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Srivastav M, Radadiya N, Ramachandra S, Jayaswal PK, Singh N, Singh S, Mahato AK, Tandon G, Gupta A, Devi R, Subrayagowda SH, Kumar G, Prakash P, Singh S, Sharma N, Nagaraja A, Kar A, Rudra SG, Sethi S, Jaiswal S, Iquebal MA, Singh R, Singh SK, Singh NK. High resolution mapping of QTLs for fruit color and firmness in Amrapali/Sensation mango hybrids. FRONTIERS IN PLANT SCIENCE 2023; 14:1135285. [PMID: 37351213 PMCID: PMC10282835 DOI: 10.3389/fpls.2023.1135285] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 05/08/2023] [Indexed: 06/24/2023]
Abstract
Introduction Mango (Mangifera indica L.), acclaimed as the 'king of fruits' in the tropical world, has historical, religious, and economic values. It is grown commercially in more than 100 countries, and fresh mango world trade accounts for ~3,200 million US dollars for the year 2020. Mango is widely cultivated in sub-tropical and tropical regions of the world, with India, China, and Thailand being the top three producers. Mango fruit is adored for its taste, color, flavor, and aroma. Fruit color and firmness are important fruit quality traits for consumer acceptance, but their genetics is poorly understood. Methods For mapping of fruit color and firmness, mango varieties Amrapali and Sensation, having contrasting fruit quality traits, were crossed for the development of a mapping population. Ninety-two bi-parental progenies obtained from this cross were used for the construction of a high-density linkage map and identification of QTLs. Genotyping was carried out using an 80K SNP chip array. Results and discussion Initially, we constructed two high-density linkage maps based on the segregation of female and male parents. A female map with 3,213 SNPs and male map with 1,781 SNPs were distributed on 20 linkages groups covering map lengths of 2,844.39 and 2,684.22cM, respectively. Finally, the integrated map was constructed comprised of 4,361 SNP markers distributed on 20 linkage groups, which consisted of the chromosome haploid number in Mangifera indica (n =20). The integrated genetic map covered the entire genome of Mangifera indica cv. Dashehari, with a total genetic distance of 2,982.75 cM and an average distance between markers of 0.68 cM. The length of LGs varied from 85.78 to 218.28 cM, with a mean size of 149.14 cM. Phenotyping for fruit color and firmness traits was done for two consecutive seasons. We identified important consistent QTLs for 12 out of 20 traits, with integrated genetic linkages having significant LOD scores in at least one season. Important consistent QTLs for fruit peel color are located at Chr 3 and 18, and firmness on Chr 11 and 20. The QTLs mapped in this study would be useful in the marker-assisted breeding of mango for improved efficiency.
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Affiliation(s)
- Manish Srivastav
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Nidhi Radadiya
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Sridhar Ramachandra
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Pawan Kumar Jayaswal
- Genomics Laboratory, Indian Council of Agricultural Research (ICAR)- National Institute for Plant Biotechnology, New Delhi, India
| | - Nisha Singh
- Genomics Laboratory, Indian Council of Agricultural Research (ICAR)- National Institute for Plant Biotechnology, New Delhi, India
| | - Sangeeta Singh
- Genomics Laboratory, Indian Council of Agricultural Research (ICAR)- National Institute for Plant Biotechnology, New Delhi, India
| | - Ajay Kumar Mahato
- Genomics Laboratory, Indian Council of Agricultural Research (ICAR)- National Institute for Plant Biotechnology, New Delhi, India
| | - Gitanjali Tandon
- Division of Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Ankit Gupta
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Rajni Devi
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Sreekanth Halli Subrayagowda
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Gulshan Kumar
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Pragya Prakash
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Shivani Singh
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Nimisha Sharma
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - A. Nagaraja
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Abhijit Kar
- Division of Food Science and Postharvest Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Shalini Gaur Rudra
- Division of Food Science and Postharvest Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Shruti Sethi
- Division of Food Science and Postharvest Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Sarika Jaiswal
- Division of Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Mir Asif Iquebal
- Division of Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Rakesh Singh
- Division of Genomic Resources, Indian Council of Agricultural Research (ICAR)- National Bureau of Plant Genetic Resources, New Delhi, India
| | - Sanjay Kumar Singh
- Division of Fruits and Horticultural Technology, Indian Council of Agricultural Research (ICAR)- Indian Agricultural Research Institute, New Delhi, India
| | - Nagendra Kumar Singh
- Genomics Laboratory, Indian Council of Agricultural Research (ICAR)- National Institute for Plant Biotechnology, New Delhi, India
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Chiu CC, Pelletier G, Stival Sena J, Roux-Dalvai F, Prunier J, Droit A, Séguin A. Integrative analysis of green ash phloem transcripts and proteins during an emerald ash borer infestation. BMC PLANT BIOLOGY 2023; 23:123. [PMID: 36869316 PMCID: PMC9983263 DOI: 10.1186/s12870-023-04108-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Emerald ash borer (Agrilus planipennis; EAB) is an Asian insect species that has been invasive to North America for 20 years. During this time, the emerald ash borer has killed tens of millions of American ash (Fraxinus spp) trees. Understanding the inherent defenses of susceptible American ash trees will provide information to breed new resistant varieties of ash trees. RESULTS We have performed RNA-seq on naturally infested green ash (F. pennsylvanica) trees at low, medium and high levels of increasing EAB infestation and proteomics on low and high levels of EAB infestation. Most significant transcript changes we detected occurred between the comparison of medium and high levels of EAB infestation, indicating that the tree is not responding to EAB until it is highly infested. Our integrative analysis of the RNA-Seq and proteomics data identified 14 proteins and 4 transcripts that contribute most to the difference between highly infested and low infested trees. CONCLUSIONS The putative functions of these transcripts and proteins suggests roles of phenylpropanoid biosynthesis and oxidation, chitinase activity, pectinesterase activity, strigolactone signaling, and protein turnover.
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Affiliation(s)
- Christine C Chiu
- Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada, Quebec City, QC, Canada.
| | - Gervais Pelletier
- Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada, Quebec City, QC, Canada
| | - Juliana Stival Sena
- Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada, Quebec City, QC, Canada
| | - Florence Roux-Dalvai
- CHU de Québec-Laval University Research Centre, Université Laval, QC, Quebec City, Canada
| | - Julien Prunier
- CHU de Québec-Laval University Research Centre, Université Laval, QC, Quebec City, Canada
| | - Arnaud Droit
- CHU de Québec-Laval University Research Centre, Université Laval, QC, Quebec City, Canada
| | - Armand Séguin
- Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada, Quebec City, QC, Canada
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Bai Q, He B, Cai Y, Lian H, Zhang Q, Liang D, Wang Y. Genetic Diversity and Population Structure of Schima superba From Southern China. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.879512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The tree Schima superba is important for afforestation and fire prevention in southern China. The wood of this tree can also be used for furniture and buildings. However, the lack of genetic background and genomic information for this species has lowered wood yield speed and quality improvement. Here, we aimed to discover genome-wide single nucleotide polymorphisms (SNPs) in 302 S. superba germplasms collected from southern China and to use these SNPs to investigate the population structure. Using genotyping by sequencing, a total of 785 high-quality SNP markers (minor allele frequency [MAF] ≥ 0.05) were identified from 302 accessions collected from seven geographical locations. Population structure analyses and principal coordinate analyses (PCoAs) indicated that these germplasm resources can be clearly separated into different populations. The S. superba accessions originating from Yunnan (YN) and Guangxi (GX) fell into the same population, separate from the accessions originating from Guangdong (GD), which indicated that these two regions should be regarded as major provenances of this species. In addition, two independent core germplasm sets with abundant genetic polymorphisms were constructed to support the breeding work. The identification of SNP markers, analyses of population genetics, and construction of core germplasm sets will greatly promote the molecular breeding work of S. superba.
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Huff M, Seaman J, Wu D, Zhebentyayeva T, Kelly LJ, Faridi N, Nelson CD, Cooper E, Best T, Steiner K, Koch J, Romero Severson J, Carlson JE, Buggs R, Staton M. A high quality reference genome for Fraxinus pennsylvanica for ash species restoration and research. Mol Ecol Resour 2021; 22:1284-1302. [PMID: 34748273 PMCID: PMC9299157 DOI: 10.1111/1755-0998.13545] [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: 08/26/2021] [Revised: 10/27/2021] [Accepted: 10/28/2021] [Indexed: 11/30/2022]
Abstract
Green ash (Fraxinus pennsylvanica) is the most widely distributed ash tree in North America. Once common, it has experienced high mortality from the non‐native invasive emerald ash borer (EAB; Agrilus planipennis). A small percentage of native green ash trees that remain healthy in long‐infested areas, termed “lingering ash,” display partial resistance to the insect, indicating that breeding and propagating populations with higher resistance to EAB may be possible. To assist in ash breeding, ecology and evolution studies, we report the first chromosome‐level assembly from the genus Fraxinus for F. pennsylvanica with over 99% of bases anchored to 23 haploid chromosomes, spanning 757 Mb in total, composed of 49.43% repetitive DNA, and containing 35,470 high‐confidence gene models assigned to 22,976 Asterid orthogroups. We also present results of range‐wide genetic variation studies, the identification of candidate genes for important traits including potential EAB‐resistance genes, and an investigation of comparative genome organization among Asterids based on this reference genome platform. Residual duplicated regions within the genome probably resulting from a recent whole genome duplication event in Oleaceae were visualized in relation to wild olive (Olea europaea var. sylvestris). We used our F. pennsylvanica chromosome assembly to construct reference‐guided assemblies of 27 previously sequenced Fraxinus taxa, including F. excelsior. Thus, we present a significant step forward in genomic resources for research and protection of Fraxinus species.
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Affiliation(s)
- Matt Huff
- Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, Knoxville, TN, United States
| | - Josiah Seaman
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.,Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Di Wu
- Department of Ecosystem Science and Management, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Tetyana Zhebentyayeva
- Department of Ecosystem Science and Management, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Laura J Kelly
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.,Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Nurul Faridi
- USDA Forest Service, Southern Research Station, Saucier, Mississippi, USA.,Department of Ecosystem Science and Management, Texas A&M University, College Station, Texas, USA
| | - Charles Dana Nelson
- USDA Forest Service, Southern Research Station, Saucier, Mississippi, USA.,Forest Health Research and Education Center, University of Kentucky, Lexington, Kentucky, USA
| | - Endymion Cooper
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Teodora Best
- Department of Ecosystem Science and Management, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Kim Steiner
- Department of Ecosystem Science and Management, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Jennifer Koch
- United States Department of Agriculture, Forest Service, Northern Research Station, Delaware, Ohio, USA
| | - Jeanne Romero Severson
- Department of Biological Sciences, Notre Dame University, 46556, Notre Dame, Indiana, USA
| | - John E Carlson
- Department of Ecosystem Science and Management, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Richard Buggs
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK.,Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Margaret Staton
- Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, Knoxville, TN, United States
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Luo X, Liu J. Fluorescence In Situ Hybridization (FISH) Analysis of the Locations of the Oligonucleotides 5S rDNA, (AGGGTTT) 3, and (TTG) 6 in Three Genera of Oleaceae and Their Phylogenetic Framework. Genes (Basel) 2019; 10:genes10050375. [PMID: 31108932 PMCID: PMC6562466 DOI: 10.3390/genes10050375] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 05/09/2019] [Accepted: 05/10/2019] [Indexed: 11/29/2022] Open
Abstract
We report the cytogenetic map for a collection of species in the Oleaceae, and test similarities among the karyotypes relative to their known species phylogeny. The oligonucleotides 5S ribosomal DNA (rDNA), (AGGGTTT)3, and (TTG)6 were used as fluorescence in situ hybridization (FISH) probes to locate the corresponding chromosomes in three Oleaceae genera: Fraxinus pennsylvanica, Syringa oblata, Ligustrum lucidum, and Ligustrum × vicaryi. Forty-six small chromosomes were identified in four species. (AGGGTTT)3 signals were observed on almost all chromosome ends of four species, but (AGGGTTT)3 played no role in distinguishing the chromosomes but displayed intact chromosomes and could thus be used as a guide for finding chromosome counts. (TTG)6 and 5S rDNA signals discerned several chromosomes located at subterminal or central regions. Based on the similarity of the signal pattern (mainly in number and location and less in intensity) of the four species, the variations in the 5S rDNA and (TTG)6 distribution can be ordered as L. lucidum < L. × vicaryi < F. pennsylvanica < S. oblata. Variations have observed in the three genera. The molecular cytogenetic data presented here might serve as a starting point for further larger-scale elucidation of the structure of the Oleaceae genome, and comparison with the known phylogeny of Oleaceae family.
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Affiliation(s)
- Xiaomei Luo
- College of Forestry, Sichuan Agricultural University, Wenjiang District, Chengdu 611130, China.
| | - Juncheng Liu
- College of Forestry, Sichuan Agricultural University, Wenjiang District, Chengdu 611130, China.
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