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Kushwah A, Bhatia D, Barmukh R, Singh I, Singh G, Bindra S, Vij S, Chellapilla B, Pratap A, Roorkiwal M, Kumar S, Varshney RK, Singh S. Genetic mapping of QTLs for drought tolerance in chickpea ( Cicer arietinum L.). Front Genet 2022; 13:953898. [PMID: 36061197 PMCID: PMC9437436 DOI: 10.3389/fgene.2022.953898] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/05/2022] [Indexed: 01/24/2023] Open
Abstract
Chickpea yield is severely affected by drought stress, which is a complex quantitative trait regulated by multiple small-effect genes. Identifying genomic regions associated with drought tolerance component traits may increase our understanding of drought tolerance mechanisms and assist in the development of drought-tolerant varieties. Here, a total of 187 F8 recombinant inbred lines (RILs) developed from an interspecific cross between drought-tolerant genotype GPF 2 (Cicer arietinum) and drought-sensitive accession ILWC 292 (C. reticulatum) were evaluated to identify quantitative trait loci (QTLs) associated with drought tolerance component traits. A total of 21 traits, including 12 morpho-physiological traits and nine root-related traits, were studied under rainfed and irrigated conditions. Composite interval mapping identified 31 QTLs at Ludhiana and 23 QTLs at Faridkot locations for morphological and physiological traits, and seven QTLs were identified for root-related traits. QTL analysis identified eight consensus QTLs for six traits and five QTL clusters containing QTLs for multiple traits on linkage groups CaLG04 and CaLG06. The identified major QTLs and genomic regions associated with drought tolerance component traits can be introgressed into elite cultivars using genomics-assisted breeding to enhance drought tolerance in chickpea.
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Affiliation(s)
- Ashutosh Kushwah
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Dharminder Bhatia
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Rutwik Barmukh
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Inderjit Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Gurpreet Singh
- Regional Research Station, Punjab Agricultural University, Faridkot, India
| | - Shayla Bindra
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Suruchi Vij
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | | | - Aditya Pratap
- Crop Improvement Division, ICAR- Indian Institute of Pulses Research, Kanpur, India
| | - Manish Roorkiwal
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
| | - Shiv Kumar
- International Center for Agricultural Research in the Dry Areas (ICARDA), Rabat Office, Rabat, Morocco
| | - Rajeev K. Varshney
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, India
- Murdoch’s Centre for Crop and Food Innovation, State Agricultural Biotechnology Centre, Food Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Sarvjeet Singh
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
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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. FRONTIERS IN PLANT SCIENCE 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] [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.
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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
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Bhagyawant SS, Gautam AK, Narvekar DT, Gupta N, Bhadkaria A, Srivastava N, Upadhyaya HD. Biochemical diversity evaluation in chickpea accessions employing mini-core collection. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2018; 24:1165-1183. [PMID: 30425432 PMCID: PMC6214431 DOI: 10.1007/s12298-018-0579-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2017] [Revised: 06/30/2018] [Accepted: 07/06/2018] [Indexed: 05/05/2023]
Abstract
The seeds of chickpea provide an exceptional source of dietary proteins and is one of the important legumes in both developed and developing countries over the world. The available germplasm of cultivated chickpea is deficient in desired biochemical signatures. To identify new sources of variations for breeding, reduced subsets of germplasm such as mini-core collection can be explored as an effective resource. In the present investigation, mini-core collections consisting of 215 accessions of chickpea were extensively evaluated for tapping biochemical diversity. Analysis included ten biochemical parameters comprising total protein, total free amino acids, phytic acid, tannin, total phenolics, total flavonoids, lectin, DPPH radical scavenging activity, in vitro digestibility of protein and starch. The spectrum of diversity was documented for total protein (4.60-33.90%), total free amino acids (0.092-9.33 mg/g), phytic acid (0.009-4.06 mg/g), tannin (0.232-189.63 mg/g), total phenolics (0.15-0.81 mg/g), total flavonoids (0.04-1.57 mg/g), lectin (0.07-330.32 HU/mg), DPPH radical scavenging activity (26.74-49.11%), in vitro protein digestibility (59.45-76.22%) and in vitro starch digestibility (45.63-298.39 mg of maltose/g). The principal component analysis revealed association of chickpea higher protein content to the lower level of total phenolics and flavonoid contents. The dendrogram obtained by unweighted pair group method using arithmetic average cluster analysis grouped the chickpea accessions into two major clusters. This is the first comprehensive report on biochemical diversity analysed in the mini-core chickpea accessions. The ultimate purpose of conducting such studies was to deliver information on nutritional characteristics for effective breeding programmes. Depending on the objectives of the breeding aforesaid accessions could be employed as a parent.
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Affiliation(s)
| | - Ajay Kumar Gautam
- School of Studies in Biotechnology, Jiwaji University, Gwalior, India
| | | | - Neha Gupta
- School of Studies in Biotechnology, Jiwaji University, Gwalior, India
| | - Amita Bhadkaria
- School of Studies in Biotechnology, Jiwaji University, Gwalior, India
| | - Nidhi Srivastava
- Department of Bioscience and Biotechnology, Banasthali Vidhyapeeth, Banasthali, India
| | - Hari D. Upadhyaya
- International Crops Research Institute for the Semi-arid Tropics, Patancheru, Hyderabad, Telangana India
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