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Prakash NR, Kumar K, Muthusamy V, Zunjare RU, Hossain F. Unique genetic architecture of prolificacy in 'Sikkim Primitive' maize unraveled through whole-genome resequencing-based DNA polymorphism. Plant Cell Rep 2024; 43:134. [PMID: 38702564 DOI: 10.1007/s00299-024-03176-0] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 02/13/2024] [Indexed: 05/06/2024]
Abstract
KEY MESSAGE 'Sikkim Primitive' maize landrace, unique for prolificacy (7-9 ears per plant) possesses unique genomic architecture in branching and inflorescence-related gene(s), and locus Zm00001eb365210 encoding glycosyltransferases was identified as the putative candidate gene underlying QTL (qProl-SP-8.05) for prolificacy. The genotype possesses immense usage in breeding high-yielding baby-corn genotypes. 'Sikkim Primitive' is a native landrace of North Eastern Himalayas, and is characterized by having 7-9 ears per plant compared to 1-2 ears in normal maize. Though 'Sikkim Primitive' was identified in the 1960s, it has not been characterized at a whole-genome scale. Here, we sequenced the entire genome of an inbred (MGUSP101) derived from 'Sikkim Primitive' along with three non-prolific (HKI1128, UMI1200, and HKI1105) and three prolific (CM150Q, CM151Q and HKI323) inbreds. A total of 942,417 SNPs, 24,160 insertions, and 27,600 deletions were identified in 'Sikkim Primitive'. The gene-specific functional mutations in 'Sikkim Primitive' were classified as 10,847 missense (54.36%), 402 non-sense (2.015%), and 8,705 silent (43.625%) mutations. The number of transitions and transversions specific to 'Sikkim Primitive' were 666,021 and 279,950, respectively. Among all base changes, (G to A) was the most frequent (215,772), while (C to G) was the rarest (22,520). Polygalacturonate 4-α-galacturonosyltransferase enzyme involved in pectin biosynthesis, cell-wall organization, nucleotide sugar, and amino-sugar metabolism was found to have unique alleles in 'Sikkim Primitive'. The analysis further revealed the Zm00001eb365210 gene encoding glycosyltransferases as the putative candidate underlying QTL (qProl-SP-8.05) for prolificacy in 'Sikkim Primitive'. High-impact nucleotide variations were found in ramosa3 (Zm00001eb327910) and zeaxanthin epoxidase1 (Zm00001eb081460) genes having a role in branching and inflorescence development in 'Sikkim Primitive'. The information generated unraveled the genetic architecture and identified key genes/alleles unique to the 'Sikkim Primitive' genome. This is the first report of whole-genome characterization of the 'Sikkim Primitive' landrace unique for its high prolificacy.
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Affiliation(s)
- Nitish Ranjan Prakash
- ICAR-Indian Agricultural Research Institute, New Delhi, Delhi, 110012, India
- ICAR-Central Soil Salinity Research Institute, Karnal, Haryana, 132001, India
| | - Kuldeep Kumar
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, Delhi, 110012, India
| | - Vignesh Muthusamy
- ICAR-Indian Agricultural Research Institute, New Delhi, Delhi, 110012, India
| | | | - Firoz Hossain
- ICAR-Indian Agricultural Research Institute, New Delhi, Delhi, 110012, India.
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Anilkumar C, Sah RP, Muhammed Azharudheen TP, Behera S, Singh N, Prakash NR, Sunitha NC, Devanna BN, Marndi BC, Patra BC, Nair SK. Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification. Sci Rep 2022; 12:13832. [PMID: 35974066 PMCID: PMC9381546 DOI: 10.1038/s41598-022-17402-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 07/25/2022] [Indexed: 11/17/2022] Open
Abstract
Quantitative trait loci (QTL) for rice grain weight identified using bi-parental populations in various environments were found inconsistent and have a modest role in marker assisted breeding and map-based cloning programs. Thus, the identification of a consistent consensus QTL region across populations is critical to deploy in marker aided breeding programs. Using the QTL meta-analysis technique, we collated rice grain weight QTL information from numerous studies done across populations and in diverse environments to find constitutive QTL for grain weight. Using information from 114 original QTL in meta-analysis, we discovered three significant Meta-QTL (MQTL) for grain weight on chromosome 3. According to gene ontology, these three MQTL have 179 genes, 25 of which have roles in developmental functions. Amino acid sequence BLAST of these genes indicated their orthologue conservation among core cereals with similar functions. MQTL3.1 includes the OsAPX1, PDIL, SAUR, and OsASN1 genes, which are involved in grain development and have been discovered to play a key role in asparagine biosynthesis and metabolism, which is crucial for source-sink regulation. Five potential candidate genes were identified and their expression analysis indicated a significant role in early grain development. The gene sequence information retrieved from the 3 K rice genome project revealed the deletion of six bases coding for serine and alanine in the last exon of OsASN1 led to an interruption in the synthesis of α-helix of the protein, which negatively affected the asparagine biosynthesis pathway in the low grain weight genotypes. Further, the MQTL3.1 was validated using linked marker RM7197 on a set of genotypes with extreme phenotypes. MQTL that have been identified and validated in our study have significant scope in MAS breeding and map-based cloning programs for improving rice grain weight.
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Affiliation(s)
- C Anilkumar
- ICAR-National Rice Research Institute, Cuttack, India.
| | | | | | | | - Namita Singh
- Indira Gandhi Krishi Vishwavidyalaya, Raipur, India
| | - Nitish Ranjan Prakash
- ICAR-Central Soil Salinity Research Institute, Regional Research Station, Canning Town, India
| | - N C Sunitha
- University of Agricultural Sciences, Bangalore, India
| | - B N Devanna
- ICAR-National Rice Research Institute, Cuttack, India
| | - B C Marndi
- ICAR-National Rice Research Institute, Cuttack, India
| | - B C Patra
- ICAR-National Rice Research Institute, Cuttack, India
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Kumar P, Choudhary M, Halder T, Prakash NR, Singh V, V. VT, Sheoran S, T. RK, Longmei N, Rakshit S, Siddique KHM. Salinity stress tolerance and omics approaches: revisiting the progress and achievements in major cereal crops. Heredity (Edinb) 2022; 128:497-518. [DOI: 10.1038/s41437-022-00516-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 02/12/2022] [Accepted: 02/14/2022] [Indexed: 02/07/2023] Open
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Prakash NR, Lokeshkumar BM, Rathor S, Warraich AS, Yadav S, Vinaykumar NM, Dushynthkumar BM, Krishnamurthy SL, Sharma PC. Meta-analysis and validation of genomic loci governing seedling and reproductive stage salinity tolerance in rice. Physiol Plant 2022; 174:e13629. [PMID: 35040153 DOI: 10.1111/ppl.13629] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 10/29/2021] [Accepted: 01/13/2022] [Indexed: 05/24/2023]
Abstract
Identification of concurrent genomic regions contributing tolerance to salinity at the seedling and reproductive stages were done using 45 quantitative trait loci (QTL) mapping studies reporting 915 individual QTLs. The QTL-data were used to perform a meta-analysis to predict, validate and analyze the Meta-QTLs governing component traits contributing to salinity tolerance. We predicted a total of 65 and 49 Meta-QTLs distributed across the genome governing seedling and reproductive stage salinity tolerance, respectively. Salinity stress (EC ~10.0 dSm-1 ) was evaluated in a set of 32 genotypes grown hydroponically, from these eight extreme (highly tolerant and highly susceptible) genotypes were selected for validation of significant Meta-QTLs. Another set of eight previously known and reported (highly tolerant and highly susceptible) genotypes were evaluated under saline micro plot conditions (EC ~8.0 dSm-1 ) and used for validation of significant Meta-QTLs for reproductive stage salinity tolerance. The microsatellite marker "RM5635" linked to MSQTL4.2 (~295.43 kb) was able to clearly differentiate contrasting genotypes for seedling stage salinity tolerance, whereas at the reproductive stage, none of the markers were able to validate the predicted Meta-QTL for salinity tolerance. Earlier reported, gene expression studies were used for candidate gene analysis of validated MSQTL4.2, which indicated the down regulation of Os04g0423100, a gene encoding Mono-oxygenase-FAD binding domain containing protein. The traits associated with this Meta-QTL were root and shoot sodium and potassium concentration and leaf chlorophyll content. The identified and validated genomic region assumes a great significant role in seedling stage salinity tolerance in rice, and it can be used for marker-assisted backcross breeding programs.
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Affiliation(s)
| | | | - Suman Rathor
- ICAR-Central Soil Salinity Research Institute, Karnal, Haryana, India
| | | | - Satyendra Yadav
- ICAR-Central Soil Salinity Research Institute, Karnal, Haryana, India
| | | | | | | | - Parbodh C Sharma
- ICAR-Central Soil Salinity Research Institute, Karnal, Haryana, India
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Mehta BK, Chhabra R, Muthusamy V, Zunjare RU, Baveja A, Chauhan HS, Prakash NR, Chalam VC, Singh AK, Hossain F. Expression analysis of β-carotene hydroxylase1 and opaque2 genes governing accumulation of provitamin-A, lysine and tryptophan during kernel development in biofortified sweet corn. 3 Biotech 2021; 11:325. [PMID: 34194909 DOI: 10.1007/s13205-021-02837-1] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 05/07/2021] [Indexed: 12/01/2022] Open
Abstract
Traditional sweet corn possesses low levels of provitamin-A (proA), lysine and tryptophan. Mutant version of β-carotene hydroxylase1 (crtRB1) gene affecting the accumulation of β-carotene (BC), β-cryptoxanthin (BCX) and proA, and opaque2 (o2) gene governing the enhancement of lysine and tryptophan were introgressed together into elite sweet corn inbreds through marker-assisted selection. Here, we analyzed the expression pattern of crtRB1 and o2 genes among introgressed and traditional sweet corn inbreds at 20-, 24- and 28-days after pollination (DAP). The introgressed inbreds possessed two- to sevenfolds higher BC, BCX, proA, lysine and tryptophan compared to their original inbreds. However, all the nutrients attained the peak at 20-DAP (BC: 9.95 µg/g, BCX: 8.21 µg/g, proA: 14.05 µg/g, lysine: 0.301%, tryptophan: 0.074%), which gradually reduced through 24-DAP (BC: 8.24 µg/g, BCX: 7.53 µg/g, proA: 12.01 µg/g, lysine: 0.273%, tryptophan: 0.057%) and 28-DAP (BC: 5.84 µg/g, BCX: 5.82 µg/g, proA: 8.75 µg/g, lysine: 0.202%, tryptophan: 0.037%). Biofortified sweet corn inbreds possessed significantly lower expression levels of crtRB1 (4.1-fold) and o2 (2.2-fold) compared to their wild type alleles in traditional sweet corn inbreds across DAPs. The expression of crtRB1 and o2 increased from 20-DAP to attain the highest peak at 24-DAP, and further decreased by 28-DAP. The transcript levels of crtRB1 were negatively correlated with BC (r = - 0.83), BCX (r = - 0.79) and proA (r = - 0.83) across dates of harvest. Lysine (r = - 0.83) and tryptophan (r = - 0.73) were also inversely associated with o2 transcript levels. This is the first report on expression of crtRB1 and o2 genes during kernel development in biofortified sweet corn. This information holds immense promise in understanding the dynamics of gene-regulation during kernel development in sweet corn.
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Affiliation(s)
- Brijesh Kumar Mehta
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
- Present Address: ICAR-Indian Grassland and Fodder Research Institute, Jhansi, 284003 India
| | - Rashmi Chhabra
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Vignesh Muthusamy
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
| | | | - Aanchal Baveja
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
| | | | | | | | - Ashok Kumar Singh
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
| | - Firoz Hossain
- ICAR-Indian Agricultural Research Institute, New Delhi, 110012 India
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