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Maiti S, Banik A. Strategies to fortify the nutritional values of polished rice by implanting selective traits from brown rice: A nutrigenomics-based approach. Food Res Int 2023; 173:113271. [PMID: 37803581 DOI: 10.1016/j.foodres.2023.113271] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 07/09/2023] [Accepted: 07/11/2023] [Indexed: 10/08/2023]
Abstract
Whole-grain cereals are important components of a healthy diet. It reduces the risk of many deadly diseases like cardiovascular diseases, diabetes, cancer, etc. Brown rice is an example of whole grain food, which is highly nutritious due to the presence of various bioactive compounds (flavonoids, phenolics, vitamins, phytosterols, oils, etc.) associated with the rice bran layer of brown rice. White rice is devoid of the nutritious rice bran layer and thus lacks the bioactive compounds which are the major attractants of brown rice. Therefore, to confer health benefits to the public at large, the nutrigenomic potential of white rice may be improved by integrating the phytochemicals associated with the rice bran layer of brown rice into it via biofortification processes like conventional breeding, agronomic practices, metabolic engineering, CRISPR/Cas9 technology, and RNAi techniques. Thus, this review article focuses on improving the nutritional qualities of white/polished rice through biofortification processes, utilizing new breeding technologies (NBTs).
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Affiliation(s)
- Somdatta Maiti
- Laboratory of Microbial Interaction, Institute of Health Sciences, Presidency University, Kolkata, West Bengal, India
| | - Avishek Banik
- Laboratory of Microbial Interaction, Institute of Health Sciences, Presidency University, Kolkata, West Bengal, India.
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2
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Barik SR, Moharana A, Pandit E, Behera A, Mishra A, Mohanty SP, Mohapatra S, Sanghamitra P, Meher J, Pani DR, Bhadana VP, Datt S, Sahoo CR, Raj K R R, Pradhan SK. Transfer of Stress Resilient QTLs and Panicle Traits into the Rice Variety, Reeta through Classical and Marker-Assisted Breeding Approaches. Int J Mol Sci 2023; 24:10708. [PMID: 37445885 DOI: 10.3390/ijms241310708] [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: 03/26/2023] [Revised: 04/23/2023] [Accepted: 04/26/2023] [Indexed: 07/15/2023] Open
Abstract
Reeta is a popular late-maturing high-yielding rice variety recommended for cultivation in the eastern Indian states. The cultivar is highly sensitive to submergence stress. Phosphorus deficiency is an additional constraint for realizing high yield. The quantitative trait loci (QTLs), Sub1, for submergence and Pup1 for low phosphorus stress tolerance along with narrow-grained trait, GW5 were introgressed into the variety from the donor parent, Swarna-Sub1 through marker-assisted breeding. In addition, phenotypic selections for higher panicle weight, grain number, and spikelet fertility were performed in each segregating generation. Foreground selection detected the 3 target QTLs in 9, 8 and 7 progenies in the BC1F1, BC2F1, and BC3F1 generation, respectively. Recurrent parent's genome recovery was analyzed using 168 SSR polymorphic markers. The foreground analysis in 452 BC3F2 progenies showed five pyramided lines in homozygous condition for the target QTLs. No donor fragment drag was noticed in the Sub1 and GW5 QTLs carrier while a segmentwas observed in the Pup1 carrier chromosome. The developed lines were higher yielding, had submergence, and had low phosphorus stress-tolerance alongwith similar to the recipient parent in the studied morpho-quality traits. A promising pyramided line is released in the name of Reeta-Panidhan (CR Dhan 413) for the flood-prone areas of Odisha state.
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Affiliation(s)
| | - Arpita Moharana
- ICAR-National Rice Research Institute, Cuttack 753006, India
| | - Elssa Pandit
- Department of Biosciences and Biotechnology, Fakir Mohan University, Balasore 756020, India
| | | | - Ankita Mishra
- ICAR-National Rice Research Institute, Cuttack 753006, India
- College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar 751003, India
| | | | - Shibani Mohapatra
- ICAR-National Rice Research Institute, Cuttack 753006, India
- Environmental Science Laboratory, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar 751024, India
| | | | | | - Dipti Ranjan Pani
- ICAR-National Bureau of Plant Genetic Resources, Base Center, Cuttack 753006, India
| | - Vijai Pal Bhadana
- ICAR-Indian Institute of Agricultural Biotechnology, Ranchi 834003, India
| | - Shiv Datt
- Indian Council of Agricultural Research, Krishi Bhavan, New Delhi 110001, India
| | - Chita Ranjan Sahoo
- College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar 751003, India
| | - Reshmi Raj K R
- ICAR-National Rice Research Institute, Cuttack 753006, India
| | - Sharat Kumar Pradhan
- ICAR-National Rice Research Institute, Cuttack 753006, India
- Indian Council of Agricultural Research, Krishi Bhavan, New Delhi 110001, India
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Dash PK, Gupta P, Sreevathsa R, Pradhan SK, Sanjay TD, Mohanty MR, Roul PK, Singh NK, Rai R. Phylogenomic Analysis of micro-RNA Involved in Juvenile to Flowering-Stage Transition in Photophilic Rice and Its Sister Species. Cells 2023; 12:1370. [PMID: 37408207 DOI: 10.3390/cells12101370] [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: 03/13/2023] [Revised: 04/16/2023] [Accepted: 04/18/2023] [Indexed: 07/07/2023] Open
Abstract
Vegetative to reproductive phase transition in phototropic plants is an important developmental process and is sequentially mediated by the expression of micro-RNA MIR172. To obtain insight into the evolution, adaptation, and function of MIR172 in photophilic rice and its wild relatives, we analyzed the genescape of a 100 kb segment harboring MIR172 homologs from 11 genomes. The expression analysis of MIR172 revealed its incremental accumulation from the 2-leaf to 10-leaf stage, with maximum expression coinciding with the flag-leaf stage in rice. Nonetheless, the microsynteny analysis of MIR172s revealed collinearity within the genus Oryza, but a loss of synteny was observed in (i) MIR172A in O. barthii (AA) and O. glaberima (AA); (ii) MIR172B in O. brachyantha (FF); and (iii) MIR172C in O. punctata (BB). Phylogenetic analysis of precursor sequences/region of MIR172 revealed a distinct tri-modal clade of evolution. The genomic information generated in this investigation through comparative analysis of MIRNA, suggests mature MIR172s to have evolved in a disruptive and conservative mode amongst all Oryza species with a common origin of descent. Further, the phylogenomic delineation provided an insight into the adaptation and molecular evolution of MIR172 to changing environmental conditions (biotic and abiotic) of phototropic rice through natural selection and the opportunity to harness untapped genomic regions from rice wild relatives (RWR).
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Affiliation(s)
- Prasanta K Dash
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110012, India
| | - Payal Gupta
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110012, India
| | - Rohini Sreevathsa
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110012, India
| | | | | | - Mihir Ranjan Mohanty
- Department of Genetics & Plant Breeding (RRTTS, Jeypore), Odisha University of Agriculture and Technology, Bhubaneswar 751003, India
| | - Pravat K Roul
- Department of Genetics & Plant Breeding (RRTTS, Jeypore), Odisha University of Agriculture and Technology, Bhubaneswar 751003, India
| | - Nagendra K Singh
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110012, India
| | - Rhitu Rai
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110012, India
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4
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Mohanty SP, Nayak DK, Sanghamitra P, Barik SR, Pandit E, Behera A, Pani DR, Mohapatra S, Raj K R R, Pradhan KC, Sahoo CR, Mohanty MR, Behera C, Panda AK, Jena BK, Behera L, Dash PK, Pradhan SK. Mapping the Genomic Regions Controlling Germination Rate and Early Seedling Growth Parameters in Rice. Genes (Basel) 2023; 14:genes14040902. [PMID: 37107660 PMCID: PMC10138111 DOI: 10.3390/genes14040902] [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: 01/23/2023] [Revised: 02/24/2023] [Accepted: 03/31/2023] [Indexed: 04/29/2023] Open
Abstract
Seed vigor is the key performance parameter of good quality seed. A panel was prepared by shortlisting genotypes from all the phenotypic groups representing seedling growth parameters from a total of 278 germplasm lines. A wide variation was observed for the traits in the population. The panel was classified into four genetic structure groups. Fixation indices indicated the existence of linkage disequilibrium in the population. A moderate to high level of diversity parameters was assessed using 143 SSR markers. Principal component, coordinate, neighbor-joining tree and cluster analyses showed subpopulations with a fair degree of correspondence with the growth parameters. Marker-trait association analysis detected eight novel QTLs, namely qAGR4.1, qAGR6.1, qAGR6.2 and qAGR8.1 for absolute growth rate (AGR); qRSG6.1, qRSG7.1 and qRSG8.1 for relative shoot growth (RSG); and qRGR11.1 for relative growth rate (RGR), as analyzed by GLM and MLM. The reported QTL for germination rate (GR), qGR4-1, was validated in this population. Additionally, QTLs present on chromosome 6 controlling RSG and AGR at 221 cM and RSG and AGR on chromosome 8 at 27 cM were detected as genetic hotspots for the parameters. The QTLs identified in the study will be useful for improvement of the seed vigor trait in rice.
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Affiliation(s)
| | | | | | | | - Elssa Pandit
- Department of Biosciences and Biotechnology, Fakir Mohan University, Balasore 756020, India
| | | | - Dipti Ranjan Pani
- ICAR-National Bureau of Plant Genetic Resources, Base Center, Cuttack 753006, India
| | - Shibani Mohapatra
- ICAR-National Rice Research Institute, Cuttack 753006, India
- Environmental Science Laboratory, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar 751024, India
| | - Reshmi Raj K R
- ICAR-National Rice Research Institute, Cuttack 753006, India
| | - Kartik Chandra Pradhan
- College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar 751003, India
| | - Chita Ranjan Sahoo
- Directorate of Research, Odisha University of Agriculture & Technology, Bhubaneswar 751003, India
| | - Mihir Ranjan Mohanty
- Regional Research and Technology Transfer Station (RRTTS), Odisha University of Agriculture & Technology, Jeypore 764001, India
| | - Chinmayee Behera
- Department of Genetics and Plant Breeding, Institute of Agricultural Sciences, SOA University, Bhubaneswar 753001, India
| | - Alok Kumar Panda
- Environmental Science Laboratory, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar 751024, India
| | - Binod Kumar Jena
- Krishi Vigyan Kendra, Odisha University of Agriculture & Technology, Rayagada 765022, India
| | - Lambodar Behera
- ICAR-National Rice Research Institute, Cuttack 753006, India
| | - Prasanta K Dash
- ICAR-National Institute for Plant Biotechnology, Pusa, New Delhi 110012, India
| | - Sharat Kumar Pradhan
- ICAR-National Rice Research Institute, Cuttack 753006, India
- Indian Council of Agricultural Research, Krishi Bhavan, New Delhi 110001, India
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Sahu S, Gupta P, Gowtham TP, Yogesh KS, Sanjay TD, Singh A, Duong HV, Pradhan SK, Bisht DS, Singh NK, Baig MJ, Rai R, Dash PK. Generation of High-Value Genomic Resource in Rice: A “Subgenomic Library” of Low-Light Tolerant Rice Cultivar Swarnaprabha. BIOLOGY 2023; 12:biology12030428. [PMID: 36979120 PMCID: PMC10044706 DOI: 10.3390/biology12030428] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 02/09/2023] [Accepted: 02/14/2023] [Indexed: 03/16/2023]
Abstract
Rice is the major staple food crop for more than 50% of the world’s total population, and its production is of immense importance for global food security. As a photophilic plant, its yield is governed by the quality and duration of light. Like all photosynthesizing plants, rice perceives the changes in the intensity of environmental light using phytochromes as photoreceptors, and it initiates a morphological response that is termed as the shade-avoidance response (SAR). Phytochromes (PHYs) are the most important photoreceptor family, and they are primarily responsible for the absorption of the red (R) and far-red (FR) spectra of light. In our endeavor, we identified the morphological differences between two contrasting cultivars of rice: IR-64 (low-light susceptible) and Swarnaprabha (low-light tolerant), and we observed the phenological differences in their growth in response to the reduced light conditions. In order to create genomic resources for low-light tolerant rice, we constructed a subgenomic library of Swarnaprabha that expedited our efforts to isolate light-responsive photoreceptors. The titer of the library was found to be 3.22 × 105 cfu/mL, and the constructed library comprised clones of 4–9 kb in length. The library was found to be highly efficient as per the number of recombinant clones. The subgenomic library will serve as a genomic resource for the Gramineae community to isolate photoreceptors and other genes from rice.
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Affiliation(s)
- Sovanlal Sahu
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110001, India
| | - Payal Gupta
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110001, India
| | | | - Kumar Shiva Yogesh
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110001, India
| | | | - Ayushi Singh
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110001, India
| | - Hay Van Duong
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110001, India
- Institute of Agricultural Sciences for Southern Vietnam, Ho Chi Minh City 71007, Vietnam
| | - Sharat Kumar Pradhan
- ICAR-National Rice Research Institute, Cuttack 753006, India
- Indian Council of Agriculture Research, Krishi Bhawan, New Delhi 110001, India
| | - Deepak Singh Bisht
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110001, India
| | - Nagendra Kumar Singh
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110001, India
| | - Mirza J. Baig
- ICAR-National Rice Research Institute, Cuttack 753006, India
| | - Rhitu Rai
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110001, India
- Correspondence: (R.R.); (P.K.D.); Tel.: +91-1125841787 (R.R. & P.K.D.); Fax: +91-1125843984 (R.R. & P.K.D.)
| | - Prasanta K. Dash
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110001, India
- Correspondence: (R.R.); (P.K.D.); Tel.: +91-1125841787 (R.R. & P.K.D.); Fax: +91-1125843984 (R.R. & P.K.D.)
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6
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Gupta P, Dash PK, Sanjay TD, Pradhan SK, Sreevathsa R, Rai R. Cloning and Molecular Characterization of the phlD Gene Involved in the Biosynthesis of "Phloroglucinol", a Compound with Antibiotic Properties from Plant Growth Promoting Bacteria Pseudomonas spp. Antibiotics (Basel) 2023; 12:antibiotics12020260. [PMID: 36830171 PMCID: PMC9952525 DOI: 10.3390/antibiotics12020260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/21/2022] [Accepted: 12/23/2022] [Indexed: 02/03/2023] Open
Abstract
phlD is a novel kind of polyketide synthase involved in the biosynthesis of non-volatile metabolite phloroglucinol by iteratively condensing and cyclizing three molecules of malonyl-CoA as substrate. Phloroglucinol or 2,4-diacetylphloroglucinol (DAPG) is an ecologically important rhizospheric antibiotic produced by pseudomonads; it exhibits broad spectrum anti-bacterial and anti-fungal properties, leading to disease suppression in the rhizosphere. Additionally, DAPG triggers systemic resistance in plants, stimulates root exudation, as well as induces phyto-enhancing activities in other rhizobacteria. Here, we report the cloning and analysis of the phlD gene from soil-borne gram-negative bacteria-Pseudomonas. The full-length phlD gene (from 1078 nucleotides) was successfully cloned and the structural details of the PHLD protein were analyzed in-depth via a three-dimensional topology and a refined three-dimensional model for the PHLD protein was predicted. Additionally, the stereochemical properties of the PHLD protein were analyzed by the Ramachandran plot, based on which, 94.3% of residues fell in the favored region and 5.7% in the allowed region. The generated model was validated by secondary structure prediction using PDBsum. The present study aimed to clone and characterize the DAPG-producing phlD gene to be deployed in the development of broad-spectrum biopesticides for the biocontrol of rhizospheric pathogens.
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Affiliation(s)
- Payal Gupta
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110012, India
| | - Prasanta K. Dash
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110012, India
- Correspondence: (P.K.D.); (R.R.); Tel.: +91-1125841787 (P.K.D.); Fax: +91-1125843984 (P.K.D.)
| | | | - Sharat Kumar Pradhan
- ICAR-National Rice Research Institute, Cuttack 753006, India
- Indian Council of Agriculture Research, Krishi Bhawan, New Delhi 110001, India
| | - Rohini Sreevathsa
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110012, India
| | - Rhitu Rai
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi 110012, India
- Correspondence: (P.K.D.); (R.R.); Tel.: +91-1125841787 (P.K.D.); Fax: +91-1125843984 (P.K.D.)
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Mohapatra S, Barik SR, Dash PK, Lenka D, Pradhan KC, Raj K. R R, Mohanty SP, Mohanty MR, Sahoo A, Jena BK, Panda AK, Panigrahi D, Dash SK, Meher J, Sahoo CR, Mukherjee AK, Das L, Behera L, Pradhan SK. Molecular Breeding for Incorporation of Submergence Tolerance and Durable Bacterial Blight Resistance into the Popular Rice Variety 'Ranidhan'. Biomolecules 2023; 13:biom13020198. [PMID: 36830568 PMCID: PMC9953461 DOI: 10.3390/biom13020198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 01/08/2023] [Accepted: 01/13/2023] [Indexed: 01/20/2023] Open
Abstract
Ranidhan is a popular late-maturing rice variety of Odisha state, India. The farmers of the state suffer heavy loss in years with flash floods as the variety is sensitive to submergence. Bacterial blight (BB) disease is a major yield-limiting factor, and the variety is susceptible to the disease. BB resistance genes Xa21, xa13, and xa5, along with the Sub1 QTL, for submergence stress tolerance were transferred into the variety using marker-assisted backcross breeding approach. Foreground selection using direct and closely linked markers detected the progenies carrying all four target genes in the BC1F1, BC2F1, and BC3F1 generations, and the positive progenies carrying these genes with maximum similarity to the recipient parent, Ranidhan, were backcrossed into each segregating generation. Foreground selection in the BC1F1 generation progenies detected all target genes in 11 progenies. The progeny carrying all target genes and similar to the recipient parent in terms of phenotype was backcrossed, and a total of 321 BC2F1 seeds were produced. Ten progenies carried all target genes/QTL in the BC2F1 generation. Screening of the BC3F1 progenies using markers detected 12 plants carrying the target genes. A total of 1270 BC3F2 seeds were obtained from the best BC3F1 progeny. Foreground selection in the BC3F2 progenies detected four plants carrying the target genes in the homozygous condition. The bioassay of the pyramided lines conferred very high levels of resistance to the predominant isolates of bacterial blight pathogen. These BB pyramided lines were submergence-tolerant and similar to Ranidhan in 13 agro-morphologic and grain quality traits; hence, they are likely to be adopted by farmers.
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Affiliation(s)
- Shibani Mohapatra
- ICAR-National Rice Research Institute, Cuttack 753006, India
- Environmental Science Laboratory, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar 751024, India
| | | | - Prasanta K. Dash
- ICAR-National Institute for Plant Biotechnology, New Delhi 110012, India
| | - Devidutta Lenka
- College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar 751003, India
| | - Kartika Chandra Pradhan
- College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar 751003, India
| | - Reshmi Raj K. R
- ICAR-National Rice Research Institute, Cuttack 753006, India
| | | | | | - Ambika Sahoo
- Centre for Biotechnology, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar 751003, India
| | | | - Alok Kumar Panda
- Environmental Science Laboratory, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar 751024, India
| | - Debabrata Panigrahi
- College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar 751003, India
| | | | | | - Chitta Ranjan Sahoo
- College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar 751003, India
| | | | - Lipi Das
- ICAR-Central Institute for Women in Agriculture, Bhubaneswar 751003, India
| | - Lambodar Behera
- ICAR-National Rice Research Institute, Cuttack 753006, India
| | - Sharat Kumar Pradhan
- ICAR-National Rice Research Institute, Cuttack 753006, India
- Indian Council of Agricultural Research, Krishi Bhavan, New Delhi 110001, India
- Correspondence:
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Nayak DK, Sahoo S, Barik SR, Sanghamitra P, Sangeeta S, Pandit E, Reshmi Raj KR, Basak N, Pradhan SK. Association mapping for protein, total soluble sugars, starch, amylose and chlorophyll content in rice. BMC PLANT BIOLOGY 2022; 22:620. [PMID: 36581797 PMCID: PMC9801606 DOI: 10.1186/s12870-022-04015-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 12/21/2022] [Indexed: 05/13/2023]
Abstract
BACKGROUND Protein, starch, amylose and total soluble sugars are basic metabolites of seed that influence the eating, cooking and nutritional qualities of rice. Chlorophyll is responsible for the absorption and utilization of the light energy influencing photosynthetic efficiency in rice plant. Mapping of these traits are very important for detection of more number of robust markers for improvement of these traits through molecular breeding approaches. RESULTS A representative panel population was developed by including 120 germplasm lines from the initial shortlisted 274 lines for mapping of the six biochemical traits using 136 microsatellite markers through association mapping. A wide genetic variation was detected for the traits, total protein, starch, amylose, total soluble sugars, chlorophyll a, and chlorophyll b content in the population. Specific allele frequency, gene diversity, informative markers and other diversity parameters obtained from the population indicated the effectiveness of utilization of the population and markers for mapping of these traits. The fixation indices values estimated from the population indicated the existence of linkage disequilibrium for the six traits. The population genetic structure at K = 3 showed correspondence with majority of the members in each group for the six traits. The reported QTL, qProt1, qPC6.2, and qPC8.2 for protein content; qTSS8.1 for total soluble sugar; qAC1.2 for amylose content; qCH2 and qSLCHH for chlorophyll a (Chl. a) while qChl5D for chlorophyll b (Chl. b) were validated in this population. The QTL controlling total protein content qPC1.2; qTSS7.1, qTSS8.2 and qTSS12.1 for total soluble sugars; qSC2.1, qSC2.2, qSC6.1 and qSC11.1 for starch content; qAC11.1, qAC11.2 and qAC11.3 for amylose content; qChla8.1 for Chl. a content and qChlb7.1 and qChlb8.1 for Chl. b identified by both Generalized Linear Model and Mixed Linear Model were detected as novel QTL. The chromosomal regions on chromosome 8 at 234 cM for grain protein content and total soluble sugars and at 363 cM for Chl. a and Chl. b along with the position at 48 cM on chromosome 11 for starch and amylose content are genetic hot spots for these traits. CONCLUSION The validated, co-localized and the novel QTL detected in this study will be useful for improvement of protein, starch, amylose, total soluble sugars and chlorophyll content in rice.
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Affiliation(s)
- D K Nayak
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | - S Sahoo
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
- College of Agriculture, OUAT, Bhabaneswar, Odisha, 751003, India
| | - S R Barik
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | - P Sanghamitra
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | - S Sangeeta
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | - E Pandit
- Fakir Mohan University, Balasore, Odisha, 756020, India
| | - K R Reshmi Raj
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | - N Basak
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India
| | - S K Pradhan
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753006, India.
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9
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Raj SRG, Nadarajah K. QTL and Candidate Genes: Techniques and Advancement in Abiotic Stress Resistance Breeding of Major Cereals. Int J Mol Sci 2022; 24:ijms24010006. [PMID: 36613450 PMCID: PMC9820233 DOI: 10.3390/ijms24010006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/06/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022] Open
Abstract
At least 75% of the world's grain production comes from the three most important cereal crops: rice (Oryza sativa), wheat (Triticum aestivum), and maize (Zea mays). However, abiotic stressors such as heavy metal toxicity, salinity, low temperatures, and drought are all significant hazards to the growth and development of these grains. Quantitative trait locus (QTL) discovery and mapping have enhanced agricultural production and output by enabling plant breeders to better comprehend abiotic stress tolerance processes in cereals. Molecular markers and stable QTL are important for molecular breeding and candidate gene discovery, which may be utilized in transgenic or molecular introgression. Researchers can now study synteny between rice, maize, and wheat to gain a better understanding of the relationships between the QTL or genes that are important for a particular stress adaptation and phenotypic improvement in these cereals from analyzing reports on QTL and candidate genes. An overview of constitutive QTL, adaptive QTL, and significant stable multi-environment and multi-trait QTL is provided in this article as a solid framework for use and knowledge in genetic enhancement. Several QTL, such as DRO1 and Saltol, and other significant success cases are discussed in this review. We have highlighted techniques and advancements for abiotic stress tolerance breeding programs in cereals, the challenges encountered in introgressing beneficial QTL using traditional breeding techniques such as mutation breeding and marker-assisted selection (MAS), and the in roads made by new breeding methods such as genome-wide association studies (GWASs), the clustered regularly interspaced short palindromic repeat (CRISPR)/Cas9 system, and meta-QTL (MQTL) analysis. A combination of these conventional and modern breeding approaches can be used to apply the QTL and candidate gene information in genetic improvement of cereals against abiotic stresses.
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Zulfiqar A, Naseer S, Saleem A, Ahmed S, Sardar R. Genetic diversity studies for grain iron and zinc content analysis for Elite rice (Oryza sativa L.) genotype by using SSR markers. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
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Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice. PLoS One 2022; 17:e0267303. [PMID: 35881571 PMCID: PMC9321372 DOI: 10.1371/journal.pone.0267303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 04/06/2022] [Indexed: 12/21/2022] Open
Abstract
High seed vigour ensures good quality seed and higher productivity. Early seedling growth parameters indicate seed vigour in rice. Seed vigour via physiological growth parameters is a complex trait controlled by many quantitative trait loci. A panel was prepared representing a population of 274 rice landraces by including genotypes from all the phenotypic groups of sixseedling stage physiological parameters including germination % for association mapping. Wide variations for the six studiedtraits were observed in the population. The population was classified into 3 genetic groups. Fixation indices indicated the presence of linkage disequilibrium in the population. The population was classified into subpopulations and each subpopulation showed correspondence with the 6 physiological traits. A total of 5 reported QTLs viz., qGP8.1 for germination % (GP); qSVII2.1, qSVII6.1 and qSVII6.2 for seed vigour index II (SVII), and qRSR11.1 for root-shoot ratio (RSR) were validated in this mapping population. In addition, 13 QTLs regulating the physiological parameters such as qSVI 11.1 for seed vigour index I; qSVI11.1 and qSVI12.1 for seed vigour index II; qRRG10.1, qRRG8.1, qRRG8.2, qRRG6.1 and qRRG4.1 for rate of root growth (RRG); qRSR2.1, qRSR3.1 and qRSR5.1 for root-shoot ratio (RSR) while qGP6.2 and qGP6.3 for germination %were identified. Additionally, co-localization or co-inheritance of QTLs, qGP8.1 and qSVI8.1 for GP and SVI-1; qGP6.2 and qRRG6.1 for GP and RRG, and qSVI11.1 and qRSR11.1 for SVI and RSR were detected. The QTLs identified in this study will be useful for improvement of seed vigour trait in rice.
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Sanghamitra P, Barik SR, Bastia R, Mohanty SP, Pandit E, Behera A, Mishra J, Kumar G, Pradhan SK. Detection of Genomic Regions Controlling the Antioxidant Enzymes, Phenolic Content, and Antioxidant Activities in Rice Grain through Association Mapping. PLANTS (BASEL, SWITZERLAND) 2022; 11:plants11111463. [PMID: 35684236 PMCID: PMC9183076 DOI: 10.3390/plants11111463] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 05/08/2023]
Abstract
Because it is rich in antioxidant compounds, the staple food of rice provides many health benefits. Four antioxidant traits in rice grain, viz., catalase, CUPRAC, DPPH, FRAP and peroxidase, were mapped in a representative panel population containing 117 germplasm lines using 131 SSR markers through association mapping. Donor lines rich in multiple antioxidant properties were identified from the mapping population. The population was classified into three genetic groups and each group showed reasonable correspondence with the antioxidant traits. The presence of linkage disequilibrium in the population was confirmed from the estimated Fst values. A strong positive correlation of DPPH was established with TPC, FRAP and CUPRAC. A moderate to high mean gene diversity was observed in the panel population. Eleven significant marker-trait associations for antioxidant traits were mapped, namely, qACD2.1, qACD11.1 and qACD12.2 for DPPH; qCAT8.1 and qCAT11.1 for catalase; qFRAP11.1, qFRAP12.1 and qFRAP12.2 for FRAP; and qCUPRAC3.1, qCUPRAC11.1 and qCUPRA12.1 regulating CUPRAC. Co-localization of the QTLs for qACD11.1, qFRAP11.1 and qCUPRAC11.1 were detected, which may act as antioxidant hotspots regulating DPPH, FRAP and CUPRAC activities, respectively, while qACD12.2 and qFRAP12.1 remained close on the chromosome 12. These detected QTLs will be useful in antioxidant improvement programs in rice.
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Affiliation(s)
- Priyadarsini Sanghamitra
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India; (P.S.); (S.R.B.); (R.B.); (S.P.M.); (E.P.); (A.B.); (J.M.); (G.K.)
| | - Saumya Ranjan Barik
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India; (P.S.); (S.R.B.); (R.B.); (S.P.M.); (E.P.); (A.B.); (J.M.); (G.K.)
| | - Ramakrushna Bastia
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India; (P.S.); (S.R.B.); (R.B.); (S.P.M.); (E.P.); (A.B.); (J.M.); (G.K.)
| | - Shakti Prakash Mohanty
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India; (P.S.); (S.R.B.); (R.B.); (S.P.M.); (E.P.); (A.B.); (J.M.); (G.K.)
| | - Elssa Pandit
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India; (P.S.); (S.R.B.); (R.B.); (S.P.M.); (E.P.); (A.B.); (J.M.); (G.K.)
- Department of Biosciences and Biotechnology, Fakir Mohan University, Balasore 756020, Odisha, India
| | - Abhisarika Behera
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India; (P.S.); (S.R.B.); (R.B.); (S.P.M.); (E.P.); (A.B.); (J.M.); (G.K.)
| | - Jyotirmayee Mishra
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India; (P.S.); (S.R.B.); (R.B.); (S.P.M.); (E.P.); (A.B.); (J.M.); (G.K.)
| | - Gaurav Kumar
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India; (P.S.); (S.R.B.); (R.B.); (S.P.M.); (E.P.); (A.B.); (J.M.); (G.K.)
| | - Sharat Kumar Pradhan
- ICAR-National Rice Research Institute, Cuttack 753006, Odisha, India; (P.S.); (S.R.B.); (R.B.); (S.P.M.); (E.P.); (A.B.); (J.M.); (G.K.)
- Correspondence:
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Sreenivasulu N, Zhang C, Tiozon RN, Liu Q. Post-genomics revolution in the design of premium quality rice in a high-yielding background to meet consumer demands in the 21st century. PLANT COMMUNICATIONS 2022; 3:100271. [PMID: 35576153 PMCID: PMC9251384 DOI: 10.1016/j.xplc.2021.100271] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/23/2021] [Accepted: 12/24/2021] [Indexed: 05/14/2023]
Abstract
The eating and cooking quality (ECQ) of rice is critical for determining its economic value in the marketplace and promoting consumer acceptance. It has therefore been of paramount importance in rice breeding programs. Here, we highlight advances in genetic studies of ECQ and discuss prospects for further enhancement of ECQ in rice. Innovations in gene- and genome-editing techniques have enabled improvements in rice ECQ. Significant genes and quantitative trait loci (QTLs) have been shown to regulate starch composition, thereby affecting amylose content and thermal and pasting properties. A limited number of genes/QTLs have been identified for other ECQ properties such as protein content and aroma. Marker-assisted breeding has identified rare alleles in diverse genetic resources that are associated with superior ECQ properties. The post-genomics-driven information summarized in this review is relevant for augmenting current breeding strategies to meet consumer preferences and growing population demands.
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Affiliation(s)
- Nese Sreenivasulu
- Consumer Driven Grain Quality and Nutrition Unit, Rice Breeding and Innovation Platform, International Rice Research Institute, Los Baños 4030, Philippines.
| | - Changquan Zhang
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, College of Agriculture, Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Jiangsu Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China
| | - Rhowell N Tiozon
- Consumer Driven Grain Quality and Nutrition Unit, Rice Breeding and Innovation Platform, International Rice Research Institute, Los Baños 4030, Philippines; Max Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Qiaoquan Liu
- Key Laboratory of Plant Functional Genomics of the Ministry of Education, Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, College of Agriculture, Yangzhou University, Yangzhou 225009, China; Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Jiangsu Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou 225009, China.
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Pawar S, Pandit E, Mohanty IC, Saha D, Pradhan SK. Population genetic structure and association mapping for iron toxicity tolerance in rice. PLoS One 2021; 16:e0246232. [PMID: 33647046 PMCID: PMC7920388 DOI: 10.1371/journal.pone.0246232] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 11/11/2020] [Indexed: 02/01/2023] Open
Abstract
Iron (Fe) toxicity is a major abiotic stress which severely reduces rice yield in many countries of the world. Genetic variation for this stress tolerance exists in rice germplasms. Mapping of gene(s)/QTL controlling the stress tolerance and transfer of the traits into high yielding rice varieties are essential for improvement against the stress. A panel population of 119 genotypes from 352 germplasm lines was constituted for detecting the candidate gene(s)/QTL through association mapping. STRUCTURE, GenAlEx and Darwin softwares were used to classify the population. The marker-trait association was detected by considering both the Generalized Linear Model (GLM) and Mixed Linear Model (MLM) analyses. Wide genetic variation was observed among the genotypes present in the panel population for the stress tolerance. Linkage disequilibrium was detected in the population for iron toxicity tolerance. The population was categorized into three genetic structure groups. Marker-trait association study considering both the Generalized Linear Model (GLM) and Mixed Linear Model (MLM) showed significant association of leaf browning index (LBI) with markers RM471, RM3, RM590 and RM243. Three novel QTL controlling Fe-toxicity tolerance were detected and designated as qFeTox4.3, qFeTox6.1 and qFeTox10.1. A QTL reported earlier in the marker interval of C955-C885 on chromosome 1 is validated using this panel population. The present study showed that QTL controlling Fe-toxicity tolerance to be co-localized with the QTL for Fe-biofortification of rice grain indicating involvement of common pathway for Fe toxicity tolerance and Fe content in rice grain. Fe-toxicity tolerance QTL qFeTox6.1 was co-localized with grain Fe-biofortification QTLs qFe6.1 and qFe6.2 on chromosome 6, whereas qFeTox10.1 was co-localized with qFe10.1 on chromosome 10. The Fe-toxicity tolerance QTL detected from this mapping study will be useful in marker-assisted breeding programs.
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Affiliation(s)
- S. Pawar
- Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha, India
| | - E. Pandit
- Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha, India
- Department of Bio-Science and Bio-Technology, Fakir Mohan University, Balasore, Odisha, India
| | - I. C. Mohanty
- Department of Biotechnology, College of Agriculture, OUAT, Bhubaneswar, Odisha, India
| | - D. Saha
- Department of Biotechnology, College of Agriculture, OUAT, Bhubaneswar, Odisha, India
| | - S. K. Pradhan
- Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha, India
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Pujar M, Gangaprasad S, Govindaraj M, Gangurde SS, Kanatti A, Kudapa H. Genome-wide association study uncovers genomic regions associated with grain iron, zinc and protein content in pearl millet. Sci Rep 2020; 10:19473. [PMID: 33173120 PMCID: PMC7655845 DOI: 10.1038/s41598-020-76230-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 10/22/2020] [Indexed: 02/07/2023] Open
Abstract
Pearl millet hybrids biofortified with iron (Fe) and zinc (Zn) promise to be part of a long-term strategy to combat micronutrient malnutrition in the arid and semi-arid tropical (SAT) regions of the world. Biofortification through molecular breeding is the way forward to achieving a rapid trait-based breeding strategy. This genome-wide association study (GWAS) was conducted to identify significant marker-trait associations (MTAs) for Fe, Zn, and protein content (PC) for enhanced biofortification breeding. A diverse panel of 281 advanced inbred lines was evaluated for Fe, Zn, and PC over two seasons. Phenotypic evaluation revealed high variability (Fe: 32–120 mg kg−1, Zn: 19–87 mg kg−1, PC: 8–16%), heritability (hbs2 ≥ 90%) and significantly positive correlation among Fe, Zn and PC (P = 0.01), implying concurrent improvement. Based on the Diversity Arrays Technology (DArT) seq assay, 58,719 highly informative SNPs were filtered for association mapping. Population structure analysis showed six major genetic groups (K = 6). A total of 78 MTAs were identified, of which 18 were associated with Fe, 43 with Zn, and 17 with PC. Four SNPs viz., Pgl04_64673688, Pgl05_135500493, Pgl05_144482656, and Pgl07_101483782 located on chromosomes Pgl04 (1), Pgl05 (2) and Pgl07 (1), respectively were co-segregated for Fe and Zn. Promising genes, ‘Late embryogenesis abundant protein’, ‘Myb domain’, ‘pentatricopeptide repeat’, and ‘iron ion binding’ coded by 8 SNPs were identified. The SNPs/genes identified in the present study presents prospects for genomics assisted biofortification breeding in pearl millet.
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Affiliation(s)
- Mahesh Pujar
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502 324, India.,University of Agricultural Sciences, Shivamogga, Karnataka, 577 225, India
| | - S Gangaprasad
- University of Agricultural Sciences, Shivamogga, Karnataka, 577 225, India
| | - Mahalingam Govindaraj
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502 324, India.
| | - Sunil S Gangurde
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502 324, India
| | - A Kanatti
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502 324, India
| | - Himabindu Kudapa
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, 502 324, India
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Sahu PK, Mondal S, Sao R, Vishwakarma G, Kumar V, Das BK, Sharma D. Genome-wide association mapping revealed numerous novel genomic loci for grain nutritional and yield-related traits in rice ( Oryza sativa L.) landraces. 3 Biotech 2020; 10:487. [PMID: 33123454 DOI: 10.1007/s13205-020-02467-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Accepted: 10/03/2020] [Indexed: 12/11/2022] Open
Abstract
A core set of 190 rice landraces were used to decipher the genetic structure and to discover the chromosomal regions containing QTLs, affecting the grain micro-nutrients, fatty acids, and yield-related traits by using 148 molecular markers in this study. Landraces were categorized into three sub-groups based on population stratification study and followed by neighbor-joining tree and principal component analysis. Analysis of variance revealed abundant variations among the landraces for studied traits with less influence of environmental factors. Genome Wide Association Studies (GWAS) revealed 22 significant and consistent QTLs through marker trait association (MTAs) for 12 traits based on 2 years and pooled analysis. Out of 22 QTLs, three have been reported earlier while 19 QTLs are novel. Interestingly, 13 QTLs out of 22 were explained more than 10% phenotypic variance. Association of RM1148 and RM205 with Days to 50% flowering was comparable with flowering control genes Ghd8/qDTH8 and qDTH9, respectively. Similarly, Zn content was associated with RM44, which is situated within the QTL qZn8-1. Moreover, significant association of RM25 with oleic acid content was closely positioned with QTL qOle8. Association of RM7434 with grain yield/plant; RM184 with spikelet fertility %; R3M10, R9M42 with hundred seed weight; RM536, RM17467, RM484, RM26063 with Fe content; RM44, RM6839 with Zn content are the major outcomes of this study. In addition, association of R11M23 with days to 50% flowering, panicle length and total spikelets per panicle are explained the possible occurrence of pleiotropism among these traits. Prominent rice landraces viz., Anjani (early maturity); Sihar (extra dwarf); Gangabaru (highest grain yield/plant); Karhani (highest iron content); Byalo-2 (highest zinc content) and Kadamphool (highest oleic acid) were identified through this study. The present study will open many avenues towards utilization of these QTLs and superior landraces in rice breeding for developing nutrition-rich high yielding varieties.
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Affiliation(s)
- Parmeshwar K Sahu
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012 India
| | - Suvendu Mondal
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085 India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400094 India
| | - Richa Sao
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012 India
| | - Gautam Vishwakarma
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085 India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400094 India
| | - Vikash Kumar
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085 India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400094 India
| | - B K Das
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai, 400085 India
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai, 400094 India
| | - Deepak Sharma
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh 492012 India
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Sahoo S, Sanghamitra P, Nanda N, Pawar S, Pandit E, Bastia R, Muduli KC, Pradhan SK. Association of molecular markers with physio-biochemical traits related to seed vigour in rice. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2020; 26:1989-2003. [PMID: 33088044 PMCID: PMC7548267 DOI: 10.1007/s12298-020-00879-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 08/18/2020] [Accepted: 09/01/2020] [Indexed: 05/08/2023]
Abstract
Eighteen physio-biochemical traits influencing seed vigour were studied for their association with molecular markers using a mini core set constituted from 120 germplasm lines. High genetic variation was detected in the parameters namely chlrophyll a, Chlrophyll b, total chlorophyll, carotenoids, total anthocyanin content, gamma-oryzanols, total phenolics content, superoxide dismutase, catalase, guaicol peroxidase, total soluble sugar, total protein, seed vigour index -I and seed vigour index -II. Strong positive correlation of seed vigour index II was observed with amylose content, total anthocyanin content, catalase, total phenolic content and total flavonoid content while a negative association was observed for gamma-oryzanol content. High gene diversity (0.7169) and informative markers value (0.6789) were estimated from the investigation. Three genetic structure groups were observed in the panel population and genotypes were grouped in the subpopulations based on the seed vigour trait. Differences in the fixation indices of the three sub populations indicated existence of linkage disequilibrium in the studied panel population. Association of the traits namely total flavonoids, superoxide dismutase, catalase, chlorophyll a, Chlorophyll b, total chlorophyll, carotenoids, starch, amylose, total anthocyanin, gamma-oryzanol, total phenolics with the molecular markers were detected by Generalized Linear Model and Mixed Linear Model showing > 0.10 R2 value. Association of the trait, total flavonoids with marker RM7364 located on chromosome 8 reported in earlier study was validated in this investigation. The validated markers and the novel markers detected showing higher R2 value will be useful for improvement of seed vigour in rice.
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Affiliation(s)
- Swastideepa Sahoo
- Department of Seed Technology, College of Agriculture, OUAT, Bhubaneswar, 751003 Odisha India
| | | | - Nibedita Nanda
- Department of Seed Technology, College of Agriculture, OUAT, Bhubaneswar, 751003 Odisha India
| | - Swapnil Pawar
- Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha 753006 India
| | | | - Ramakrushna Bastia
- Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha 753006 India
| | - Kumuda Chandra Muduli
- Department of Seed Technology, College of Agriculture, OUAT, Bhubaneswar, 751003 Odisha India
| | - Sharat Kumar Pradhan
- Crop Improvement Division, ICAR-National Rice Research Institute, Cuttack, Odisha 753006 India
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Pradhan SK, Pandit E, Pawar S, Naveenkumar R, Barik SR, Mohanty SP, Nayak DK, Ghritlahre SK, Sanjiba Rao D, Reddy JN, Patnaik SSC. Linkage disequilibrium mapping for grain Fe and Zn enhancing QTLs useful for nutrient dense rice breeding. BMC PLANT BIOLOGY 2020; 20:57. [PMID: 32019504 PMCID: PMC7001215 DOI: 10.1186/s12870-020-2262-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 01/20/2020] [Indexed: 05/23/2023]
Abstract
BACKGROUND High yielding rice varieties are usually low in grain iron (Fe) and zinc (Zn) content. These two micronutrients are involved in many enzymatic activities, lack of which cause many disorders in human body. Bio-fortification is a cheaper and easier way to improve the content of these nutrients in rice grain. RESULTS A population panel was prepared representing all the phenotypic classes for grain Fe-Zn content from 485 germplasm lines. The panel was studied for genetic diversity, population structure and association mapping of grain Fe-Zn content in the milled rice. The population showed linkage disequilibrium showing deviation of Hardy-Weinberg's expectation for Fe-Zn content in rice. Population structure at K = 3 categorized the panel population into distinct sub-populations corroborating with their grain Fe-Zn content. STRUCTURE analysis revealed a common primary ancestor for each sub-population. Novel quantitative trait loci (QTLs) namely qFe3.3 and qFe7.3 for grain Fe and qZn2.2, qZn8.3 and qZn12.3 for Zn content were detected using association mapping. Four QTLs, namely qFe3.3, qFe7.3, qFe8.1 and qFe12.2 for grain Fe content were detected to be co-localized with qZn3.1, qZn7, qZn8.3 and qZn12.3 QTLs controlling grain Zn content, respectively. Additionally, some Fe-Zn controlling QTLs were co-localized with the yield component QTLs, qTBGW, OsSPL14 and qPN. The QTLs qFe1.1, qFe3.1, qFe5.1, qFe7.1, qFe8.1, qZn6, qZn7 and gRMm9-1 for grain Fe-Zn content reported in earlier studies were validated in this study. CONCLUSION Novel QTLs, qFe3.3 and qFe7.3 for grain Fe and qZn2.2, qZn8.3 and qZn12.3 for Zn content were detected for these two traits. Four Fe-Zn controlling QTLs and few yield component QTLs were detected to be co-localized. The QTLs, qFe1.1, qFe3.1, qFe5.1, qFe7.1, qFe8.1, qFe3.3, qFe7.3, qZn6, qZn7, qZn2.2, qZn8.3 and qZn12.3 will be useful for biofortification of the micronutrients. Simultaneous enhancement of Fe-Zn content may be possible with yield component traits in rice.
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Affiliation(s)
- S. K. Pradhan
- ICAR-National Rice Research Institute, Cuttack, Odisha India
| | - E. Pandit
- ICAR-National Rice Research Institute, Cuttack, Odisha India
| | - S. Pawar
- ICAR-National Rice Research Institute, Cuttack, Odisha India
| | - R. Naveenkumar
- ICAR-National Rice Research Institute, Cuttack, Odisha India
| | - S. R. Barik
- ICAR-National Rice Research Institute, Cuttack, Odisha India
| | - S. P. Mohanty
- ICAR-National Rice Research Institute, Cuttack, Odisha India
| | - D. K. Nayak
- ICAR-National Rice Research Institute, Cuttack, Odisha India
| | | | - D. Sanjiba Rao
- ICAR-Indian Institute of Rice Research, Hyderabad, India
| | - J. N. Reddy
- ICAR-National Rice Research Institute, Cuttack, Odisha India
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