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Mathias-Ramwell M, Pavez V, Meneses M, Fernández F, Valdés A, Lobos I, Silva M, Saldaña R, Hinrichsen P. Phenotypic and genetic characterization of an Avena sativa L. germplasm collection of diverse origin: implications for food-oat breeding in Chile. FRONTIERS IN PLANT SCIENCE 2023; 14:1298591. [PMID: 38179484 PMCID: PMC10764548 DOI: 10.3389/fpls.2023.1298591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 12/05/2023] [Indexed: 01/06/2024]
Abstract
Oats are known for their nutritional value and also for their beneficial properties on human health, such as the reduction of cholesterol levels and risk of coronary heart disease; they are an important export product for Chile. During the last decade (2010-2022) over 90% of the oat cultivated area in Chile has been covered with Avena sativa L. cv. Supernova INIA. This lack of genetic diversity in a context of climate change could limit the long-term possibility of growing oats in Chile. The present study is a phenotypic and genetic analysis of 132 oat cultivars and pure lines of diverse origin that can be considered as potential breeding material. The germplasm was evaluated for 28 traits and analyzed with 14 SSR markers. The effects of genotypes on phenotype were significant over all traits (P ≤ 0.05). Most traits exhibited moderate to high broad-sense heritability with exceptions such as yield (H2 = 0.27) and hulls staining (H2 = 0.32). Significant undesirable correlations between traits were generally of small biological importance, which is auspicious for achieving breeding objectives. Some of the heritability data and correlations provided here have not been previously reported. The overall phenotypic diversity was high (H' = 0.68 ± 0.18). The germplasm was grouped into three phenotypic clusters, differing in their qualities for breeding. Twenty-six genotypes outperforming Supernova INIA were identified for breeding of conventional food-oats. The genetic diversity of the germplasm was moderate on average (He = 0.58 ± 0.03), varying between 0.32 (AM22) and 0.77 (AME178). Two genetic subpopulations supported by the Structure algorithm exhibited a genetic distance of 0.24, showing low divergence of the germplasm. The diversity and phenotypic values found in this collection of oat genotypes are promising with respect to obtaining genetic gain in the short term in breeding programs. However, the similar genetic diversity, higher phenotypic diversity, and better phenotypic performance of the germplasm created in Chile compared to foreign germplasm suggest that germplasm harboring new genetic diversity will be key to favor yield and quality in new oat cultivars in the long term.
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Affiliation(s)
- Mónica Mathias-Ramwell
- Programa de mejoramiento genético de avena, Instituto de Investigaciones Agropecuarias (INIA), Centro Regional de Investigación Carillanca, Temuco, Chile
| | - Valentina Pavez
- Laboratorio de Análisis Genético, Instituto de Investigaciones Agropecuarias, Centro Regional de Investigación La Platina, Santiago, Chile
| | - Marco Meneses
- Laboratorio de Análisis Genético, Instituto de Investigaciones Agropecuarias, Centro Regional de Investigación La Platina, Santiago, Chile
| | - Feledino Fernández
- Programa de mejoramiento genético de avena, Instituto de Investigaciones Agropecuarias (INIA), Centro Regional de Investigación Carillanca, Temuco, Chile
| | - Adriana Valdés
- Facultad de Recursos Naturales, Universidad Católica de Temuco, Temuco, Chile
| | - Iris Lobos
- Laboratorio de Espectroscopía Infrarrojo Cercano, Instituto de Investigaciones Agropecuarias, Centro Regional de Investigación Remehue, Osorno, Chile
| | - Mariela Silva
- Laboratorio de Espectroscopía Infrarrojo Cercano, Instituto de Investigaciones Agropecuarias, Centro Regional de Investigación Remehue, Osorno, Chile
| | - Rodolfo Saldaña
- Laboratorio de Nutrición Animal y Medio Ambiente, Instituto de Investigaciones Agropecuarias, Centro Regional de Investigación Remehue, Osorno, Chile
| | - Patricio Hinrichsen
- Laboratorio de Análisis Genético, Instituto de Investigaciones Agropecuarias, Centro Regional de Investigación La Platina, Santiago, Chile
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Bai X, Zhang S, Wang W, Chen Y, Zhao Y, Shi F, Zhu C. Genetic Relationships of 118 Castanea Specific Germplasms and Construction of Their Molecular ID Based on Morphological Characteristics and SSR Markers. PLANTS (BASEL, SWITZERLAND) 2023; 12:1438. [PMID: 37050064 PMCID: PMC10096943 DOI: 10.3390/plants12071438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/13/2023] [Accepted: 03/17/2023] [Indexed: 06/19/2023]
Abstract
To understand the genetic relationships of Castanea species, 16 phenotypic traits were measured, simple sequence repeat (SSR) markers were analyzed, and molecular identity cards (IDs) were constructed for 118 Castanea materials using fluorescent capillary electrophoresis. The coefficient of variation values of the 16 morphological traits of the test materials ranged from 11.11% to 60.38%. A total of 58 alleles were detected using six pairs of SSR core primers, with an average number of 9.7 alleles per locus. The average number of valid alleles per locus was 3.9419 and the proportion of valid alleles was 40.78%. A total of 105 genotypes were detected, and the number of genotypic species that could be amplified per primer pair ranged from 8 to 26. The mean value of the observed heterozygosity was 0.4986. The variation in the He, H, and PIC values was similar; the size of I value was approximately 2.21 times larger, and its mean number of variations was 0.7390, 0.7359, 0.6985, and 1.6015, respectively. The classification of 118 Castanea species was performed using three analytical methods: structure analysis, neighbor-joining (NJ) cluster analysis, and principal coordinate analysis (PCoA), and the results of the three methods were in high agreement. Six pairs of SSR core primers with high polymorphism and strong discriminatory properties were used to identify 118 Castanea plants, and a unique molecular ID card was constructed for each material. These results provide insight into the genetic diversity and population structure of Castanea plants and a theoretical basis for improving the phenomenon of mixed varieties and substandard plants in the Castanea plant market.
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Affiliation(s)
- Xiaoqian Bai
- Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China
| | - Shijie Zhang
- Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China
| | - Wu Wang
- Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China
| | - Yu Chen
- Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China
| | - Yuqiang Zhao
- Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China
| | - Fenghou Shi
- College of Forestry, Nanjing Forestry University, Nanjing 210037, China
| | - Cancan Zhu
- Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden Mem. Sun Yat-Sen), Nanjing 210014, China
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Liu FL, Dai YL, Hoang TN, Puripunyavanich V, Chukiatman PW, Qin M, Fu YR, Chen YC, Tian DK. Genetic diversity and inferred ancestry of Asian lotus ( Nelumbo nucifera) germplasms in Thailand and Vietnam. PLANT DIVERSITY 2023; 45:69-79. [PMID: 36876309 PMCID: PMC9975477 DOI: 10.1016/j.pld.2022.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 05/10/2022] [Accepted: 05/13/2022] [Indexed: 06/18/2023]
Abstract
Tropical lotus (Nelumbo) is an important and unique ecological type of lotus germplasm. Understanding the genetic relationship and diversity of the tropical lotus is necessary for its sustainable conservation and utilization. Using 42 EST-SSR (expressed sequence tag-simple sequence repeats) and 30 SRAP (sequence-related amplified polymorphism) markers, we assessed the genetic diversity and inferred the ancestry of representative tropical lotus from Thailand and Vietnam. In total, 164 and 41 polymorphic bands were detected in 69 accessions by 36 EST-SSR and seven SRAP makers, respectively. Higher genetic diversity was revealed in Thai lotus than in Vietnamese lotus. A Neighbor-Joining tree of five main clusters was constructed using combined EST-SSR and SRAP markers. Cluster I included 17 accessions of Thai lotus; cluster II contained three Thai accessions and 11 accessions from southern Vietnam; and cluster III was constituted by 13 accessions of seed lotus. Consistent with the results from the Neighbor-Joining tree, the genetic structure analysis showed that the genetic background of most Thai and Vietnamese lotus was pure, as artificial breeding has been rare in both countries. Furthermore, these analyses indicate that Thai and Vietnamese lotus germplasms belong to two different gene pools or populations. Most lotus accessions are genetically related to geographical distribution patterns in Thailand or Vietnam. Our findings showed that the origin or genetic relationships of some unidentified lotus sources can be evaluated by comparing morphological characteristics and the data of molecular markers. In addition, these findings provide reliable information for the targeted conservation of tropical lotus and parent selection in breeding novel cultivars of lotus.
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Affiliation(s)
- Feng-Luan Liu
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, PR China
| | - Ya-Lan Dai
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, PR China
| | - Thi Nga Hoang
- Plant Resources Center, Vietnam Academy of Agricultural Sciences, Hanoi, 100803, Vietnam
| | | | | | - Mi Qin
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, PR China
| | - Yan-Rong Fu
- Chinese Society of Landscape Architecture, Beijing, 100835, PR China
| | - Yu-Chu Chen
- Zhejiang Humanity Landscape Co., Ltd., Hangzhou, Zhejiang, 310013, PR China
| | - Dai-Ke Tian
- Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden, Shanghai, 201602, PR China
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Singh KH, Singh L, Parmar N, Kumar S, Nanjundan J, Singh G, Thakur AK. Molecular characterization and genetic diversity analysis in Indian mustard (Brassica juncea L. Czern & Coss.) varieties using SSR markers. PLoS One 2022; 17:e0272914. [PMID: 36018849 PMCID: PMC9417036 DOI: 10.1371/journal.pone.0272914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 07/28/2022] [Indexed: 11/18/2022] Open
Abstract
In this study, we evaluated genetic diversity in a panel of 87 Indian mustard varieties using 200 genomic-SSR markers. A total of 189 SSRs resulted into positive amplification with 174 (92.06%) SSRs generating polymorphic products and 15 (7.94%) SSRs producing monomorphic amplicons. A total of 552 alleles were obtained and allele number varied from 2–6 with an average number of 3.17 alleles per SSR marker. The major allele frequency ranged from 0.29 (ENA23) to 0.92 (BrgMS841) with an average value of 0.58 per SSR locus. The polymorphic information content (PIC) value ranged from 0.10 (BrgMS841) to 0.68 (BrgMS519) with 0.39 as mean PIC value. The gene diversity per locus ranged from 0.13 (BrgMS841) to 0.72 (ENA23 & BrgMS519) with a mean value of 0.48 per SSR primer pair. Both Unweighted Neighbor Joining-based dendrogram and population structure analysis divided all the 87 varieties into two major groups/subpopulations. Analysis of molecular variance (AMOVA) inferred the presence of more genetic variation (98%) among individuals than among groups (2%). A total of 31 SSRs produced 36 unique alleles for 27 varieties which will serve as unique DNA-fingerprints for the identification and legal protection of these varieties. Further, the results obtained provided a deeper insight into the genetic structure of Indian mustard varieties in India and will assist in formulating future breeding strategies aimed at Indian mustard genetic improvement.
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Affiliation(s)
- K. H. Singh
- ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India
| | - Lal Singh
- ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India
| | - Nehanjali Parmar
- ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India
| | - Sunil Kumar
- ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India
| | - J. Nanjundan
- ICAR-Indian Agricultural Research Institute-Regional Station, Wellington Tamilnadu, India
| | - Guman Singh
- ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India
| | - Ajay Kumar Thakur
- ICAR-Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, India
- * E-mail:
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Genetic Diversity and DNA Fingerprinting in Broccoli Carrying Multiple Clubroot Resistance Genes Based on SSR Markers. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12094754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
To identify cultivars quickly and accurately, DNA fingerprinting of 10 broccoli varieties was performed by using simple sequence repeat (SSR) marker technology. Highly informative and polymorphic SSR markers were screened using broccoli and rapeseed. Out of the 93 SSR marker pairs, 21 pairs were selected and found to have good polymorphism. Each marker pair generated 1 to 10 polymorphic bands with an average of 4.29. The average polymorphism information content (PIC) was 0.41 with a range from 0.16 to 0.95. Six selected marker pairs established the fingerprinting of the 10 accessions and their unique fingerprints. Cluster analysis of 10 accessions showed that the genetic similarity coefficient was between 0.57 and 0.91. They can be divided into 3 groups at the genetic similarity coefficient (GSC) of 0.73. The above results indicated that DNA fingerprinting could provide a scientific basis for the identification of broccoli polymerized multiple clubroot resistance genes. Research shows that SSR marker-based DNA fingerprinting further ensures plant seed purity.
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Evaluation of genetic diversity and population structure of Fragaria nilgerrensis using EST-SSR markers. Gene 2021; 796-797:145791. [PMID: 34175390 DOI: 10.1016/j.gene.2021.145791] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 05/18/2021] [Accepted: 06/22/2021] [Indexed: 11/23/2022]
Abstract
Fragaria nilgerrensis is a diploid wild strawberry widely distributed in Southwest China. Its white color and "peach-like" fragrance of fruits are valuable characters for the genetic improvement of cultivated strawberry plants. Its strong biotic and abiotic resistance and tolerance also enable it to survive in different habitats in the field. In this study, we evaluated the level of genetic variation within and between 16 populations with 169 individuals of F. nilgerrensis using 16 newly developed EST-SSR (expressed sequence tag-simple sequence repeats) markers. The results show that the genetic diversity of this species was high, based on Nei's genetic diversity (0.26) and polymorphic loci (0.41), although it is self-compatible and has clonal propagation. Significant genetic differentiation among populations was also detected by AMOVA analysis (Fst = 0.34), which could be indicative of little gene flow (Nm = 0.43) in F. nilgerrensis. The phylogenetic tree indicates that most of individuals from the same population have clustered together. These populations were not grouped based on the geographical distance, consistent with the Mantel test result (R2 = 0.0063, P > 0.05). All the populations were assigned into two ancestral groups, with some individuals admixed, suggesting ancestral gene flow had occurred between these two groups. Our developed EST-SSR markers as well as the genetic diversity and population structure analysis of F. nilgerrensis are important for genetic improvement in the breeding process. Moreover, the populations that contain high genetic diversity would be a priority for collection and conservation.
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Shen Y, Wang J, Shaw RK, Yu H, Sheng X, Zhao Z, Li S, Gu H. Development of GBTS and KASP Panels for Genetic Diversity, Population Structure, and Fingerprinting of a Large Collection of Broccoli ( Brassica oleracea L. var. italica) in China. FRONTIERS IN PLANT SCIENCE 2021; 12:655254. [PMID: 34149754 PMCID: PMC8213352 DOI: 10.3389/fpls.2021.655254] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 04/21/2021] [Indexed: 06/12/2023]
Abstract
Broccoli (Brassica oleracea var. italica) is one of the most important and nutritious vegetables widely cultivated in China. In the recent four decades, several improved varieties were bred and developed by Chinese breeders. However, the efforts for improvement of broccoli are hindered by limited information of genetic diversity and genetic relatedness contained within the available germplasms. This study evaluated the genetic diversity, genetic relationship, population structure, and fingerprinting of 372 accessions of broccoli representing most of the variability of broccoli in China. Millions of SNPs were identified by whole-genome sequencing of 23 representative broccoli genotypes. Through several stringent selection criteria, a total of 1,167 SNPs were selected to characterize genetic diversity and population structure. Of these markers, 1,067 SNPs were genotyped by target sequencing (GBTS), and 100 SNPs were genotyped by kompetitive allele specific PCR (KASP) assay. The average polymorphism information content (PIC) and expected heterozygosity (gene diversity) values were 0.33 and 0.42, respectively. Diversity analysis revealed the prevalence of low to moderate genetic diversity in the broccoli accessions indicating a narrow genetic base. Phylogenetic and principal component analyses revealed that the 372 accessions could be clustered into two main groups but with weak groupings. STRUCTURE analysis also suggested the presence of two subpopulations with weak genetic structure. Analysis of molecular variance (AMOVA) identified 13% variance among populations and 87% within populations revealing very low population differentiation, which could be attributed to massive gene flow and the reproductive biology of the crop. Based on high resolving power, a set of 28 KASP markers was chosen for DNA fingerprinting of the broccoli accessions for seed authentication and varietal identification. To the best of our knowledge, this is the first comprehensive study to measure diversity and population structure of a large collection of broccoli in China and also the first application of GBTS and KASP techniques in genetic characterization of broccoli. This work broadens the understanding of diversity, phylogeny, and population structure of a large collection of broccoli, which may enhance future breeding efforts to achieve higher productivity.
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Affiliation(s)
- Yusen Shen
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Jiansheng Wang
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Ranjan K. Shaw
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Huifang Yu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Xiaoguang Sheng
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Zhenqing Zhao
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Sujuan Li
- Central Laboratory of Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Honghui Gu
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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Harisha R, Bhadru D, Vanisri S, Gourishanakar V, Satish L. SSR and morphological traits based fingerprints and DNA barcodes for varietal identification in rice. BIOTECHNOL BIOTEC EQ 2021. [DOI: 10.1080/13102818.2021.1987324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Affiliation(s)
- Rajappa Harisha
- Department of Genetics and Plant Breeding, College of Agriculture, Rajendranagar, Professor Jayashankar Telangana State Agricultural University, Hyderabad, India
| | - Dharavath Bhadru
- Maize Research Centre, Rajendranagar, Professor Jayashankar Telangana State Agricultural University, Hyderabad, India
| | - Satturu Vanisri
- Institute of Biotechnology, Rajendranagar, Professor Jayashankar Telangana State Agricultural University, Hyderabad, India
| | - Vuppu Gourishanakar
- Administrative Building, Rajendranagar, Professor Jayashankar Telangana State Agricultural University, Hyderabad, India
| | - Lakkakula Satish
- Department of Biotechnology Engineering, & The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Beer Sheva, Israel
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Ji Y, Liu R, Hu J, Huang Y, Wang D, Li G, Rahman MM, Zhang H, Wang C, Li M, Yang T, Zong X. Genetic diversity analysis for narrow-leafed lupin (Lupinus angustifolius L.) by SSR markers. Mol Biol Rep 2020; 47:5215-5224. [PMID: 32577990 DOI: 10.1007/s11033-020-05596-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/17/2020] [Indexed: 11/28/2022]
Abstract
Narrow-leafed lupin (Lupinus angustifolius L.) is used as grain legumes, fodder for livestock and green manure in the world and has a great potential to be developed as a new crop in China. In this study, we assessed the genetic diversity among a set of 109 newly introduced accessions of narrow-leafed lupin using 76 genomic SSR markers. Data analysis suggested that the average gene diversity index and average polymorphism information content (PIC) were 0.4758 and 0.4328, respectively. The mean allele number per loci (Na) was 6.3816. The population structure analysis identified two subgroups based on delta K (ΔK) values. This result is in accordance with that of a PCA. The AMOVA analysis showed that most of molecular variance were within population. These results will be useful to guide the genetic improvement of the narrow-leafed lupin crop in China.
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Affiliation(s)
- Yishan Ji
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Rong Liu
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jinguo Hu
- USDA-ARS Western Regional Plant Introduction Station (WRPIS), Pullman, WA, USA
| | - Yuning Huang
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Dong Wang
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guan Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Md Mosiur Rahman
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.,Pulses Research Center, Bangladesh Agricultural Research Institute (BARI), Gazipur, Bangladesh
| | - Hongyan Zhang
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Chenyu Wang
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Mengwei Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Tao Yang
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Xuxiao Zong
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
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