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Li Y, Huo Y, Yang Y, Wang Z, Sun Y, Liu B, Wu X. Construction of a high-resolution genetic map and identification of single nucleotide polymorphism markers relevant to flower stalk height in onion. FRONTIERS IN PLANT SCIENCE 2023; 14:1100691. [PMID: 36818885 PMCID: PMC9928573 DOI: 10.3389/fpls.2023.1100691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 01/16/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Onion (Allium cepa L., 2n=16) is an economically and nutritionally important vegetable crop worldwide. Construction of a high-resolution genetic map and map-based gene mining in onion have lagged behind other vegetable crops such as tomato and pepper. METHODS In this study, we constructed a high-resolution genetic map of onion using 321 F2 individuals from a cross between two double haploid lines DH-1×DH-17 and employing specific length amplified fragment (SLAF)-seq technology. The genetic map containing 10,584 polymorphic SLAFs with 21,250 single nucleotide polymorphism (SNP) markers and 8 linkage groups was developed for onion, which spanned 928.32 cM, with an average distance of 0.09 cM between adjacent markers. RESULTS Using this map, we carried out QTL mapping of Ms locus related to the male-fertile trait and reproduced previous mapping results, which proved that this map was of good quality. Then, four QTLs (located on LG2, LG5, and LG8) were detected for flower stalk height, explaining 26.60% of the phenotypic variance. Among them, we proposed that 20 SLAF markers (in three QTLs) of flower stalk height trait were effective favorable allelic variant markers associated with heterosis. DISCUSSION Overall, the genetic map was structured using SLAF-seq based on DH lines, and it is the highest-quality and highest-resolution linkage map of onion to date. It lays a foundation for the fine mapping and candidate gene identification of flower stalk height, and provides new insights into the developmental genetic mechanisms in onion breeding.
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Affiliation(s)
| | | | | | | | | | | | - Xiong Wu
- *Correspondence: Bingjiang Liu, ; Xiong Wu,
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Yu Q, Ling Y, Xiong Y, Zhao W, Xiong Y, Dong Z, Yang J, Zhao J, Zhang X, Ma X. RAD-seq as an effective strategy for heterogenous variety identification in plants-a case study in Italian Ryegrass (Lolium multiflorum). BMC PLANT BIOLOGY 2022; 22:231. [PMID: 35513782 PMCID: PMC9069751 DOI: 10.1186/s12870-022-03617-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/21/2022] [Indexed: 06/02/2023]
Abstract
The primary approach for variety distinction in Italian ryegrass is currently the DUS (distinctness, uniformity and stability) test based on phenotypic traits. Considering the diverse genetic background within the population and the complexity of the environment, however, it is challenging to accurately distinguish varieties based on DUS criteria alone. In this study, we proposed the application of high-throughput RAD-seq to distinguish 11 Italian ryegrass varieties with three bulks of 50 individuals per variety. Our findings revealed significant differences among the 11 tested varieties. The PCA, DAPC and STRUCTURE analysis indicated a heterogeneous genetic background for all of them, and the AMOVA analysis also showed large genetic variance among these varieties (ΦST = 0.373), which were clearly distinguished based on phylogenetic analysis. Further nucleotide diversity (Pi) analysis showed that the variety 'Changjiang No.2' had the best intra-variety consistency among 11 tested varieties. Our findings suggest that the RAD-seq could be an effectively alternative method for the variety distinction of Italian ryegrass, as well as a potential tool for open-pollinated varieties (OPVs) of other allogamous species.
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Affiliation(s)
- Qingqing Yu
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Yao Ling
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Yanli Xiong
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Wenda Zhao
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Yi Xiong
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Zhixiao Dong
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Jian Yang
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Junming Zhao
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Xinquan Zhang
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
| | - Xiao Ma
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130 China
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Park JS, Kang MY, Shim EJ, Oh J, Seo KI, Kim KS, Sim SC, Chung SM, Park Y, Lee GP, Lee WS, Kim M, Jung JK. Genome-wide core sets of SNP markers and Fluidigm assays for rapid and effective genotypic identification of Korean cultivars of lettuce ( Lactuca sativa L.). HORTICULTURE RESEARCH 2022; 9:uhac119. [PMID: 35928401 PMCID: PMC9343917 DOI: 10.1093/hr/uhac119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 05/04/2022] [Indexed: 05/08/2023]
Abstract
Lettuce is one of the economically important leaf vegetables and is cultivated mainly in temperate climate areas. Cultivar identification based on the distinctness, uniformity, and stability (DUS) test is a prerequisite for new cultivar registration. However, DUS testing based on morphological features is time-consuming, labor-intensive, and costly, and can also be influenced by environmental factors. Thus, molecular markers have also been used for the identification of genetic diversity as an effective, accurate, and stable method. Currently, genome-wide single nucleotide polymorphisms (SNPs) using next-generation sequencing technology are commonly applied in genetic research on diverse plant species. This study aimed to establish an effective and high-throughput cultivar identification system for lettuce using core sets of SNP markers developed by genotyping by sequencing (GBS). GBS identified 17 877 high-quality SNPs for 90 commercial lettuce cultivars. Genetic differentiation analyses based on the selected SNPs classified the lettuce cultivars into three main groups. Core sets of 192, 96, 48, and 24 markers were further selected and validated using the Fluidigm platform. Phylogenetic analyses based on all core sets of SNPs successfully discriminated individual cultivars that have been currently recognized. These core sets of SNP markers will support the construction of a DNA database of lettuce that can be useful for cultivar identification and purity testing, as well as DUS testing in the plant variety protection system. Additionally, this work will facilitate genetic research to improve breeding in lettuce.
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Affiliation(s)
- Jee-Soo Park
- Seed Testing and Research Center, Korea Seed & Variety Service, Gimcheon 39660, Republic of Korea
| | - Min-Young Kang
- Seed Testing and Research Center, Korea Seed & Variety Service, Gimcheon 39660, Republic of Korea
| | - Eun-Jo Shim
- Seed Testing and Research Center, Korea Seed & Variety Service, Gimcheon 39660, Republic of Korea
| | - JongHee Oh
- Seed Testing and Research Center, Korea Seed & Variety Service, Gimcheon 39660, Republic of Korea
| | - Kyoung-In Seo
- Seed Testing and Research Center, Korea Seed & Variety Service, Gimcheon 39660, Republic of Korea
| | - Kyung Seok Kim
- Department of Natural Resource Ecology and Management, Iowa State University, Ames IA 50011, USA
| | - Sung-Chur Sim
- Department of Bioresources Engineering, Sejong University, Seoul 05006, Republic of Korea
| | - Sang-Min Chung
- Department of Life Sciences, Dongguk University, Seoul 04620, Republic of Korea
| | - Younghoon Park
- Department of Horticultural Bioscience, Pusan National University, Miryang 50463, South Korea
| | - Gung Pyo Lee
- Department of Plant Science and Technology, Chung-Ang University, Ansung 17546, South Korea
| | - Won-Sik Lee
- Seed Testing and Research Center, Korea Seed & Variety Service, Gimcheon 39660, Republic of Korea
| | - Minkyung Kim
- Department of Bioresources Engineering, Sejong University, Seoul 05006, Republic of Korea
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Shaibu AS, Ibrahim H, Miko ZL, Mohammed IB, Mohammed SG, Yusuf HL, Kamara AY, Omoigui LO, Karikari B. Assessment of the Genetic Structure and Diversity of Soybean ( Glycine max L.) Germplasm Using Diversity Array Technology and Single Nucleotide Polymorphism Markers. PLANTS (BASEL, SWITZERLAND) 2021; 11:68. [PMID: 35009071 PMCID: PMC8747349 DOI: 10.3390/plants11010068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/11/2021] [Accepted: 12/14/2021] [Indexed: 11/20/2022]
Abstract
Knowledge of the genetic structure and diversity of germplasm collections is crucial for sustainable genetic improvement through hybridization programs and rapid adaptation to changing breeding objectives. The objective of this study was to determine the genetic diversity and population structure of 281 International Institute of Tropical Agriculture (IITA) soybean accessions using diversity array technology (DArT) and single nucleotide polymorphism (SNP) markers for the efficient utilization of these accessions. From the results, the SNP and DArT markers were well distributed across the 20 soybean chromosomes. The cluster and principal component analyses revealed the genetic diversity among the 281 accessions by grouping them into two stratifications, a grouping that was also evident from the population structure analysis, which divided the 281 accessions into two distinct groups. The analysis of molecular variance revealed that 97% and 98% of the genetic variances using SNP and DArT markers, respectively, were within the population. Genetic diversity indices such as Shannon's diversity index, diversity and unbiased diversity revealed the diversity among the different populations of the soybean accessions. The SNP and DArT markers used provided similar information on the structure, diversity and polymorphism of the accessions, which indicates the applicability of the DArT marker in genetic diversity studies. Our study provides information about the genetic structure and diversity of the IITA soybean accessions that will allow for the efficient utilization of these accessions in soybean improvement programs, especially in Africa.
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Affiliation(s)
- Abdulwahab S. Shaibu
- Department of Agronomy, Bayero University Kano, Kano 700001, Nigeria; (H.I.); (Z.L.M.); (I.B.M.)
| | - Hassan Ibrahim
- Department of Agronomy, Bayero University Kano, Kano 700001, Nigeria; (H.I.); (Z.L.M.); (I.B.M.)
| | - Zainab L. Miko
- Department of Agronomy, Bayero University Kano, Kano 700001, Nigeria; (H.I.); (Z.L.M.); (I.B.M.)
| | - Ibrahim B. Mohammed
- Department of Agronomy, Bayero University Kano, Kano 700001, Nigeria; (H.I.); (Z.L.M.); (I.B.M.)
| | - Sanusi G. Mohammed
- Centre for Dryland Agriculture, Bayero University Kano, Kano 700001, Nigeria;
| | - Hauwa L. Yusuf
- Department of Food Science and Technology, Bayero University Kano, Kano 700001, Nigeria;
| | - Alpha Y. Kamara
- International Institute of Tropical Agriculture, Ibadan 200211, Nigeria; (A.Y.K.); (L.O.O.)
| | - Lucky O. Omoigui
- International Institute of Tropical Agriculture, Ibadan 200211, Nigeria; (A.Y.K.); (L.O.O.)
| | - Benjamin Karikari
- Department of Crop Science, Faculty of Agriculture, Food and Consumer Sciences, University for Development Studies, P.O. Box TL 1882, Tamale 00233, Ghana;
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Azizi MMF, Lau HY, Abu-Bakar N. Integration of advanced technologies for plant variety and cultivar identification. J Biosci 2021. [DOI: 10.1007/s12038-021-00214-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Plant Variety Protection: Current Practices and Insights. Genes (Basel) 2021; 12:genes12081127. [PMID: 34440301 PMCID: PMC8392850 DOI: 10.3390/genes12081127] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 07/20/2021] [Accepted: 07/22/2021] [Indexed: 11/17/2022] Open
Abstract
Breeders persistently supply farmers with the best varieties in order to exceed consumer demand through plant-breeding processes that are resource-intensive. In order to motivate continuous innovation in variety development, a system needs to provide incentives for plant breeders to develop superior varieties, for example, exclusive ownership to produce and market those varieties. The most common system is the acquisition of intellectual property protection through plant variety protection, also known as the breeder’s right. Most countries have adopted the system established by the International Union for the Protection of New Varieties of Plants (UPOV). To be granted plant variety protection, the variety should prove to be unique by meeting three requirements: distinctness, uniformity, and stability. This review summarizes (1) the plant variety protection via UPOV convention, (2) technical methods for distinctness, uniformity, and stability testing via phenotype, molecular markers, and sequencing as well as their challenges and potentiality, and (3) additional discussions in essentially derived variety, value for cultivation and use testing, and open source seed initiative.
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Bohra A, Chand Jha U, Godwin ID, Kumar Varshney R. Genomic interventions for sustainable agriculture. PLANT BIOTECHNOLOGY JOURNAL 2020; 18:2388-2405. [PMID: 32875704 PMCID: PMC7680532 DOI: 10.1111/pbi.13472] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 07/21/2020] [Accepted: 08/16/2020] [Indexed: 05/05/2023]
Abstract
Agricultural production faces a Herculean challenge to feed the increasing global population. Food production systems need to deliver more with finite land and water resources while exerting the least negative influence on the ecosystem. The unpredictability of climate change and consequent changes in pests/pathogens dynamics aggravate the enormity of the challenge. Crop improvement has made significant contributions towards food security, and breeding climate-smart cultivars are considered the most sustainable way to accelerate food production. However, a fundamental change is needed in the conventional breeding framework in order to respond adequately to the growing food demands. Progress in genomics has provided new concepts and tools that hold promise to make plant breeding procedures more precise and efficient. For instance, reference genome assemblies in combination with germplasm sequencing delineate breeding targets that could contribute to securing future food supply. In this review, we highlight key breakthroughs in plant genome sequencing and explain how the presence of these genome resources in combination with gene editing techniques has revolutionized the procedures of trait discovery and manipulation. Adoption of new approaches such as speed breeding, genomic selection and haplotype-based breeding could overcome several limitations of conventional breeding. We advocate that strengthening varietal release and seed distribution systems will play a more determining role in delivering genetic gains at farmer's field. A holistic approach outlined here would be crucial to deliver steady stream of climate-smart crop cultivars for sustainable agriculture.
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Affiliation(s)
- Abhishek Bohra
- ICAR‐Indian Institute of Pulses Research (IIPR)KanpurIndia
| | - Uday Chand Jha
- ICAR‐Indian Institute of Pulses Research (IIPR)KanpurIndia
| | - Ian D. Godwin
- Centre for Crop ScienceQueensland Alliance for Agriculture and Food Innovation (QAAFI)The University of QueenslandBrisbaneQldAustralia
| | - Rajeev Kumar Varshney
- International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
- The UWA Institute of AgricultureThe University of Western AustraliaPerthAustralia
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Genetic Improvement of Cereals and Grain Legumes. Genes (Basel) 2020; 11:genes11111255. [PMID: 33113769 PMCID: PMC7692374 DOI: 10.3390/genes11111255] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 10/22/2020] [Indexed: 12/24/2022] Open
Abstract
The anticipated population growth by 2050 will be coupled with increased food demand. To achieve higher and sustainable food supplies in order to feed the global population by 2050, a 2.4% rise in the yield of major crops is required. The key to yield improvement is a better understanding of the genetic variation and identification of molecular markers, quantitative trait loci, genes, and pathways related to higher yields and increased tolerance to biotic and abiotic stresses. Advances in genetic technologies are enabling plant breeders and geneticists to breed crop plants with improved agronomic traits. This Special Issue is an effort to report the genetic improvements by adapting genomic techniques and genomic selection.
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