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He L, Sui Y, Che Y, Wang H, Rashid KY, Cloutier S, You FM. Genome-wide association studies using multi-models and multi-SNP datasets provide new insights into pasmo resistance in flax. FRONTIERS IN PLANT SCIENCE 2023; 14:1229457. [PMID: 37954993 PMCID: PMC10634603 DOI: 10.3389/fpls.2023.1229457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 07/24/2023] [Indexed: 11/14/2023]
Abstract
Introduction Flax (Linum usitatissimum L.) is an economically important crop due to its oil and fiber. However, it is prone to various diseases, including pasmo caused by the fungus Septoria linicola. Methods In this study, we conducted field evaluations of 445 flax accessions over a five-year period (2012-2016) to assess their resistance to pasmo A total of 246,035 single nucleotide polymorphisms (SNPs) were used for genetic analysis. Four statistical models, including the single-locus model GEMMA and the multi-locus models FarmCPU, mrMLM, and 3VmrMLM, were assessed to identify quantitative trait nucleotides (QTNs) associated with pasmo resistance. Results We identified 372 significant QTNs or 132 tag QTNs associated with pasmo resistance from five pasmo resistance datasets (PAS2012-PAS2016 and the 5-year average, namely PASmean) and three genotypic datasets (the all SNPs/ALL, the gene-based SNPs/GB and the RGA-based SNPs/RGAB). The tag QTNs had R2 values of 0.66-16.98% from the ALL SNP dataset, 0.68-20.54%from the GB SNP dataset, and 0.52-22.42% from the RGAB SNP dataset. Of these tag QTNs, 93 were novel. Additionally, 37 resistance gene analogs (RGAs)co-localizing with 39 tag QTNs were considered as potential candidates for controlling pasmo resistance in flax and 50 QTN-by-environment interactions(QEIs) were identified to account for genes by environmental interactions. Nine RGAs were predicted as candidate genes for ten QEIs. Discussion Our results suggest that pasmo resistance in flax is polygenic and potentially influenced by environmental factors. The identified QTNs provide potential targets for improving pasmo resistance in flax breeding programs. This study sheds light on the genetic basis of pasmo resistance and highlights the importance of considering both genetic and environmental factors in breeding programs for flax.
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Affiliation(s)
- Liqiang He
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
- School of Tropical Agriculture and Forestry, School of Tropical Crops, Hainan University, Haikou, China
| | - Yao Sui
- School of Tropical Agriculture and Forestry, School of Tropical Crops, Hainan University, Haikou, China
| | - Yanru Che
- School of Tropical Agriculture and Forestry, School of Tropical Crops, Hainan University, Haikou, China
| | - Huixian Wang
- School of Tropical Agriculture and Forestry, School of Tropical Crops, Hainan University, Haikou, China
| | - Khalid Y. Rashid
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Sylvie Cloutier
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Frank M. You
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
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Saroha A, Gomashe SS, Kaur V, Pal D, Ujjainwal S, Aravind J, Singh M, Rajkumar S, Singh K, Kumar A, Wankhede DP. Genetic dissection of thousand-seed weight in linseed ( Linum usitatissimum L.) using multi-locus genome-wide association study. FRONTIERS IN PLANT SCIENCE 2023; 14:1166728. [PMID: 37332700 PMCID: PMC10272591 DOI: 10.3389/fpls.2023.1166728] [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: 02/15/2023] [Accepted: 05/08/2023] [Indexed: 06/20/2023]
Abstract
Flaxseed/linseed is an important oilseed crop having applications in the food, nutraceutical, and paint industry. Seed weight is one of the most crucial determinants of seed yield in linseed. Here, quantitative trait nucleotides (QTNs) associated with thousand-seed weight (TSW) have been identified using multi-locus genome-wide association study (ML-GWAS). Field evaluation was carried out in five environments in multi-year-location trials. SNP genotyping information of the AM panel of 131 accessions comprising 68,925 SNPs was employed for ML-GWAS. From the six ML-GWAS methods employed, five methods helped identify a total of 84 unique significant QTNs for TSW. QTNs identified in ≥ 2 methods/environments were designated as stable QTNs. Accordingly, 30 stable QTNs have been identified for TSW accounting up to 38.65% trait variation. Alleles with positive effect on trait were analyzed for 12 strong QTNs with r 2 ≥ 10.00%, which showed significant association of specific alleles with higher trait value in three or more environments. A total of 23 candidate genes have been identified for TSW, which included B3 domain-containing transcription factor, SUMO-activating enzyme, protein SCARECROW, shaggy-related protein kinase/BIN2, ANTIAUXIN-RESISTANT 3, RING-type E3 ubiquitin transferase E4, auxin response factors, WRKY transcription factor, and CBS domain-containing protein. In silico expression analysis of candidate genes was performed to validate their possible role in different stages of seed development process. The results from this study provide significant insight and elevate our understanding on genetic architecture of TSW trait in linseed.
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Affiliation(s)
- Ankit Saroha
- Division of Genomic Resources, Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sunil S. Gomashe
- ICAR-National Bureau of Plant Genetic Resources, Regional Station Akola, Maharashtra, India
| | - Vikender Kaur
- Division of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Deepa Pal
- Division of Genomic Resources, Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Shraddha Ujjainwal
- Division of Genomic Resources, Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
| | - J. Aravind
- Division of Germplasm Conservation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Mamta Singh
- Division of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - S. Rajkumar
- Division of Genomic Resources, Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Kuldeep Singh
- ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Ashok Kumar
- Division of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Dhammaprakash Pandhari Wankhede
- Division of Genomic Resources, Indian Council of Agricultural Research (ICAR)-National Bureau of Plant Genetic Resources, New Delhi, India
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Kaur V, Singh M, Wankhede DP, Gupta K, Langyan S, Aravind J, Thangavel B, Yadav SK, Kalia S, Singh K, Kumar A. Diversity of Linum genetic resources in global genebanks: from agro-morphological characterisation to novel genomic technologies - a review. Front Nutr 2023; 10:1165580. [PMID: 37324736 PMCID: PMC10267467 DOI: 10.3389/fnut.2023.1165580] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 04/27/2023] [Indexed: 06/17/2023] Open
Abstract
Linseed or flaxseed is a well-recognized nutritional food with nutraceutical properties owing to high omega-3 fatty acid (α-Linolenic acid), dietary fiber, quality protein, and lignan content. Currently, linseed enjoys the status of a 'superfood' and its integration in the food chain as a functional food is evolving continuously as seed constituents are associated with lowering the risk of chronic ailments, such as heart diseases, cancer, diabetes, and rheumatoid arthritis. This crop also receives much attention in the handloom and textile sectors as the world's coolest fabric linen is made up of its stem fibers which are endowed with unique qualities such as luster, tensile strength, density, bio-degradability, and non-hazardous nature. Worldwide, major linseed growing areas are facing erratic rainfall and temperature patterns affecting flax yield, quality, and response to biotic stresses. Amid such changing climatic regimes and associated future threats, diverse linseed genetic resources would be crucial for developing cultivars with a broad genetic base for sustainable production. Furthermore, linseed is grown across the world in varied agro-climatic conditions; therefore it is vital to develop niche-specific cultivars to cater to diverse needs and keep pace with rising demands globally. Linseed genetic diversity conserved in global genebanks in the form of germplasm collection from natural diversity rich areas is expected to harbor genetic variants and thus form crucial resources for breeding tailored crops to specific culinary and industrial uses. Global genebank collections thus potentially play an important role in supporting sustainable agriculture and food security. Currently, approximately 61,000 germplasm accessions of linseed including 1,127 wild accessions are conserved in genebanks/institutes worldwide. This review analyzes the current status of Linum genetic resources in global genebanks, evaluation for agro-morphological traits, stress tolerance, and nutritional profiling to promote their effective use for sustainable production and nutrition enhancement in our modern diets.
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Affiliation(s)
- Vikender Kaur
- Division of Germplasm Evaluation, Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Mamta Singh
- Division of Germplasm Evaluation, Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Dhammaprakash Pandhari Wankhede
- Division of Germplasm Evaluation, Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Kavita Gupta
- Division of Germplasm Evaluation, Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sapna Langyan
- Division of Germplasm Evaluation, Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Jayaraman Aravind
- Division of Germplasm Evaluation, Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Boopathi Thangavel
- Division of Germplasm Evaluation, Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Shashank Kumar Yadav
- Division of Germplasm Evaluation, Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sanjay Kalia
- Department of Biotechnology, Ministry of Science and Technology, Government of India, New Delhi, India
| | - Kuldeep Singh
- Division of Germplasm Evaluation, Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Ashok Kumar
- Division of Germplasm Evaluation, Indian Council of Agricultural Research-National Bureau of Plant Genetic Resources, New Delhi, India
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Kanapin A, Rozhmina T, Bankin M, Surkova S, Duk M, Osyagina E, Samsonova M. Genetic Determinants of Fiber-Associated Traits in Flax Identified by Omics Data Integration. Int J Mol Sci 2022; 23:ijms232314536. [PMID: 36498863 PMCID: PMC9738745 DOI: 10.3390/ijms232314536] [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: 09/27/2022] [Revised: 11/10/2022] [Accepted: 11/15/2022] [Indexed: 11/23/2022] Open
Abstract
In this paper, we explore potential genetic factors in control of flax phenotypes associated with fiber by mining a collection of 306 flax accessions from the Federal Research Centre of the Bast Fiber Crops, Torzhok, Russia. In total, 11 traits were assessed in the course of 3 successive years. A genome-wide association study was performed for each phenotype independently using six different single-locus models implemented in the GAPIT3 R package. Moreover, we applied a multivariate linear mixed model implemented in the GEMMA package to account for trait correlations and potential pleiotropic effects of polymorphisms. The analyses revealed a number of genomic variants associated with different fiber traits, implying the complex and polygenic control. All stable variants demonstrate a statistically significant allelic effect across all 3 years of the experiment. We tested the validity of the predicted variants using gene expression data available for the flax fiber studies. The results shed new light on the processes and pathways associated with the complex fiber traits, while the pinpointed candidate genes may be further used for marker-assisted selection.
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Affiliation(s)
- Alexander Kanapin
- Centre for Computational Biology, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Tatyana Rozhmina
- Laboratory of Breeding Technologies, Federal Research Center for Bast Fiber Crops, 172002 Torzhok, Russia
| | - Mikhail Bankin
- Mathematical Biology & Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Svetlana Surkova
- Mathematical Biology & Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Maria Duk
- Mathematical Biology & Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
- Theoretical Department, Ioffe Institute, 194021 St. Petersburg, Russia
| | - Ekaterina Osyagina
- Mathematical Biology & Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
| | - Maria Samsonova
- Mathematical Biology & Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia
- Correspondence: ; Tel.: +7-812-290-9645
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Yadav B, Kaur V, Narayan OP, Yadav SK, Kumar A, Wankhede DP. Integrated omics approaches for flax improvement under abiotic and biotic stress: Current status and future prospects. FRONTIERS IN PLANT SCIENCE 2022; 13:931275. [PMID: 35958216 PMCID: PMC9358615 DOI: 10.3389/fpls.2022.931275] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/27/2022] [Indexed: 05/03/2023]
Abstract
Flax (Linum usitatissimum L.) or linseed is one of the important industrial crops grown all over the world for seed oil and fiber. Besides oil and fiber, flax offers a wide range of nutritional and therapeutic applications as a feed and food source owing to high amount of α-linolenic acid (omega-3 fatty acid), lignans, protein, minerals, and vitamins. Periodic losses caused by unpredictable environmental stresses such as drought, heat, salinity-alkalinity, and diseases pose a threat to meet the rising market demand. Furthermore, these abiotic and biotic stressors have a negative impact on biological diversity and quality of oil/fiber. Therefore, understanding the interaction of genetic and environmental factors in stress tolerance mechanism and identification of underlying genes for economically important traits is critical for flax improvement and sustainability. In recent technological era, numerous omics techniques such as genomics, transcriptomics, metabolomics, proteomics, phenomics, and ionomics have evolved. The advancements in sequencing technologies accelerated development of genomic resources which facilitated finer genetic mapping, quantitative trait loci (QTL) mapping, genome-wide association studies (GWAS), and genomic selection in major cereal and oilseed crops including flax. Extensive studies in the area of genomics and transcriptomics have been conducted post flax genome sequencing. Interestingly, research has been focused more for abiotic stresses tolerance compared to disease resistance in flax through transcriptomics, while the other areas of omics such as metabolomics, proteomics, ionomics, and phenomics are in the initial stages in flax and several key questions remain unanswered. Little has been explored in the integration of omic-scale data to explain complex genetic, physiological and biochemical basis of stress tolerance in flax. In this review, the current status of various omics approaches for elucidation of molecular pathways underlying abiotic and biotic stress tolerance in flax have been presented and the importance of integrated omics technologies in future research and breeding have been emphasized to ensure sustainable yield in challenging environments.
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Affiliation(s)
- Bindu Yadav
- Division of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Vikender Kaur
- Division of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Om Prakash Narayan
- College of Arts and Sciences, University of Florida, Gainesville, FL, United States
| | - Shashank Kumar Yadav
- Division of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
| | - Ashok Kumar
- Division of Germplasm Evaluation, ICAR-National Bureau of Plant Genetic Resources, New Delhi, India
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Jia B, Conner RL, Penner WC, Zheng C, Cloutier S, Hou A, Xia X, You FM. Quantitative Trait Locus Mapping of Marsh Spot Disease Resistance in Cranberry Common Bean (Phaseolus vulgaris L.). Int J Mol Sci 2022; 23:ijms23147639. [PMID: 35886986 PMCID: PMC9324509 DOI: 10.3390/ijms23147639] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 07/01/2022] [Accepted: 07/07/2022] [Indexed: 02/01/2023] Open
Abstract
Common bean (Phaseolus vulgaris L.) is a food crop that is an important source of dietary proteins and carbohydrates. Marsh spot is a physiological disorder that diminishes seed quality in beans. Prior research suggested that this disease is likely caused by manganese (Mn) deficiency during seed development and that marsh spot resistance is controlled by at least four genes. In this study, genetic mapping was performed to identify quantitative trait loci (QTL) and the potential candidate genes associated with marsh spot resistance. All 138 recombinant inbred lines (RILs) from a bi-parental population were evaluated for marsh spot resistance during five years from 2015 to 2019 in sandy and heavy clay soils in Morden, Manitoba, Canada. The RILs were sequenced using a genotyping by sequencing approach. A total of 52,676 single nucleotide polymorphisms (SNPs) were identified and filtered to generate a high-quality set of 2066 SNPs for QTL mapping. A genetic map based on 1273 SNP markers distributed on 11 chromosomes and covering 1599 cm was constructed. A total of 12 stable and 4 environment-specific QTL were identified using additive effect models, and an additional two epistatic QTL interacting with two of the 16 QTL were identified using an epistasis model. Genome-wide scans of the candidate genes identified 13 metal transport-related candidate genes co-locating within six QTL regions. In particular, two QTL (QTL.3.1 and QTL.3.2) with the highest R2 values (21.8% and 24.5%, respectively) harbored several metal transport genes Phvul.003G086300, Phvul.003G092500, Phvul.003G104900, Phvul.003G099700, and Phvul.003G108900 in a large genomic region of 16.8–27.5 Mb on chromosome 3. These results advance the current understanding of the genetic mechanisms of marsh spot resistance in cranberry common bean and provide new genomic resources for use in genomics-assisted breeding and for candidate gene isolation and functional characterization.
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Affiliation(s)
- Bosen Jia
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (B.J.); (C.Z.); (S.C.)
- Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa, ON K1N 6N5, Canada;
| | - Robert L. Conner
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB R6M 1Y5, Canada; (R.L.C.); (W.C.P.)
| | - Waldo C. Penner
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB R6M 1Y5, Canada; (R.L.C.); (W.C.P.)
| | - Chunfang Zheng
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (B.J.); (C.Z.); (S.C.)
| | - Sylvie Cloutier
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (B.J.); (C.Z.); (S.C.)
| | - Anfu Hou
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB R6M 1Y5, Canada; (R.L.C.); (W.C.P.)
- Correspondence: (A.H.); (F.M.Y.); Tel.: +1-204-822-7528 (A.H.); +1-613-759-1539 (F.M.Y.)
| | - Xuhua Xia
- Department of Biology, University of Ottawa, 30 Marie Curie, Ottawa, ON K1N 6N5, Canada;
| | - Frank M. You
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (B.J.); (C.Z.); (S.C.)
- Correspondence: (A.H.); (F.M.Y.); Tel.: +1-204-822-7528 (A.H.); +1-613-759-1539 (F.M.Y.)
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Duk M, Kanapin A, Samsonova A, Rozhmina T, Samsonova M. Analysis of Structural Variation in Flax (Linum usitatissimum L.) Genomes. Biophysics (Nagoya-shi) 2022. [DOI: 10.1134/s0006350922020038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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Li X, Guo D, Xue M, Li G, Yan Q, Jiang H, Liu H, Chen J, Gao Y, Duan L, Xie L. Genome-Wide Association Study of Salt Tolerance at the Seed Germination Stage in Flax (Linum usitatissimum L.). Genes (Basel) 2022; 13:genes13030486. [PMID: 35328040 PMCID: PMC8949523 DOI: 10.3390/genes13030486] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/03/2022] [Accepted: 03/05/2022] [Indexed: 02/04/2023] Open
Abstract
Soil salinization seriously affects the growth and distribution of flax. However, there is little information about the salt tolerance of flax. In this study, the salt tolerance of 200 diverse flax accessions during the germination stage was evaluated, and then the Genome-wide Association Study (GWAS) was carried out based on the relative germination rate (RGR), relative shoot length (RSL) and relative root length (RRL), whereby quantitative trait loci (QTLs) related to salt tolerance were identified. The results showed that oil flax had a better salt tolerance than fiber flax. A total of 902 single nucleotide polymorphisms (SNPs) were identified on 15 chromosomes. These SNPs were integrated into 64 QTLs, explaining 14.48 to 29.38% (R2) of the phenotypic variation. In addition, 268 candidate genes were screened by combining previous transcriptome data and homologous gene annotation. Among them, Lus10033213 is a single-point SNP repeat mapping gene, which encodes a Glutathione S-transferase (GST). This study is the first to use GWAS to excavate genes related to salt tolerance during the germination stage of flax. The results of this study provide important information for studying the genetic mechanism of salt tolerance of flax, and also provide the possibility to improve the salt tolerance of flax.
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Duk M, Kanapin A, Rozhmina T, Bankin M, Surkova S, Samsonova A, Samsonova M. The Genetic Landscape of Fiber Flax. FRONTIERS IN PLANT SCIENCE 2021; 12:764612. [PMID: 34950165 PMCID: PMC8691122 DOI: 10.3389/fpls.2021.764612] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/03/2021] [Indexed: 06/14/2023]
Abstract
Genetic diversity in a breeding program is essential to overcome modern-day environmental challenges faced by humanity and produce robust, resilient crop cultivars with improved agronomic characteristics, as well as to trace crop domestication history. Flax (Linum usitatissimum), one of the first crops domesticated by mankind, has been traditionally cultivated for fiber as well as for medicinal purposes and as a nutritional product. The origins of fiber flax are hidden in the mists of time and can be hypothetically traced back to either the Indo-Afghan region or Fertile Crescent. To shed new light on fiber flax genetic diversity and breeding history, in this study, we presented a comprehensive analysis of the core collection of flax (306 accessions) of different morphotypes and geographic origins maintained by the Russian Federal Research Center for Bast Fiber Crops. We observed significant population differentiation between oilseed and fiber morphotypes, as well as mapped genomic regions affected by recent breeding efforts. We also sought to unravel the origins of kryazhs, Russian heritage landraces, and their genetic relatedness to modern fiber flax cultivars. For the first time, our results provide strong genetic evidence in favor of the hypothesis on kryazh's mixed origin from both the Indo-Afghan diversity center and Fertile Crescent. Finally, we showed predominant contribution from Russian landraces and kryazhs into the ancestry of modern fiber flax varieties. Taken together, these findings may have practical implications on the development of new improved flax varieties with desirable traits that give farmers greater choice in crop management and meet the aspirations of breeders.
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Affiliation(s)
- Maria Duk
- Mathematical Biology and Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia
| | - Alexander Kanapin
- Centre for Computational Biology, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia
| | - Tatyana Rozhmina
- Laboratory of Breeding Technologies, Federal Research Center for Bast Fiber Crops, Torzhok, Russia
| | - Mikhail Bankin
- Mathematical Biology and Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia
| | - Svetlana Surkova
- Mathematical Biology and Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia
| | - Anastasia Samsonova
- Centre for Computational Biology, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | - Maria Samsonova
- Mathematical Biology and Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia
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Povkhova LV, Melnikova NV, Rozhmina TA, Novakovskiy RO, Pushkova EN, Dvorianinova EM, Zhuchenko AA, Kamionskaya AM, Krasnov GS, Dmitriev AA. Genes Associated with the Flax Plant Type (Oil or Fiber) Identified Based on Genome and Transcriptome Sequencing Data. PLANTS (BASEL, SWITZERLAND) 2021; 10:plants10122616. [PMID: 34961087 PMCID: PMC8707629 DOI: 10.3390/plants10122616] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 11/25/2021] [Accepted: 11/26/2021] [Indexed: 06/14/2023]
Abstract
As a result of the breeding process, there are two main types of flax (Linum usitatissimum L.) plants. Linseed is used for obtaining seeds, while fiber flax is used for fiber production. We aimed to identify the genes associated with the flax plant type, which could be important for the formation of agronomically valuable traits. A search for polymorphisms was performed in genes involved in the biosynthesis of cell wall components, lignans, fatty acids, and ion transport based on genome sequencing data for 191 flax varieties. For 143 of the 424 studied genes (4CL, C3'H, C4H, CAD, CCR, CCoAOMT, COMT, F5H, HCT, PAL, CTL, BGAL, ABC, HMA, DIR, PLR, UGT, TUB, CESA, RGL, FAD, SAD, and ACT families), one or more polymorphisms had a strong correlation with the flax type. Based on the transcriptome sequencing data, we evaluated the expression levels for each flax type-associated gene in a wide range of tissues and suggested genes that are important for the formation of linseed or fiber flax traits. Such genes were probably subjected to the selection press and can determine not only the traits of seeds and stems but also the characteristics of the root system or resistance to stresses at a particular stage of development, which indirectly affects the ability of flax plants to produce seeds or fiber.
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Affiliation(s)
- Liubov V. Povkhova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (L.V.P.); (N.V.M.); (R.O.N.); (E.N.P.); (E.M.D.); (G.S.K.)
- Moscow Institute of Physics and Technology, 141701 Moscow, Russia
| | - Nataliya V. Melnikova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (L.V.P.); (N.V.M.); (R.O.N.); (E.N.P.); (E.M.D.); (G.S.K.)
| | - Tatiana A. Rozhmina
- Federal Research Center for Bast Fiber Crops, 172002 Torzhok, Russia; (T.A.R.); (A.A.Z.)
| | - Roman O. Novakovskiy
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (L.V.P.); (N.V.M.); (R.O.N.); (E.N.P.); (E.M.D.); (G.S.K.)
| | - Elena N. Pushkova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (L.V.P.); (N.V.M.); (R.O.N.); (E.N.P.); (E.M.D.); (G.S.K.)
| | - Ekaterina M. Dvorianinova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (L.V.P.); (N.V.M.); (R.O.N.); (E.N.P.); (E.M.D.); (G.S.K.)
- Moscow Institute of Physics and Technology, 141701 Moscow, Russia
| | - Alexander A. Zhuchenko
- Federal Research Center for Bast Fiber Crops, 172002 Torzhok, Russia; (T.A.R.); (A.A.Z.)
- All-Russian Horticultural Institute for Breeding, Agrotechnology and Nursery, 115598 Moscow, Russia
| | - Anastasia M. Kamionskaya
- Institute of Bioengineering, Research Center of Biotechnology of the Russian Academy of Sciences, 119071 Moscow, Russia;
| | - George S. Krasnov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (L.V.P.); (N.V.M.); (R.O.N.); (E.N.P.); (E.M.D.); (G.S.K.)
| | - Alexey A. Dmitriev
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia; (L.V.P.); (N.V.M.); (R.O.N.); (E.N.P.); (E.M.D.); (G.S.K.)
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11
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Kanapin A, Bankin M, Rozhmina T, Samsonova A, Samsonova M. Genomic Regions Associated with Fusarium Wilt Resistance in Flax. Int J Mol Sci 2021; 22:12383. [PMID: 34830265 PMCID: PMC8623186 DOI: 10.3390/ijms222212383] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/13/2021] [Accepted: 11/15/2021] [Indexed: 01/22/2023] Open
Abstract
Modern flax cultivars are susceptible to many diseases; arguably, the most economically damaging of these is the Fusarium wilt fungal disease. Over the past decades international flax breeding initiatives resulted in the development of resistant cultivars. However, much remains to be learned about the mechanisms of resistance to Fusarium infection in flax. As a first step to uncover the genetic factors associated with resistance to Fusarium wilt disease, we performed a genome-wide association study (GWAS) using 297 accessions from the collection of the Federal Research Centre of the Bast Fiber Crops, Torzhok, Russia. These genotypes were infected with a highly pathogenic Fusarium oxysporum f.sp. lini MI39 strain; the wilt symptoms were documented in the course of three successive years. Six different single-locus models implemented in GAPIT3 R package were applied to a selected subset of 72,526 SNPs. A total of 15 QTNs (Quantitative Trait Nucleotides) were detected during at least two years of observation, while eight QTNs were found during all three years of the experiment. Of these, ten QTNs occupied a region of 640 Kb at the start of chromosome 1, while the remaining QTNs mapped to chromosomes 8, 11 and 13. All stable QTNs demonstrate a statistically significant allelic effect across 3 years of the experiment. Importantly, several QTNs spanned regions that harbored genes involved in the pathogen recognition and plant immunity response, including the KIP1-like protein (Lus10025717) and NBS-LRR protein (Lus10025852). Our results provide novel insights into the genetic architecture of flax resistance to Fusarium wilt and pinpoint potential candidate genes for further in-depth studies.
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Affiliation(s)
- Alexander Kanapin
- Centre for Computational Biology, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia; (A.K.); (A.S.)
| | - Mikhail Bankin
- Mathematical Biology & Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia;
| | - Tatyana Rozhmina
- Laboratory of Breeding Technologies, Federal Research Center for Bast Fiber Crops, 172002 Torzhok, Russia;
| | - Anastasia Samsonova
- Centre for Computational Biology, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia; (A.K.); (A.S.)
| | - Maria Samsonova
- Mathematical Biology & Bioinformatics Laboratory, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia;
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12
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Sa R, Yi L, Siqin B, An M, Bao H, Song X, Wang S, Li Z, Zhang Z, Hazaisi H, Guo J, Su S, Li J, Zhao X, Lu Z. Chromosome-Level Genome Assembly and Annotation of the Fiber Flax ( Linum usitatissimum) Genome. Front Genet 2021; 12:735690. [PMID: 34589116 PMCID: PMC8473814 DOI: 10.3389/fgene.2021.735690] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 08/16/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Rula Sa
- School of Pharmaceutical Sciences, Baotou Medical College, Baotou, China
| | - Liuxi Yi
- Agricultural College, Inner Mongolia Agricultural University, Hohhot, China
| | - Bateer Siqin
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Restoration and Pollution Control, Biotechnology Research Center, Hohhot, China
| | - Ming An
- School of Pharmaceutical Sciences, Baotou Medical College, Baotou, China
| | - Haizhu Bao
- Agricultural College, Inner Mongolia Agricultural University, Hohhot, China
| | - Xiaoling Song
- School of Pharmaceutical Sciences, Baotou Medical College, Baotou, China
| | - Shuyan Wang
- Agricultural College, Inner Mongolia Agricultural University, Hohhot, China
| | - Zhiwei Li
- Agricultural College, Inner Mongolia Agricultural University, Hohhot, China
| | - Zheng Zhang
- Yili Institute of Agricultural Science, Xinjiang, China
| | | | - Jingjing Guo
- School of Pharmaceutical Sciences, Baotou Medical College, Baotou, China
| | - Shaofeng Su
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Restoration and Pollution Control, Biotechnology Research Center, Hohhot, China
| | - Jinhuan Li
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Restoration and Pollution Control, Biotechnology Research Center, Hohhot, China
| | - Xiaoqing Zhao
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Restoration and Pollution Control, Biotechnology Research Center, Hohhot, China
| | - Zhanyuan Lu
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Inner Mongolia Conservation Tillage Engineering Technology Research Center, Inner Mongolia Key Laboratory of Degradation Farmland Ecological Restoration and Pollution Control, Biotechnology Research Center, Hohhot, China
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13
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Hou H, Wang X, Zhang C, Tu Y, Lv W, Cai X, Xu Z, Yao J, Yang C. Genomic analysis of GBS data reveals genes associated with facial pigmentation in Xinyang blue-shelled layers. Arch Anim Breed 2020; 63:483-491. [PMID: 33473373 PMCID: PMC7810225 DOI: 10.5194/aab-63-483-2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 11/02/2020] [Indexed: 12/16/2022] Open
Abstract
Facial pigmentation is an important economic trait of chickens, especially for laying hens, which will affect the carcass appearance of eliminated layers. Therefore, identifying the genomic regions and exploring the function of this region that contributes to understanding the variation of skin color traits is significant for breeding. In the study, 291 pure-line Xinyang blue-shelled laying hens were selected, of which 75 were dark-faced chickens and 216 were white-faced chickens. The population was sequenced and typed by GBS genotyping technology. The obtained high-quality SNPs and pigmentation phenotypes were analyzed by a genome-wide association study (GWAS) and a F ST scan. Based on the two analytical methods, we identified a same genomic region (10.70-11.60 Mb) on chromosome 20 with 68 significant SNPs ( - log 10 ( P ) > 6 ), mapped to 10 known genes, including NPEPL1, EDN3, GNAS, C20orf85, VAPB, BMP7, TUBB1, ELMO2, DDX27, and NCOA5, which are associated with dermal hyperpigmentation.
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Affiliation(s)
- Haobin Hou
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Xiaoliang Wang
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Caiyun Zhang
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Yingying Tu
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Wenwei Lv
- National Poultry Engineer Research Center, Shanghai 201106, China
| | - Xia Cai
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Zhigang Xu
- Shanghai Poultry Breeding Co., Ltd., Shanghai 201100, China
| | - Junfeng Yao
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
| | - Changsuo Yang
- Shanghai Academy of Agricultural Sciences, Shanghai 201106, China.,National Poultry Engineer Research Center, Shanghai 201106, China
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14
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Dmitriev AA, Kezimana P, Rozhmina TA, Zhuchenko AA, Povkhova LV, Pushkova EN, Novakovskiy RO, Pavelek M, Vladimirov GN, Nikolaev EN, Kovaleva OA, Kostyukevich YI, Chagovets VV, Romanova EV, Snezhkina AV, Kudryavtseva AV, Krasnov GS, Melnikova NV. Genetic diversity of SAD and FAD genes responsible for the fatty acid composition in flax cultivars and lines. BMC PLANT BIOLOGY 2020; 20:301. [PMID: 33050879 PMCID: PMC7557025 DOI: 10.1186/s12870-020-02499-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 06/15/2020] [Indexed: 06/02/2023]
Abstract
BACKGROUND Flax (Linum usitatissimum L.) is grown for fiber and seed in many countries. Flax cultivars differ in the oil composition and, depending on the ratio of fatty acids, are used in pharmaceutical, food, or paint industries. It is known that genes of SAD (stearoyl-ACP desaturase) and FAD (fatty acid desaturase) families play a key role in the synthesis of fatty acids, and some alleles of these genes are associated with a certain composition of flax oil. However, data on genetic polymorphism of these genes are still insufficient. RESULTS On the basis of the collection of the Institute for Flax (Torzhok, Russia), we formed a representative set of 84 cultivars and lines reflecting the diversity of fatty acid composition of flax oil. An approach for the determination of full-length sequences of SAD1, SAD2, FAD2A, FAD2B, FAD3A, and FAD3B genes using the Illumina platform was developed and deep sequencing of the 6 genes in 84 flax samples was performed on MiSeq. The obtained high coverage (about 400x on average) enabled accurate assessment of polymorphisms in SAD1, SAD2, FAD2A, FAD2B, FAD3A, and FAD3B genes and evaluation of cultivar/line heterogeneity. The highest level of genetic diversity was observed for FAD3A and FAD3B genes - 91 and 62 polymorphisms respectively. Correlation analysis revealed associations between particular variants in SAD and FAD genes and predominantly those fatty acids whose conversion they catalyze: SAD - stearic and oleic acids, FAD2 - oleic and linoleic acids, FAD3 - linoleic and linolenic acids. All except one low-linolenic flax cultivars/lines contained both the substitution of tryptophan to stop codon in the FAD3A gene and histidine to tyrosine substitution in the FAD3B gene, while samples with only one of these polymorphisms had medium content of linolenic acid and cultivars/lines without them were high-linolenic. CONCLUSIONS Genetic polymorphism of SAD and FAD genes was evaluated in the collection of flax cultivars and lines with diverse oil composition, and associations between particular polymorphisms and the ratio of fatty acids were revealed. The achieved results are the basis for the development of marker-assisted selection and DNA-based certification of flax cultivars.
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Affiliation(s)
- Alexey A Dmitriev
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Parfait Kezimana
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
- Peoples' Friendship University of Russia (RUDN University), Moscow, Russia
| | - Tatiana A Rozhmina
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
- Federal Research Center for Bast Fiber Crops, Torzhok, Russia
| | - Alexander A Zhuchenko
- Federal Research Center for Bast Fiber Crops, Torzhok, Russia
- All-Russian Horticultural Institute for Breeding, Agrotechnology and Nursery, Moscow, Russia
| | - Liubov V Povkhova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
- Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - Elena N Pushkova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Roman O Novakovskiy
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | | | | | | | | | | | - Vitaliy V Chagovets
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, Moscow, Russia
| | - Elena V Romanova
- Peoples' Friendship University of Russia (RUDN University), Moscow, Russia
| | | | - Anna V Kudryavtseva
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - George S Krasnov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Nataliya V Melnikova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
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15
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Akhmetshina AO, Strygina KV, Khlestkina EK, Porokhovinova EA, Brutch NB. High-throughput sequencing techniques to flax genetics and breeding. ECOLOGICAL GENETICS 2020. [PMID: 0 DOI: 10.17816/ecogen16126] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Flax (Linum usitatissimum L.) is an important oil and fiber crop. Using modern methods for flax breeding allows accelerating the introduction of some desired genes into the genotypes of future varieties. Today, an important condition for their creation is the development of research, that is based on next-generation sequencing (NGS). This review summarizes the results obtained using NGS in flax research. To date, a linkage map with a high marker density has been obtained for L. usitatissimum, which is already being used for a more efficient search for quantitative traits loci. Comparative studies of transcriptomes and miRNomes of flax under stress and in control conditions elucidated molecular-genetic mechanisms of abiotic and biotic stress responses. The very accurate model for genomic selection of flax resistant to pasmo was constructed. Based on NGS-sequencing also some details of the genus Linum evolution were clarified. The knowledge systematized in the review can be useful for researchers working in flax breeding and whereas fundamental interest for understanding the phylogenetic relationships within the genus Linum, the ontogenesis, and the mechanisms of the response of flax plants to various stress factors.
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16
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You FM, Cloutier S. Mapping Quantitative Trait Loci onto Chromosome-Scale Pseudomolecules in Flax. Methods Protoc 2020; 3:mps3020028. [PMID: 32260372 PMCID: PMC7359702 DOI: 10.3390/mps3020028] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/01/2020] [Accepted: 04/02/2020] [Indexed: 01/07/2023] Open
Abstract
Quantitative trait loci (QTL) are genomic regions associated with phenotype variation of quantitative traits. To date, a total of 313 QTL for 31 quantitative traits have been reported in 14 studies on flax. Of these, 200 QTL from 12 studies were identified based on genetic maps, the scaffold sequences, or the pre-released chromosome-scale pseudomolecules. Molecular markers for QTL identification differed across studies but the most used ones were simple sequence repeats (SSRs) or single nucleotide polymorphisms (SNPs). To uniquely map the SSR and SNP markers from different references onto the recently released chromosome-scale pseudomolecules, methods with several scripts and database files were developed to locate PCR- and SNP-based markers onto the same reference, co-locate QTL, and scan genome-wide candidate genes. Using these methods, 195 out of 200 QTL were successfully sorted onto the 15 flax chromosomes and grouped into 133 co-located QTL clusters; the candidate genes that co-located with these QTL clusters were also predicted. The methods and tools presented in this article facilitate marker re-mapping to a new reference, genome-wide QTL analysis, candidate gene scanning, and breeding applications in flax and other crops.
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17
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Lan S, Zheng C, Hauck K, McCausland M, Duguid SD, Booker HM, Cloutier S, You FM. Genomic Prediction Accuracy of Seven Breeding Selection Traits Improved by QTL Identification in Flax. Int J Mol Sci 2020; 21:ijms21051577. [PMID: 32106624 PMCID: PMC7084455 DOI: 10.3390/ijms21051577] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Revised: 02/23/2020] [Accepted: 02/23/2020] [Indexed: 01/21/2023] Open
Abstract
Molecular markers are one of the major factors affecting genomic prediction accuracy and the cost of genomic selection (GS). Previous studies have indicated that the use of quantitative trait loci (QTL) as markers in GS significantly increases prediction accuracy compared with genome-wide random single nucleotide polymorphism (SNP) markers. To optimize the selection of QTL markers in GS, a set of 260 lines from bi-parental populations with 17,277 genome-wide SNPs were used to evaluate the prediction accuracy for seed yield (YLD), days to maturity (DTM), iodine value (IOD), protein (PRO), oil (OIL), linoleic acid (LIO), and linolenic acid (LIN) contents. These seven traits were phenotyped over four years at two locations. Identification of quantitative trait nucleotides (QTNs) for the seven traits was performed using three types of statistical models for genome-wide association study: two SNP-based single-locus (SS), seven SNP-based multi-locus (SM), and one haplotype-block-based multi-locus (BM) models. The identified QTNs were then grouped into QTL based on haplotype blocks. For all seven traits, 133, 355, and 1208 unique QTL were identified by SS, SM, and BM, respectively. A total of 1420 unique QTL were obtained by SS+SM+BM, ranging from 254 (OIL, LIO) to 361 (YLD) for individual traits, whereas a total of 427 unique QTL were achieved by SS+SM, ranging from 56 (YLD) to 128 (LIO). SS models alone did not identify sufficient QTL for GS. The highest prediction accuracies were obtained using single-trait QTL identified by SS+SM+BM for OIL (0.929 ± 0.016), PRO (0.893 ± 0.023), YLD (0.892 ± 0.030), and DTM (0.730 ± 0.062), and by SS+SM for LIN (0.837 ± 0.053), LIO (0.835 ± 0.049), and IOD (0.835 ± 0.041). In terms of the number of QTL markers and prediction accuracy, SS+SM outperformed other models or combinations thereof. The use of all SNPs or QTL of all seven traits significantly reduced the prediction accuracy of traits. The results further validated that QTL outperformed high-density genome-wide random markers, and demonstrated that the combined use of single and multi-locus models can effectively identify a comprehensive set of QTL that improve prediction accuracy, but further studies on detection and removal of redundant or false-positive QTL to maximize prediction accuracy and minimize the number of QTL markers in GS are warranted.
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Affiliation(s)
- Samuel Lan
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (S.L.); (C.Z.); (K.H.); (M.M.)
- Department of Mathematics and Statistics, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Chunfang Zheng
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (S.L.); (C.Z.); (K.H.); (M.M.)
| | - Kyle Hauck
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (S.L.); (C.Z.); (K.H.); (M.M.)
- Department of Mathematics and Statistics, University of Waterloo, Waterloo, ON N2L 3G1, Canada
| | - Madison McCausland
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (S.L.); (C.Z.); (K.H.); (M.M.)
- Department of Plant Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Scott D. Duguid
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB R6M 1Y5, Canada;
| | - Helen M. Booker
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada;
| | - Sylvie Cloutier
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (S.L.); (C.Z.); (K.H.); (M.M.)
- Correspondence: (F.M.Y.); (S.C); Tel.: +1-613-759-1539 (F.M.Y.); +1-613-759-1744 (S.C.)
| | - Frank M. You
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada; (S.L.); (C.Z.); (K.H.); (M.M.)
- Correspondence: (F.M.Y.); (S.C); Tel.: +1-613-759-1539 (F.M.Y.); +1-613-759-1744 (S.C.)
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18
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Xie D, Dai Z, Yang Z, Tang Q, Deng C, Xu Y, Wang J, Chen J, Zhao D, Zhang S, Zhang S, Su J. Combined genome-wide association analysis and transcriptome sequencing to identify candidate genes for flax seed fatty acid metabolism. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2019; 286:98-107. [PMID: 31300147 DOI: 10.1016/j.plantsci.2019.06.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 05/31/2019] [Accepted: 06/01/2019] [Indexed: 05/11/2023]
Abstract
Flax seeds have a high oil content and are rich in unsaturated fatty acids, which have advantageous effects in preventing chronic diseases, such as cardiovascular diseases. At present, flax seeds are mainly developed for oil. Therefore, it is of practical significance to identify the candidate genes of fatty acid metabolism in flax seeds for breeding flax seeds with high oil content. In the present study, a natural population of flax containing 224 samples planted in 3 different environments was studied. The genome-wide association analysis (GWAS) of seed fatty acid content was conducted based on specific length amplified fragment sequencing (SLAF-seq) data. Transcriptome sequencing (RNA-seq) of samples from 3 different periods (14 d, 21 d and 28 d after anthesis) during seed development of the low oil variety Shuangya 4 and the high oil variety NEW was performed. The candidate genes for seed fatty acid metabolism were identified by combined analysis of these 2 methods. GWAS detected 16 SNP loci significantly associated with seed fatty acid content, and RNA-seq analysis identified 11,802 differentially expressed genes between high and low oil samples. Pathway enrichment analysis revealed that some differentially expressed genes were classified into fatty acid-related pathways. After comparison of these differentially expressed genes with the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, 20 genes homologous to other species were obtained. After analysis, 10 candidate genes were screened by GWAS and RNA-seq screening. Of these 10 genes, qRT-PCR assays using flax seeds in 5 different developmental stages showed that the expression levels of 6 candidate genes were significantly correlated with 5 fatty acid contents in seeds of the high oil variety NEW. Through metabolic pathway analysis found that 6 genes were involved in important fatty acid metabolic pathways, and some of them also have upstream and downstream regulation relations. The present study combined GWAS and RNA-seq methods to identify candidate genes for fatty acid metabolism in flax seeds, which provided reference for screening of candidate genes with complex traits.
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Affiliation(s)
- Dongwei Xie
- Institute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin, China; Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
| | - Zhigang Dai
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
| | - Zemao Yang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
| | - Qing Tang
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
| | - Canhui Deng
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
| | - Ying Xu
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
| | - Jing Wang
- Institute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
| | - Jing Chen
- Institute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
| | - Debao Zhao
- Institute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
| | - Shuli Zhang
- Wuchang Rice Research Institute, Heilongjiang Academy of Agricultural Sciences, Wuchang, China.
| | - Shuquan Zhang
- Institute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
| | - Jianguang Su
- Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences, Changsha, China.
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19
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He L, Xiao J, Rashid KY, Jia G, Li P, Yao Z, Wang X, Cloutier S, You FM. Evaluation of Genomic Prediction for Pasmo Resistance in Flax. Int J Mol Sci 2019; 20:E359. [PMID: 30654497 PMCID: PMC6359301 DOI: 10.3390/ijms20020359] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 01/06/2019] [Accepted: 01/11/2019] [Indexed: 02/06/2023] Open
Abstract
Pasmo (Septoria linicola) is a fungal disease causing major losses in seed yield and quality and stem fibre quality in flax. Pasmo resistance (PR) is quantitative and has low heritability. To improve PR breeding efficiency, the accuracy of genomic prediction (GP) was evaluated using a diverse worldwide core collection of 370 accessions. Four marker sets, including three defined by 500, 134 and 67 previously identified quantitative trait loci (QTL) and one of 52,347 PR-correlated genome-wide single nucleotide polymorphisms, were used to build ridge regression best linear unbiased prediction (RR-BLUP) models using pasmo severity (PS) data collected from field experiments performed during five consecutive years. With five-fold random cross-validation, GP accuracy as high as 0.92 was obtained from the models using the 500 QTL when the average PS was used as the training dataset. GP accuracy increased with training population size, reaching values >0.9 with training population size greater than 185. Linear regression of the observed PS with the number of positive-effect QTL in accessions provided an alternative GP approach with an accuracy of 0.86. The results demonstrate the GP models based on marker information from all identified QTL and the 5-year PS average is highly effective for PR prediction.
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Affiliation(s)
- Liqiang He
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada.
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University/JiangSu Collaborative Innovation Center for Modern Crop Production, Nanjing 210095, China.
| | - Jin Xiao
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University/JiangSu Collaborative Innovation Center for Modern Crop Production, Nanjing 210095, China.
| | - Khalid Y Rashid
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB R6M 1Y5, Canada.
| | - Gaofeng Jia
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK S7N 5A8, Canada.
| | - Pingchuan Li
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB R6M 1Y5, Canada.
| | - Zhen Yao
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB R6M 1Y5, Canada.
| | - Xiue Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University/JiangSu Collaborative Innovation Center for Modern Crop Production, Nanjing 210095, China.
| | - Sylvie Cloutier
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada.
| | - Frank M You
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada.
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University/JiangSu Collaborative Innovation Center for Modern Crop Production, Nanjing 210095, China.
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20
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He L, Xiao J, Rashid KY, Yao Z, Li P, Jia G, Wang X, Cloutier S, You FM. Genome-Wide Association Studies for Pasmo Resistance in Flax ( Linum usitatissimum L.). FRONTIERS IN PLANT SCIENCE 2019; 9:1982. [PMID: 30693010 PMCID: PMC6339956 DOI: 10.3389/fpls.2018.01982] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 12/20/2018] [Indexed: 05/04/2023]
Abstract
Pasmo is one of the most widespread diseases threatening flax production. To identify genetic regions associated with pasmo resistance (PR), a genome-wide association study was performed on 370 accessions from the flax core collection. Evaluation of pasmo severity was performed in the field from 2012 to 2016 in Morden, MB, Canada. Genotyping-by-sequencing has identified 258,873 single nucleotide polymorphisms (SNPs) distributed on all 15 flax chromosomes. Marker-trait associations were identified using ten different statistical models. A total of 692 unique quantitative trait nucleotides (QTNs) associated with 500 putative quantitative trait loci (QTL) were detected from six phenotypic PR datasets (five individual years and average across years). Different QTNs were identified with various statistical models and from individual PR datasets, indicative of the complementation between analytical methods and/or genotype × environment interactions of the QTL effects. The single-locus models tended to identify large-effect QTNs while the multi-loci models were able to detect QTNs with smaller effects. Among the putative QTL, 67 had large effects (3-23%), were stable across all datasets and explained 32-64% of the total variation for PR in the various datasets. Forty-five of these QTL spanned 85 resistance gene analogs including a large toll interleukin receptor, nucleotide-binding site, leucine-rich repeat (TNL) type gene cluster on chromosome 8. The number of QTL with positive-effect or favorite alleles (NPQTL) in accessions was significantly correlated with PR (R 2 = 0.55), suggesting that these QTL effects are mainly additive. NPQTL was also significantly associated with morphotype (R 2 = 0.52) and major QTL with positive effect alleles were present in the fiber type accessions. The 67 large effect QTL are suited for marker-assisted selection and the 500 QTL for effective genomic prediction in PR molecular breeding.
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Affiliation(s)
- Liqiang He
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
- Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University/JCIC-MCP, Nanjing, China
| | - Jin Xiao
- Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University/JCIC-MCP, Nanjing, China
| | - Khalid Y. Rashid
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
| | - Zhen Yao
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
| | - Pingchuan Li
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
| | - Gaofeng Jia
- Crop Development Centre, University of Saskatchewan, Saskatoon, SK, Canada
| | - Xiue Wang
- Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University/JCIC-MCP, Nanjing, China
| | - Sylvie Cloutier
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Frank M. You
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
- Key Laboratory of Crop Genetics and Germplasm Enhancement, College of Agriculture, Nanjing Agricultural University/JCIC-MCP, Nanjing, China
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21
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Guo D, Jiang H, Yan W, Yang L, Ye J, Wang Y, Yan Q, Chen J, Gao Y, Duan L, Liu H, Xie L. Resequencing 200 Flax Cultivated Accessions Identifies Candidate Genes Related to Seed Size and Weight and Reveals Signatures of Artificial Selection. FRONTIERS IN PLANT SCIENCE 2019; 10:1682. [PMID: 32010166 PMCID: PMC6976528 DOI: 10.3389/fpls.2019.01682] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Accepted: 11/29/2019] [Indexed: 05/13/2023]
Abstract
Seed size and weight are key traits determining crop yield, which often undergo strongly artificial selection during crop domestication. Although seed sizes differ significantly between oil flax and fiber flax, the genetic basis of morphological differences and artificial selection characteristics in seed size remains largely unclear. Here we re-sequenced 200 flax cultivated accessions to generate a genome variation map based on chromosome assembly reference genomes. We provide evidence that oil flax group is the ancestor of cultivated flax, and the oil-fiber dual purpose group (OF) is the evolutionary intermediate transition state between oil and fiber flax. Genome-wide association studies (GWAS) were combined with LD Heatmap to identify candidate regions related to seed size and weight, then candidate genes were screened based on detailed functional annotations and estimation of nucleotide polymorphism effects. Using this strategy, we obtained 13 candidate genes related to seed size and weight. Selective sweeps analysis indicates human-involved selection of small seeds during the oil to fiber flax transition. Our study shows the existence of elite alleles for seed size and weight in flax germplasm and provides molecular insights into approaches for further improvement.
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Affiliation(s)
- Dongliang Guo
- National Center of Melon Engineering and Technology, Molecular Breeding Laboratory, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Haixia Jiang
- National Center of Melon Engineering and Technology, Molecular Breeding Laboratory, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Wenliang Yan
- National Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Liangjie Yang
- Herbal Medicine Innovation Research Center, Agricultural Bureau of Zhaosu County, Yili, China
| | - Jiali Ye
- National Center of Melon Engineering and Technology, Molecular Breeding Laboratory, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Yue Wang
- National Center of Melon Engineering and Technology, Molecular Breeding Laboratory, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Qingcheng Yan
- National Center of Melon Engineering and Technology, Molecular Breeding Laboratory, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Jiaxun Chen
- National Center of Melon Engineering and Technology, Molecular Breeding Laboratory, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Yanfang Gao
- National Center of Melon Engineering and Technology, Molecular Breeding Laboratory, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Lepeng Duan
- National Center of Melon Engineering and Technology, Molecular Breeding Laboratory, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Huiqing Liu
- National Center of Melon Engineering and Technology, Molecular Breeding Laboratory, College of Life Science and Technology, Xinjiang University, Urumqi, China
| | - Liqiong Xie
- National Center of Melon Engineering and Technology, Molecular Breeding Laboratory, College of Life Science and Technology, Xinjiang University, Urumqi, China
- *Correspondence: Liqiong Xie,
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22
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Soto-Cerda BJ, Cloutier S, Quian R, Gajardo HA, Olivos M, You FM. Genome-Wide Association Analysis of Mucilage and Hull Content in Flax ( Linum usitatissimum L.) Seeds. Int J Mol Sci 2018; 19:ijms19102870. [PMID: 30248911 PMCID: PMC6213135 DOI: 10.3390/ijms19102870] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 09/14/2018] [Accepted: 09/18/2018] [Indexed: 01/20/2023] Open
Abstract
New flaxseed cultivars differing in seed mucilage content (MC) with low hull content (HC) represent an attractive option to simultaneously target the food and feed markets. Here, a genome-wide association study (GWAS) was conducted for MC and HC in 200 diverse flaxseed accessions genotyped with 1.7 million single nucleotide polymorphism (SNP) markers. The data obtained for MC and HC indicated a broad phenotypic variation and high (~70%) and a moderate (~49%) narrow sense heritability, respectively. MC and HC did not differ statistically between fiber and oil morphotypes, but yellow-seeded accessions had 2.7% less HC than brown-seeded ones. The genome-wide linkage disequilibrium (LD) decayed to r2 = 0.1 at a physical distance of ~100 kb. Seven and four quantitative trait loci (QTL) were identified for MC and HC, respectively. Promising candidate genes identified include Linum usitatissimum orthologs of the Arabidopsis thaliana genes TRANSPARENT TESTA 8, SUBTILISIN-LIKE SERINE PROTEASE, GALACTUROSYL TRANSFERASE-LIKE 5, MUCILAGE-MODIFIED 4, AGAMOUS-LIKE MADS-BOX PROTEIN AGL62, GLYCOSYL HYDROLASE FAMILY 17, and UDP-GLUCOSE FLAVONOL 3-O-GLUCOSYLTRANSFERASE. These genes have been shown to play a role in mucilage synthesis and release, seed coat development and anthocyanin biosynthesis in A. thaliana. The favorable alleles will be useful in flaxseed breeding towards the goal of achieving the ideal MC and HC composition for food and feed by genomic-based breeding.
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Affiliation(s)
- Braulio J Soto-Cerda
- Agriaquaculture Nutritional Genomic Center (CGNA), Las Heras 350, Temuco 4781158, Chile.
| | - Sylvie Cloutier
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada.
| | - Rocío Quian
- Agriaquaculture Nutritional Genomic Center (CGNA), Las Heras 350, Temuco 4781158, Chile.
| | - Humberto A Gajardo
- Agriaquaculture Nutritional Genomic Center (CGNA), Las Heras 350, Temuco 4781158, Chile.
| | - Marcos Olivos
- Agriaquaculture Nutritional Genomic Center (CGNA), Las Heras 350, Temuco 4781158, Chile.
| | - Frank M You
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, Canada.
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB R6M 1Y5, Canada.
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