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Khanbo S, Somyong S, Phetchawang P, Wirojsirasak W, Ukoskit K, Klomsa-ard P, Pootakham W, Tangphatsornruang S. A SNP variation in the Sucrose synthase ( SoSUS) gene associated with sugar-related traits in sugarcane. PeerJ 2023; 11:e16667. [PMID: 38111652 PMCID: PMC10726748 DOI: 10.7717/peerj.16667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 11/21/2023] [Indexed: 12/20/2023] Open
Abstract
Background Sugarcane (Saccharum spp.) is an economically significant crop for both the sugar and biofuel industries. Breeding sugarcane cultivars with high-performance agronomic traits is the most effective approach for meeting the rising demand for sugar and biofuels. Molecular markers associated with relevant agronomic traits could drastically reduce the time and resources required to develop new sugarcane varieties. Previous sugarcane candidate gene association analyses have found single nucleotide polymorphism (SNP) markers associated with sugar-related traits. This study aims to validate these associated SNP markers of six genes, including Lesion simulating disease 1 (LSD), Calreticulin (CALR), Sucrose synthase 1 (SUS1), DEAD-box ATP-dependent RNA helicase (RH), KANADI1 (KAN1), and Sodium/hydrogen exchanger 7 (NHX7), in a diverse population in 2-year and two-location evaluations. Methods After genotyping of seven targeted SNP markers was performed by PCR Allelic Competitive Extension (PACE) SNP genotyping, the association with sugar-related traits and important cane yield component traits was determined on a set of 159 sugarcane genotypes. The marker-trait relationships were validated and identified by both t-test analysis and an association analysis based on the general linear model. Results The mSoSUS1_SNPCh10.T/C and mSoKAN1_SNPCh7.T/C markers that were designed from the SUS1 and KAN1 genes, respectively, showed significant associations with different amounts of sugar-related traits and yield components. The mSoSUS1_SNPCh10.T/C marker was found to have more significant association with sugar-related traits, including pol, CCS, brix, fiber and sugar yield, with p values of 6.08 × 10-6 to 4.35 × 10-2, as well as some cane yield component traits with p values of 1.61 × 10-4 to 3.35 × 10-2. The significant association is consistent across four environments. Conclusion Sucrose synthase (SUS) is considered a crucial enzyme involved in sucrose metabolism. This marker is a high potential functional marker that may be used in sugarcane breeding programs to select superior sugarcane with good fiber and high sugar contents.
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Affiliation(s)
- Supaporn Khanbo
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Suthasinee Somyong
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Phakamas Phetchawang
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | | | - Kittipat Ukoskit
- Department of Biotechnology, Faculty of Science and Technology, Thammasat University, Pathumtani, Thailand
| | - Peeraya Klomsa-ard
- Mitr Phol Innovation and Research Center, Phu Khiao, Chaiyaphum, Thailand
| | - Wirulda Pootakham
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Sithichoke Tangphatsornruang
- National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
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Chen Y, Wu H, Yang W, Zhao W, Tong C. Multivariate linear mixed model enhanced the power of identifying genome-wide association to poplar tree heights in a randomized complete block design. G3-GENES GENOMES GENETICS 2021; 11:6064171. [PMID: 33604666 PMCID: PMC8022933 DOI: 10.1093/g3journal/jkaa053] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 11/01/2020] [Indexed: 01/09/2023]
Abstract
With the advances in high-throughput sequencing technologies, it is not difficult to extract tens of thousands of single-nucleotide polymorphisms (SNPs) across many individuals in a fast and cheap way, making it possible to perform genome-wide association studies (GWAS) of quantitative traits in outbred forest trees. It is very valuable to apply traditional breeding experiments in GWAS for identifying genome variants associated with ecologically and economically important traits in Populus. Here, we reported a GWAS of tree height measured at multiple time points from a randomized complete block design (RCBD), which was established with clones from an F1 hybrid population of Populus deltoides and Populus simonii. A total of 22,670 SNPs across 172 clones in the RCBD were obtained with restriction site-associated DNA sequencing (RADseq) technology. The multivariate mixed linear model was applied by incorporating the pedigree relationship matrix of individuals to test the association of each SNP to the tree heights over 8 time points. Consequently, 41 SNPs were identified significantly associated with the tree height under the P-value threshold determined by Bonferroni correction at the significant level of 0.01. These SNPs were distributed on all but two chromosomes (Chr02 and Chr18) and explained the phenotypic variance ranged from 0.26% to 2.64%, amounting to 63.68% in total. Comparison with previous mapping studies for poplar height as well as the candidate genes of these detected SNPs were also investigated. We therefore showed that the application of multivariate linear mixed model to the longitudinal phenotypic data from the traditional breeding experimental design facilitated to identify far more genome-wide variants for tree height in poplar. The significant SNPs identified in this study would enhance understanding of molecular mechanism for growth traits and would accelerate marker-assisted breeding programs in Populus.
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Affiliation(s)
- Yuhua Chen
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China.,School of Animal Science and Technology, Jingling Institute of Technology, Nanjing 210038, China
| | - Hainan Wu
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Wenguo Yang
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Wei Zhao
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Chunfa Tong
- Key Laboratory of Forest Genetics & Biotechnology of Ministry of Education, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
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Chen S, Zhang Y, Zhao Y, Xu W, Li Y, Xie J, Zhang D. Key Genes and Genetic Interactions of Plant-Pathogen Functional Modules in Poplar Infected by Marssonina brunnea. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2020; 33:1080-1090. [PMID: 32392451 DOI: 10.1094/mpmi-11-19-0325-r] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
Marssonina brunnea, the causative pathogen of Marssonina leaf spot of poplars (MLSP), devastates poplar plantations by forming black spots on leaves and defoliating trees. Although MLSP has been studied for over 30 years, the key genes that function during M. brunnea infection and their effects on plant growth are poorly understood. Here, we used multigene association studies to investigate the effects of key genes in the plant-pathogen interaction pathway, as revealed by transcriptome analysis, on photosynthesis and growth in a natural population of 435 Populus tomentosa individuals. By analyzing transcriptomic changes during three stages of infection, we detected 628 transcription factor genes among the 7,611 differentially expressed genes that might be associated with basal defense responses. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses revealed that transcriptomic changes across different stages of infection lead to the reprogramming of metabolic processes possibly related to defense activation. We identified 29,399 common single-nucleotide polymorphisms (SNPs) within 221 full-length genes in plant-pathogen interaction pathways that were significantly associated with photosynthetic and growth traits. We also detected 4,460 significant epistatic pairs associated with stomatal conductance, tree diameter, and tree height. Epistasis analysis uncovered significant interactions between 2,561 SNP-SNP pairs from different functional modules in the plant-pathogen interaction pathway, revealing possible genetic interactions. This analysis revealed many key genes that function during M. brunnea infection and their potential roles in mediating photosynthesis and plant growth, shedding light on genetic interactions between functional modules in the plant-pathogen interaction pathway.
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Affiliation(s)
- Sisi Chen
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Yanfeng Zhang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Yiyang Zhao
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Weijie Xu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Yue Li
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Jianbo Xie
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
| | - Deiqiang Zhang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
- Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, No. 35, Qinghua East Road, Beijing 100083, P. R. China
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Characterization and Development of Genomic SSRs in Pecan (Carya illinoinensis). FORESTS 2020. [DOI: 10.3390/f11010061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Research Highlights: The distribution of simple sequence repeat (SSR) motifs in two draft genomes of pecan was evaluated. Sixty-six SSR loci were validated by PCR amplification in pecan. Twenty-two new development markers can be used for genetic study in genus Carya. Background and Objectives: Pecan has good nutritional and health benefits and is an important crop worldwide. However, the genetic research in this species is insufficient. One of the main reasons for this is the lack of enough accurate, convenient, and economical molecular markers. Among different marker types, SSR loci are enormously useful in genetic studies. However, the number of SSRs in C. illinoinensis (Wangenh.) K. Koch is limited. Materials and Methods: The distribution of SSR motifs in the pecan genome was analyzed. Then, the primers for each SSR were designed. To evaluate their availability, 74 SSR loci were randomly selected and amplified in pecan. Finally, 22 new SSRs and eight former ones were picked to evaluate the genetic diversity in 60 pecan genotypes and to determine their transferability in other Carya species. Results: 145,714 and 143,041 SSR motifs were obtained from two draft genomes of ‘87MX3-2’ and ‘Pawnee’, respectively. In total, 9145 candidate primers were obtained. Sixty-six (89.19%) primers amplified the target products. Among the 30 SSRs, 29 loci showed polymorphism in 60 pecan genotypes. The polymorphic information content (PIC) values ranged from 0.012 to 0.906. In total, 26, 25, and 22 SSRs can be used in C. cathayensis Sarg., C. dabieshanensis W. C. Cheng & R. H. Chang, and C. hunanensis W.C. Liu, respectively. Finally, the dendrogram of all individuals was constructed. The results agree with the geographic origin of the four species and the pedigree relationships between different pecan cultivars. Conclusions: The characterization of SSRs in the pecan genome and the new SSRs will promote the progress of genetic study and breeding in pecan, as well as other species of genus Carya.
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He Y, Zhang M, Zhou W, Ai L, You J, Liu H, You J, Wang H, Wassie M, Wang M, Li H. Transcriptome analysis reveals novel insights into the continuous cropping induced response in Codonopsis tangshen, a medicinal herb. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2019; 141:279-290. [PMID: 31202192 DOI: 10.1016/j.plaphy.2019.06.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 05/15/2019] [Accepted: 06/02/2019] [Indexed: 05/05/2023]
Abstract
Codonopsis tangshen Oliv. (C. tangshen Oliv.), a famous medicinal herb in China, is seriously affected by continuous cropping (C-cro). The physiological and biochemical results indicated that C-cro significantly affected the malonaldehyde (MDA) and chlorophyll content, as well as activities of catalase (CAT) and superoxide dismutase (SOD) when compared with the non-continuous cropping (NC-cro) group. Transcriptome profiling found 762 differentially expressed genes, including 430 up-regulated and 332 down-regulated genes by C-cro. In addition, pathway enrichment analysis revealed that genes related to 'Tyrosine degradation I', 'Glycogen synthesis' and 'Phenylalanine and tyrosine catabolism' were up-regulated, and genes associated with 'Signal transduction', 'Immune system', etc. were down-regulated by C-cro. The expression of target genes was further validated by Q-PCR. In this study, we demonstrated the effects of C-cro on C. tangshen at the transcriptome level, and found possible C-cro responsive candidate genes. These findings could be further beneficial for improving the continuous cropping tolerance.
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Affiliation(s)
- Yinsheng He
- College of Plant Sciences & Technology, Huazhong Agricultural University, Wuhan City, Hubei, 430070, PR China; Institute of Chinese Herbal Medicine, Hubei Academy of Agricultural Sciences, Enshi City, Hubei, 445000, PR China
| | - Meide Zhang
- Institute of Chinese Herbal Medicine, Hubei Academy of Agricultural Sciences, Enshi City, Hubei, 445000, PR China
| | - Wuxian Zhou
- Institute of Chinese Herbal Medicine, Hubei Academy of Agricultural Sciences, Enshi City, Hubei, 445000, PR China
| | - Lunqiang Ai
- Institute of Chinese Herbal Medicine, Hubei Academy of Agricultural Sciences, Enshi City, Hubei, 445000, PR China
| | - Jinwen You
- Institute of Chinese Herbal Medicine, Hubei Academy of Agricultural Sciences, Enshi City, Hubei, 445000, PR China
| | - Haihua Liu
- Institute of Chinese Herbal Medicine, Hubei Academy of Agricultural Sciences, Enshi City, Hubei, 445000, PR China
| | - Jingmao You
- Institute of Chinese Herbal Medicine, Hubei Academy of Agricultural Sciences, Enshi City, Hubei, 445000, PR China
| | - Hua Wang
- Institute of Chinese Herbal Medicine, Hubei Academy of Agricultural Sciences, Enshi City, Hubei, 445000, PR China
| | - Misganaw Wassie
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, The Chinese Academy of Sciences, Wuhan City, Hubei, 430074, PR China
| | - Mo Wang
- College of Plant Sciences & Technology, Huazhong Agricultural University, Wuhan City, Hubei, 430070, PR China.
| | - Huiying Li
- Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, The Chinese Academy of Sciences, Wuhan City, Hubei, 430074, PR China.
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Zhang C, Yao X, Ren H, Chang J, Wang K. RNA-Seq Reveals Flavonoid Biosynthesis-Related Genes in Pecan ( Carya illinoinensis) Kernels. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:148-158. [PMID: 30563335 DOI: 10.1021/acs.jafc.8b05239] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Pecan ( Carya illinoinensis) is an important tree nut throughout the world. The high concentration of flavonoid in its kernels makes it an excellent food with health benefits. However, the molecular basis of flavonoid biosynthesis in pecan remains unclear, which hinders quality breeding in this plant. Therefore, in order to find the crucial genes involved in flavonoid biosynthesis, the changes in flavonoid profiles and the transcriptomes of pecan kernels at four developmental stages (late water, gel, dough, and mature stages) were analyzed. As a result, the highest levels of total phenolic, condensed tannin, and flavan-3-ols were observed at the "late water stage". Catechin was the most abundant flavan-3-ol at different development stages. In total, 64 773 unigenes were obtained, and 46 924 (72.44%) unigenes were annotated. After differentially expressed gene (DEG) analysis, 12 750 unique DEGs were identified. Flavonoid-related DEGs of 36 structural genes and eight MYBs were obtained. The structural gene set contained three PALs, three CHSs, two CHIs, one F3H, two F3'Hs, two F3'5'Hs, one DFR, one ANS, two LARs, and two ANRs. The expression patterns of most of the structural genes were consistent with the changes in flavonoid profiles during kernel development. We believe that this RNA-Seq data set will provide valuable resources for unraveling the molecular mechanism of flavonoid metabolism in pecan and will significantly promote genetic studies and quality breeding in this plant.
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Affiliation(s)
- Chengcai Zhang
- Research Institute of Subtropical Forestry , Chinese Academy of Forestry , Fuyang District, Hangzhou , Zhejiang Province 311400 , China
| | - Xiaohua Yao
- Research Institute of Subtropical Forestry , Chinese Academy of Forestry , Fuyang District, Hangzhou , Zhejiang Province 311400 , China
| | - Huadong Ren
- Research Institute of Subtropical Forestry , Chinese Academy of Forestry , Fuyang District, Hangzhou , Zhejiang Province 311400 , China
| | - Jun Chang
- Research Institute of Subtropical Forestry , Chinese Academy of Forestry , Fuyang District, Hangzhou , Zhejiang Province 311400 , China
| | - Kailiang Wang
- Research Institute of Subtropical Forestry , Chinese Academy of Forestry , Fuyang District, Hangzhou , Zhejiang Province 311400 , China
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Lu N, Mei F, Wang Z, Wang N, Xiao Y, Kong L, Qu G, Ma W, Wang J. Single-nucleotide polymorphisms(SNPs) in a sucrose synthase gene are associated with wood properties in Catalpa fargesii bur. BMC Genet 2018; 19:99. [PMID: 30384853 PMCID: PMC6211571 DOI: 10.1186/s12863-018-0686-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 10/19/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Association study is a powerful means for identifying molecular markers, such as single-nucleotide polymorphisms (SNPs) associated with important traits in forest trees. Catalpa fargesii Bur is a valuable commercial tree in China and identifying SNPs that associate with wood property would make a foundation of the marker-assisted breeding in the future. However, related work has not been reported yet. RESULTS We cloned a 2887 bp long sucrose synthase (SUS) gene from the genome of C. fargesii, which is a key enzyme in sucrose metabolism and also associated to wood formation in trees, coding 806 amino acids that expressed mainly in young branches, xylem, and leaves according to real-time quantitative PCR. Then we identified allelic variations of CfSUS associated with nine wood quality associated traits in Catalpa fargesii Bur. Totally, 135 SNPs were identified through cloning and sequencing the CfSUS locus from a mapping population (including 93 unrelated individuals) and 47 of which were genotyped as common SNPs (minor allele frequency > 5%) in the association population that comprised of 125 unrelated individuals collected from main distribution area. Nucleotide diversity and linkage disequilibrium (LD) analysis showed CfSUS has a relative low SNP diversity (πT = 0.0034) and low LD (r2 dropped below 0.1 within 1600 bp). Using the association analysis, we found 11 common SNPs and 14 haplotypes were significantly associated with the traits (false discovery rate, Q<0.1), explaining 3.21-12.41% of the phenotypic variance. These results provide molecular markers above associated with wood basic density, pore rate, and six other traits of wood, which have potential applications in breeding of Catalpa fargesii Bur. CONCLUSION We first cloned a SUS gene in C. fargesii, then identified several SNPs and haplotypes that associated with wood properties within this gene, suggesting CfSUS participates in the wood formation of C. fargesii. Moreover, molecular markers we identified in this study may be applied into marker-assisted breeding of C. fargesii in the future.
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Affiliation(s)
- Nan Lu
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Fang Mei
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Zhi Wang
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Nan Wang
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Yao Xiao
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Lisheng Kong
- Department of Biology, Centre for Forest Biology, University of Victoria, 3800 Finnerty Road, Victoria, BC Canada
| | - Guanzheng Qu
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, 26 Hexing Road, Harbin, 150040 People’s Republic of China
| | - Wenjun Ma
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Junhui Wang
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
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Liu F, Tong C, Tao S, Wu J, Chen Y, Yao D, Li H, Shi J. MVQTLCIM: composite interval mapping of multivariate traits in a hybrid F 1 population of outbred species. BMC Bioinformatics 2017; 18:515. [PMID: 29169342 PMCID: PMC5701343 DOI: 10.1186/s12859-017-1908-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Accepted: 11/01/2017] [Indexed: 01/02/2023] Open
Abstract
Background With the plummeting cost of the next-generation sequencing technologies, high-density genetic linkage maps could be constructed in a forest hybrid F1 population. However, based on such genetic maps, quantitative trait loci (QTL) mapping cannot be directly conducted with traditional statistical methods or tools because the linkage phase and segregation pattern of molecular markers are not always fixed as in inbred lines. Results We implemented the traditional composite interval mapping (CIM) method to multivariate trait data in forest trees and developed the corresponding software, mvqtlcim. Our method not only incorporated the various segregations and linkage phases of molecular markers, but also applied Takeuchi’s information criterion (TIC) to discriminate the QTL segregation type among several possible alternatives. QTL mapping was performed in a hybrid F1 population of Populus deltoides and P. simonii, and 12 QTLs were detected for tree height over 6 time points. The software package allowed many options for parameters as well as parallel computing for permutation tests. The features of the software were demonstrated with the real data analysis and a large number of Monte Carlo simulations. Conclusions We provided a powerful tool for QTL mapping of multiple or longitudinal traits in an outbred F1 population, in which the traditional software for QTL mapping cannot be used. This tool will facilitate studying of QTL mapping and thus will accelerate molecular breeding programs especially in forest trees. The tool package is freely available from https://github.com/tongchf /mvqtlcim. Electronic supplementary material The online version of this article (10.1186/s12859-017-1908-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Fenxiang Liu
- The Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China.,College of Department of Computer Science and Engineering, Sanjiang University, Nanjing, 210012, China
| | - Chunfa Tong
- The Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China.
| | - Shentong Tao
- The Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China
| | - Jiyan Wu
- The Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China
| | - Yuhua Chen
- The Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China
| | - Dan Yao
- The Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China
| | - Huogen Li
- The Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China
| | - Jisen Shi
- The Southern Modern Forestry Collaborative Innovation Center, College of Forestry, Nanjing Forestry University, Nanjing, 210037, China
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