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Liu G, Fang Y, Liu X, Jiang J, Ding G, Wang Y, Zhao X, Xu X, Liu M, Wang Y, Yang C. Genome-wide association study and haplotype analysis reveal novel candidate genes for resistance to powdery mildew in soybean. Front Plant Sci 2024; 15:1369650. [PMID: 38628361 PMCID: PMC11019568 DOI: 10.3389/fpls.2024.1369650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 03/07/2024] [Indexed: 04/19/2024]
Abstract
Powdery mildew disease (PMD) is caused by the obligate biotrophic fungus Microsphaera diffusa Cooke & Peck (M. diffusa) and results in significant yield losses in soybean (Glycine max (L.) Merr.) crops. By identifying disease-resistant genes and breeding soybean accessions with enhanced resistance, we can effectively mitigate the detrimental impact of PMD on soybeans. We analyzed PMD resistance in a diversity panel of 315 soybean accessions in two locations over 3 years, and candidate genes associated with PMD resistance were identified through genome-wide association studies (GWAS), haplotype analysis, qRT-PCR, and EMS mutant analysis. Based on the GWAS approach, we identified a region on chromosome 16 (Chr16) in which 21 genes form a gene cluster that is highly correlated with PMD resistance. In order to validate and refine these findings, we conducted haplotype analysis of 21 candidate genes and indicated there are single nucleotide polymorphisms (SNPs) and insertion-deletions (InDels) variations of Glyma.16G214000, Glyma.16G214200, Glyma.16G215100 and Glyma.16G215300 within the coding and promoter regions that exhibit a strong association with resistance against PMD. Subsequent structural analysis of candidate genes within this cluster revealed that in 315 accessions, the majority of accessions exhibited resistance to PMD when Glyma.16G214300, Glyma.16G214800 and Glyma.16G215000 were complete; however, they demonstrated susceptibility to PMD when these genes were incomplete. Quantitative real-time PCR assays (qRT-PCR) of possible candidate genes showed that 14 candidate genes (Glyma.16G213700, Glyma.16G213800, Glyma.16G213900, Glyma.16G214000, Glyma.16G214200, Glyma.16G214300, Glyma.16G214500, Glyma.16G214585, Glyma.16G214669, Glyma.16G214700, Glyma.16G214800, Glyma.16G215000, Glyma.16G215100 and Glyma.16G215300) were involved in PMD resistance. Finally, we evaluated the PMD resistance of mutant lines from the Williams 82 EMS mutations library, which revealed that mutants of Glyma.16G214000, Glyma.16G214200, Glyma.16G214300, Glyma.16G214800, Glyma.16G215000, Glyma.16G215100 and Glyma.16G215300, exhibited sensitivity to PMD. Combined with the analysis results of GWAS, haplotypes, qRT-PCR and mutants, the genes Glyma.16G214000, Glyma.16G214200, Glyma.16G214300, Glyma.16G214800, Glyma.16G215000, Glyma.16G215100 and Glyma.16G215300 were identified as highly correlated with PMD resistance. The candidate genes identified above are all NLR family genes, and these discoveries deepen our understanding of the molecular basis of PMD resistance in soybeans and will be useful for guiding breeding strategies.
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Affiliation(s)
- Guoqiang Liu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, China
| | - Yuan Fang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
| | - Xueling Liu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, China
| | - Jiacan Jiang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, China
| | - Guangquan Ding
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, China
| | - Yongzhen Wang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, China
| | - Xueqian Zhao
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, China
| | - Xiaomin Xu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, China
| | - Mengshi Liu
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, China
| | - Yingxiang Wang
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China
- Guangdong Provincial Key Laboratory of Protein Function and Regulation in Agricultural Organisms, College of Life Sciences, South China Agricultural University, Guangzhou, China
| | - Cunyi Yang
- Guangdong Provincial Key Laboratory of Plant Molecular Breeding, College of Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory for Enhancing Resource Use Efficiency of Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, China
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Zhang X, Huang D, Jia X, Zou Z, Wang Y, Zhang Z. Functional analysis of the promoter of the molt-inhibiting hormone (mih) gene in mud crab Scylla paramamosain. Gen Comp Endocrinol 2018; 259:131-140. [PMID: 29170022 DOI: 10.1016/j.ygcen.2017.11.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 10/15/2017] [Accepted: 11/18/2017] [Indexed: 11/24/2022]
Abstract
In this study, the 5'-flanking region of molt-inhibiting hormone (MIH) gene was cloned by Tail-PCR. It is 2024 bp starting from the translation initiation site, and 1818 bp starting from the predicted transcription start site. Forecast analysis results by the bioinformatics software showed that the transcription start site is located at 207 bp upstream of the start codon ATG, and TATA box is located at 240 bp upstream of the start codon ATG. Potential transcription factor binding sites include Sp1, NF-1, Oct-1, Sox-2, RAP1, and so on. There are two CpG islands, located at -25- +183 bp and -1451- -1316 bp respectively. The transfection results of luciferase reporter constructs showed that the core promoter region was located in the fragment -308 bp to -26 bp. NF-kappaB and RAP1 were essential for mih basal transcriptional activity. There are three kinds of polymorphism CA in the 5'-flanking sequence, and they can influence mih promoter activity. These findings provide a genetic foundation of the further research of mih transcription regulation.
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Affiliation(s)
- Xin Zhang
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Danping Huang
- Fisheries College, Jimei University, Xiamen 361021, China
| | - Xiwei Jia
- Fisheries College, Jimei University, Xiamen 361021, China
| | - Zhihua Zou
- Fisheries College, Jimei University, Xiamen 361021, China
| | - Yilei Wang
- Fisheries College, Jimei University, Xiamen 361021, China.
| | - Ziping Zhang
- College of Animal Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
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Ambreen H, Kumar S, Kumar A, Agarwal M, Jagannath A, Goel S. Association Mapping for Important Agronomic Traits in Safflower ( Carthamus tinctorius L.) Core Collection Using Microsatellite Markers. Front Plant Sci 2018; 9:402. [PMID: 29651296 PMCID: PMC5885069 DOI: 10.3389/fpls.2018.00402] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Accepted: 03/13/2018] [Indexed: 05/27/2023]
Abstract
Carthamus tinctorius L. (safflower) is an important oilseed crop producing seed oil rich in unsaturated fatty acids. Scarcity of identified marker-trait associations is a major limitation toward development of successful marker-assisted breeding programs in safflower. In the present study, a safflower panel (CartAP) comprising 124 accessions derived from two core collections was assayed for its suitability for association mapping. Genotyping of CartAP using microsatellite markers revealed significant genetic diversity indicated by Shannon information index (H = 0.7537) and Nei's expected heterozygosity (I = 0.4432). In Principal Coordinate Analysis, the CartAP accessions were distributed homogeneously in all quadrants indicating their diverse nature. Distance-based Neighbor Joining analysis did not delineate the CartAP accessions in consonance with their geographical origin. Bayesian analysis of population structure of CartAP demonstrated the unstructured nature of the association panel. Kinship analysis at population (Gij ) and individual level (Fij ) revealed absence of or weak relatedness between the CartAP accessions. The above parameters established the suitability of CartAP for association mapping. We performed association mapping using phenotypic data for eight traits of agronomic value (viz., seed oil content, oleic acid, linoleic acid, plant height, number of primary branches, number of capitula per plant, 100-seed weight and days to 50% flowering) available for two growing seasons (2011-2012 and 2012-2013) through General Linear Model and Mixed Linear Model. Our study identified ninety-six significant marker-trait associations (MTAs; P < 0.05) of which, several MTAs with correlation coefficient (R2) > 10% were consistently represented in both models and in both seasons for traits viz., oil content, oleic acid content, linoleic acid content and number of primary branches. Several MTAs with high R2-values were detected either in a majority or in some environments (models and/or seasons). Many MTAs were also common between traits (viz., oleic/linoleic acid content; plant height/days to 50% flowering; number of primary branches/number of capitula per plant) that showed positive or negative correlation in their phenotypic values. The marker-trait associations identified in this study will facilitate marker-assisted breeding and identification of genetic determinants of trait variability.
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Ambreen H, Kumar S, Variath MT, Joshi G, Bali S, Agarwal M, Kumar A, Jagannath A, Goel S. Development of Genomic Microsatellite Markers in Carthamus tinctorius L. (Safflower) Using Next Generation Sequencing and Assessment of Their Cross-Species Transferability and Utility for Diversity Analysis. PLoS One 2015; 10:e0135443. [PMID: 26287743 PMCID: PMC4545945 DOI: 10.1371/journal.pone.0135443] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2015] [Accepted: 07/23/2015] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Safflower (Carthamus tinctorius L.), an Asteraceae member, yields high quality edible oil rich in unsaturated fatty acids and is resilient to dry conditions. The crop holds tremendous potential for improvement through concerted molecular breeding programs due to the availability of significant genetic and phenotypic diversity. Genomic resources that could facilitate such breeding programs remain largely underdeveloped in the crop. The present study was initiated to develop a large set of novel microsatellite markers for safflower using next generation sequencing. PRINCIPAL FINDINGS Low throughput genome sequencing of safflower was performed using Illumina paired end technology providing ~3.5X coverage of the genome. Analysis of sequencing data allowed identification of 23,067 regions harboring perfect microsatellite loci. The safflower genome was found to be rich in dinucleotide repeats followed by tri-, tetra-, penta- and hexa-nucleotides. Primer pairs were designed for 5,716 novel microsatellite sequences with repeat length ≥ 20 bases and optimal flanking regions. A subset of 325 microsatellite loci was tested for amplification, of which 294 loci produced robust amplification. The validated primers were used for assessment of 23 safflower accessions belonging to diverse agro-climatic zones of the world leading to identification of 93 polymorphic primers (31.6%). The numbers of observed alleles at each locus ranged from two to four and mean polymorphism information content was found to be 0.3075. The polymorphic primers were tested for cross-species transferability on nine wild relatives of cultivated safflower. All primers except one showed amplification in at least two wild species while 25 primers amplified across all the nine species. The UPGMA dendrogram clustered C. tinctorius accessions and wild species separately into two major groups. The proposed progenitor species of safflower, C. oxyacantha and C. palaestinus were genetically closer to cultivated safflower and formed a distinct cluster. The cluster analysis also distinguished diploid and tetraploid wild species of safflower. CONCLUSION Next generation sequencing of safflower genome generated a large set of microsatellite markers. The novel markers developed in this study will add to the existing repertoire of markers and can be used for diversity analysis, synteny studies, construction of linkage maps and marker-assisted selection.
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Affiliation(s)
- Heena Ambreen
- Department of Botany, University of Delhi, Delhi, 110007, India
| | - Shivendra Kumar
- Department of Botany, University of Delhi, Delhi, 110007, India
| | | | - Gopal Joshi
- Department of Botany, University of Delhi, Delhi, 110007, India
| | - Sapinder Bali
- Department of Botany, University of Delhi, Delhi, 110007, India
| | - Manu Agarwal
- Department of Botany, University of Delhi, Delhi, 110007, India
| | - Amar Kumar
- Department of Botany, University of Delhi, Delhi, 110007, India
| | - Arun Jagannath
- Department of Botany, University of Delhi, Delhi, 110007, India
- * E-mail: (SG); (AJ)
| | - Shailendra Goel
- Department of Botany, University of Delhi, Delhi, 110007, India
- * E-mail: (SG); (AJ)
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Demeke T, Ratnayaka I, Holigroski M, Phan A. Assessment of DNA extraction methods for PCR testing of discontinued or unapproved biotech events in single seeds of canola, flax and soybean. Food Control 2012. [DOI: 10.1016/j.foodcont.2011.09.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Pasqualone A, Alba V, Mangini G, Blanco A, Montemurro C. Durum wheat cultivar traceability in PDO Altamura bread by analysis of DNA microsatellites. Eur Food Res Technol 2010. [DOI: 10.1007/s00217-009-1210-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Abstract
AbstractThe hybrid purity of melon (Cucumis melo L.) was tested by polymerase chain reaction (PCR) assay based on simple sequence repeat (SSR) markers in two F1 melon hybrids (‘Dongfangmi 1’ and ‘Dongfangmi 2’) and their parental lines. Twelve pairs of SSR primers for ‘Dongfangmi 1’ and three pairs for ‘Dongfangmi 2’ were selected. Results showed that self-inbred seeds were effectively distinguished from F1 hybrid seeds using these SSR primers, a finding that was consistent with the results recorded from field tests. ‘Dongfangmi 1’ and ‘Dongfangmi 2’ were identified from their parental lines, and seven other uterine hybrid lines by multiplex primers MS48+MS60 and MS4+MS20, respectively. Contamination of F1 hybrid seeds caused by self-inbred and other unknown pollens can be effectively and more reliably detected by PCR assays with multiplex SSR primers.
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Abstract
As adulterated and substituted Chinese medicinal materials are common in the market, therapeutic effectiveness of such materials cannot be guaranteed. Identification at species-, strain- and locality-levels, therefore, is required for quality assurance/control of Chinese medicine. This review provides an informative introduction to DNA methods for authentication of Chinese medicinal materials. Technical features and examples of the methods based on sequencing, hybridization and polymerase chain reaction (PCR) are described and their suitability for different identification objectives is discussed.
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Affiliation(s)
- Pui Ying Yip
- Department of Biology, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Chi Fai Chau
- Department of Food Science and Biotechnology, National Chung Hsing University, 250 Kuokuang Road, Taichung 40227, Taiwan
| | - Chun Yin Mak
- Department of Biology, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Hoi Shan Kwan
- Department of Biology, The Chinese University of Hong Kong, Shatin, Hong Kong
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Wang F, Zhao J, Dai J, Yi H, Kuang M, Sun Y, Yu X, Guo J, Wang L. Selection and development of representative simple sequence repeat primers and multiplex SSR sets for high throughput automated genotyping in maize. CHINESE SCI BULL 2007; 52:215-223. [DOI: 10.1007/s11434-007-0038-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Terzi V, Morcia C, Gorrini A, Stanca AM, Shewry PR, Faccioli P. DNA-based methods for identification and quantification of small grain cereal mixtures and fingerprinting of varieties. J Cereal Sci 2005. [DOI: 10.1016/j.jcs.2004.08.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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Soleimani VD, Baum BR, Johnson DA. Genetic diversity among barley cultivars assessed by sequence-specific amplification polymorphism. Theor Appl Genet 2005; 110:1290-1300. [PMID: 15803291 DOI: 10.1007/s00122-005-1966-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2004] [Accepted: 02/14/2005] [Indexed: 05/24/2023]
Abstract
We analyzed the genetic structure and relationships among barley cultivars (Hordeum vulgare L.) with sequence-specific amplification polymorphisms (S-SAPs). Polymorphisms were identified in 824 individual barley plants representing 103 cultivars (eight plants per cultivar) widely grown in Canada and the United States, using PCR primers designed from the long terminal repeat of the barley retrotransposon BARE-1 and a subset of four selective MseI primers. From the 404 bands scored, 150 were polymorphic either within or between cultivars. Genetic structure assessed with analysis of molecular variance attributed the largest component of variation to the within groups of cultivars (69-86%). Within-cultivar genetic variation was estimated as average gene diversity over loci and ranged from 0 (completely homogenous) to 0.076 (most heterogeneous cultivar). Only 17 out of 103 cultivars (16%) were judged to be homogenous by this criterion. Relationships among cultivars were analyzed by cluster analysis using unweighted pair-groups using arithmetic averages and found groups similar to those determined by agriculturally significant phenotypic traits such as spike morphology (two-rowed or six-rowed), cultivar type (malting or feed), seed characteristic (hull-less or hulled), and growth habit (winter or spring), with minor overlaps. Discriminant analysis of groups determined by these phenotypic traits fully supported the different groups with minor overlaps between the malting/feed. S-SAP markers generated from retrotransposons such as BARE-1 are invaluable tools for the study of genetic diversity in organisms with a narrow genetic base such as barley. In this study, S-SAP analysis revealed significant amounts of cryptic variation in closely related cultivars including somaclonal variation, which could not be inferred by the pedigree analysis.
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Affiliation(s)
- V D Soleimani
- Agriculture and Agri-Food Canada, K. W. Neatby Building, 960 Carling Avenue, Ottawa, ON, K1A 0C6, Canada
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