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Sreekanta S, Haaning A, Dobbels A, O'Neill R, Hofstad A, Virdi K, Katagiri F, Stupar RM, Muehlbauer GJ, Lorenz AJ. Variation in shoot architecture traits and their relationship to canopy coverage and light interception in soybean (Glycine max). BMC PLANT BIOLOGY 2024; 24:194. [PMID: 38493116 PMCID: PMC10944616 DOI: 10.1186/s12870-024-04859-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 02/23/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND In soybeans, faster canopy coverage (CC) is a highly desirable trait but a fully covered canopy is unfavorable to light interception at lower levels in the canopy with most of the incident radiation intercepted at the top of the canopy. Shoot architecture that influences CC is well studied in crops such as maize and wheat, and altering architectural traits has resulted in enhanced yield. However, in soybeans the study of shoot architecture has not been as extensive. RESULTS This study revealed significant differences in CC among the selected soybean accessions. The rate of CC was found to decrease at the beginning of the reproductive stage (R1) followed by an increase during the R2-R3 stages. Most of the accessions in the study achieved maximum rate of CC between R2-R3 stages. We measured Light interception (LI), defined here as the ratio of Photosynthetically Active Radiation (PAR) transmitted through the canopy to the incoming PAR or the radiation above the canopy. LI was found to be significantly correlated with CC parameters, highlighting the relationship between canopy structure and light interception. The study also explored the impact of plant shape on LI and CO2 assimilation. Plant shape was characterized into distinct quantifiable parameters and by modeling the impact of plant shape on LI and CO2 assimilation, we found that plants with broad and flat shapes at the top maybe more photosynthetically efficient at low light levels, while conical shapes were likely more advantageous when light was abundant. Shoot architecture of plants in this study was described in terms of whole plant, branching and leaf-related traits. There was significant variation for the shoot architecture traits between different accessions, displaying high reliability. We found that that several shoot architecture traits such as plant height, and leaf and internode-related traits strongly influenced CC and LI. CONCLUSION In conclusion, this study provides insight into the relationship between soybean shoot architecture, canopy coverage, and light interception. It demonstrates that novel shoot architecture traits we have defined here are genetically variable, impact CC and LI and contribute to our understanding of soybean morphology. Correlations between different architecture traits, CC and LI suggest that it is possible to optimize soybean growth without compromising on light transmission within the soybean canopy. In addition, the study underscores the utility of integrating low-cost 2D phenotyping as a practical and cost-effective alternative to more time-intensive 3D or high-tech low-throughput methods. This approach offers a feasible means of studying basic shoot architecture traits at the field level, facilitating a broader and efficient assessment of plant morphology.
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Affiliation(s)
- Suma Sreekanta
- Department of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA
| | - Allison Haaning
- Department of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA
| | - Austin Dobbels
- Department of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA
| | - Riley O'Neill
- School of Mathematics, University of Minnesota, 55455, Minneapolis, MN, USA
| | - Anna Hofstad
- Department of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA
| | - Kamaldeep Virdi
- Department of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA
| | - Fumiaki Katagiri
- Department of Plant and Microbial Biology and Microbial and Plant Genomics Institute, University of Minnesota, 55108, St Paul, MN, USA
| | - Robert M Stupar
- Department of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA
| | - Gary J Muehlbauer
- Department of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA.
| | - Aaron J Lorenz
- Department of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA.
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Lei S, Chen L, Liang F, Zhang Y, Zhang C, Xiao H, Tang R, Yang B, Wang L, Jiang H. Identification of a major QTL and candidate genes analysis for branch angle in rapeseed ( Brassica napus L.) using QTL-seq and RNA-seq. FRONTIERS IN PLANT SCIENCE 2024; 15:1340892. [PMID: 38450405 PMCID: PMC10914954 DOI: 10.3389/fpls.2024.1340892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 02/08/2024] [Indexed: 03/08/2024]
Abstract
Introduction Branching angle is an essential trait in determining the planting density of rapeseed (Brassica napus L.) and hence the yield per unit area. However, the mechanism of branching angle formation in rapeseed is not well understood. Methods In this study, two rapeseed germplasm with extreme branching angles were used to construct an F2 segregating population; then bulked segregant analysis sequencing (BSA-seq) and quantitative trait loci (QTL) mapping were utilized to localize branching anglerelated loci and combined with transcriptome sequencing (RNA-seq) and quantitative real-time PCR (qPCR) for candidate gene mining. Results and discussion A branching angle-associated quantitative trait loci (QTL) was mapped on chromosome C3 (C3: 1.54-2.65 Mb) by combining BSA-seq as well as traditional QTL mapping. A total of 54 genes had SNP/Indel variants within the QTL interval were identified. Further, RNA-seq of the two parents revealed that 12 of the 54 genes were differentially expressed between the two parents. Finally, we further validated the differentially expressed genes using qPCR and found that six of them presented consistent differential expression in all small branching angle samples and large branching angles, and thus were considered as candidate genes related to branching angles in rapeseed. Our results introduce new candidate genes for the regulation of branching angle formation in rapeseed, and provide an important reference for the subsequent exploration of its formation mechanism.
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Affiliation(s)
- Shaolin Lei
- Guizhou Oil Crops Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Li Chen
- Guizhou Rapeseed Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Fenghao Liang
- Guizhou Oil Crops Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Yuling Zhang
- Guizhou Oil Crops Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Chao Zhang
- Guizhou Oil Crops Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Huagui Xiao
- Guizhou Oil Crops Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Rong Tang
- Guizhou Oil Crops Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Bin Yang
- Guizhou Oil Crops Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Lulu Wang
- Guizhou Oil Crops Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
| | - Huanhuan Jiang
- Guizhou Oil Crops Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, Guizhou, China
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3
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Niu M, Tian K, Chen Q, Yang C, Zhang M, Sun S, Wang X. A multi-trait GWAS-based genetic association network controlling soybean architecture and seed traits. FRONTIERS IN PLANT SCIENCE 2024; 14:1302359. [PMID: 38259929 PMCID: PMC10801003 DOI: 10.3389/fpls.2023.1302359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024]
Abstract
Ideal plant architecture is essential for enhancing crop yields. Ideal soybean (Glycine max) architecture encompasses an appropriate plant height, increased node number, moderate seed weight, and compact architecture with smaller branch angles for growth under high-density planting. However, the functional genes regulating plant architecture are far not fully understood in soybean. In this study, we investigated the genetic basis of 12 agronomic traits in a panel of 496 soybean accessions with a wide geographical distribution in China. Analysis of phenotypic changes in 148 historical elite soybean varieties indicated that seed-related traits have mainly been improved over the past 60 years, with targeting plant architecture traits having the potential to further improve yields in future soybean breeding programs. In a genome-wide association study (GWAS) of 12 traits, we detected 169 significantly associated loci, of which 61 overlapped with previously reported loci and 108 new loci. By integrating the GWAS loci for different traits, we constructed a genetic association network and identified 90 loci that were associated with a single trait and 79 loci with pleiotropic effects. Of these 79 loci, 7 hub-nodes were strongly linked to at least three related agronomic traits. qHub_5, containing the previously characterized Determinate 1 (Dt1) locus, was associated not only with plant height and node number (as determined previously), but also with internode length and pod range. Furthermore, we identified qHub_7, which controls three branch angle-related traits; the candidate genes in this locus may be beneficial for breeding soybean with compact architecture. These findings provide insights into the genetic relationships among 12 important agronomic traits in soybean. In addition, these studies uncover valuable loci for further functional gene studies and will facilitate molecular design breeding of soybean architecture.
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Affiliation(s)
- Mengrou Niu
- Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China
- Sanya Institute of Henan University, Henan University, Sanya, Hainan, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Science, Henan University, Zhengzhou, China
- The Academy for Advanced Interdisciplinary Studies, Henan University, Zhengzhou, China
| | - Kewei Tian
- Center of Integrative Biology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China
- Sanya Institute of Henan University, Henan University, Sanya, Hainan, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Science, Henan University, Zhengzhou, China
- The Academy for Advanced Interdisciplinary Studies, Henan University, Zhengzhou, China
| | - Qiang Chen
- Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences/Hebei Laboratory of Crop Genetics and Breeding, Shijiazhuang, Hebei, China
| | - Chunyan Yang
- Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences/Hebei Laboratory of Crop Genetics and Breeding, Shijiazhuang, Hebei, China
| | - Mengchen Zhang
- Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences/Hebei Laboratory of Crop Genetics and Breeding, Shijiazhuang, Hebei, China
| | - Shiyong Sun
- Sanya Institute of Henan University, Henan University, Sanya, Hainan, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Science, Henan University, Zhengzhou, China
- The Academy for Advanced Interdisciplinary Studies, Henan University, Zhengzhou, China
| | - Xuelu Wang
- Sanya Institute of Henan University, Henan University, Sanya, Hainan, China
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Science, Henan University, Zhengzhou, China
- The Academy for Advanced Interdisciplinary Studies, Henan University, Zhengzhou, China
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Gao Y, Zhu J, Zhai H, Xu K, Zhu X, Wu H, Zhang W, Wu S, Chen X, Xia Z. Dysfunction of an Anaphase-Promoting Complex Subunit 8 Homolog Leads to Super-Short Petioles and Enlarged Petiole Angles in Soybean. Int J Mol Sci 2023; 24:11024. [PMID: 37446203 DOI: 10.3390/ijms241311024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/22/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
Plant height, petiole length, and the angle of the leaf petiole and branch angles are crucial traits determining plant architecture and yield in soybean (Glycine max L.). Here, we characterized a soybean mutant with super-short petioles (SSP) and enlarged petiole angles (named Gmssp) through phenotypic observation, anatomical structure analysis, and bulk sequencing analysis. To identify the gene responsible for the Gmssp mutant phenotype, we established a pipeline involving bulk sequencing, variant calling, functional annotation by SnpEFF (v4.0e) software, and Integrative Genomics Viewer analysis, and we initially identified Glyma.11G026400, encoding a homolog of Anaphase-promoting complex subunit 8 (APC8). Another mutant, t7, with a large deletion of many genes including Glyma.11G026400, has super-short petioles and an enlarged petiole angle, similar to the Gmssp phenotype. Characterization of the t7 mutant together with quantitative trait locus mapping and allelic variation analysis confirmed Glyma.11G026400 as the gene involved in the Gmssp phenotype. In Gmssp, a 4 bp deletion in Glyma.11G026400 leads to a 380 aa truncated protein due to a premature stop codon. The dysfunction or absence of Glyma.11G026400 caused severe defects in morphology, anatomical structure, and physiological traits. Transcriptome analysis and weighted gene co-expression network analysis revealed multiple pathways likely involved in these phenotypes, including ubiquitin-mediated proteolysis and gibberellin-mediated pathways. Our results demonstrate that dysfunction of Glyma.11G026400 leads to diverse functional consequences in different tissues, indicating that this APC8 homolog plays key roles in cell differentiation and elongation in a tissue-specific manner. Deciphering the molecular control of petiole length and angle enriches our knowledge of the molecular network regulating plant architecture in soybean and should facilitate the breeding of high-yielding soybean cultivars with compact plant architecture.
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Affiliation(s)
- Yi Gao
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Harbin 150081, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinlong Zhu
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Harbin 150081, China
| | - Hong Zhai
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Harbin 150081, China
| | - Kun Xu
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Harbin 150081, China
| | - Xiaobin Zhu
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Harbin 150081, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongyan Wu
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Harbin 150081, China
| | - Wenjing Zhang
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Harbin 150081, China
| | - Shihao Wu
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Xin Chen
- Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
| | - Zhengjun Xia
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Harbin 150081, China
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Clark CB, Ma J. The genetic basis of shoot architecture in soybean. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:55. [PMID: 37351274 PMCID: PMC10281916 DOI: 10.1007/s11032-023-01391-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 04/26/2023] [Indexed: 06/24/2023]
Abstract
Shoot architecture refers to the three-dimensional body plan of the above ground organs of the plant. The patterning of this body plan results from the tight genetic control of the size and maintenance of meristems, the initiation of axillary growth, and the timing of developmental phase transition. Variation in shoot architecture can result in dramatic differences in plant productivity and/or grain yield due to their effects on light interception, photosynthetic efficiency, response to agronomic inputs, and environmental adaptation. The fine-tuning of shoot architecture has consequently been of great interest to plant breeders, driving the need for deeper understanding of the genes and molecular mechanisms governing these traits. In soybean, the world's most important oil and protein crop, major components of shoot architecture include stem growth habit, plant height, branch angle, branch number, leaf petiole angle, and the size and shape of leaves. Key genes underlying some of these traits have been identified to integrate hormonal, developmental, and environmental signals modulating the growth and orientation of shoot organs. Here we summarize the current knowledge and recent advances in the understanding of the genetic control of these important architectural traits in soybean.
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Affiliation(s)
- Chancelor B. Clark
- Department of Agronomy, Purdue University, 915 W Mitch Daniels Blvd, West Lafayette, 47907 IN USA
| | - Jianxin Ma
- Department of Agronomy, Purdue University, 915 W Mitch Daniels Blvd, West Lafayette, 47907 IN USA
- Center for Plant Biology, Purdue University, West Lafayette, IN USA
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Yuan B, Qi G, Yuan C, Wang Y, Zhao H, Li Y, Wang Y, Dong L, Dong Y, Liu X. Major genetic locus with pleiotropism determined seed-related traits in cultivated and wild soybeans. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:125. [PMID: 37165285 DOI: 10.1007/s00122-023-04358-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 04/04/2023] [Indexed: 05/12/2023]
Abstract
KEY MESSAGE Here, a novel pleiotropic QTL qSS14 simultaneously regulating four seed size traits and two consistently detected QTLs qSW17 and qSLW02 were identified across multiple years. Seed-related traits were the key agronomic traits that have been artificially selected during the domestication of wild soybean. Identifying the genetic loci and genes that regulate seed size could clarify the genetic variations in seed-related traits and provide novel insights into high-yield soybean breeding. In this study, we used a high-density genetic map constructed by F10 RIL populations from a cross between Glycine max and Glycine soja to detect additive QTLs for seven seed-related traits over the last three years. As a result, we identified one novel pleiotropic QTL, qSS14, that simultaneously controlled four seed size traits (100-seed weight, seed length, seed width, and seed thickness) and two consistently detected QTLs, qSW17, and qSLW02, in multiple years of phenotypic data. Furthermore, we predicted two, two and three candidate genes within these three critical loci based on the parental resequencing data and gene function annotations. And the relative expression of four candidate genes GLYMA_14G155100, GLYMA_17G061000, GLYMA_02G273100, and GLYMA_02G273300 showed significant differences among parents and the extreme materials through qRT-PCR analysis. These findings could facilitate the determination of beneficial genes in wild soybean and contribute to our understanding of the soybean domestication process.
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Affiliation(s)
- Baoqi Yuan
- Soybean Research Institute, Jilin Academy of Agricultural Sciences/National Engineering Research Center for Soybean, Changchun, Jilin, China
- College of Agronomy, Jilin Agricultural University, Changchun, Jilin, China
| | - Guangxun Qi
- Soybean Research Institute, Jilin Academy of Agricultural Sciences/National Engineering Research Center for Soybean, Changchun, Jilin, China
| | - Cuiping Yuan
- Soybean Research Institute, Jilin Academy of Agricultural Sciences/National Engineering Research Center for Soybean, Changchun, Jilin, China
| | - Yumin Wang
- Soybean Research Institute, Jilin Academy of Agricultural Sciences/National Engineering Research Center for Soybean, Changchun, Jilin, China
| | - Hongkun Zhao
- Soybean Research Institute, Jilin Academy of Agricultural Sciences/National Engineering Research Center for Soybean, Changchun, Jilin, China
| | - Yuqiu Li
- Soybean Research Institute, Jilin Academy of Agricultural Sciences/National Engineering Research Center for Soybean, Changchun, Jilin, China
| | - Yingnan Wang
- Soybean Research Institute, Jilin Academy of Agricultural Sciences/National Engineering Research Center for Soybean, Changchun, Jilin, China
| | - Lingchao Dong
- Soybean Research Institute, Jilin Academy of Agricultural Sciences/National Engineering Research Center for Soybean, Changchun, Jilin, China
| | - Yingshan Dong
- Soybean Research Institute, Jilin Academy of Agricultural Sciences/National Engineering Research Center for Soybean, Changchun, Jilin, China.
- College of Agronomy, Jilin Agricultural University, Changchun, Jilin, China.
| | - Xiaodong Liu
- College of Agronomy, Jilin Agricultural University, Changchun, Jilin, China.
- Crop Germplasm Institute, Jilin Academy of Agricultural Sciences, Changchun, Jilin, China.
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Fang Y, Zhang X, Liu H, Wu J, Qi F, Sun Z, Zheng Z, Dong W, Huang B. Identification of quantitative trait loci and development of diagnostic markers for growth habit traits in peanut (Arachis hypogaea L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:105. [PMID: 37027030 PMCID: PMC10082100 DOI: 10.1007/s00122-023-04327-9] [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: 07/05/2022] [Accepted: 02/20/2023] [Indexed: 05/13/2023]
Abstract
KEY MESSAGE QTLs for growth habit are identified on Arahy.15 and Arahy.06 in peanut, and diagnostic markers are developed and validated for further use in marker-assisted breeding. Peanut is a unique legume crop because its pods develop and mature underground. The pegs derive from flowers following pollination, then reach the ground and develop into pods in the soil. Pod number per plant is influenced by peanut growth habit (GH) that has been categorized into four types, including erect, bunch, spreading and prostrate. Restricting pod development at the plant base, as would be the case for peanut plants with upright lateral branches, would decrease pod yield. On the other hand, GH characterized by spreading lateral branches on the ground would facilitate pod formation on the nodes, thereby increasing yield potential. We describe herein an investigation into the GH traits of 521 peanut recombinant inbred lines grown in three distinct environments. Quantitative trait loci (QTLs) for GH were identified on linkage group (LG) 15 between 203.1 and 204.2 cM and on LG 16 from 139.1 to 139.3 cM. Analysis of resequencing data in the identified QTL regions revealed that single nucleotide polymorphism (SNP) or insertion and/or deletion (INDEL) at Arahy15.156854742, Arahy15.156931574, Arahy15.156976352 and Arahy06.111973258 may affect the functions of their respective candidate genes, Arahy.QV02Z8, Arahy.509QUQ, Arahy.ATH5WE and Arahy.SC7TJM. These SNPs and INDELs in relation to peanut GH were further developed for KASP genotyping and tested on a panel of 77 peanut accessions with distinct GH features. This study validates four diagnostic markers that may be used to distinguish erect/bunch peanuts from spreading/prostrate peanuts, thereby facilitating marker-assisted selection for GH traits in peanut breeding.
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Affiliation(s)
- Yuanjin Fang
- College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, China
- Henan Academy of Agricultural Sciences, Henan Institute of Crop Molecular Breeding, Shennong Laboratory, Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture, Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Xinyou Zhang
- College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, China.
- Henan Academy of Agricultural Sciences, Henan Institute of Crop Molecular Breeding, Shennong Laboratory, Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture, Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China.
| | - Hua Liu
- Henan Academy of Agricultural Sciences, Henan Institute of Crop Molecular Breeding, Shennong Laboratory, Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture, Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Jihua Wu
- Shangqiu Academy of Agriculture and Forestry, Shangqiu, 476002, China
| | - Feiyan Qi
- Henan Academy of Agricultural Sciences, Henan Institute of Crop Molecular Breeding, Shennong Laboratory, Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture, Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Ziqi Sun
- Henan Academy of Agricultural Sciences, Henan Institute of Crop Molecular Breeding, Shennong Laboratory, Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture, Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Zheng Zheng
- Henan Academy of Agricultural Sciences, Henan Institute of Crop Molecular Breeding, Shennong Laboratory, Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture, Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Wenzhao Dong
- Henan Academy of Agricultural Sciences, Henan Institute of Crop Molecular Breeding, Shennong Laboratory, Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture, Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China
| | - Bingyan Huang
- Henan Academy of Agricultural Sciences, Henan Institute of Crop Molecular Breeding, Shennong Laboratory, Key Laboratory of Oil Crops in Huang-Huai-Hai Planis, Ministry of Agriculture, Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, 450002, China.
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Santo Domingo M, Mayobre C, Pereira L, Argyris J, Valverde L, Martín-Hernández AM, Garcia-Mas J, Pujol M. Fruit Morphology and Ripening-Related QTLs in a Newly Developed Introgression Line Collection of the Elite Varieties 'Védrantais' and 'Piel de Sapo'. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11223120. [PMID: 36432848 PMCID: PMC9694011 DOI: 10.3390/plants11223120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/21/2022] [Accepted: 11/10/2022] [Indexed: 05/28/2023]
Abstract
Melon is an economically important crop with widely diverse fruit morphology and ripening characteristics. Its diploid sequenced genome and multiple genomic tools make this species suitable to study the genetic architecture of fruit traits. With the development of this introgression line population of the elite varieties 'Piel de Sapo' and 'Védrantais', we present a powerful tool to study fruit morphology and ripening traits that can also facilitate characterization or pyramidation of QTLs in inodorous melon types. The population consists of 36 lines covering almost 98% of the melon genome, with an average of three introgressions per chromosome and segregating for multiple fruit traits: morphology, ripening and quality. High variability in fruit morphology was found within the population, with 24 QTLs affecting six different traits, confirming previously reported QTLs and two newly detected QTLs, FLQW5.1 and FWQW7.1. We detected 20 QTLs affecting fruit ripening traits, six of them reported for the first time, two affecting the timing of yellowing of the rind (EYELLQW1.1 and EYELLQW8.1) and four at the end of chromosome 8 affecting aroma, abscission and harvest date (EAROQW8.3, EALFQW8.3, ABSQW8.3 and HARQW8.3). We also confirmed the location of several QTLs, such as fruit-quality-related QTLs affecting rind and flesh appearance and flesh firmness.
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Affiliation(s)
- Miguel Santo Domingo
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
| | - Carlos Mayobre
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
| | - Lara Pereira
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
| | - Jason Argyris
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), 08193 Barcelona, Spain
| | - Laura Valverde
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
| | - Ana Montserrat Martín-Hernández
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), 08193 Barcelona, Spain
| | - Jordi Garcia-Mas
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), 08193 Barcelona, Spain
| | - Marta Pujol
- Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Edifici CRAG, Campus UAB, 08193 Barcelona, Spain
- Institut de Recerca i Tecnologia Agroalimentàries (IRTA), 08193 Barcelona, Spain
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