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Sethi M, Saini DK, Devi V, Kaur C, Singh MP, Singh J, Pruthi G, Kaur A, Singh A, Chaudhary DP. Corrigendum: Unravelling the genetic framework associated with grain quality and yield-related traits in maize (Zea mays L.). Front Genet 2023; 14:1343846. [PMID: 38148979 PMCID: PMC10750124 DOI: 10.3389/fgene.2023.1343846] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 12/04/2023] [Indexed: 12/28/2023] Open
Abstract
[This corrects the article DOI: 10.3389/fgene.2023.1248697.].
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Affiliation(s)
- Mehak Sethi
- Division of Biochemistry, Indian Institute of Maize Research, Ludhiana, Punjab, India
| | - Dinesh Kumar Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Veena Devi
- Division of Biochemistry, Indian Institute of Maize Research, Ludhiana, Punjab, India
| | - Charanjeet Kaur
- Department of Basic Sciences and Humanities, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Mohini Prabha Singh
- Department of Floriculture and Landscaping, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Jasneet Singh
- Agricultural and Environmental Sciences, McGill University, Montreal, QC, Canada
| | - Gomsie Pruthi
- Department of Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Amanpreet Kaur
- Division of Biochemistry, Indian Institute of Maize Research, Ludhiana, Punjab, India
| | - Alla Singh
- Division of Biochemistry, Indian Institute of Maize Research, Ludhiana, Punjab, India
| | - Dharam Paul Chaudhary
- Division of Biochemistry, Indian Institute of Maize Research, Ludhiana, Punjab, India
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Sethi M, Saini DK, Devi V, Kaur C, Singh MP, Singh J, Pruthi G, Kaur A, Singh A, Chaudhary DP. Unravelling the genetic framework associated with grain quality and yield-related traits in maize ( Zea mays L.). Front Genet 2023; 14:1248697. [PMID: 37609038 PMCID: PMC10440565 DOI: 10.3389/fgene.2023.1248697] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 07/26/2023] [Indexed: 08/24/2023] Open
Abstract
Maize serves as a crucial nutrient reservoir for a significant portion of the global population. However, to effectively address the growing world population's hidden hunger, it is essential to focus on two key aspects: biofortification of maize and improving its yield potential through advanced breeding techniques. Moreover, the coordination of multiple targets within a single breeding program poses a complex challenge. This study compiled mapping studies conducted over the past decade, identifying quantitative trait loci associated with grain quality and yield related traits in maize. Meta-QTL analysis of 2,974 QTLs for 169 component traits (associated with quality and yield related traits) revealed 68 MQTLs across different genetic backgrounds and environments. Most of these MQTLs were further validated using the data from genome-wide association studies (GWAS). Further, ten MQTLs, referred to as breeding-friendly MQTLs (BF-MQTLs), with a significant phenotypic variation explained over 10% and confidence interval less than 2 Mb, were shortlisted. BF-MQTLs were further used to identify potential candidate genes, including 59 genes encoding important proteins/products involved in essential metabolic pathways. Five BF-MQTLs associated with both quality and yield traits were also recommended to be utilized in future breeding programs. Synteny analysis with wheat and rice genomes revealed conserved regions across the genomes, indicating these hotspot regions as validated targets for developing biofortified, high-yielding maize varieties in future breeding programs. After validation, the identified candidate genes can also be utilized to effectively model the plant architecture and enhance desirable quality traits through various approaches such as marker-assisted breeding, genetic engineering, and genome editing.
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Affiliation(s)
- Mehak Sethi
- Division of Biochemistry, Indian Institute of Maize Research, Ludhiana, Punjab, India
| | - Dinesh Kumar Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Veena Devi
- Division of Biochemistry, Indian Institute of Maize Research, Ludhiana, Punjab, India
| | - Charanjeet Kaur
- Department of Basic Sciences and Humanities, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Mohini Prabha Singh
- Department of Floriculture and Landscaping, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Jasneet Singh
- Agricultural and Environmental Sciences, Macdonald Campus, McGill University, Montreal, QC, Canada
| | - Gomsie Pruthi
- Department of Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India
| | - Amanpreet Kaur
- Division of Biochemistry, Indian Institute of Maize Research, Ludhiana, Punjab, India
| | - Alla Singh
- Division of Biochemistry, Indian Institute of Maize Research, Ludhiana, Punjab, India
| | - Dharam Paul Chaudhary
- Division of Biochemistry, Indian Institute of Maize Research, Ludhiana, Punjab, India
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Karnatam KS, Chhabra G, Saini DK, Singh R, Kaur G, Praba UP, Kumar P, Goyal S, Sharma P, Ranjan R, Sandhu SK, Kumar R, Vikal Y. Genome-Wide Meta-Analysis of QTLs Associated with Root Traits and Implications for Maize Breeding. Int J Mol Sci 2023; 24:ijms24076135. [PMID: 37047112 PMCID: PMC10093813 DOI: 10.3390/ijms24076135] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 04/14/2023] Open
Abstract
Root system architecture (RSA), also known as root morphology, is critical in plant acquisition of soil resources, plant growth, and yield formation. Many QTLs associated with RSA or root traits in maize have been identified using several bi-parental populations, particularly in response to various environmental factors. In the present study, a meta-analysis of QTLs associated with root traits was performed in maize using 917 QTLs retrieved from 43 mapping studies published from 1998 to 2020. A total of 631 QTLs were projected onto a consensus map involving 19,714 markers, which led to the prediction of 68 meta-QTLs (MQTLs). Among these 68 MQTLs, 36 MQTLs were validated with the marker-trait associations available from previous genome-wide association studies for root traits. The use of comparative genomics approaches revealed several gene models conserved among the maize, sorghum, and rice genomes. Among the conserved genomic regions, the ortho-MQTL analysis uncovered 20 maize MQTLs syntenic to 27 rice MQTLs for root traits. Functional analysis of some high-confidence MQTL regions revealed 442 gene models, which were then subjected to in silico expression analysis, yielding 235 gene models with significant expression in various tissues. Furthermore, 16 known genes viz., DXS2, PHT, RTP1, TUA4, YUC3, YUC6, RTCS1, NSA1, EIN2, NHX1, CPPS4, BIGE1, RCP1, SKUS13, YUC5, and AW330564 associated with various root traits were present within or near the MQTL regions. These results could aid in QTL cloning and pyramiding in developing new maize varieties with specific root architecture for proper plant growth and development under optimum and abiotic stress conditions.
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Affiliation(s)
- Krishna Sai Karnatam
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India
| | - Gautam Chhabra
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India
| | - Dinesh Kumar Saini
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141001, India
| | - Rajveer Singh
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India
| | - Gurwinder Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India
| | - Umesh Preethi Praba
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India
| | - Pankaj Kumar
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India
| | - Simran Goyal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India
| | - Priti Sharma
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India
| | - Rumesh Ranjan
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141001, India
| | - Surinder K Sandhu
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana 141001, India
| | - Ramesh Kumar
- Indian Institute of Maize Research, Ludhiana 141001, India
| | - Yogesh Vikal
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana 141001, India
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Maccaferri M, El-Feki W, Nazemi G, Salvi S, Canè MA, Colalongo MC, Stefanelli S, Tuberosa R. Prioritizing quantitative trait loci for root system architecture in tetraploid wheat. J Exp Bot 2016; 67:1161-78. [PMID: 26880749 PMCID: PMC4753857 DOI: 10.1093/jxb/erw039] [Citation(s) in RCA: 101] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Optimization of root system architecture (RSA) traits is an important objective for modern wheat breeding. Linkage and association mapping for RSA in two recombinant inbred line populations and one association mapping panel of 183 elite durum wheat (Triticum turgidum L. var. durum Desf.) accessions evaluated as seedlings grown on filter paper/polycarbonate screening plates revealed 20 clusters of quantitative trait loci (QTLs) for root length and number, as well as 30 QTLs for root growth angle (RGA). Divergent RGA phenotypes observed by seminal root screening were validated by root phenotyping of field-grown adult plants. QTLs were mapped on a high-density tetraploid consensus map based on transcript-associated Illumina 90K single nucleotide polymorphisms (SNPs) developed for bread and durum wheat, thus allowing for an accurate cross-referencing of RSA QTLs between durum and bread wheat. Among the main QTL clusters for root length and number highlighted in this study, 15 overlapped with QTLs for multiple RSA traits reported in bread wheat, while out of 30 QTLs for RGA, only six showed co-location with previously reported QTLs in wheat. Based on their relative additive effects/significance, allelic distribution in the association mapping panel, and co-location with QTLs for grain weight and grain yield, the RSA QTLs have been prioritized in terms of breeding value. Three major QTL clusters for root length and number (RSA_QTL_cluster_5#, RSA_QTL_cluster_6#, and RSA_QTL_cluster_12#) and nine RGA QTL clusters (QRGA.ubo-2A.1, QRGA.ubo-2A.3, QRGA.ubo-2B.2/2B.3, QRGA.ubo-4B.4, QRGA.ubo-6A.1, QRGA.ubo-6A.2, QRGA.ubo-7A.1, QRGA.ubo-7A.2, and QRGA.ubo-7B) appear particularly valuable for further characterization towards a possible implementation of breeding applications in marker-assisted selection and/or cloning of the causal genes underlying the QTLs.
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Affiliation(s)
- Marco Maccaferri
- Department of Agricultural Sciences (DipSA), University of Bologna, 40127 Bologna, Italy
| | - Walid El-Feki
- Department of Agricultural Sciences (DipSA), University of Bologna, 40127 Bologna, Italy Department of Crop Sciences, Faculty of Agriculture, Alexandria University, 23714 Alexandria, Egypt
| | - Ghasemali Nazemi
- Department of Agricultural Sciences (DipSA), University of Bologna, 40127 Bologna, Italy Department of Agriculture, Hajiabad Branch, Islamic Azad University, 21100 Hajiabad, Iran
| | - Silvio Salvi
- Department of Agricultural Sciences (DipSA), University of Bologna, 40127 Bologna, Italy
| | - Maria Angela Canè
- Department of Agricultural Sciences (DipSA), University of Bologna, 40127 Bologna, Italy
| | - Maria Chiara Colalongo
- Department of Agricultural Sciences (DipSA), University of Bologna, 40127 Bologna, Italy
| | - Sandra Stefanelli
- Department of Agricultural Sciences (DipSA), University of Bologna, 40127 Bologna, Italy
| | - Roberto Tuberosa
- Department of Agricultural Sciences (DipSA), University of Bologna, 40127 Bologna, Italy
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