Guangzhou, P.R. China
| | - Chunlin Long
- College of Life and Environmental Sciences, Minzu University of China, Beijing, China
| | - Ying Wang
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement & Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
| | - Yuxing An
- Institute of Nanfan and Seed Industry, Guangdong Academy of Sciences, Guangzhou, P.R. China
| | - Yinglin Lu
- Institute of Nanfan and Seed Industry, Guangdong Academy of Sciences, Guangzhou, P.R. China
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3
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Zhang X, Yang M, Liu Z, Yang F, Zhang L, Guo Y, Huo D. Genetic analysis of yield components in buckwheat using high-throughput sequencing analysis and wild resource populations. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2024; 30:1313-1328. [PMID: 39184561 PMCID: PMC11341512 DOI: 10.1007/s12298-024-01491-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 06/06/2024] [Accepted: 07/15/2024] [Indexed: 08/27/2024]
Abstract
Fagopyrum tataricum, an important medicinal and edible crop, possesses significant agricultural and economic value. However, the development of buckwheat varieties and yields has been hindered by the delayed breeding progress despite the abundant material resources in China. Current research indicates that quantitative trait loci (QTLs) play a crucial role in controlling plant seed type and yield. To address these limitations, this study constructed recombinant inbred lines (RILs) utilizing both cultivated species and wild buckwheat as raw materials. In total, 84,521 Single Nucleotide Polymorphism (SNP) markers were identified through Genotyping-by-Sequencing (GBS) technology, and high-resolution and high-density SNP genetic maps were developed, which had significant value for QTL mapping, gene cloning and comparative mapping of buckwheat. In this study, we successfully identified 5 QTLs related to thousand grain weight (TGW), 9 for grain length (GL), and 1 for grain width (GW) by combining seed type and TGW data from 202 RIL populations in four different environments, within which one co-located QTL for TGW were discovered on the first chromosome. Transcriptome analysis during different grain development stages revealed 59 significant expression differences between the two materials, which can serve as candidate genes for further investigation into the regulation of grain weight and yield enhancement. The mapped major loci controlling TGW, GL and GW will be valuable for gene cloning and reveal the mechanism underlying grain development and marker-assisted selection in Tartary buckwheat.
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Affiliation(s)
- Xiao Zhang
- College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China
| | - Miao Yang
- College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China
| | - Zhang Liu
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, 030031 China
| | - Fan Yang
- College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China
| | - Lei Zhang
- College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China
| | - Yajing Guo
- College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China
| | - Dongao Huo
- College of Biological Sciences and Technology, Taiyuan Normal University, Jinzhong, 030619 China
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Matías J, Rodríguez MJ, Carrillo-Vico A, Casals J, Fondevilla S, Haros CM, Pedroche J, Aparicio N, Fernández-García N, Aguiló-Aguayo I, Soler-Rivas C, Caballero PA, Morte A, Rico D, Reguera M. From 'Farm to Fork': Exploring the Potential of Nutrient-Rich and Stress-Resilient Emergent Crops for Sustainable and Healthy Food in the Mediterranean Region in the Face of Climate Change Challenges. PLANTS (BASEL, SWITZERLAND) 2024; 13:1914. [PMID: 39065441 PMCID: PMC11281201 DOI: 10.3390/plants13141914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 04/08/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024]
Abstract
In the dynamic landscape of agriculture and food science, incorporating emergent crops appears as a pioneering solution for diversifying agriculture, unlocking possibilities for sustainable cultivation and nutritional bolstering food security, and creating economic prospects amid evolving environmental and market conditions with positive impacts on human health. This review explores the potential of utilizing emergent crops in Mediterranean environments under current climate scenarios, emphasizing the manifold benefits of agricultural and food system diversification and assessing the impact of environmental factors on their quality and consumer health. Through a deep exploration of the resilience, nutritional value, and health impacts of neglected and underutilized species (NUS) such as quinoa, amaranth, chia, moringa, buckwheat, millet, teff, hemp, or desert truffles, their capacity to thrive in the changing Mediterranean climate is highlighted, offering novel opportunities for agriculture and functional food development. By analysing how promoting agricultural diversification can enhance food system adaptability to evolving environmental conditions, fostering sustainability and resilience, we discuss recent findings that underscore the main benefits and limitations of these crops from agricultural, food science, and health perspectives, all crucial for responsible and sustainable adoption. Thus, by using a sustainable and holistic approach, this revision analyses how the integration of NUS crops into Mediterranean agrifood systems can enhance agriculture resilience and food quality addressing environmental, nutritional, biomedical, economic, and cultural dimensions, thereby mitigating the risks associated with monoculture practices and bolstering local economies and livelihoods under new climate scenarios.
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Affiliation(s)
- Javier Matías
- Agrarian Research Institute “La Orden-Valdesequera” of Extremadura (CICYTEX), 06187 Guadajira (Badajoz), Spain;
| | - María José Rodríguez
- Technological Institute of Food and Agriculture of Extremadura (INTAEX-CICYTEX), Avda. Adolfo Suárez s/n, 06007 Badajoz, Spain;
| | - Antonio Carrillo-Vico
- Instituto de Biomedicina de Sevilla, IBiS/Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41013 Seville, Spain;
- Departamento de Bioquímica Médica y Biología Molecular e Inmunología, Facultad de Medicina, Universidad de Sevilla, 41009 Seville, Spain
| | - Joan Casals
- Fundació Miquel Agustí/HorPTA, Department of Agri-Food Engineering and Biotechnology, Universitat Politècnica de Catalunya (UPC)-BarcelonaTech, 08860 Castelldefels, Spain;
| | - Sara Fondevilla
- Institute for Sustainable Agriculture, Consejo Superior de Investigaciones Científicas, Avda. Menéndez Pidal s/n, 14004 Córdoba, Spain;
| | - Claudia Mónika Haros
- Cereal Group, Institute of Agrochemistry and Food Technology (IATA-CSIC), Av. Agustín Escardino 7, Parque Científico, 46980 Valencia, Spain;
| | - Justo Pedroche
- Group of Plant Proteins, Instituto de la Grasa, CSIC. Ctra. de Utrera Km. 1, 41013 Seville, Spain;
| | - Nieves Aparicio
- Agro-Technological Institute of Castilla y León (ITACyL), Ctra. Burgos Km. 119, 47071 Valladolid, Spain;
| | - Nieves Fernández-García
- Department of Abiotic Stress and Plant Pathology, Centro de Edafología y Biología Aplicada del Segura (CSIC), Campus Universitario de Espinardo, 30100 Murcia, Spain;
| | - Ingrid Aguiló-Aguayo
- Postharvest Programme, Institute of Agrifood Research and Technology (IRTA), Parc Agrobiotech Lleida, Parc de Gardeny, Edifici Fruitcentre, 25003 Lleida, Spain;
| | - Cristina Soler-Rivas
- Departamento de Producción y Caracterización de Nuevos Alimentos, Institute of Food Science Research-CIAL (UAM+CSIC), Campus de Cantoblanco, Universidad Autónoma de Madrid, C/Nicolas Cabrera 9, 28049 Madrid, Spain;
- Sección Departamental de Ciencias de la Alimentación, Facultad de Ciencias, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049 Madrid, Spain
| | - Pedro A. Caballero
- Food Technology, Department of Agriculture and Forestry Engineering, Universidad de Valladolid, 34004 Palencia, Spain;
| | - Asunción Morte
- Departamento Biología Vegetal, Facultad de Biología, Campus Universitario de Espinardo, Universidad de Murcia, 30100 Murcia, Spain;
| | - Daniel Rico
- Department of Medicine, Dermatology and Toxicology, Universidad de Valladolid, Av. Ramón y Cajal, 7, 47005 Valladolid, Spain;
| | - María Reguera
- Departamento de Biología, Campus de Cantoblanco, Universidad Autónoma de Madrid, C/Darwin 2, 28049 Madrid, Spain
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5
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He Y, Zhang K, Shi Y, Lin H, Huang X, Lu X, Wang Z, Li W, Feng X, Shi T, Chen Q, Wang J, Tang Y, Chapman MA, Germ M, Luthar Z, Kreft I, Janovská D, Meglič V, Woo SH, Quinet M, Fernie AR, Liu X, Zhou M. Genomic insight into the origin, domestication, dispersal, diversification and human selection of Tartary buckwheat. Genome Biol 2024; 25:61. [PMID: 38414075 PMCID: PMC10898187 DOI: 10.1186/s13059-024-03203-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 02/21/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Tartary buckwheat, Fagopyrum tataricum, is a pseudocereal crop with worldwide distribution and high nutritional value. However, the origin and domestication history of this crop remain to be elucidated. RESULTS Here, by analyzing the population genomics of 567 accessions collected worldwide and reviewing historical documents, we find that Tartary buckwheat originated in the Himalayan region and then spread southwest possibly along with the migration of the Yi people, a minority in Southwestern China that has a long history of planting Tartary buckwheat. Along with the expansion of the Mongol Empire, Tartary buckwheat dispersed to Europe and ultimately to the rest of the world. The different natural growth environments resulted in adaptation, especially significant differences in salt tolerance between northern and southern Chinese Tartary buckwheat populations. By scanning for selective sweeps and using a genome-wide association study, we identify genes responsible for Tartary buckwheat domestication and differentiation, which we then experimentally validate. Comparative genomics and QTL analysis further shed light on the genetic foundation of the easily dehulled trait in a particular variety that was artificially selected by the Wa people, a minority group in Southwestern China known for cultivating Tartary buckwheat specifically for steaming as a staple food to prevent lysine deficiency. CONCLUSIONS This study provides both comprehensive insights into the origin and domestication of, and a foundation for molecular breeding for, Tartary buckwheat.
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Affiliation(s)
- Yuqi He
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Kaixuan Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yaliang Shi
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hao Lin
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xu Huang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiang Lu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhirong Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wei Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xibo Feng
- Tibet Key Experiments of Crop Cultivation and Farming/College of Plant Science, Tibet Agriculture and Animal Husbandry University, Linzhi, 860000, China
| | - Taoxiong Shi
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, China
| | - Qingfu Chen
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, China
| | - Junzhen Wang
- Xichang Institute of Agricultural Science, Liangshan Yi People Autonomous Prefecture, Liangshan, Sichuan, 615000, China
| | - Yu Tang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Mark A Chapman
- Biological Sciences, University of Southampton, Life Sciences Building 85, Highfield Campus, Southampton, SO17 1BJ, UK
| | - Mateja Germ
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000, Ljubljana, Slovenia
| | - Zlata Luthar
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000, Ljubljana, Slovenia
| | - Ivan Kreft
- Nutrition Institute, Koprska Ulica 98, SI-1000, Ljubljana, Slovenia
| | - Dagmar Janovská
- Gene Bank, Crop Research Institute, Drnovská 507, Prague 6, Czech Republic
| | - Vladimir Meglič
- Agricultural Institute of Slovenia, Hacquetova ulica 17, SI-1000, Ljubljana, Slovenia
| | - Sun-Hee Woo
- Department of Crop Science, Chungbuk National University, Cheong-ju, Republic of Korea
| | - Muriel Quinet
- Groupe de Recherche en Physiologie Végétale (GRPV), Earth and Life Institute-Agronomy (ELI-A), Université catholique de Louvain, Croix du Sud 45, boîte L7.07.13, B-1348, Louvain-la-Neuve, Belgium
| | - Alisdair R Fernie
- Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, 14476, Potsdam, Germany
| | - Xu Liu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Meiliang Zhou
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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Pipan B, Sinkovič L, Neji M, Janovská D, Zhou M, Meglič V. Agro-Morphological and Molecular Characterization Reveal Deep Insights in Promising Genetic Diversity and Marker-Trait Associations in Fagopyrum esculentum and Fagopyrum tataricum. PLANTS (BASEL, SWITZERLAND) 2023; 12:3321. [PMID: 37765484 PMCID: PMC10534386 DOI: 10.3390/plants12183321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 09/08/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023]
Abstract
Characterisation of genetic diversity is critical to adequately exploit the potential of germplasm collections and identify important traits for breeding programs and sustainable crop improvement. Here, we characterised the phenotypic and genetic diversity of a global collection of the two cultivated buckwheat species Fagopyrum esculentum and Fagopyrum tataricum (190 and 51 accessions, respectively) using 37 agro-morphological traits and 24 SSR markers. A wide range of variation was observed in both species for most of the traits analysed. The two species differed significantly in most traits, with traits related to seeds and flowering contributing most to differentiation. The accessions of each species were divided into three major phenoclusters with no clear geographic clustering. At the molecular level, the polymorphic SSR markers were highly informative, with an average polymorphic information content (PIC) of over 0.65 in both species. Genetic diversity, as determined by Nei's expected heterozygosity (He), was high (He = 0.77 and He = 0.66, respectively) and differed significantly between species (p = 0.03) but was homogeneously distributed between regions, confirming the lack of genetic structure as determined by clustering approaches. The weak genetic structure revealed by the phenotypic and SSR data and the low fixation indices in both species suggested frequent seed exchange and extensive cultivation and selection. In addition, 93 and 140 significant (p < 0.05) marker-trait associations (MTAs) were identified in both species using a general linear model and a mixed linear model, most of which explained >20% of the phenotypic variation in associated traits. Core collections of 23 and 13 phenotypically and genetically diverse accessions, respectively, were developed for F. esculentum and F. tataricum. Overall, the data analysed provided deep insights into the agro-morphological and genetic diversity and genetic relationships among F. esculentum and F. tataricum accessions and pointed to future directions for genomics-based breeding programs and germplasm management.
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Affiliation(s)
- Barbara Pipan
- Crop Science Department, Agricultural Institute of Slovenia, Hacquetocva ulica 17, SI-1000 Ljubljana, Slovenia; (L.S.); (M.N.); (V.M.)
| | - Lovro Sinkovič
- Crop Science Department, Agricultural Institute of Slovenia, Hacquetocva ulica 17, SI-1000 Ljubljana, Slovenia; (L.S.); (M.N.); (V.M.)
| | - Mohamed Neji
- Crop Science Department, Agricultural Institute of Slovenia, Hacquetocva ulica 17, SI-1000 Ljubljana, Slovenia; (L.S.); (M.N.); (V.M.)
| | - Dagmar Janovská
- Gene Bank, Crop Research Institute, Drnovská 507, 161 06 Prague, Czech Republic;
| | - Meiliang Zhou
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Room 420, National Crop Genebank Building, Zhongguancun South Street No. 12, Haidian District, Beijing 100081, China;
| | - Vladimir Meglič
- Crop Science Department, Agricultural Institute of Slovenia, Hacquetocva ulica 17, SI-1000 Ljubljana, Slovenia; (L.S.); (M.N.); (V.M.)
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Li R, Chen Z, Zheng R, Chen Q, Deng J, Li H, Huang J, Liang C, Shi T. QTL mapping and candidate gene analysis for yield and grain weight/size in Tartary buckwheat. BMC PLANT BIOLOGY 2023; 23:58. [PMID: 36703107 PMCID: PMC9878770 DOI: 10.1186/s12870-022-04004-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/14/2022] [Indexed: 06/18/2023]
Abstract
BACKGROUND Grain weight/size influences not only grain yield (GY) but also nutritional and appearance quality and consumer preference in Tartary buckwheat. The identification of quantitative trait loci (QTLs)/genes for grain weight/size is an important objective of Tartary buckwheat genetic research and breeding programs. RESULTS Herein, we mapped the QTLs for GY, 1000-grain weight (TGW), grain length (GL), grain width (GW) and grain length-width ratio (L/W) in four environments using 221 recombinant inbred lines (XJ-RILs) derived from a cross of 'Xiaomiqiao × Jinqiaomai 2'. In total, 32 QTLs, including 7 for GY, 5 for TGW, 6 for GL, 11 for GW and 3 for L/W, were detected and distributed in 24 genomic regions. Two QTL clusters, qClu-1-3 and qClu-1-5, located on chromosome Ft1, were revealed to harbour 7 stable major QTLs for GY (qGY1.2), TGW (qTGW1.2), GL (qGL1.1 and qGL1.4), GW (qGW1.7 and qGW1.10) and L/W (qL/W1.2) repeatedly detected in three and above environments. A total of 59 homologues of 27 known plant grain weight/size genes were found within the physical intervals of qClu-1-3 and qClu-1-5. Six homologues, FtBRI1, FtAGB1, FtTGW6, FtMADS1, FtMKK4 and FtANT, were identified with both non-synonymous SNP/InDel variations and significantly differential expression levels between the two parents, which may play important roles in Tatary buckwheat grain weight/size control and were chosen as core candidate genes for further investigation. CONCLUSIONS Two stable major QTL clusters related to grain weight/size and six potential key candidate genes were identified by homology comparison, SNP/InDel variations and qRT‒qPCR analysis between the two parents. Our research provides valuable information for improving grain weight/size and yield in Tartary buckwheat breeding.
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Affiliation(s)
- Ruiyuan Li
- Key Laboratory of Information and Computing Science of Guizhou Province, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Zhengfeng Chen
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Ran Zheng
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Qingfu Chen
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Jiao Deng
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Hongyou Li
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Juan Huang
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Chenggang Liang
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China
| | - Taoxiong Shi
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, Guizhou, China.
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Hou S, Ren X, Yang Y, Wang D, Du W, Wang X, Li H, Han Y, Liu L, Sun Z. Genome-Wide Development of Polymorphic Microsatellite Markers and Association Analysis of Major Agronomic Traits in Core Germplasm Resources of Tartary Buckwheat. FRONTIERS IN PLANT SCIENCE 2022; 13:819008. [PMID: 35371124 PMCID: PMC8965444 DOI: 10.3389/fpls.2022.819008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 01/31/2022] [Indexed: 05/27/2023]
Abstract
Tartary buckwheat (TB; Fagopyrum tataricum Gaertn.) is an important multigrain crop and medicinal plant, but functional genomics and molecular breeding research in this species have been lacking for quite some time. Here, genome-wide screening was performed to develop simple sequence repeat (SSR) markers associated with six major agronomic traits and the rutin contents of 97 core germplasm resources. A total of 40,901 SSR loci were identified; they were uniformly distributed throughout the TB genome, with a mean distance of 11 kb between loci. Based on these loci, 8,089 pairs of SSR primers were designed, and 101 primer pairs for polymorphic SSR loci were used to genotype the 97 core germplasm resources. The polymorphic SSR loci showed high genetic variation in these core germplasm resources, with an average polymorphic information content (PIC) value of 0.48. In addition, multiple SSR markers, such as SXAU8002 [100-grain weight (HGW)] and SXAU8006 [stem diameter (SD)], were found to be associated with agronomic traits in the two environments. Finally, based on gene functional annotation and homology analysis, a candidate gene, FtPinG0007685500, that may affect the node number and SD of the main stem by participating in lignin synthesis was identified. This study reports the mining of genome-wide SSR loci and the development of markers in TB, which can be used for molecular characterization of the germplasm in its gene pool. In addition, the detected markers and candidate genes could be used for marker-assisted breeding and functional gene cloning in TB.
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Affiliation(s)
- Siyu Hou
- College of Agriculture, Institute of Agricultural Bioengineering, Shanxi Agricultural University, Taigu, China
- Shanxi Key Laboratory of Minor Crop Germplasm Innovation and Molecular Breeding, Taiyuan, China
| | - Xuemei Ren
- College of Agriculture, Institute of Agricultural Bioengineering, Shanxi Agricultural University, Taigu, China
- Shanxi Key Laboratory of Minor Crop Germplasm Innovation and Molecular Breeding, Taiyuan, China
| | - Yang Yang
- College of Agriculture, Institute of Agricultural Bioengineering, Shanxi Agricultural University, Taigu, China
- Shanxi Key Laboratory of Minor Crop Germplasm Innovation and Molecular Breeding, Taiyuan, China
| | - Donghang Wang
- College of Agriculture, Institute of Agricultural Bioengineering, Shanxi Agricultural University, Taigu, China
| | - Wei Du
- College of Agriculture, Institute of Agricultural Bioengineering, Shanxi Agricultural University, Taigu, China
| | - Xinfang Wang
- College of Agriculture, Institute of Agricultural Bioengineering, Shanxi Agricultural University, Taigu, China
| | - Hongying Li
- College of Agriculture, Institute of Agricultural Bioengineering, Shanxi Agricultural University, Taigu, China
- Shanxi Key Laboratory of Minor Crop Germplasm Innovation and Molecular Breeding, Taiyuan, China
| | - Yuanhuai Han
- College of Agriculture, Institute of Agricultural Bioengineering, Shanxi Agricultural University, Taigu, China
- Shanxi Key Laboratory of Minor Crop Germplasm Innovation and Molecular Breeding, Taiyuan, China
| | - Longlong Liu
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Zhaoxia Sun
- College of Agriculture, Institute of Agricultural Bioengineering, Shanxi Agricultural University, Taigu, China
- Shanxi Key Laboratory of Minor Crop Germplasm Innovation and Molecular Breeding, Taiyuan, China
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Peng Z, Zhao C, Li S, Guo Y, Xu H, Hu G, Liu Z, Chen X, Chen J, Lin S, Su W, Yang X. Integration of genomics, transcriptomics and metabolomics identifies candidate loci underlying fruit weight in loquat. HORTICULTURE RESEARCH 2022; 9:uhac037. [PMID: 35137085 PMCID: PMC9071381 DOI: 10.1093/hr/uhac037] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/12/2022] [Accepted: 01/30/2022] [Indexed: 05/05/2023]
Abstract
Fruit weight is an integral part of fruit-quality traits and directly influences commodity values and economic returns of fruit crops. Despite its importance, the molecular mechanisms underlying fruit weight remain understudied, especially for perennial fruit tree crops such as cultivated loquat (Eriobotrya japonica Lindl.). Auxin is known to regulate fruit development, whereas its role and metabolism in fruit development remain obscure in loquat. In this study, we applied a multi-omics approach, integrating whole-genome resequencing-based quantitative trait locus (QTL) mapping with an F1 population, population genomics analysis using germplasm accessions, transcriptome analysis, and metabolic profiling to identify the genomic regions potentially associated with fruit weight in loquat. We identified three major loci associated with fruit weight, supported by both QTL mapping and comparative genomic analysis between small- and big-fruited loquat cultivars. Comparison between two genotypes with contrasting fruit weight performance through transcriptomic and metabolic profiling revealed an important role of auxin in regulating fruit development, especially at the fruit enlarging stage. The multi-omics approach identified two homologs of ETHYLENE INSENSITIVE 4 (EjEIN4) and TORNADO 1 (EjTRN1) as promising candidates controlling fruit weight. Moreover, three single nucleotide polymorphism (SNP) markers were closely associated with fruit weight. Results from this study provided insights from multiple perspectives into the genetic and metabolic controls of fruit weight in loquat. The candidate genomic regions, genes, and sequence variants will facilitate understanding the molecular basis of fruit weight and lay a foundation for future breeding and manipulation of fruit weight in loquat.
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Affiliation(s)
- Ze Peng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources and Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China (Ministry of Agriculture and Rural Affairs), College of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Chongbin Zhao
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources and Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China (Ministry of Agriculture and Rural Affairs), College of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Shuqing Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources and Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China (Ministry of Agriculture and Rural Affairs), College of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Yihan Guo
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources and Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China (Ministry of Agriculture and Rural Affairs), College of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Hongxia Xu
- Institute of Horticulture, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China
| | - Guibing Hu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources and Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China (Ministry of Agriculture and Rural Affairs), College of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Zongli Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources and Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China (Ministry of Agriculture and Rural Affairs), College of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Xiuping Chen
- Fruit Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian 350013, China
| | - Junwei Chen
- Institute of Horticulture, Zhejiang Academy of Agricultural Sciences, Hangzhou, Zhejiang 310021, China
| | - Shunquan Lin
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources and Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China (Ministry of Agriculture and Rural Affairs), College of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510642, China
| | - Wenbing Su
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources and Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China (Ministry of Agriculture and Rural Affairs), College of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510642, China
- Fruit Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, Fujian 350013, China
| | - Xianghui Yang
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources and Key Laboratory of Innovation and Utilization of Horticultural Crop Resources in South China (Ministry of Agriculture and Rural Affairs), College of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510642, China
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