1
|
Ma X, Wang J, Gu Y, Fang P, Nie W, Luo R, Liu J, Qian W, Mei J. Genetic analysis and QTL mapping for silique density in rapeseed (Brassica napus L.). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:128. [PMID: 37191718 DOI: 10.1007/s00122-023-04375-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 05/02/2023] [Indexed: 05/17/2023]
Abstract
KEY MESSAGE Genetic models, QTLs and candidate gene for silique density on main inflorescence of rapeseed were identified. Silique density is one of the critical factors to determine seed yield and plant architecture in rapeseed (Brassica napus L.); however, the genetic control of this trait is largely unknown. In this study, the genetic model for silique density on main inflorescence (SDMI) of rapeseed was estimated according to the phenotypic data of P1 (an inbreed line with high SDMI), P2 (an inbreed line with low SDMI), F1, F2, BC1P1 and BC1P2 populations, revealing that SDMI is probably controlled by multi-minor genes with or without major gene. The QTLs for SDMI and its component characters including silique number on main inflorescence (SNMI) and main inflorescence length (MIL) were consequently mapped from a DH population derived from P1 and P2 by using a genetic linkage map constructed by restriction site-associated DNA sequencing (RAD seq) technology. A total of eight, 14 and three QTLs were identified for SDMI, SNMI and MIL under three environments, respectively, with an overlap among SDMI and SNMI in 55.7-75.4 cm on linkage group C06 which corresponding to 11.6-27.3 Mb on chromosome C06. Genomic resequencing was further conducted between a high- and a low-SDMI pool constructed from the DH population, and QTL-seq analysis identified a 0.15 Mb interval (25.98-26.13 Mb) from the C06-QTL region aforementioned. Transcriptome sequencing and qRT-PCR identified one possible candidate gene (BnARGOS) from the 0.15 Mb interval. This study will provide novel insights into the genetic basis of SD in rapeseed.
Collapse
Affiliation(s)
- Xingrong Ma
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, 400716, China
| | - Jinhua Wang
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China
- Guizhou Oil Research Institute, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, China
| | - Yongfen Gu
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, 400716, China
| | - Pengpeng Fang
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China
- Long Ping Branch, Graduate School of Hunan University, Changsha, 410125, Hunan, China
- Hunan Hybrid Rice Research Center and State Key Laboratory of Hybrid Rice, Changsha, 410125, Hunan, China
| | - Wenjing Nie
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, 400716, China
| | - Ruirui Luo
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China
- Academy of Agricultural Sciences, Southwest University, Chongqing, 400716, China
| | - Jin Liu
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China
- Organization Department of Qingbaijiang District, Chengdu, 610000, China
| | - Wei Qian
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
- Academy of Agricultural Sciences, Southwest University, Chongqing, 400716, China.
| | - Jiaqin Mei
- College of Agronomy and Biotechnology, Southwest University, Chongqing, 400716, China.
- Academy of Agricultural Sciences, Southwest University, Chongqing, 400716, China.
| |
Collapse
|
2
|
Zhang Y, Zhang Q, Wang H, Tao S, Cao H, Shi Y, Bakirov A, Xu A, Huang Z. Discovery of common loci and candidate genes for controlling salt-alkali tolerance and yield-related traits in Brassica napus L. PLANT CELL REPORTS 2023; 42:1039-1057. [PMID: 37076701 DOI: 10.1007/s00299-023-03011-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 03/27/2023] [Indexed: 05/03/2023]
Abstract
KEY MESSAGE Common loci and candidate genes for controlling salt-alkali tolerance and yield-related traits were identified in Brassica napus combining QTL mapping with transcriptome under salt and alkaline stresses. The yield of rapeseed (Brassica napus L.) is determined by multiple yield-related traits, which are susceptible to environmental factors. Many yield-related quantitative trait loci (QTLs) have been reported in Brassica napus; however, no studies have been conducted to investigate both salt-alkali tolerance and yield-related traits simultaneously. Here, specific-locus amplified fragment sequencing (SLAF-seq) technologies were utilized to map the QTLs for salt-alkali tolerance and yield-related traits. A total of 65 QTLs were identified, including 30 QTLs for salt-alkali tolerance traits and 35 QTLs for yield-related traits, accounting for 7.61-27.84% of the total phenotypic variations. Among these QTLs, 18 unique QTLs controlling two to four traits were identified by meta-analysis. Six novel and unique QTLs were detected for salt-alkali tolerance traits. By comparing these unique QTLs for salt-alkali tolerance traits with those previously reported QTLs for yield-related traits, seven co-localized chromosomal regions were identified on A09 and A10. Combining QTL mapping with transcriptome of two parents under salt and alkaline stresses, thirteen genes were identified as the candidates controlling both salt-alkali tolerance and yield. These findings provide useful information for future breeding of high-yield cultivars resistant to alkaline and salt stresses.
Collapse
Affiliation(s)
- Yan Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Qi Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Han Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Shunxian Tao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Hanming Cao
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yiji Shi
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Aldiyar Bakirov
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Aixia Xu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Zhen Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
| |
Collapse
|
3
|
Genome-Wide Association Studies of Salt Tolerance at the Seed Germination Stage and Yield-Related Traits in Brassica napus L. Int J Mol Sci 2022; 23:ijms232415892. [PMID: 36555533 PMCID: PMC9785822 DOI: 10.3390/ijms232415892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/11/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022] Open
Abstract
Salt stress severely affects crop growth and development and reduces the yield of Brassica napus. Exploring natural genetic variations for high salt tolerance in B. napus seedlings is an effective approach to improve productivity under salt stress. Using 10,658 high-quality single nucleotide polymorphic (SNP) markers developed by specific-locus amplified fragment sequencing (SLAF-seq) technology, genome-wide association studies (GWAS) were performed to investigate the genetic basis of salt tolerance and yield-related traits of B. napus. The results revealed that 77 and 497 SNPs were significantly associated with salt tolerance and yield-related traits, of which 40 and 58 SNPs were located in previously reported QTLs/SNPs, respectively. We identified nineteen candidate genes orthologous with Arabidopsis genes known to be associated with salt tolerance and seven potential candidates controlling both salt tolerance and yield. Our study provides a novel genetic resource for the breeding of high-yield cultivars resistant to salt stress.
Collapse
|
4
|
Chen L, Song B, Yu C, Zhang J, Zhang J, Bi R, Li X, Ren X, Zhu Y, Yao D, Song Y, Yang S, Zhao R. Identifying Soybean Pod Borer ( Leguminivora glycinivorella) Resistance QTLs and the Mechanism of Induced Defense Using Linkage Mapping and RNA-Seq Analysis. Int J Mol Sci 2022; 23:ijms231810910. [PMID: 36142822 PMCID: PMC9504297 DOI: 10.3390/ijms231810910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 09/09/2022] [Accepted: 09/14/2022] [Indexed: 11/16/2022] Open
Abstract
The soybean pod borer (Leguminivora glycinivorella) (SPB) is a major cause of soybean (Glycine max L.) yield losses in northeast Asia, thus it is desirable to elucidate the resistance mechanisms involved in soybean response to the SPB. However, few studies have mapped SPB-resistant quantitative trait loci (QTLs) and deciphered the response mechanism in soybean. Here, we selected two soybean varieties, JY93 (SPB-resistant) and K6 (SPB-sensitive), to construct F2 and F2:3 populations for QTL mapping and collected pod shells before and after SPB larvae chewed on the two parents to perform RNA-Seq, which can identify stable QTLs and explore the response mechanism of soybean to the SPB. The results show that four QTLs underlying SPB damage to seeds were detected on chromosomes 4, 9, 13, and 15. Among them, qESP-9-1 was scanned in all environments, hence it can be considered a stable QTL. All QTLs explained 0.79 to 6.09% of the phenotypic variation. Meanwhile, 2298 and 3509 DEGs were identified for JY93 and K6, respectively, after the SPB attack, and most of these genes were upregulated. Gene Ontology enrichment results indicated that the SPB-induced and differently expressed genes in both parents are involved in biological processes such as wound response, signal transduction, immune response, and phytohormone pathways. Interestingly, secondary metabolic processes such as flavonoid synthesis were only significantly enriched in the upregulated genes of JY93 after SPB chewing compared with K6. Finally, we identified 18 candidate genes related to soybean pod borer resistance through the integration of QTL mapping and RNA-Seq analysis. Seven of these genes had similar expression patterns to the mapping parents in four additional soybean germplasm after feeding by the SPB. These results provide additional knowledge of the early response and induced defense mechanisms against the SPB in soybean, which could help in breeding SPB-resistant soybean accessions.
Collapse
Affiliation(s)
- Liangyu Chen
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Baixing Song
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Cheng Yu
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Jun Zhang
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
- National Crop Variety Approval and Characteristic Identification Station, Jilin Agricultural University, Changchun 130118, China
| | - Jian Zhang
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
- Department Biology, University of British Columbia-Okanagan, Kelowna, BC V1V 1V7, Canada
| | - Rui Bi
- College of Plant Protection, Jilin Agricultural University, Changchun 130118, China
| | - Xueying Li
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Xiaobo Ren
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Yanyu Zhu
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Dan Yao
- College of Life Science, Jilin Agricultural University, Changchun 130118, China
| | - Yang Song
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Songnan Yang
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
- Correspondence: (S.Y.); (R.Z.)
| | - Rengui Zhao
- Faculty of Agronomy, Jilin Agricultural University, Changchun 130118, China
- Correspondence: (S.Y.); (R.Z.)
| |
Collapse
|
5
|
Chao H, Li H, Yan S, Zhao W, Chen K, Wang H, Raboanatahiry N, Huang J, Li M. Further insight into decreases in seed glucosinolate content based on QTL mapping and RNA-seq in Brassica napus L. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:2969-2991. [PMID: 35841418 DOI: 10.1007/s00122-022-04161-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 06/22/2022] [Indexed: 06/15/2023]
Abstract
The QTL hotspots determining seed glucosinolate content instead of only four HAG1 loci and elucidation of a potential regulatory model for rapeseed SGC variation. Glucosinolates (GSLs) are amino acid-derived, sulfur-rich secondary metabolites that function as biopesticides and flavor compounds, but the high seed glucosinolate content (SGC) reduces seed quality for rapeseed meal. To dissect the genetic mechanism and further reduce SGC in rapeseed, QTL mapping was performed using an updated high-density genetic map based on a doubled haploid (DH) population derived from two parents that showed significant differences in SGC. In 15 environments, a total of 162 significant QTLs were identified for SGC and then integrated into 59 consensus QTLs, of which 32 were novel QTLs. Four QTL hotspot regions (QTL-HRs) for SGC variation were discovered on chromosomes A09, C02, C07 and C09, including seven major QTLs that have previously been reported and four novel major QTLs in addition to HAG1 loci. SGC was largely determined by superimposition of advantage allele in the four QTL-HRs. Important candidate genes directly related to GSL pathways were identified underlying the four QTL-HRs, including BnaC09.MYB28, BnaA09.APK1, BnaC09.SUR1 and BnaC02.GTR2a. Related differentially expressed candidates identified in the minor but environment stable QTLs indicated that sulfur assimilation plays an important rather than dominant role in SGC variation. A potential regulatory model for rapeseed SGC variation constructed by combining candidate GSL gene identification and differentially expressed gene analysis based on RNA-seq contributed to a better understanding of the GSL accumulation mechanism. This study provides insights to further understand the genetic regulatory mechanism of GSLs, as well as the potential loci and a new route to further diminish the SGC in rapeseed.
Collapse
Affiliation(s)
- Hongbo Chao
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Huaixin Li
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Shuxiang Yan
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Weiguo Zhao
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
- Hybrid Rapeseed Research Center of Shaanxi Province, Shaanxi Rapeseed Branch of National Centre for Oil Crops Genetic Improvement, Yangling, 712100, China
| | - Kang Chen
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Hao Wang
- Hybrid Rapeseed Research Center of Shaanxi Province, Shaanxi Rapeseed Branch of National Centre for Oil Crops Genetic Improvement, Yangling, 712100, China
| | - Nadia Raboanatahiry
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jinyong Huang
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, 450001, Henan, China.
| | - Maoteng Li
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
| |
Collapse
|
6
|
Duan Y, Chen Q, Chen Q, Zheng K, Cai Y, Long Y, Zhao J, Guo Y, Sun F, Qu Y. Analysis of transcriptome data and quantitative trait loci enables the identification of candidate genes responsible for fiber strength in Gossypium barbadense. G3 GENES|GENOMES|GENETICS 2022; 12:6650278. [PMID: 35881688 PMCID: PMC9434320 DOI: 10.1093/g3journal/jkac167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 06/23/2022] [Indexed: 11/13/2022]
Abstract
Gossypium barbadense possesses a superior fiber quality because of its fiber length and strength. An in-depth analysis of the underlying genetic mechanism could aid in filling the gap in research regarding fiber strength and could provide helpful information for Gossypium barbadense breeding. Three quantitative trait loci related to fiber strength were identified from a Gossypium barbadense recombinant inbred line (PimaS-7 × 5917) for further analysis. RNA sequencing was performed in the fiber tissues of PimaS-7 × 5917 0–35 days postanthesis. Four specific modules closely related to the secondary wall-thickening stage were obtained using the weighted gene coexpression network analysis. In total, 55 genes were identified as differentially expressed from 4 specific modules. Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes were used for enrichment analysis, and Gbar_D11G032910, Gbar_D08G020540, Gbar_D08G013370, Gbar_D11G033670, and Gbar_D11G029020 were found to regulate fiber strength by playing a role in the composition of structural constituents of cytoskeleton and microtubules during fiber development. Quantitative real-time PCR results confirmed the accuracy of the transcriptome data. This study provides a quick strategy for exploring candidate genes and provides new insights for improving fiber strength in cotton.
Collapse
Affiliation(s)
- Yajie Duan
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Qin Chen
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Quanjia Chen
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Kai Zheng
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Yongsheng Cai
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Yilei Long
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Jieyin Zhao
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Yaping Guo
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Fenglei Sun
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| | - Yanying Qu
- College of Agronomy, Xinjiang Agricultural University , Urumqi, Xinjiang 830052, China
| |
Collapse
|
7
|
Jiang X, Yang T, Zhang F, Yang X, Yang C, He F, Long R, Gao T, Jiang Y, Yang Q, Wang Z, Kang J. RAD-Seq-Based High-Density Linkage Maps Construction and Quantitative Trait Loci Mapping of Flowering Time Trait in Alfalfa ( Medicago sativa L.). FRONTIERS IN PLANT SCIENCE 2022; 13:899681. [PMID: 35720570 PMCID: PMC9199863 DOI: 10.3389/fpls.2022.899681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 04/25/2022] [Indexed: 06/15/2023]
Abstract
Alfalfa (Medicago sativa L.) is a perennial forage crop known as the "Queen of Forages." To dissect the genetic mechanism of flowering time (FT) in alfalfa, high-density linkage maps were constructed for both parents of an F1 mapping population derived from a cross between Cangzhou (P1) and ZhongmuNO.1 (P2), consisting of 150 progenies. The FT showed a transgressive segregation pattern in the mapping population. A total of 13,773 single-nucleotide polymorphism markers was obtained by using restriction-site associated DNA sequencing and distributed on 64 linkage groups, with a total length of 3,780.49 and 4,113.45 cM and an average marker interval of 0.58 and 0.59 cM for P1 and P2 parent, respectively. Quantitative trait loci (QTL) analyses were performed using the least square means of each year as well as the best linear unbiased prediction values across 4 years. Sixteen QTLs for FT were detected for P1 and 22 QTLs for P2, accounting for 1.40-16.04% of FT variation. RNA-Seq analysis at three flowering stages identified 5,039, 7,058, and 7,996 genes that were differentially expressed between two parents, respectively. Based on QTL mapping, DEGs analysis, and functional annotation, seven candidate genes associated with flowering time were finally detected. This study discovered QTLs and candidate genes for alfalfa FT, making it a useful resource for breeding studies on this essential crop.
Collapse
Affiliation(s)
- Xueqian Jiang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Tianhui Yang
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, China
| | - Fan Zhang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xijiang Yang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Changfu Yang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fei He
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ruicai Long
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ting Gao
- Institute of Animal Science, Ningxia Academy of Agricultural and Forestry Sciences, Yinchuan, China
| | - Yiwei Jiang
- Department of Agronomy, Purdue University, West Lafayette, IN, United States
| | - Qingchuan Yang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Zhen Wang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Junmei Kang
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| |
Collapse
|
8
|
Raboanatahiry N, Chao H, He J, Li H, Yin Y, Li M. Construction of a Quantitative Genomic Map, Identification and Expression Analysis of Candidate Genes for Agronomic and Disease-Related Traits in Brassica napus. FRONTIERS IN PLANT SCIENCE 2022; 13:862363. [PMID: 35360294 PMCID: PMC8963808 DOI: 10.3389/fpls.2022.862363] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 02/15/2022] [Indexed: 06/12/2023]
Abstract
Rapeseed is the second most important oil crop in the world. Improving seed yield and seed oil content are the two main highlights of the research. Unfortunately, rapeseed development is frequently affected by different diseases. Extensive research has been made through many years to develop elite cultivars with high oil, high yield, and/or disease resistance. Quantitative trait locus (QTL) analysis has been one of the most important strategies in the genetic deciphering of agronomic characteristics. To comprehend the distribution of these QTLs and to uncover the key regions that could simultaneously control multiple traits, 4,555 QTLs that have been identified during the last 25 years were aligned in one unique map, and a quantitative genomic map which involved 128 traits from 79 populations developed in 12 countries was constructed. The present study revealed 517 regions of overlapping QTLs which harbored 2,744 candidate genes and might affect multiple traits, simultaneously. They could be selected to customize super-rapeseed cultivars. The gene ontology and the interaction network of those candidates revealed genes that highly interacted with the other genes and might have a strong influence on them. The expression and structure of these candidate genes were compared in eight rapeseed accessions and revealed genes of similar structures which were expressed differently. The present study enriches our knowledge of rapeseed genome characteristics and diversity, and it also provided indications for rapeseed molecular breeding improvement in the future.
Collapse
Affiliation(s)
- Nadia Raboanatahiry
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Hongbo Chao
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Jianjie He
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Huaixin Li
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Yongtai Yin
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Maoteng Li
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
9
|
Laoué J, Depardieu C, Gérardi S, Lamothe M, Bomal C, Azaiez A, Gros-Louis MC, Laroche J, Boyle B, Hammerbacher A, Isabel N, Bousquet J. Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce. FRONTIERS IN PLANT SCIENCE 2021; 12:675108. [PMID: 34079574 PMCID: PMC8166253 DOI: 10.3389/fpls.2021.675108] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 04/08/2021] [Indexed: 05/05/2023]
Abstract
Conifer forests worldwide are becoming increasingly vulnerable to the effects of climate change. Although the production of phenolic compounds (PCs) has been shown to be modulated by biotic and abiotic stresses, the genetic basis underlying the variation in their constitutive production level remains poorly documented in conifers. We used QTL mapping and RNA-Seq to explore the complex polygenic network underlying the constitutive production of PCs in a white spruce (Picea glauca) full-sib family for 2 years. QTL detection was performed for nine PCs and differentially expressed genes (DEGs) were identified between individuals with high and low PC contents for five PCs exhibiting stable QTLs across time. A total of 17 QTLs were detected for eight metabolites, including one major QTL explaining up to 91.3% of the neolignan-2 variance. The RNA-Seq analysis highlighted 50 DEGs associated with phenylpropanoid biosynthesis, several key transcription factors, and a subset of 137 genes showing opposite expression patterns in individuals with high levels of the flavonoids gallocatechin and taxifolin glucoside. A total of 19 DEGs co-localized with QTLs. Our findings represent a significant step toward resolving the genomic architecture of PC production in spruce and facilitate the functional characterization of genes and transcriptional networks responsible for differences in constitutive production of PCs in conifers.
Collapse
Affiliation(s)
- Justine Laoué
- Canada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada
- *Correspondence: Justine Laoué
| | - Claire Depardieu
- Canada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada
- Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, Canada
| | - Sébastien Gérardi
- Canada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada
| | - Manuel Lamothe
- Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, Canada
| | - Claude Bomal
- Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, Canada
| | - Aïda Azaiez
- Canada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada
| | - Marie-Claude Gros-Louis
- Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, Canada
| | - Jérôme Laroche
- Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada
| | - Brian Boyle
- Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada
| | - Almuth Hammerbacher
- Department of Zoology, Entomology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa
| | - Nathalie Isabel
- Canada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada
- Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, Canada
| | - Jean Bousquet
- Canada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada
- Jean Bousquet
| |
Collapse
|
10
|
Yang S, Gill RA, Zaman QU, Ulhassan Z, Zhou W. Insights on SNP types, detection methods and their utilization in Brassica species: Recent progress and future perspectives. J Biotechnol 2020; 324:11-20. [PMID: 32979432 DOI: 10.1016/j.jbiotec.2020.09.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 09/15/2020] [Accepted: 09/20/2020] [Indexed: 01/09/2023]
Abstract
The genus Brassica, family Brassicaceae (Cruciferae), comprises many important species of oil crops, vegetables and medicinal plants including B. rapa, B. oleracea, B. nigra, B. napus, B. juncea, B. carinata. Genomic researches in Brassica species is constrained by polyploidization, mainly due to its complicated genomic structure. However, rapid development of methods for detecting single nucleotide polymorphisms (SNP), such as next generation sequencing and SNP microarray, has accelerated release of reference Brassica species genomes as well as discovery of large numbers and genome-wide SNPs, thus intensifying forward genetics in this genus. In this review, we summarize biological characteristics, classification and various methods for detecting SNPs, focusing on high-throughput techniques. Moreover, we describe the pivotal roles of SNPs in genetic diversity, linkage map construction and QTL mapping, comparative genomics, linkage disequilibrium and genome-wide association studies. These insights are expected to deepen our understanding and guide further advancements in Brassica species research.
Collapse
Affiliation(s)
- Su Yang
- College of Life Sciences, China Jiliang University, Hangzhou 310018, China
| | - Rafaqat Ali Gill
- Oil Crops Research Institute, Chinese Academy of Agricultural Science, Wuhan 430062, China.
| | - Qamar U Zaman
- Oil Crops Research Institute, Chinese Academy of Agricultural Science, Wuhan 430062, China
| | - Zaid Ulhassan
- Institute of Crop Science, Ministry of Agriculture and Rural Affairs Laboratory of Spectroscopy Sensing, Zhejiang University, Hangzhou 310058, China
| | - Weijun Zhou
- Institute of Crop Science, Ministry of Agriculture and Rural Affairs Laboratory of Spectroscopy Sensing, Zhejiang University, Hangzhou 310058, China
| |
Collapse
|
11
|
Tang M, Tong C, Liang L, Du C, Zhao J, Xiao L, Tong J, Dai X, Helal M, Dai W, Xiang Y. A recessive high-density pod mutant resource of Brassica napus. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2020; 293:110411. [PMID: 32081260 DOI: 10.1016/j.plantsci.2020.110411] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 01/06/2020] [Accepted: 01/07/2020] [Indexed: 05/28/2023]
Abstract
In Brassica napus, pod number and pod density are critical factors to determine seed yield. Although the pod density is an essential yield trait, the regulation of yield formation in oil crops, as well as the genetic and molecular mechanisms, are poorly understood. In this study, we characterized a rapeseed high-density pod mutant (dpt247) from composite hybridization. To shed some light on the nature of this mutation, it was investigated morphologically, anatomically, physiologically, genetically and transcriptomically. The mutant plant showed noticeable phenotypic differences in comparison with the control plant, including reduced plant height and primary branch length, decreased number of primary branches, significantly increased number of pod on the main inflorescence, and more compact pod distribution. Besides, the mutant had higher levels of indole-3-acetic acid (IAA) and zeatin riboside (ZR) in the shoot apical meristem (SAM). The dense pod trait was controlled by two major recessive genes identified in the segregating genetic populations of GRE501 and dpt247. RNA sequencing indicated genes participated in auxin, cytokinin and WUS/CLV signalling pathway in dpt247 were more active in the mutant. These results provide important information for understanding the regulation of yield formation and high yield breeding in rapeseed.
Collapse
Affiliation(s)
- Minqiang Tang
- Guizhou Rapeseed Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, PR China; 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, Wuhan 430062, PR China
| | - Chaobo Tong
- 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, Wuhan 430062, PR China
| | - Longbin Liang
- Guizhou Rapeseed Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, PR China
| | - Caifu Du
- Guizhou Rapeseed Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, PR China
| | - Jixian Zhao
- Guizhou Rapeseed Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, PR China
| | - Langtao Xiao
- Hunan Provincial Key Laboratory of Phytohormones and Growth and Development, Hunan Agricultural University, Changsha 410128, PR China
| | - Jianhua Tong
- Hunan Provincial Key Laboratory of Phytohormones and Growth and Development, Hunan Agricultural University, Changsha 410128, PR China
| | - Xianglai Dai
- Guizhou Rapeseed Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, PR China
| | - Mmu Helal
- 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, Wuhan 430062, PR China
| | - Wendong Dai
- Guizhou Rapeseed Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, PR China
| | - Yang Xiang
- Guizhou Rapeseed Institute, Guizhou Academy of Agricultural Sciences, Guiyang 550008, PR China.
| |
Collapse
|
12
|
Li S, Zhu Y, Varshney RK, Zhan J, Zheng X, Shi J, Wang X, Liu G, Wang H. A systematic dissection of the mechanisms underlying the natural variation of silique number in rapeseed (Brassica napus L.) germplasm. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:568-580. [PMID: 31368615 PMCID: PMC6953207 DOI: 10.1111/pbi.13224] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Revised: 07/02/2019] [Accepted: 07/17/2019] [Indexed: 05/12/2023]
Abstract
Silique number is the most important component of yield in rapeseed (Brassica napus L.). To dissect the mechanism underlying the natural variation of silique number in rapeseed germplasm, a series of studies were performed. A panel of 331 core lines was employed to genome-wide association study (GWAS), and 27 loci (including 20 novel loci) were identified. The silique number difference between the more- and fewer-silique lines can be attributed to the accumulative differences in flower number and silique setting rate. Each of them accounted for 75.2% and 24.8%, respectively. The silique number was highly associated with the total photosynthesis and biomass. Microscopic analysis showed that the difference between extremely more- and fewer-silique lines normally occurred at the amount of flower bud but not morphology. Transcriptome analysis of shoot apical meristem (SAM) suggested that most of enriched groups were associated with the auxin biosynthesis/metabolism, vegetative growth and nutrition/energy accumulation. By integrating GWAS and RNA-seq results, six promising candidate genes were identified, and some of them were related to biomass accumulation. In conclusion, the natural variation of silique number is largely affected by the biomass and nutrition accumulation, which essentially reflects the positive regulatory relationship between the source and sink. Our study provides a comprehensive and systematic explanation for natural variation of silique number in rapeseed, which provides a foundation for its improvement.
Collapse
Affiliation(s)
- Shuyu Li
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
- Crop Research InstituteJiangxi Academy of Agricultural SciencesNanchangChina
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Yaoyao Zhu
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Rajeev Kumar Varshney
- Center of Excellence in Genomics & Systems BiologyInternational Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)PatancheruIndia
| | - Jiepeng Zhan
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Xiaoxiao Zheng
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Jiaqin Shi
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Xinfa Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Guihua Liu
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| | - Hanzhong Wang
- Oil Crops Research Institute of the Chinese Academy of Agricultural SciencesKey Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureWuhanChina
| |
Collapse
|
13
|
Wang T, Wei L, Wang J, Xie L, Li YY, Ran S, Ren L, Lu K, Li J, Timko MP, Liu L. Integrating GWAS, linkage mapping and gene expression analyses reveals the genetic control of growth period traits in rapeseed ( Brassica napus L.). BIOTECHNOLOGY FOR BIOFUELS 2020; 13:134. [PMID: 32774455 PMCID: PMC7397576 DOI: 10.1186/s13068-020-01774-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 07/24/2020] [Indexed: 05/08/2023]
Abstract
BACKGROUND Brassica napus is one of the most important oilseed crops, and also an important biofuel plant due to its low air pollution and renewability. Growth period are important traits that affect yield and are crucial for its adaptation to different environments in B. napus. RESULTS To elucidate the genetic basis of growth period traits, genome-wide association analysis (GWAS) and linkage mapping were employed to detect the quantitative trait loci (QTL) for days to initial flowering (DIF), days to final flowering (DFF), flowering period (FP), maturity time (MT), and whole growth period (GP). A total of 146 SNPs were identified by association mapping, and 83 QTLs were identified by linkage mapping using the RIL population. Among these QTLs, 19 were pleiotropic SNPs related to multiple traits, and six (q18DFF.A03-2, q18MT.A03-2, q17DFF.A05-1, q18FP.C04, q17DIF.C05 and q17GP.C09) were consistently detected using both mapping methods. Additionally, we performed RNA sequencing to analyze the differential expression of gene (DEG) transcripts between early- and late-flowering lines selected from the RIL population, and the DEGs were integrated with association mapping and linkage analysis to confirm their roles in the growth period. Consequently, 12 candidate genes associated with growth period traits were identified in B. napus. Among these genes, seven have polymorphic sites in the coding sequence and the upstream 2-kb sequence based on the resequencing data. The haplotype BnaSOC1.A05-Haplb and BnaLNK2.C06-Hapla showed more favorable phenotypic traits. CONCLUSIONS The candidate genes identified in this study will contribute to our genetic understanding of growth period traits and can be used as targets for target mutations or marker-assisted breeding for rapeseed adapted to different environments.
Collapse
Affiliation(s)
- Tengyue Wang
- Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Academy of Agricultural Sciences, Southwest University, Beibei, Chongqing, 400715 China
| | - Lijuan Wei
- Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Academy of Agricultural Sciences, Southwest University, Beibei, Chongqing, 400715 China
| | - Jia Wang
- Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Academy of Agricultural Sciences, Southwest University, Beibei, Chongqing, 400715 China
| | - Ling Xie
- Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Academy of Agricultural Sciences, Southwest University, Beibei, Chongqing, 400715 China
| | - Yang Yang Li
- Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Academy of Agricultural Sciences, Southwest University, Beibei, Chongqing, 400715 China
| | - Shuyao Ran
- Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Academy of Agricultural Sciences, Southwest University, Beibei, Chongqing, 400715 China
| | - Lanyang Ren
- Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Academy of Agricultural Sciences, Southwest University, Beibei, Chongqing, 400715 China
| | - Kun Lu
- Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Academy of Agricultural Sciences, Southwest University, Beibei, Chongqing, 400715 China
| | - Jiana Li
- Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Academy of Agricultural Sciences, Southwest University, Beibei, Chongqing, 400715 China
| | - Michael P. Timko
- Department of Biology, University of Virginia, Charlottesville, VA 22904 USA
| | - Liezhao Liu
- Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, Southwest University, Chongqing, 400715 China
- Academy of Agricultural Sciences, Southwest University, Beibei, Chongqing, 400715 China
| |
Collapse
|
14
|
Wen J, Jiang F, Weng Y, Sun M, Shi X, Zhou Y, Yu L, Wu Z. Identification of heat-tolerance QTLs and high-temperature stress-responsive genes through conventional QTL mapping, QTL-seq and RNA-seq in tomato. BMC PLANT BIOLOGY 2019; 19:398. [PMID: 31510927 PMCID: PMC6739936 DOI: 10.1186/s12870-019-2008-3] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 08/30/2019] [Indexed: 05/14/2023]
Abstract
BACKGROUND High temperature is one of the major abiotic stresses in tomato and greatly reduces fruit yield and quality. Identifying high-temperature stress-responsive (HSR) genes and breeding heat-tolerant varieties is an effective way to address this issue. However, there are few reports on the fine mapping of heat-tolerance quantitative trait locus (QTL) and the identification of HSR genes in tomato. Here, we applied three heat tolerance-related physiological indexes, namely, relative electrical conductivity (REC), chlorophyll content (CC) and maximum photochemical quantum efficiency (Fv/Fm) of PSII (photosystem II), as well as the phenotypic index, the heat injury index (HII), and conventional QTL analysis combined with QTL-seq technology to comprehensively detect heat-tolerance QTLs in tomato seedlings. In addition, we integrated the QTL mapping results with RNA-seq to identify key HSR genes within the major QTLs. RESULTS A total of five major QTLs were detected: qHII-1-1, qHII-1-2, qHII-1-3, qHII-2-1 and qCC-1-5 (qREC-1-3). qHII-1-1, qHII-1-2 and qHII-1-3 were located, respectively, in the intervals of 1.43, 1.17 and 1.19 Mb on chromosome 1, while the interval of qHII-2-1 was located in the intervals of 1.87 Mb on chromosome 2. The locations observed with conventional QTL mapping and QTL-seq were consistent. qCC-1-5 and qREC-1-3 for CC and REC, respectively, were located at the same position by conventional QTL mapping. Although qCC-1-5 was not detected in QTL-seq analysis, its phenotypic variation (16.48%) and positive additive effect (0.22) were the highest among all heat tolerance QTLs. To investigate the genes involved in heat tolerance within the major QTLs in tomato, RNA-seq analysis was performed, and four candidate genes (SlCathB2, SlGST, SlUBC5, and SlARG1) associated with heat tolerance were finally detected within the major QTLs by DEG analysis, qRT-PCR screening and biological function analysis. CONCLUSIONS In conclusion, this study demonstrated that the combination of conventional QTL mapping, QTL-seq analysis and RNA-seq can rapidly identify candidate genes within major QTLs for a complex trait of interest to replace the fine-mapping process, thus greatly shortening the breeding process and improving breeding efficiency. The results have important applications for the fine mapping and identification of HSR genes and breeding for improved thermotolerance.
Collapse
Affiliation(s)
- Junqin Wen
- College of Horticulture, Nanjing Agricultural University, Weigang NO 1, Nanjing, 210095 China
| | - Fangling Jiang
- College of Horticulture, Nanjing Agricultural University, Weigang NO 1, Nanjing, 210095 China
| | - Yiqun Weng
- University of Wisconsin-Madison, Madison, USA
| | - Mintao Sun
- College of Horticulture, Nanjing Agricultural University, Weigang NO 1, Nanjing, 210095 China
| | - Xiaopu Shi
- College of Horticulture, Nanjing Agricultural University, Weigang NO 1, Nanjing, 210095 China
| | - Yanzhao Zhou
- College of Horticulture, Nanjing Agricultural University, Weigang NO 1, Nanjing, 210095 China
| | - Lu Yu
- College of Horticulture, Nanjing Agricultural University, Weigang NO 1, Nanjing, 210095 China
| | - Zhen Wu
- College of Horticulture, Nanjing Agricultural University, Weigang NO 1, Nanjing, 210095 China
| |
Collapse
|
15
|
Wang J, Kuang L, Wang X, Liu G, Dun X, Wang H. Temporal genetic patterns of root growth in Brassica napus L. revealed by a low-cost, high-efficiency hydroponic system. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:2309-2323. [PMID: 31101925 DOI: 10.1007/s00122-019-03356-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 05/02/2019] [Indexed: 06/09/2023]
Abstract
Application of a low-cost and high-efficiency hydroponic system in a rapeseed population verified two types of genetic factors ("persistent" and "stage-specific") that control root development. The root system is a vital plant component for nutrient and water acquisition and is targeted to enhance plant productivity. Genetic dissection of the root system generally focuses on a single stage, but roots grow continuously during plant development. To reveal the temporal genetic patterns of root development, we measured nine root-related traits in a rapeseed recombinant inbred line population at six continuous stages during vegetative growth, using a modified hydroponic system with low-cost and high-efficiency features that could synchronize plant growth under controlled conditions. Phenotypic correlation and growth dynamic analysis suggested the existence of two types of genetic factors ("persistent" and "stage-specific") that control root development. Dynamic (unconditional and conditional) quantitative trait loci (QTL) mapping detected 28 stage-specific and 23 persistent QTLs related to root growth. Among them, 13 early stage-specific, 19 persistent and 8 later stage-specific QTLs were detected at 7 DAS (days after sowing), 16 DAS and 5 EL (expanding leaf stage), respectively, providing efficient and adaptable stages for QTL identification. The effective prediction of biomass accumulation using root morphological traits (up to 96.6% or 92.64% at a specific stage or the final stage, respectively) verified that root growth allocation with maximum root uptake area facilitated biomass accumulation. Furthermore, marker-assistant selection, which combined the "persistent" and "stage-specific" QTLs, proved their effectiveness for root improvement with an excellent uptake area. Our results highlight the potential of high-throughput and precise phenotyping to assess the dynamic genetics of root growth and provide new insights into ideotype root system-based biomass breeding.
Collapse
Affiliation(s)
- Jie 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, Wuhan, 430062, China
| | - Lieqiong Kuang
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, 430062, China
| | - Xinfa 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, Wuhan, 430062, China
| | - Guihua Liu
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, 430062, China
| | - Xiaoling Dun
- Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Wuhan, 430062, China.
| | - Hanzhong 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, Wuhan, 430062, China.
| |
Collapse
|
16
|
Shah S, Weinholdt C, Jedrusik N, Molina C, Zou J, Große I, Schiessl S, Jung C, Emrani N. Whole-transcriptome analysis reveals genetic factors underlying flowering time regulation in rapeseed (Brassica napus L.). PLANT, CELL & ENVIRONMENT 2018; 41:1935-1947. [PMID: 29813173 DOI: 10.1111/pce.13353] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 03/20/2018] [Accepted: 05/19/2018] [Indexed: 05/18/2023]
Abstract
Rapeseed (Brassica napus L.), one of the most important sources of vegetable oil and protein-rich meals worldwide, is adapted to different geographical regions by modification of flowering time. Rapeseed cultivars have different day length and vernalization requirements, which categorize them into winter, spring, and semiwinter ecotypes. To gain a deeper insight into genetic factors controlling floral transition in B. napus, we performed RNA sequencing (RNA-seq) in the semiwinter doubled haploid line, Ningyou7, at different developmental stages and temperature regimes. The expression profiles of more than 54,000 gene models were compared between different treatments and developmental stages, and the differentially expressed genes were considered as targets for association analysis and genetic mapping to confirm their role in floral transition. Consequently, 36 genes with association to flowering time, seed yield, or both were identified. We found novel indications for neofunctionalization in homologs of known flowering time regulators like VIN3 and FUL. Our study proved the potential of RNA-seq along with association analysis and genetic mapping to identify candidate genes for floral transition in rapeseed. The candidate genes identified in this study could be subjected to genetic modification or targeted mutagenesis and genotype building to breed rapeseed adapted to certain environments.
Collapse
Affiliation(s)
- Smit Shah
- Plant Breeding Institute, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Claus Weinholdt
- Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Nicole Jedrusik
- Plant Breeding Institute, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Carlos Molina
- Plant Breeding Institute, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Jun Zou
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Ivo Große
- Institute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Sarah Schiessl
- Department of Plant Breeding, IFZ Research Centre for Biosystems, Land Use and Nutrition, Justus Liebig University, Giessen, Germany
| | - Christian Jung
- Plant Breeding Institute, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Nazgol Emrani
- Plant Breeding Institute, Christian-Albrechts-University of Kiel, Kiel, Germany
| |
Collapse
|
17
|
Habib A, Powell JJ, Stiller J, Liu M, Shabala S, Zhou M, Gardiner DM, Liu C. A multiple near isogenic line (multi-NIL) RNA-seq approach to identify candidate genes underpinning QTL. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2018; 131:613-624. [PMID: 29170790 DOI: 10.1007/s00122-017-3023-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 11/17/2017] [Indexed: 05/22/2023]
Abstract
This study demonstrates how identification of genes underpinning disease-resistance QTL based on differential expression and SNPs can be improved by performing transcriptomic analysis on multiple near isogenic lines. Transcriptomic analysis has been widely used to understand the genetic basis of a trait of interest by comparing genotypes with contrasting phenotypes. However, these approaches identify such large sets of differentially expressed genes that it proves difficult to isolate which genes underpin the phenotype of interest. This study tests whether using multiple near isogenic lines (NILs) can improve the resolution of RNA-seq-based approaches to identify genes underpinning disease-resistance QTL. A set of NILs for a major effect Fusarium crown rot-resistance QTL in barley on the 4HL chromosome arm were analysed under Fusarium crown rot using RNA-seq. Differential gene expression and single nucleotide polymorphism detection analyses reduced the number of putative candidates from thousands within individual NIL pairs to only one hundred and two genes, which were differentially expressed or contained SNPs in common across NIL pairs and occurred on 4HL. Our findings support the value of performing RNA-seq analysis using multiple NILs to remove genetic background effects. The enrichment analyses indicated conserved differences in the response to infection between resistant and sensitive isolines suggesting that sensitive isolines are impaired in systemic defence response to Fusarium pseudograminearum.
Collapse
Affiliation(s)
- Ahsan Habib
- Commonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia
- School of Land and Food and Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Australia
- Biotechnology and Genetic Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh
| | - Jonathan J Powell
- Commonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia
| | - Jiri Stiller
- Commonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia
| | - Miao Liu
- Commonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia
| | - Sergey Shabala
- School of Land and Food and Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Australia
| | - Meixue Zhou
- School of Land and Food and Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Australia
| | - Donald M Gardiner
- Commonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia
| | - Chunji Liu
- Commonwealth Scientific and Industrial Research Organization Agriculture and Food, St Lucia, QLD, 4067, Australia.
| |
Collapse
|
18
|
Raboanatahiry N, Chao H, Dalin H, Pu S, Yan W, Yu L, Wang B, Li M. QTL Alignment for Seed Yield and Yield Related Traits in Brassica napus. FRONTIERS IN PLANT SCIENCE 2018; 9:1127. [PMID: 30116254 PMCID: PMC6083399 DOI: 10.3389/fpls.2018.01127] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 07/12/2018] [Indexed: 05/17/2023]
Abstract
Worldwide consumption of oil is increasing with the growing population in need for edible oil and the expansion of industry using biofuels. Then, demand for high yielding varieties of oil crops is always increasing. Brassica napus (rapeseed) is one of the most important oil crop in the world, therefore, increasing rapeseed yield through breeding is inevitable in order to cater for the high demand of vegetable oil and high-quality protein for live stocks. Quantitative trait loci (QTL) analysis is a powerful tool to identify important loci and which is also valuable for molecular marker assisted breeding. Seed-yield (SY) is a complex trait that is controlled by multiple loci and is affected directly by seed weight, seeds per silique and silique number. Some yield-related traits, such as plant height, biomass yield, flowering time, and so on, also affect the SY indirectly. This study reports the assembly of QTLs identified for seed-yield and yield-related traits in rapeseed, in one unique map. A total of 972 QTLs for seed-yield and yield-related were aligned into the physical map of B. napus Darmor-bzh and 92 regions where 198 QTLs overlapped, could be discovered on 16 chromosomes. Also, 147 potential candidate genes were discovered in 65 regions where 131 QTLs overlapped, and might affect nine different traits. At the end, interaction network of candidate genes was studied, and showed nine genes that could highly interact with the other genes, and might have more influence on them. The present results would be helpful to develop molecular markers for yield associated traits and could be used for breeding improvement in B. napus.
Collapse
Affiliation(s)
- Nadia Raboanatahiry
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Economic Forest Germplasm Improvement and Resources Comprehensive Utilization, Hubei Collaborative Innovation Center for the Characteristic Resources Exploitation of Dabie Mountains, Huanggang Normal University, Huanggang, China
| | - Hongbo Chao
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Economic Forest Germplasm Improvement and Resources Comprehensive Utilization, Hubei Collaborative Innovation Center for the Characteristic Resources Exploitation of Dabie Mountains, Huanggang Normal University, Huanggang, China
| | - Hou Dalin
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Economic Forest Germplasm Improvement and Resources Comprehensive Utilization, Hubei Collaborative Innovation Center for the Characteristic Resources Exploitation of Dabie Mountains, Huanggang Normal University, Huanggang, China
| | - Shi Pu
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Yan
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Longjiang Yu
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Baoshan Wang
- College of Life Sciences, Shandong Normal University, Jinan, China
| | - Maoteng Li
- Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
- Hubei Key Laboratory of Economic Forest Germplasm Improvement and Resources Comprehensive Utilization, Hubei Collaborative Innovation Center for the Characteristic Resources Exploitation of Dabie Mountains, Huanggang Normal University, Huanggang, China
- *Correspondence: Maoteng Li,
| |
Collapse
|