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Maniruzzaman S, Rahman MA, Hasan M, Rasul MG, Molla AH, Khatun H, Iftekharuddaula KM, Kabir MS, Akter S. Molecular Mapping to Discover Reliable Salinity-Resilient QTLs from the Novel Landrace Akundi in Two Bi-Parental Populations Using SNP-Based Genome-Wide Analysis in Rice. Int J Mol Sci 2023; 24:11141. [PMID: 37446320 DOI: 10.3390/ijms241311141] [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: 05/26/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023] Open
Abstract
Achieving high-yield potential is always the ultimate objective of any breeding program. However, various abiotic stresses such as salinity, drought, cold, flood, and heat hampered rice productivity tremendously. Salinity is one of the most important abiotic stresses that adversely affect rice grain yield. The present investigation was undertaken to dissect new genetic loci, which are responsible for salt tolerance at the early seedling stage in rice. A bi-parental mapping population (F2:3) was developed from the cross between BRRI dhan28/Akundi, where BRRI dhan28 (BR28) is a salt-sensitive irrigated (boro) rice mega variety and Akundi is a highly salinity-tolerant Bangladeshi origin indica rice landrace that is utilized as a donor parent. We report reliable and stable QTLs for salt tolerance from a common donor (Akundi) irrespective of two different genetic backgrounds (BRRI dhan49/Akundi and BRRI dhan28/Akundi). A robust 1k-Rice Custom Amplicon (1k-RiCA) SNP marker genotyping platform was used for genome-wide analysis of this bi-parental population. After eliminating markers with high segregation distortion, 886 polymorphic SNPs built a genetic linkage map covering 1526.5 cM of whole rice genome with an average SNP density of 1.72 cM for the 12 genetic linkage groups. A total of 12 QTLs for nine different salt tolerance-related traits were identified using QGene and inclusive composite interval mapping of additive and dominant QTL (ICIM-ADD) under salt stress on seven different chromosomes. All of these 12 new QTLs were found to be unique, as no other map from the previous study has reported these QTLs in the similar chromosomal location and found them different from extensively studied Saltol, SKC1, OsSalT, and salT locus. Twenty-eight significant digenic/epistatic interactions were identified between chromosomal regions linked to or unlinked to QTLs. Akundi acts like a new alternate donor source of salt tolerance except for other usually known donors such as Nona Bokra, Pokkali, Capsule, and Hasawi used in salt tolerance genetic analysis and breeding programs worldwide, including Bangladesh. Integration of the seven novel, reliable, stable, and background independent salinity-resilient QTLs (qSES1, qSL1, qRL1, qSUR1, qSL8, qK8, qK1) reported in this investigation will expedite the cultivar development that is highly tolerant to salt stress.
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Affiliation(s)
- Sheikh Maniruzzaman
- Plant Breeding Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh
- Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
| | - M Akhlasur Rahman
- Plant Breeding Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh
| | - Mehfuz Hasan
- Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
| | - Mohammad Golam Rasul
- Department of Genetics and Plant Breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
| | - Abul Hossain Molla
- Department of Environmental Science, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh
| | - Hasina Khatun
- Plant Breeding Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh
| | - K M Iftekharuddaula
- Plant Breeding Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh
| | - Md Shahjahan Kabir
- Plant Breeding Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh
| | - Salma Akter
- Plant Physiology Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh
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Dar MH, Zaidi NW, Waza SA, Verulkar SB, Ahmed T, Singh PK, Roy SKB, Chaudhary B, Yadav R, Islam MM, Iftekharuddaula KM, Roy JK, Kathiresan RM, Singh BN, Singh US, Ismail AM. No yield penalty under favorable conditions paving the way for successful adoption of flood tolerant rice. Sci Rep 2018; 8:9245. [PMID: 29915310 PMCID: PMC6006260 DOI: 10.1038/s41598-018-27648-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 05/30/2018] [Indexed: 01/25/2023] Open
Abstract
Flooding is one of the major constraints for rice production in rainfed lowlands, especially in years and areas of high rainfall. Incorporating the Sub1 (Submergence1) gene into high yielding popular varieties has proven to be the most feasible approach to sustain rice production in submergence-prone areas. Introgression of this QTL into popular varieties has resulted in considerable improvement in yield after flooding. However, its impact under non-flooded conditions or years have not been thoroughly evaluated which is important for the farmers to accept and adopt any new version of their popular varieties. The present study was carried out to evaluate the effect of Sub1 on grain yield of rice in different genetic backgrounds, under non-submergence conditions, over years and locations. The study was carried out using head to head trials in farmer’s fields, which enable the farmers to more accurately compare the performance of Sub1 varieties with their recurrent parents under own management. The data generated from different head to head trials revealed that the grain yield of Sub1 varieties was either statistically similar or higher than their non-Sub1 counterparts under non-submergence conditions. Thus, Sub1 rice varieties show no instance of yield penalty of the introgressed gene.
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Affiliation(s)
- Manzoor H Dar
- International Rice Research Institute (IRRI-India), NASC Complex, New Delhi, India.
| | - Najam W Zaidi
- International Rice Research Institute (IRRI-India), NASC Complex, New Delhi, India
| | - Showkat A Waza
- Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir (J&K), Kashmir, India
| | | | - T Ahmed
- Assam Agricultural University, Jorhat, Assam, India
| | - P K Singh
- Banaras Hindu University, Varanasi, Uttar Pradesh, India
| | | | | | - Rambaran Yadav
- Regional Agriculture Research Station, NARC, Bara, Nepal
| | | | | | - J K Roy
- Association for Integrated Development (AID), Bhubaneswar, Odisha, India
| | | | - B N Singh
- Centre for Research and Development (CRD), Gorakhpur, UP, India
| | - Uma S Singh
- International Rice Research Institute (IRRI-India), NASC Complex, New Delhi, India
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Kabir MS, Salam MU, Chowdhury A, Rahman NMF, Iftekharuddaula KM, Rahman MS, Rashid MH, Dipti SS, Islam A, Latif MA, Islam AKMS, Hossain MM, Nessa B, Ansari TH, Ali MA, Biswas JK. Rice Vision for Bangladesh: 2050 and Beyond. ACTA ACUST UNITED AC 2016. [DOI: 10.3329/brj.v19i2.28160] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
CORRECTION: Due to a number of formatting and layout issues, the PDF of this paper was replaced on 10th October 2016.Combined efforts of farmers, rice scientists, extension personnel and Government of Bangladesh have yielded clean rice growth rate of 0.34 million ton (MT) year-1 during 2009-10 to 2013-14 in the country. In 2014-15, the country acquired a rice surplus of about 2 MT. However, maintaining the current surplus of rice in the coming decades is a great challenge. Authentic estimation of future rice requirement and future resource availability would guide to way forward. This paper presents rice vision for Bangladesh leading to 2050 and beyond. In this study, secondary data from different government-owned statistics and research institutes were collected, analyzed and synthesized to develop models and/or model parameters to generate outputs such as future population, rice production and rice requirement. Population of Bangladesh will reach 215.4 million in 2050, when 44.6 MT of clean rice will be required. With the pace of rice-production-increase in the last five years, production can reach 47.2 MT, having a surplus of 2.6 MT in 2050. The study sets 2.6 MT as the target for clean rice surplus every year leading to 2050 and beyond. Several hurdles, such as increasing population, decreasing resources and increasing climate vulnerability, can hinder achieving the target. Three major interventions?accelerating genetic gain, minimizing yield gap and curtailing adoption lag?are proposed to break the barriers to achieve the target. Major challenges to implement the interventions include shrinking net cropped area, decreasing availability of irrigation water and increasing pressure on soil fertility. Smart technology such as, location specific variety, profitable cropping sequences, innovative cultural management, and mechanization coupled with smart dissemination using multiple means would ease production barriers. We recommend a number of measures, such as, guaranteeing a minimum cropped area, accelerating the rate of genetic gain in varietal development and intensifying collaboration among the stakeholders to reduce adoption lag of newly released promising rice varieties, to achieve the rice vision of Bangladesh leading to 2050 and beyond.Bangladesh Rice j. 2015, 19(2): 1-18
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Iftekharuddaula KM, Salam MA, Newaz MA, Ahmed HU, Collard BCY, Septiningsih EM, Sanchez DL, Pamplona AM, Mackill DJ. Comparison of phenotypic versus marker-assisted background selection for the SUB1 QTL during backcrossing in rice. Breed Sci 2012; 62:216-22. [PMID: 23226081 PMCID: PMC3501938 DOI: 10.1270/jsbbs.62.216] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2011] [Accepted: 03/28/2012] [Indexed: 05/23/2023]
Abstract
Marker assisted backcrossing has been used effectively to transfer the submergence tolerance gene SUB1 into popular rice varieties, but the approach can be costly. The selection strategy comprising foreground marker and phenotypic selection was investigated as an alternative. The non-significant correlation coefficients between ranking of phenotypic selection and ranking of background marker selection in BC(2)F(1), BC(3)F(1) and BC(3)F(2) generations indicated inefficiency of phenotypic selection compared to marker-assisted background selection with respect to recovery of the recipient genome. In addition, the introgression size of the chromosome fragment containing SUB1 was approximately 17 Mb, showing the effects of linkage drag. The significant correlation coefficient between rankings of phenotypic selection with the percentage of recipient alleles in the BC(1)F(1) generation suggested that background selection could be avoided in this generation to minimize the genotyping cost. The phenotypically selected best plant of the BC(3)F(1) generation was selfed and backcross recombinant lines were selected in the resulting BC(3)F(4) generation. The selection strategy could be appropriate for the introgression of SUB1 QTL in countries that lack access to high-throughput genotyping facilities.
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Affiliation(s)
| | | | | | - Helal U. Ahmed
- Bangladesh Rice Research Institute, Gazipur-1701, Bangladesh
| | | | | | - Darlene L. Sanchez
- International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines
| | - Alvaro M. Pamplona
- International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines
| | - David J. Mackill
- International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines
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