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Gastelbondo M, Nicholls U, Chen S, Chambers A, Wu X. First Gynogenesis of Vanilla planifolia for Haploid Production and Ploidy Verification Protocol. PLANTS (BASEL, SWITZERLAND) 2024; 13:1733. [PMID: 38999575 PMCID: PMC11243312 DOI: 10.3390/plants13131733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/19/2024] [Accepted: 06/20/2024] [Indexed: 07/14/2024]
Abstract
Vanilla orchids are members of the Vanilloideae orchid subfamily, and they hold significant economic value as a spice crop in tropical regions. Despite the presence of 180 known species within this subfamily, commercial production focuses on only three species (Vanilla planifolia, V. odorata, and V. pompona) and one hybrid (V. × tahitensis), prized for their aromatic qualities and bioactive compounds. Limited modern breeding initiatives have been undertaken with vanilla orchids, although recent advancements in genomic research are shedding light on this crop's potential. The protracted breeding cycle of vanilla, coupled with increasing demand for germplasm, underscores the importance of research and breeding efforts in vanilla. This paper outlines a protocol for haploid production in V. planifolia using unfertilized ovaries in tissue culture conditions. Additionally, we present a methodology to confirm the haploid nature of putative haploid lines through stomatal size comparison, chromosome counting, and flow cytometry analysis, proving the successful development of haploid vanilla plants. These findings contribute to the advancement of breeding programs and genetic improvement strategies for the vanilla industry.
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Affiliation(s)
- Manuel Gastelbondo
- Plant Breeding Graduate Program, Tropical Research and Education Center, University of Florida, 18905 S.W. 280 Street, Homestead, FL 33031, USA; (M.G.); (S.C.)
| | - Ursula Nicholls
- Horticulture Department, Tropical Research and Education Center, University of Florida, 18905 S.W. 280 Street, Homestead, FL 33031, USA; (U.N.); (A.C.)
| | - Sisi Chen
- Plant Breeding Graduate Program, Tropical Research and Education Center, University of Florida, 18905 S.W. 280 Street, Homestead, FL 33031, USA; (M.G.); (S.C.)
| | - Alan Chambers
- Horticulture Department, Tropical Research and Education Center, University of Florida, 18905 S.W. 280 Street, Homestead, FL 33031, USA; (U.N.); (A.C.)
| | - Xingbo Wu
- Plant Breeding Graduate Program, Tropical Research and Education Center, University of Florida, 18905 S.W. 280 Street, Homestead, FL 33031, USA; (M.G.); (S.C.)
- Environmental Horticulture Department, Tropical Research and Education Center, University of Florida, 18905 S.W. 280 Street, Homestead, FL 33031, USA
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Kang H, Huang T, Duan G, Meng Y, Chen X, He S, Xia Z, Zhou X, Chao J, Tang B, Wang Z, Zhu J, Du Z, Sun Y, Zhang S, Xiao J, Tian W, Wang W, Zhao W. TCOD: an integrated resource for tropical crops. Nucleic Acids Res 2024; 52:D1651-D1660. [PMID: 37843152 PMCID: PMC10767838 DOI: 10.1093/nar/gkad870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/25/2023] [Accepted: 09/29/2023] [Indexed: 10/17/2023] Open
Abstract
Tropical crops are vital for tropical agriculture, with resource scarcity, functional diversity and extensive market demand, providing considerable economic benefits for the world's tropical agriculture-producing countries. The rapid development of sequencing technology has promoted a milestone in tropical crop research, resulting in the generation of massive amount of data, which urgently needs an effective platform for data integration and sharing. However, the existing databases cannot fully satisfy researchers' requirements due to the relatively limited integration level and untimely update. Here, we present the Tropical Crop Omics Database (TCOD, https://ngdc.cncb.ac.cn/tcod), a comprehensive multi-omics data platform for tropical crops. TCOD integrates diverse omics data from 15 species, encompassing 34 chromosome-level de novo assemblies, 1 255 004 genes with functional annotations, 282 436 992 unique variants from 2048 WGS samples, 88 transcriptomic profiles from 1997 RNA-Seq samples and 13 381 germplasm items. Additionally, TCOD not only employs genes as a bridge to interconnect multi-omics data, enabling cross-species comparisons based on homology relationships, but also offers user-friendly online tools for efficient data mining and visualization. In short, TCOD integrates multi-species, multi-omics data and online tools, which will facilitate the research on genomic selective breeding and trait biology of tropical crops.
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Affiliation(s)
- Hailong Kang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianhao Huang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guangya Duan
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuyan Meng
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaoning Chen
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuang He
- Sanya Nanfan Research Institute, Hainan University, Sanya 572025, China
| | - Zhiqiang Xia
- Sanya Nanfan Research Institute, Hainan University, Sanya 572025, China
| | - Xincheng Zhou
- Institute of Tropical Biosciences and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
| | - Jinquan Chao
- Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
| | - Bixia Tang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Zhonghuang Wang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Junwei Zhu
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Zhenglin Du
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Yanlin Sun
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Sisi Zhang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Jingfa Xiao
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weimin Tian
- Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
| | - Wenquan Wang
- Sanya Nanfan Research Institute, Hainan University, Sanya 572025, China
| | - Wenming Zhao
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Favre F, Jourda C, Grisoni M, Chiroleu F, Dijoux JB, Jade K, Rivallan R, Besse P, Charron C. First Vanilla planifolia High-Density Genetic Linkage Map Provides Quantitative Trait Loci for Resistance to Fusarium oxysporum. PLANT DISEASE 2023; 107:2997-3006. [PMID: 36856646 DOI: 10.1094/pdis-10-22-2386-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Fusarium oxysporum f. sp. radicis-vanillae (Forv), the causal agent of root and stem rot disease, is the main pathogen affecting vanilla production. Sources of resistance have been reported in Vanilla planifolia G. Jackson ex Andrews, the main cultivated vanilla species. In this study, we developed the first high-density genetic map in this species with 1,804 genotyping-by-sequencing (GBS)-generated single nucleotide polymorphism (SNP) markers using 125 selfed progenies of the CR0040 traditional vanilla cultivar. Sixteen linkage groups (LG) were successfully constructed, with a mean of 113 SNPs and an average length of 207 cM per LG. The map had a high density with an average of 5.45 SNP every 10 cM and an average distance of 1.85 cM between adjacent markers. The first three LG were aligned against the first assembled chromosome of CR0040, and the other 13 LG were correctly associated with the other 13 assembled chromosomes. The population was challenged with the highly pathogenic Forv strain Fo072 using the root-dip inoculation method. Five traits were mapped, and 20 QTLs were associated with resistance to Fo072. Among the genes retrieved in the CR0040 physical regions associated with QTLs, genes potentially involved in biotic resistance mechanisms, coding for kinases, E3 ubiquitin ligases, pentatricopeptide repeat-containing proteins, and one leucine-rich repeat receptor underlying the qFo72_08.1 QTL have been highlighted. This study should provide useful resources for marker-assisted selection in V. planifolia.
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Affiliation(s)
- Félicien Favre
- University of Reunion Island, UMR PVBMT, F-97410 St. Pierre, Reunion Island, France
| | - Cyril Jourda
- CIRAD, UMR PVBMT, F-97410 St Pierre, Reunion Island, France
| | | | | | | | - Katia Jade
- CIRAD, UMR PVBMT, F-97410 St Pierre, Reunion Island, France
| | - Ronan Rivallan
- CIRAD, UMR AGAP, F-34398 Montpellier, France
- AGAP, University of Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France
| | - Pascale Besse
- University of Reunion Island, UMR PVBMT, F-97410 St. Pierre, Reunion Island, France
| | - Carine Charron
- CIRAD, UMR PVBMT, F-97410 St Pierre, Reunion Island, France
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Das P, Chandra T, Negi A, Jaiswal S, Iquebal MA, Rai A, Kumar D. A comprehensive review on genomic resources in medicinally and industrially important major spices for future breeding programs: Status, utility and challenges. Curr Res Food Sci 2023; 7:100579. [PMID: 37701635 PMCID: PMC10494321 DOI: 10.1016/j.crfs.2023.100579] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/21/2023] [Accepted: 08/26/2023] [Indexed: 09/14/2023] Open
Abstract
In the global market, spices possess a high-value but low-volume commodities of commerce. The food industry depends largely on spices for taste, flavor, and therapeutic properties in replacement of cheap synthetic ones. The estimated growth rate for spices demand in the world is ∼3.19%. Since spices grow in limited geographical regions, India is one of the leading producer of spices, contributing 25-30 percent of total world trade. Hitherto, there has been no comprehensive review of the genomic resources of industrially important major medicinal spices to overcome major impediments in varietal improvement and management. This review focuses on currently available genomic resources of 24 commercially significant spices, namely, Ajwain, Allspice, Asafoetida, Black pepper, Cardamom large, Cardamom small, Celery, Chillies, Cinnamon, Clove, Coriander, Cumin, Curry leaf, Dill seed, Fennel, Fenugreek, Garlic, Ginger, Mint, Nutmeg, Saffron, Tamarind, Turmeric and Vanilla. The advent of low-cost sequencing machines has contributed immensely to the voluminous data generation of these spices, cracking the complex genomic architecture, marker discovery, and understanding comparative and functional genomics. This review of spice genomics resources concludes the perspective and way forward to provide footprints by uncovering genome assemblies, sequencing and re-sequencing projects, transcriptome-based studies, non-coding RNA-mediated regulation, organelles-based resources, developed molecular markers, web resources, databases and AI-directed resources in candidate spices for enhanced breeding potential in them. Further, their integration with molecular breeding could be of immense use in formulating a strategy to protect and expand the production of the spices due to increased global demand.
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Affiliation(s)
- Parinita Das
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Tilak Chandra
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Ankita Negi
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Sarika Jaiswal
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Mir Asif Iquebal
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Anil Rai
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Dinesh Kumar
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
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Kołodziejczyk I, Tomczyk P, Kaźmierczak A. Endoreplication-Why Are We Not Using Its Full Application Potential? Int J Mol Sci 2023; 24:11859. [PMID: 37511616 PMCID: PMC10380914 DOI: 10.3390/ijms241411859] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/17/2023] [Accepted: 07/20/2023] [Indexed: 07/30/2023] Open
Abstract
Endoreplication-a process that is common in plants and also accompanies changes in the development of animal organisms-has been seen from a new perspective in recent years. In the paper, we not only shed light on this view, but we would also like to promote an understanding of the application potential of this phenomenon in plant cultivation. Endoreplication is a pathway for cell development, slightly different from the classical somatic cell cycle, which ends with mitosis. Since many rounds of DNA synthesis take place within its course, endoreplication is a kind of evolutionary compensation for the relatively small amount of genetic material that plants possess. It allows for its multiplication and active use through transcription and translation. The presence of endoreplication in plants has many positive consequences. In this case, repeatedly produced copies of genes, through the corresponding transcripts, help the plant acquire the favorable properties for which proteins are responsible directly or indirectly. These include features that are desirable in terms of cultivation and marketing: a greater saturation of fruit and flower colors, a stronger aroma, a sweeter fruit taste, an accumulation of nutrients, an increased resistance to biotic and abiotic stress, superior tolerance to adverse environmental conditions, and faster organ growth (and consequently the faster growth of the whole plant and its biomass). The two last features are related to the nuclear-cytoplasmic ratio-the greater the content of DNA in the nucleus, the higher the volume of cytoplasm, and thus the larger the cell size. Endoreplication not only allows cells to reach larger sizes but also to save the materials used to build organelles, which are then passed on to daughter cells after division, thus ending the classic cell cycle. However, the content of genetic material in the cell nucleus determines the number of corresponding organelles. The article also draws attention to the potential practical applications of the phenomenon and the factors currently limiting its use.
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Affiliation(s)
- Izabela Kołodziejczyk
- Department of Geobotany and Plant Ecology, Faculty of Biology and Environmental Protection, University of Lodz, Banacha 12/14, 90237 Lodz, Poland
| | - Przemysław Tomczyk
- The National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, 96100 Skierniewice, Poland
| | - Andrzej Kaźmierczak
- Department of Cytophysiology, Faculty of Biology and Environmental Protection, University of Lodz, Pomorska 141/143, 90237 Lodz, Poland
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Zhu X, Tang J, Jiang H, Yang Y, Chen Z, Zou R, Xu A, Luo Y, Deng Z, Wei X, Chai S. Genomic evidence reveals high genetic diversity in a narrowly distributed species and natural hybridization risk with a widespread species in the genus Geodorum. BMC PLANT BIOLOGY 2023; 23:317. [PMID: 37316828 PMCID: PMC10265804 DOI: 10.1186/s12870-023-04285-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/15/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND Understanding genetic diversity is a core issue in conservation genetics. However, previous genetic diversity evaluations of narrowly distributed species have rarely used closely related widespread species as a reference. Furthermore, identifying natural hybridization signals between narrowly and widely distributed sympatric species is of great importance for the development of species conservation programs. METHODS In this study, population genotyping by sequencing (GBS) was performed for a narrowly distributed species, Geodorum eulophioides (endemic and endangered in Southwest China), and a widespread species, G. densiflorum. A total of 18,490 high-quality single nucleotide polymorphisms (SNPs) were identified at the whole-genome level. RESULTS The results showed that the nucleotide diversity and heterozygosity of G. eulophioides were significantly higher than those of G. densiflorum, confirming that narrowly distributed species can still preserve high genetic diversity. Consistent with taxonomic boundaries, all sampled individuals from the two species were divided into two genetic clusters and showed high genetic differentiation between species. However, in a sympatric population, a few G. eulophioides individuals were detected with genetic components from G. densiflorum, suggesting potential interspecific natural hybridization. This hypothesis was supported by Treemix analysis and hand-hybridization trials. Invasion of the habitat of G. eulophioides invasion by G. densiflorum under anthropogenic disturbance may be the main factor causing interspecific hybridization. CONCLUSIONS Therefore, reducing or avoiding habitat disturbance is a key measure to protect the G. eulophioides populations. This study provides valuable information for future conservation programs for narrowly distributed species.
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Affiliation(s)
- Xianliang Zhu
- Guangxi Key Laboratory of Plant Functional Phytochemicals and Sustainable Utilization, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, 541006 China
| | - Jianmin Tang
- Guangxi Key Laboratory of Plant Functional Phytochemicals and Sustainable Utilization, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, 541006 China
| | - Haidu Jiang
- Guangxi Key Laboratory of Plant Functional Phytochemicals and Sustainable Utilization, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, 541006 China
| | - Yishan Yang
- Guangxi Key Laboratory of Plant Functional Phytochemicals and Sustainable Utilization, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, 541006 China
| | - Zongyou Chen
- Guangxi Key Laboratory of Plant Functional Phytochemicals and Sustainable Utilization, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, 541006 China
| | - Rong Zou
- Guangxi Key Laboratory of Plant Functional Phytochemicals and Sustainable Utilization, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, 541006 China
| | - Aizhu Xu
- Guangxi Key Laboratory of Plant Functional Phytochemicals and Sustainable Utilization, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, 541006 China
- College of Tourism and Landscape Architecture, Guilin University of Technology, Guilin, Guangxi 541006 China
| | - Yajin Luo
- Yachang Orchid National Nature Reserve Management Center, Baise, Guangxi 533209 China
| | - Zhenhai Deng
- Yachang Orchid National Nature Reserve Management Center, Baise, Guangxi 533209 China
| | - Xiao Wei
- Guangxi Key Laboratory of Plant Functional Phytochemicals and Sustainable Utilization, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, 541006 China
| | - Shengfeng Chai
- Guangxi Key Laboratory of Plant Functional Phytochemicals and Sustainable Utilization, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region and Chinese Academy of Sciences, Guilin, 541006 China
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Diagnostic KASP markers differentiate Vanilla planifolia, V. odorata, V. pompona, and their hybrids using leaf or cured pod tissues. Mol Biol Rep 2023; 50:707-717. [PMID: 36370295 DOI: 10.1007/s11033-022-08085-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/02/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND Vanilla is a globally important spice crop used in a variety of food, cosmetic, and pharmaceutical products. V. planifolia is the primary commercial species with V. x tahitensis also permissible for food use. Other aromatic species, including V. pompona, are used for food throughout Central and South America. Supply chain complexity hinders the vanilla bean industry and can lead to false claims of genetic and geographical origins to obtain higher prices. Beans of some species can be differentiated by experienced buyers, but hybrids and morphological differences caused by environmental variability or disease would best be resolved by diagnostic tests. METHODS AND RESULTS: Kompetitive Allele Specific Polymerase Chain Reaction is a widely used molecular marker that can genotype single nucleotide polymorphisms efficiently and inexpensively. Assays were designed to differentiate V. planifolia, V. x tahitensis, and V. pompona using publicly available vanilla genomics data. Ten KASP assays on chromosomes 1 through 7, the ITS region, and plastid-encoded rbcL gene successfully differentiated V. planifolia, V. odorata, and V. x tahitensis. Additional KASP assays on chromosomes 1 through 4, the ITS region, and rbcL gene successfully differentiated V. planifolia and V. pompona. Further, a method for extracting KASP-quality DNA from cured vanilla bean seeds was developed and successfully differentiated V. planifolia, V. odorata, V. x tahitensis, V. pompona, and their hybrids. CONCLUSION The methods and results from this study can be used to identify interspecific hybrids, ensure the authenticity of cured vanilla beans, and reduce abuse within the vanilla supply chain.
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Zhang D, Zhao XW, Li YY, Ke SJ, Yin WL, Lan S, Liu ZJ. Advances and prospects of orchid research and industrialization. HORTICULTURE RESEARCH 2022; 9:uhac220. [PMID: 36479582 PMCID: PMC9720451 DOI: 10.1093/hr/uhac220] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 09/22/2022] [Indexed: 06/17/2023]
Abstract
Orchidaceae is one of the largest, most diverse families in angiosperms with significant ecological and economical values. Orchids have long fascinated scientists by their complex life histories, exquisite floral morphology and pollination syndromes that exhibit exclusive specializations, more than any other plants on Earth. These intrinsic factors together with human influences also make it a keystone group in biodiversity conservation. The advent of sequencing technologies and transgenic techniques represents a quantum leap in orchid research, enabling molecular approaches to be employed to resolve the historically interesting puzzles in orchid basic and applied biology. To date, 16 different orchid genomes covering four subfamilies (Apostasioideae, Vanilloideae, Epidendroideae, and Orchidoideae) have been released. These genome projects have given rise to massive data that greatly empowers the studies pertaining to key innovations and evolutionary mechanisms for the breadth of orchid species. The extensive exploration of transcriptomics, comparative genomics, and recent advances in gene engineering have linked important traits of orchids with a multiplicity of gene families and their regulating networks, providing great potential for genetic enhancement and improvement. In this review, we summarize the progress and achievement in fundamental research and industrialized application of orchids with a particular focus on molecular tools, and make future prospects of orchid molecular breeding and post-genomic research, providing a comprehensive assemblage of state of the art knowledge in orchid research and industrialization.
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Affiliation(s)
- Diyang Zhang
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Xue-Wei Zhao
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Yuan-Yuan Li
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Shi-Jie Ke
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
- College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Wei-Lun Yin
- College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Siren Lan
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
| | - Zhong-Jian Liu
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China
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Song C, Wang Y, Manzoor MA, Mao D, Wei P, Cao Y, Zhu F. In-depth analysis of genomes and functional genomics of orchid using cutting-edge high-throughput sequencing. FRONTIERS IN PLANT SCIENCE 2022; 13:1018029. [PMID: 36212315 PMCID: PMC9539832 DOI: 10.3389/fpls.2022.1018029] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 09/05/2022] [Indexed: 06/01/2023]
Abstract
High-throughput sequencing technology has been facilitated the development of new methodologies and approaches for studying the origin and evolution of plant genomes and subgenomes, population domestication, and functional genomics. Orchids have tens of thousands of members in nature. Many of them have promising application potential in the extension and conservation of the ecological chain, the horticultural use of ornamental blossoms, and the utilization of botanical medicines. However, a large-scale gene knockout mutant library and a sophisticated genetic transformation system are still lacking in the improvement of orchid germplasm resources. New gene editing tools, such as the favored CRISPR-Cas9 or some base editors, have not yet been widely applied in orchids. In addition to a large variety of orchid cultivars, the high-precision, high-throughput genome sequencing technology is also required for the mining of trait-related functional genes. Nowadays, the focus of orchid genomics research has been directed to the origin and classification of species, genome evolution and deletion, gene duplication and chromosomal polyploidy, and flower morphogenesis-related regulation. Here, the progressing achieved in orchid molecular biology and genomics over the past few decades have been discussed, including the evolution of genome size and polyploidization. The frequent incorporation of LTR retrotransposons play important role in the expansion and structural variation of the orchid genome. The large-scale gene duplication event of the nuclear genome generated plenty of recently tandem duplicated genes, which drove the evolution and functional divergency of new genes. The evolution and loss of the plastid genome, which mostly affected genes related to photosynthesis and autotrophy, demonstrated that orchids have experienced more separate transitions to heterotrophy than any other terrestrial plant. Moreover, large-scale resequencing provide useful SNP markers for constructing genetic maps, which will facilitate the breeding of novel orchid varieties. The significance of high-throughput sequencing and gene editing technologies in the identification and molecular breeding of the trait-related genes in orchids provides us with a representative trait-improving gene as well as some mechanisms worthy of further investigation. In addition, gene editing has promise for the improvement of orchid genetic transformation and the investigation of gene function. This knowledge may provide a scientific reference and theoretical basis for orchid genome studies.
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Affiliation(s)
- Cheng Song
- College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Yan Wang
- College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | | | - Di Mao
- Albrecht Daniel Thaer Institute for Agricultural and Horticultural Sciences, Humboldt University of Berlin, Berlin, Germany
| | - Peipei Wei
- College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
| | - Yunpeng Cao
- Chinese Academy of Sciences (CAS) Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
| | - Fucheng Zhu
- College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an, China
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