1
|
Maan SS, Brar JS, Mittal A, Gill MIS, Arora NK, Sohi HS, Chhuneja P, Dhillon GS, Singh N, Thakur S. Construction of a genetic linkage map and QTL mapping of fruit quality traits in guava ( Psidium guajava L.). Front Plant Sci 2023; 14:1123274. [PMID: 37426984 PMCID: PMC10324979 DOI: 10.3389/fpls.2023.1123274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 05/08/2023] [Indexed: 07/11/2023]
Abstract
Guava (Psidium guajava L.) is an important fruit crop of the Indian sub-continent, with potential for improvements in quality and yield. The goal of the present study was to construct a genetic linkage map in an intraspecific cross between the elite cultivar 'Allahabad Safeda' and the Purple Guava landrace to identify the genomic regions responsible for important fruit quality traits, viz., total soluble solids, titratable acidity, vitamin C, and sugars. This population was phenotyped in field trials (as a winter crop) for three consecutive years, and showed moderate-to-high values of heterogeneity coefficients along with higher heritability (60.0%-97.0%) and genetic-advance-over-mean values (13.23%-31.17%), suggesting minimal environmental influence on the expression of fruit-quality traits and indicating that these traits can be improved by phenotypic selection methods. Significant correlations and strong associations were also detected among fruit physico-chemical traits in segregating progeny. The constructed linkage map consisted of 195 markers distributed across 11 chromosomes, spanning a length of 1,604.47 cM (average inter-loci distance of 8.80 markers) and with 88.00% coverage of the guava genome. Fifty-eight quantitative trait loci (QTLs) were detected in three environments with best linear unbiased prediction (BLUP) values using the composite interval mapping algorithm of the BIP (biparental populations) module. The QTLs were distributed on seven different chromosomes, explaining 10.95%-17.77% of phenotypic variance, with the highest LOD score being 5.96 for qTSS.AS.pau-6.2. Thirteen QTLs detected across multiple environments with BLUPs indicate stability and utility in a future breeding program for guava. Furthermore, seven QTL clusters with stable or common individual QTLs affecting two or more different traits were located on six linkage groups (LGs), explaining the correlation among fruit-quality traits. Thus, the multiple environmental evaluations conducted here have increased our understanding of the molecular basis of phenotypic variation, providing the basis for future high-resolution fine-mapping and paving the way for marker-assisted breeding of fruit-quality traits.
Collapse
Affiliation(s)
| | | | - Amandeep Mittal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | | | - Naresh Kumar Arora
- Department of Fruit Science, Punjab Agricultural University, Ludhiana, India
| | - Harjot Singh Sohi
- Krishi Vigyan Kendra, Guru Angad Dev Veterinary and Animal Sciences University, Barnala, India
| | - Parveen Chhuneja
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | | | - Navdeep Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Sujata Thakur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| |
Collapse
|
2
|
Sohi HS, Gill MIS, Chhuneja P, Arora NK, Maan SS, Singh J. Construction of Genetic Linkage Map and Mapping QTL Specific to Leaf Anthocyanin Colouration in Mapping Population 'Allahabad Safeda' × 'Purple Guava (Local)' of Guava ( Psidium guajava L.). Plants (Basel) 2022; 11:2014. [PMID: 35956491 PMCID: PMC9370526 DOI: 10.3390/plants11152014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 06/15/2023]
Abstract
In the present investigation, F1 hybrids were developed in guava (Psidium guajava L.) by crossing high leaf-anthocyanin reflective-index (ARI1) content cultivars purple guava (local) 'PG', 'CISH G-1' and low leaf-ARI1 content cultivar Seedless 'SL' with Allahabad Safeda 'AS'. On the basis of phenotypic observations, high ARI1 content was observed in the cross 'AS' × 'PG' (0.214). Further, an SSR-markers-based genetic linkage map was developed from a mapping population of 238 F1 individuals derived from cross 'AS' × 'PG'. The linkage map comprised 11 linkage groups (LGs), spanning 1601.7 cM with an average marker interval distance of 29.61 cM between adjacent markers. Five anthocyanin-content related gene-specific markers from apple were tested for parental polymorphism in the genotypes 'AS' and 'PG'. Subsequently, a marker, viz., 'MdMYB10F1', revealed a strong association with leaf anthocyanin content in the guava mapping population. QTL (qARI-6-1) on LG6 explains much of the variation (PVE = 11.51% with LOD = 4.67) in levels of leaf anthocyanin colouration. This is the first report of amplification/utilization of apple anthocyanin-related genes in guava. The genotypic data generated from the genetic map can be further exploited in future for the enrichment of linkage maps and for identification of complex quantitative trait loci (QTLs) governing economically important fruit quality traits in guava.
Collapse
Affiliation(s)
- Harjot Singh Sohi
- Department of Fruit Science, College of Horticulture and Forestry Punjab Agricultural University, Ludhiana 141004, India; (M.I.S.G.); (N.K.A.); (S.S.M.)
| | - Manav Indra Singh Gill
- Department of Fruit Science, College of Horticulture and Forestry Punjab Agricultural University, Ludhiana 141004, India; (M.I.S.G.); (N.K.A.); (S.S.M.)
| | - Parveen Chhuneja
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141004, India;
| | - Naresh Kumar Arora
- Department of Fruit Science, College of Horticulture and Forestry Punjab Agricultural University, Ludhiana 141004, India; (M.I.S.G.); (N.K.A.); (S.S.M.)
| | - Sukhjinder Singh Maan
- Department of Fruit Science, College of Horticulture and Forestry Punjab Agricultural University, Ludhiana 141004, India; (M.I.S.G.); (N.K.A.); (S.S.M.)
| | - Jagmohan Singh
- Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi 110012, India;
| |
Collapse
|
3
|
Thakur S, Yadav IS, Jindal M, Sharma PK, Dhillon GS, Boora RS, Arora NK, Gill MIS, Chhuneja P, Mittal A. Development of Genome-Wide Functional Markers Using Draft Genome Assembly of Guava ( Psidium guajava L.) cv. Allahabad Safeda to Expedite Molecular Breeding. Front Plant Sci 2021; 12:708332. [PMID: 34630458 PMCID: PMC8494772 DOI: 10.3389/fpls.2021.708332] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 08/24/2021] [Indexed: 06/13/2023]
Abstract
Guava (Psidium guajava L.), a rich source of nutrients, is an important tropical and subtropical fruit of the Myrtaceae family and exhibits magnificent diversity. Genetic diversity analysis is the first step toward the identification of parents for hybridization, genetic mapping, and molecular breeding in any crop species. A diversity analysis based on whole-genome functional markers increases the chances of identifying genetic associations with agronomically important traits. Therefore, here, we sequenced the genome of guava cv. Allahabad Safeda on an Illumina platform and generated a draft assembly of ~304 MB. The assembly of the Allahabad Safeda genome constituted >37.95% repeat sequences, gene prediction with RNA-seq data as evidence identified 14,115 genes, and BLAST n/r, Interproscan, PfamScan, BLAST2GO, and KEGG annotated 13,957 genes. A comparative protein transcript analysis of tree species revealed the close relatedness of guava with Eucalyptus. Comparative transcriptomics-based SSR/InDel/SNP-PCR ready genome-wide markers in greenish-yellow skinned and white fleshed-Allahabad Safeda to four contrasting cultivars viz apple-color-skinned and white-fleshed-Lalima, greenish-yellow-skinned and pink-fleshed-Punjab Pink, purple-black-skinned and purple-fleshed-Purple Local and widely used rootstock-Lucknow-49 were developed. The molecular markers developed here revealed a high level of individual heterozygosity within genotypes in 22 phenotypically diverse guava cultivars. Principal coordinate, STRUCTURE clustering, and neighbor-joining-based genetic diversity analysis identified distinct clusters associated with fruit skin and flesh color. The genome sequencing of guava, functional annotation, comparative transcriptomics-based genome-wide markers, and genetic diversity analysis will expand the knowledge of genomes of climacteric fruits, facilitating trait-based molecular breeding and diversifying the nutritional basket.
Collapse
Affiliation(s)
- Sujata Thakur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Inderjit Singh Yadav
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Manish Jindal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Parva Kumar Sharma
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | | | - Rajbir Singh Boora
- Fruit Research Sub-Station, Punjab Agricultural University, Bahadurgarh, India
| | - Naresh Kumar Arora
- Department of Fruit Science, Punjab Agricultural University, Ludhiana, India
| | | | - Parveen Chhuneja
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Amandeep Mittal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| |
Collapse
|
4
|
Champa WAH, Gill MIS, Mahajan BVC, Arora NK. Preharvest salicylic acid treatments to improve quality and postharvest life of table grapes (Vitis vinifera L.) cv. Flame Seedless. J Food Sci Technol 2014; 52:3607-16. [PMID: 26028743 DOI: 10.1007/s13197-014-1422-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 05/21/2014] [Accepted: 05/26/2014] [Indexed: 11/26/2022]
Abstract
Significance of preharvest salicylic acid (SA) treatments on maturity, quality and postharvest life of grape cv. Flame Seedless were studied during two years. The experiment was performed on 12-year old own rooted, grapevines planted at 3 m × 3 m spacing trained on overhead system. Vines were treated with aqueous solutions of SA (0.0, 1.0, 1.5 and 2.0 mM) at pea stage and at veraison. After harvesting, clusters were divided into two lots in which one was subjected to initial quality evaluation, while the other was stored in cold room (3-4 °C, 90-95 % RH) for evaluation of postharvest quality. SA at the dose of 1.5 and 2.0 mM hastened berry maturity by 3 to 5 days, produced less compact bunches alongside larger berries in contrast to control and the lowest dose. The same doses effectively maintained peel colour, higher firmness, lower pectin methyl esterase activity and electrolyte leakage alongside suppressing degradation of TSS and TA during cold storage. These two doses also exhibited higher efficacy on maintaining anthocyanins, phenols and organoleptic properties while reducing weight loss, rachis browning and decay incidence. Correlation analysis demonstrated that many quality parameters are interdependent. In conclusion, preharvest spray of 1.5 mM SA proved to be an effective means of improving quality and extending postharvest life of grape cv. Flame Seedless.
Collapse
Affiliation(s)
- W A Harindra Champa
- Department of Fruit Science, Punjab Agricultural University, Ludhiana, 141 004 Punjab India ; Research and Development Centre, Institute of Postharvest Technology, Jayanthi Mawatha, Anuradhapura, 50000 Sri Lanka
| | - M I S Gill
- Department of Fruit Science, Punjab Agricultural University, Ludhiana, 141 004 Punjab India
| | - B V C Mahajan
- Punjab Horticultural Post Harvest Technology Centre, Punjab Agricultural University, Ludhiana, Punjab, 141 004 India
| | - N K Arora
- Department of Fruit Science, Punjab Agricultural University, Ludhiana, 141 004 Punjab India
| |
Collapse
|
5
|
Mahajan BVC, Kaur T, Gill MIS, Dhaliwal HS, Ghuman BS, Chahil BS. Studies on optimization of ripening techniques for banana. J Food Sci Technol 2010; 47:315-9. [PMID: 23572644 DOI: 10.1007/s13197-010-0050-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 12/07/2009] [Accepted: 12/12/2009] [Indexed: 10/19/2022]
Abstract
Fruits of banana (Musa spp) cultivar 'Grand Naine' were harvested at physiological green mature stage. The first lot of fruit was exposed to ethylene gas (100 ppm) for 24 h in ripening chamber. The second lot was treated with different concentrations of aqueous solution of ethephon (250, 500, 750, 1000 ppm) each for 5 min. The fruits were packed in plastic crates and stored in ripening chamber maintained at 16-18°C and 90-95% RH. Treatment with ethylene gas (100 ppm) or ethephon (500 ppm) resulted in adequate ripening of fruits after 4 days with uniform colour, pleasant flavour, desirable firmness and acceptable quality and better shelf-life. The untreated control fruits were hard textured and poor in colour and quality. The ripening with ethylene gas or ethephon treatment seems to hold promise in reducing postharvest losses and boosting the economy of banana growers and traders.
Collapse
Affiliation(s)
- B V C Mahajan
- Punjab Horticultural Post-harvest Technology Centre, Punjab Agricultural University, Ludhiana, 141 004 India
| | | | | | | | | | | |
Collapse
|