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Nagata K, Nonoue Y, Matsubara K, Mizobuchi R, Ono N, Shibaya T, Ebana K, Ogiso-Tanaka E, Tanabata T, Sugimoto K, Taguchi-Shiobara F, Yonemaru JI, Uga Y, Fukuda A, Ueda T, Yamamoto SI, Yamanouchi U, Takai T, Ikka T, Kondo K, Hoshino T, Yamamoto E, Adachi S, Sun J, Kuya N, Kitomi Y, Iijima K, Nagasaki H, Shomura A, Mizubayashi T, Kitazawa N, Hori K, Ando T, Yamamoto T, Fukuoka S, Yano M. Development of 12 sets of chromosome segment substitution lines that enhance allele mining in Asian cultivated rice. BREEDING SCIENCE 2023; 73:332-342. [PMID: 37840983 PMCID: PMC10570878 DOI: 10.1270/jsbbs.23006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/12/2023] [Indexed: 10/17/2023]
Abstract
Many agronomic traits that are important in rice breeding are controlled by multiple genes. The extensive time and effort devoted so far to identifying and selecting such genes are still not enough to target multiple agronomic traits in practical breeding in Japan because of a lack of suitable plant materials in which to efficiently detect and validate beneficial alleles from diverse genetic resources. To facilitate the comprehensive analysis of genetic variation in agronomic traits among Asian cultivated rice, we developed 12 sets of chromosome segment substitution lines (CSSLs) with the japonica background, 11 of them in the same genetic background, using donors representing the genetic diversity of Asian cultivated rice. Using these materials, we overviewed the chromosomal locations of 1079 putative QTLs for seven agronomic traits and their allelic distribution in Asian cultivated rice through multiple linear regression analysis. The CSSLs will allow the effects of putative QTLs in the highly homogeneous japonica background to be validated.
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Affiliation(s)
- Kazufumi Nagata
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Yasunori Nonoue
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kazuki Matsubara
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Ritsuko Mizobuchi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Nozomi Ono
- Institute of the Society for Techno-innovation of Agriculture, Forestry and Fisheries, 446-1 Ippaizuka, Kamiyokoba, Tsukuba, Ibaraki 305-0854, Japan
| | - Taeko Shibaya
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kaworu Ebana
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Eri Ogiso-Tanaka
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Takanari Tanabata
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kazuhiko Sugimoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Fumio Taguchi-Shiobara
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Jun-ichi Yonemaru
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Yusaku Uga
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Atsunori Fukuda
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tadamasa Ueda
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Shin-ichi Yamamoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Utako Yamanouchi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Toshiyuki Takai
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Takashi Ikka
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Katsuhiko Kondo
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tomoki Hoshino
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Eiji Yamamoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Shunsuke Adachi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Jian Sun
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Noriyuki Kuya
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Yuka Kitomi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Ken Iijima
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Hideki Nagasaki
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Ayahiko Shomura
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tatsumi Mizubayashi
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Noriyuki Kitazawa
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Kiyosumi Hori
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Tsuyu Ando
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Toshio Yamamoto
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Shuichi Fukuoka
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
| | - Masahiro Yano
- National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
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Malik P, Huang M, Neelam K, Bhatia D, Kaur R, Yadav B, Singh J, Sneller C, Singh K. Genotyping-by-Sequencing Based Investigation of Population Structure and Genome Wide Association Studies for Seven Agronomically Important Traits in a Set of 346 Oryza rufipogon Accessions. RICE (NEW YORK, N.Y.) 2022; 15:37. [PMID: 35819660 PMCID: PMC9276952 DOI: 10.1186/s12284-022-00582-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 06/27/2022] [Indexed: 06/15/2023]
Abstract
Being one of the most important staple dietary constituents globally, genetic enhancement of cultivated rice for yield, agronomically important traits is of substantial importance. Even though the climatic factors and crop management practices impact complex traits like yield immensely, the contribution of variation by underlying genetic factors surpasses them all. Previous studies have highlighted the importance of utilizing exotic germplasm, landraces in enhancing the diversity of gene pool, leading to better selections and thus superior cultivars. Thus, to fully exploit the potential of progenitor of Asian cultivated rice for productivity related traits, genome wide association study (GWAS) for seven agronomically important traits was conducted on a panel of 346 O. rufipogon accessions using a set of 15,083 high-quality single nucleotide polymorphic markers. The phenotypic data analysis indicated large continuous variation for all the traits under study, with a significant negative correlation observed between grain parameters and agronomic parameters like plant height, culm thickness. The presence of 74.28% admixtures in the panel as revealed by investigating population structure indicated the panel to be very poorly genetically differentiated, with rapid LD decay. The genome-wide association analyses revealed a total of 47 strong MTAs with 19 SNPs located in/close to previously reported QTL/genic regions providing a positive analytic proof for our studies. The allelic differences of significant MTAs were found to be statistically significant at 34 genomic regions. A total of 51 O. rufipogon accessions harboured combination of superior alleles and thus serve as potential candidates for accelerating rice breeding programs. The present study identified 27 novel SNPs to be significantly associated with different traits. Allelic differences between cultivated and wild rice at significant MTAs determined superior alleles to be absent at 12 positions implying substantial scope of improvement by their targeted introgression into cultivars. Introgression of novel significant genomic regions into breeder's pool would broaden the genetic base of cultivated rice, thus making the crop more resilient.
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Affiliation(s)
- Palvi Malik
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
- Department of Horticulture and Crop Science, OARDC, The Ohio State University, Wooster, USA
| | - Mao Huang
- Department of Horticulture and Crop Science, OARDC, The Ohio State University, Wooster, USA
| | - Kumari Neelam
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India.
| | - Dharminder Bhatia
- Department of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, India
| | - Ramanjeet Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Bharat Yadav
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
- Crop Pathology and Genetics Lab, University of British Columbia, Vancouver, Canada
| | - Jasdeep Singh
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Clay Sneller
- Department of Horticulture and Crop Science, OARDC, The Ohio State University, Wooster, USA
| | - Kuldeep Singh
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, Telangana, India
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Fayos I, Frouin J, Meynard D, Vernet A, Herbert L, Guiderdoni E. Manipulation of Meiotic Recombination to Hasten Crop Improvement. BIOLOGY 2022; 11:369. [PMID: 35336743 PMCID: PMC8945028 DOI: 10.3390/biology11030369] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 02/22/2022] [Accepted: 02/23/2022] [Indexed: 01/15/2023]
Abstract
Reciprocal (cross-overs = COs) and non-reciprocal (gene conversion) DNA exchanges between the parental chromosomes (the homologs) during meiotic recombination are, together with mutation, the drivers for the evolution and adaptation of species. In plant breeding, recombination combines alleles from genetically diverse accessions to generate new haplotypes on which selection can act. In recent years, a spectacular progress has been accomplished in the understanding of the mechanisms underlying meiotic recombination in both model and crop plants as well as in the modulation of meiotic recombination using different strategies. The latter includes the stimulation and redistribution of COs by either modifying environmental conditions (e.g., T°), harnessing particular genomic situations (e.g., triploidy in Brassicaceae), or inactivating/over-expressing meiotic genes, notably some involved in the DNA double-strand break (DSB) repair pathways. These tools could be particularly useful for shuffling diversity in pre-breeding generations. Furthermore, thanks to the site-specific properties of genome editing technologies the targeting of meiotic recombination at specific chromosomal regions nowadays appears an attainable goal. Directing COs at desired chromosomal positions would allow breaking linkage situations existing between favorable and unfavorable alleles, the so-called linkage drag, and accelerate genetic gain. This review surveys the recent achievements in the manipulation of meiotic recombination in plants that could be integrated into breeding schemes to meet the challenges of deploying crops that are more resilient to climate instability, resistant to pathogens and pests, and sparing in their input requirements.
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Affiliation(s)
- Ian Fayos
- Meiogenix, 38 rue Sevran, 75011 Paris, France; (I.F.); (L.H.)
| | - Julien Frouin
- CIRAD, UMR AGAP Institut, F-34398 Montpellier, France; (J.F.); (D.M.); (A.V.)
- UMR AGAP Institut, Université de Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
| | - Donaldo Meynard
- CIRAD, UMR AGAP Institut, F-34398 Montpellier, France; (J.F.); (D.M.); (A.V.)
- UMR AGAP Institut, Université de Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
| | - Aurore Vernet
- CIRAD, UMR AGAP Institut, F-34398 Montpellier, France; (J.F.); (D.M.); (A.V.)
- UMR AGAP Institut, Université de Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
| | - Léo Herbert
- Meiogenix, 38 rue Sevran, 75011 Paris, France; (I.F.); (L.H.)
| | - Emmanuel Guiderdoni
- CIRAD, UMR AGAP Institut, F-34398 Montpellier, France; (J.F.); (D.M.); (A.V.)
- UMR AGAP Institut, Université de Montpellier, CIRAD, INRAE, Institut Agro, F-34398 Montpellier, France
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Genetic mapping for grain quality and yield-attributed traits in Basmati rice using SSR-based genetic map. J Biosci 2021. [DOI: 10.1007/s12038-021-00169-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Deciphering variation of 239 elite japonica rice genomes for whole genome sequences-enabled breeding. Genomics 2021; 113:3083-3091. [PMID: 34237377 DOI: 10.1016/j.ygeno.2021.07.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 07/01/2021] [Accepted: 07/02/2021] [Indexed: 11/23/2022]
Abstract
Revealing genomic variation of representative and diverse germplasm is the cornerstone of deploying genomics information into genetic improvement programs of species of agricultural importance. Here we report the re-sequencing of 239 japonica rice elites representing the genetic diversity of japonica germplasm in China, Japan and Korea. A total of 4.8 million SNPs and PAV of 35,634 genes were identified. The elites from Japan and Korea are closely related and relatively less diverse than those from China. A japonica rice pan-genome was constructed, and 35 Mb non-redundant novel sequences were identified, from which 1131 novel genes were predicted. Strong selection signals of genomic regions were detected on most of the chromosomes. The heading date genes Hd1 and Hd3a have been artificially selected during the breeding process. The results from this study lay the foundation for future whole genome sequences-enabled breeding in rice and provide a paradigm for other species.
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Characterization of Quantitative Trait Loci for Germination and Coleoptile Length under Low-Temperature Condition Using Introgression Lines Derived from an Interspecific Cross in Rice. Genes (Basel) 2020; 11:genes11101200. [PMID: 33076295 PMCID: PMC7650692 DOI: 10.3390/genes11101200] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/08/2020] [Accepted: 10/09/2020] [Indexed: 01/26/2023] Open
Abstract
Previously, five putative quantitative trait loci (QTLs) for low-temperature germination (LTG) have been detected using 96 BC3F8 lines derived from an interspecific cross between the Korean japonica cultivar “Hwaseong” and Oryza rufipogon. In the present study, two introgression lines, CR1517 and CR1518, were used as parents to detect additional QTLs and analyze interactions among QTLs for LTG. The F2 population (154 plants) along with parental lines, Hwaseong and O. rufipogon, were evaluated for LTG and coleoptile length under low-temperature conditions (13 °C). Among five QTLs for LTG, two major QTLs, qLTG1 and qLTG3, were consistently detected at 6 and 7 days after incubation. Three minor QTLs were detected on chromosomes 8 and 10. Two QTLs, qLTG10.1 and qLTG10.2, showing linkage on chromosome 10, exerted opposite effects with the Hwaseong allele at qLTG10.2 and the O. rufipogon allele at qLTG10.1 respectively, in turn, increasing LTG. Interactions among QTLs were not significant, implying that the QTLs act in an additive manner. Near-isogenic line plants with the combination of favorable alleles from O. rufipogon and Hwaseong exhibited higher LTG than two introgression lines. With regard to coleoptile length, three QTLs observed on chromosomes 1, 3, and 8 were colocalized with QTLs for LTG, suggesting the pleiotropy of the single gene at each locus. According to the results, the introgression of favorable O. rufipogon alleles could hasten the development of rice with high LTG and high coleoptile elongation in japonica cultivars.
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Gouda G, Gupta MK, Donde R, Mohapatra T, Vadde R, Behera L. Marker-assisted selection for grain number and yield-related traits of rice ( Oryza sativa L.). PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2020; 26:885-898. [PMID: 32377039 PMCID: PMC7196572 DOI: 10.1007/s12298-020-00773-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 02/11/2020] [Accepted: 02/13/2020] [Indexed: 05/11/2023]
Abstract
Continuous rise in the human population has resulted in an upsurge in food demand, which in turn demand grain yield enhancement of cereal crops, including rice. Rice yield is estimated via the number of tillers, grain number per panicles, and the number of spikes present per panicle. Marker-assisted selection (MAS) serve as one of the best ways to introduce QTLs/gene associated with yield in the rice plant. MAS has also been employed effectively in dissecting several other complex agricultural traits, for instance, drought, cold tolerance, salinity, etc. in rice plants. Thus, in this review, authors attempted to collect information about various genes/QTLs associated with high yield, including grain number, in rice and how different scheme of MAS can be employed to introduce them in rice (Oryza sativa L.) plant, which in turn will enhance rice yield. Information obtained to date suggest that, numerous QTLs, e.g., Gn1a, Dep1, associated with grain number and yield-related traits, have been identified either via mapping or cloning approaches. These QTLs have been successfully introduced into rice plants using various schemes of MAS for grain yield enhancement in rice. However, sometimes, MAS does not perform well in breeding, which might be due to lack of resources, skilled labors, reliable markers, and high costs associated with MAS. Thus, by overcoming these problems, we can enhance the application of MAS in plant breeding, which, in turn, may help us in increasing yield, which subsequently may help in bridging the gap between demand and supply of food for the continuously growing population.
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Affiliation(s)
- Gayatri Gouda
- ICAR-National Rice Research Institute, Cuttack, Odisha 753 006 India
| | - Manoj Kumar Gupta
- Department of Biotechnology and Bioinformatics, Yogi Vemana University, Kadapa, Andhra Pradesh 516 005 India
| | - Ravindra Donde
- ICAR-National Rice Research Institute, Cuttack, Odisha 753 006 India
| | - Trilochan Mohapatra
- Secretary (DARE) and Director General (ICAR), Government of India, New Delhi, India
| | - Ramakrishna Vadde
- Department of Biotechnology and Bioinformatics, Yogi Vemana University, Kadapa, Andhra Pradesh 516 005 India
| | - Lambodar Behera
- ICAR-National Rice Research Institute, Cuttack, Odisha 753 006 India
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Wu S, Qiu J, Gao Q. QTL-BSA: A Bulked Segregant Analysis and Visualization Pipeline for QTL-seq. Interdiscip Sci 2019; 11:730-737. [PMID: 31388943 DOI: 10.1007/s12539-019-00344-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 07/16/2019] [Accepted: 07/24/2019] [Indexed: 10/26/2022]
Abstract
In recent years, the application of Whole Genome Sequencing (WGS) on plants has generated sufficient data for the identification of trait-associated genomic loci or genes. A high-throughput genome-assisted QTL-seq strategy, combined with bulked-segregant analysis and WGS of two bulked populations from a segregating progeny with opposite phenotypic trait values, has gained increasing popularities in research community. However, there is no publicly available user friendly software for the identification and visualization. Hence, we developed a tool named QTL-BSA (QTL-bulked segregant analysis and visualization pipeline), which could facilitate the rapid identification and visualization of candidate QTLs from QTL-seq. As a proof-of-concept study, we have applied the tool for the rapid discovery and the identification of genes related with the partial blast resistance in rice. Genomic region of the major QTL identified on chromosome 6, is located between 1.52 and 4.32 Mb, which is consistent with previous studies (2.39-4.39 Mb). We also derived the gene and QTLs functional annotation of this region. QTL-BSA offers a comprehensive solution to facilitate a wide range of programming and visualization tasks in QTL-seq analysis, is expected to be used widely by the research community.
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Affiliation(s)
- Sanling Wu
- Analysis Center of Agrobiology and Environmental Sciences, Faculty of Agriculture, Life and Environment Sciences, Zhejiang University, Hangzhou, China.
| | - Jie Qiu
- Department of Agronomy and James D Watson Institute of Genome Science, Zhejiang University, Hangzhou, China
| | - Qikang Gao
- Analysis Center of Agrobiology and Environmental Sciences, Faculty of Agriculture, Life and Environment Sciences, Zhejiang University, Hangzhou, China
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Kumar K, Neelam K, Singh G, Mathan J, Ranjan A, Brar DS, Singh K. Production and cytological characterization of a synthetic amphiploid derived from a cross between Oryza sativa and Oryza punctata. Genome 2019; 62:705-714. [PMID: 31330117 DOI: 10.1139/gen-2019-0062] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Oryza punctata Kotschy ex Steud. (BB, 2n = 24) is a wild species of rice that has many useful agronomic traits. An interspecific hybrid (AB, 2n = 24) was produced by crossing O. punctata and Oryza sativa variety Punjab Rice 122 (PR122, AA, 2n = 24) to broaden the narrow genetic base of cultivated rice. Cytological analysis of the pollen mother cells (PMCs) of the interspecific hybrids confirmed that they have 24 chromosomes. The F1 hybrids showed the presence of 19-20 univalents and 1-3 bivalents. The interspecific hybrid was treated with colchicine to produce a synthetic amphiploid (AABB, 2n = 48). Pollen fertility of the synthetic amphiploid was found to be greater than 50% and partial seed set was observed. Chromosome numbers in the PMCs of the synthetic amphiploid were 24II, showing normal pairing. Flow cytometric analysis also confirmed doubled genomic content in the synthetic amphiploid. Leaf morphological and anatomical studies of the synthetic amphiploid showed higher chlorophyll content and enlarged bundle sheath cells as compared with both of its parents. The synthetic amphiploid was backcrossed with PR122 to develop a series of addition and substitution lines for the transfer of useful genes from O. punctata with least linkage drag.
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Affiliation(s)
- Kishor Kumar
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.,Faculty Centre on Integrated Rural Development and Management, Ramakrishna Mission Vivekanada Educational and Research Institute, Narendrapur, Kolkata, 700103, India
| | - Kumari Neelam
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India
| | - Gurpreet Singh
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India
| | - Jyotirmaya Mathan
- National Institute of Plant Genome Research, New Delhi, 110067, India
| | - Aashish Ranjan
- National Institute of Plant Genome Research, New Delhi, 110067, India
| | - Darshan Singh Brar
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India
| | - Kuldeep Singh
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.,ICAR-National Bureau of Plant Genetic Resources, PUSA, New Delhi, 110012, India
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Li F, Xie J, Zhu X, Wang X, Zhao Y, Ma X, Zhang Z, Rashid MAR, Zhang Z, Zhi L, Zhang S, Li J, Li Z, Zhang H. Genetic Basis Underlying Correlations Among Growth Duration and Yield Traits Revealed by GWAS in Rice ( Oryza sativa L.). FRONTIERS IN PLANT SCIENCE 2018; 9:650. [PMID: 29872443 PMCID: PMC5972282 DOI: 10.3389/fpls.2018.00650] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 04/27/2018] [Indexed: 05/21/2023]
Abstract
Avoidance of disadvantageous genetic correlations among growth duration and yield traits is critical in developing crop varieties that efficiently use light and energy resources and produce high yields. To understand the genetic basis underlying the correlations among heading date and three major yield traits in rice, we investigated the four traits in a diverse and representative core collection of 266 cultivated rice accessions in both long-day and short-day environments, and conducted the genome-wide association study using 4.6 million single nucleotide polymorphisms (SNPs). There were clear positive correlation between heading date and grain number per panicle, and negative correlation between grain number per panicle and panicle number, as well as different degrees of correlations among other traits in different subspecies and environments. We detected 47 pleiotropic genes in 15 pleiotropic quantitative trait loci (pQTLs), 18 pleiotropic genes containing 37 pleiotropic SNPs in 8 pQTLs, 27 pQTLs with r2 of linkage disequilibrium higher than 0.2, and 39 pairs of interactive genes from 8 metabolic pathways that may contribute to the above phenotypic correlations, but these genetic bases were different for correlations among different traits. Distributions of haplotypes revealed that selection for pleiotropic genes or interactive genes controlling different traits focused on genotypes with weak effect or on those balancing two traits that maximized production but sometimes their utilization strategies depend on the traits and environment. Detection of pQTLs and interactive genes and associated molecular markers will provide an ability to overcome disadvantageous correlations and to utilize the advantageous correlations among traits through marker-assisted selection in breeding.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Hongliang Zhang
- Key Lab of Crop Heterosis and Utilization of Ministry of Education and Beijing Key Lab of Crop Genetic Improvement, China Agricultural University, Beijing, China
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Liu WT, Yang CC, Chen RK, Jwo WS, Wu CW, Ting WY, Shung DP, Liu CC, Chen JJW. RiceATM: a platform for identifying the association between rice agronomic traits and miRNA expression. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2016; 2016:baw151. [PMID: 28025342 PMCID: PMC5199133 DOI: 10.1093/database/baw151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2016] [Revised: 10/21/2016] [Accepted: 10/24/2016] [Indexed: 11/12/2022]
Abstract
MicroRNAs (miRNAs) are known to play critical roles in plant development and stress-response regulation, and they frequently display multi-targeting characteristics. The control of defined rice phenotypes occurs through multiple genes; however, evidence demonstrating the relationship between agronomic traits and miRNA expression profiles is lacking. In this study, we investigated eight yield-related traits in 187 local rice cultivars and profiled the expression levels of 193 miRNAs in these cultivars using microarray analyses. By integrating the miRBase database, the rice annotation project database, and the miRanda and psRNATarget web servers, we constructed a database (RiceATM) that can be employed to investigate the association between rice agronomic traits and miRNA expression. The functions of this platform include phenotype selection, sample grouping, microarray data pretreatment, statistical analysis and target gene predictions. To demonstrate the utility of RiceATM, we used the database to identify four miRNAs associated with the heading date and validated their expression trends in the cultivars with early or late heading date by real-time PCR. RiceATM is a useful tool for researchers seeking to characterize the role of certain miRNAs for a specific phenotype and discover potential biomarkers for breeding or functional studies. Database URL: http://syslab3.nchu.edu.tw/rice/
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Affiliation(s)
| | - Chia-Chun Yang
- Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan
| | - Rong-Kuen Chen
- Chiayi Branch Station, Tainan District Agricultural Research and Extension Station, Council of Agriculture, Chiayi, Taiwan
| | | | - Chih-Wen Wu
- Kaohsiung District Agricultural Research and Extension Station, Council of Agriculture, Kaohsiung, Taiwan
| | - Wen-Yen Ting
- Taitung District Agricultural Research and Extension Station, Council of Agriculture, Taitung, Taiwan
| | - Dah-Pyng Shung
- Hualien District Agricultural Research and Extention Station, Council of Agriculture, Hualien, Taiwan
| | - Chun-Chi Liu
- Institute of Biomedical Sciences .,Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung, Taiwan
| | - Jeremy J W Chen
- Institute of Biomedical Sciences .,Institute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan.,Agricultural Biotechnology Center, National Chung Hsing University, Taichung, Taiwan and.,Rong Hsing Research Center for Translational Medicine, National Chung Hsing University, Taichung, Taiwan
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12
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Fabre D, Adriani DE, Dingkuhn M, Ishimaru T, Punzalan B, Lafarge T, Clément-Vidal A, Luquet D. The qTSN4 Effect on Flag Leaf Size, Photosynthesis and Panicle Size, Benefits to Plant Grain Production in Rice, Depending on Light Availability. FRONTIERS IN PLANT SCIENCE 2016; 7:623. [PMID: 27242827 PMCID: PMC4861770 DOI: 10.3389/fpls.2016.00623] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 04/22/2016] [Indexed: 05/20/2023]
Abstract
Increasing rice yield potential is essential to secure world food supply. The quantitative trait locus qTSN4 was reported to achieve yield increases by enhancing both source and sink capacity. Three greenhouse experiments and one field experiment in the Philippines were conducted to study near-isogenic lines (NILs) in two genetic backgrounds, subjected to treatments with restricted light resources through shading (greenhouse) or population density (field and greenhouse). A consistent promotion of flag leaf width, leaf area and panicle size in terms of spikelet number was observed in the presence of qTSN4, regardless of environment. However, grain production per plant was enhanced only in one greenhouse experiment. An in-depth study demonstrated that increased flag leaf size in the presence of qTSN4 was associated with increased photosynthetic rates, along with lower SLA and greater N content per leaf weight and per area. This was emphasized under low light situation as the qTSN4-NILs did not express shade acclimation traits in contrast with the recipient varieties. The authors conclude that qTSN4 is a promising subject for further physiological studies, particularly under limited radiation. However, the QTL alone may not be a reliable source of increased yield potential because its effects at the plant and population scale are prone to genotype × environment interactions and the increased panicle size is compensated by the adaptive plasticity of other morphological traits.
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Affiliation(s)
- Denis Fabre
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR AGAPMontpellier, France
| | - Dewi E. Adriani
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR AGAPMontpellier, France
| | - Michael Dingkuhn
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR AGAPMontpellier, France
- Crop and Environment Science Division, International Rice Research InstituteLos Baños, Philippines
| | - Tsutomu Ishimaru
- Plant Breeding Genetics and Biotechnology, International Rice Research InstituteLos Baños, Philippines
| | - Bermenito Punzalan
- Crop and Environment Science Division, International Rice Research InstituteLos Baños, Philippines
| | - Tanguy Lafarge
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR AGAPMontpellier, France
| | - Anne Clément-Vidal
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR AGAPMontpellier, France
| | - Delphine Luquet
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR AGAPMontpellier, France
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13
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Daware A, Das S, Srivastava R, Badoni S, Singh AK, Agarwal P, Parida SK, Tyagi AK. An Efficient Strategy Combining SSR Markers- and Advanced QTL-seq-driven QTL Mapping Unravels Candidate Genes Regulating Grain Weight in Rice. FRONTIERS IN PLANT SCIENCE 2016; 7:1535. [PMID: 27833617 PMCID: PMC5080349 DOI: 10.3389/fpls.2016.01535] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 09/29/2016] [Indexed: 05/05/2023]
Abstract
Development and use of genome-wide informative simple sequence repeat (SSR) markers and novel integrated genomic strategies are vital to drive genomics-assisted breeding applications and for efficient dissection of quantitative trait loci (QTLs) underlying complex traits in rice. The present study developed 6244 genome-wide informative SSR markers exhibiting in silico fragment length polymorphism based on repeat-unit variations among genomic sequences of 11 indica, japonica, aus, and wild rice accessions. These markers were mapped on diverse coding and non-coding sequence components of known cloned/candidate genes annotated from 12 chromosomes and revealed a much higher amplification (97%) and polymorphic potential (88%) along with wider genetic/functional diversity level (16-74% with a mean 53%) especially among accessions belonging to indica cultivar group, suggesting their utility in large-scale genomics-assisted breeding applications in rice. A high-density 3791 SSR markers-anchored genetic linkage map (IR 64 × Sonasal) spanning 2060 cM total map-length with an average inter-marker distance of 0.54 cM was generated. This reference genetic map identified six major genomic regions harboring robust QTLs (31% combined phenotypic variation explained with a 5.7-8.7 LOD) governing grain weight on six rice chromosomes. One strong grain weight major QTL region (OsqGW5.1) was narrowed-down by integrating traditional QTL mapping with high-resolution QTL region-specific integrated SSR and single nucleotide polymorphism markers-based QTL-seq analysis and differential expression profiling. This led us to delineate two natural allelic variants in two known cis-regulatory elements (RAV1AAT and CARGCW8GAT) of glycosyl hydrolase and serine carboxypeptidase genes exhibiting pronounced seed-specific differential regulation in low (Sonasal) and high (IR 64) grain weight mapping parental accessions. Our genome-wide SSR marker resource (polymorphic within/between diverse cultivar groups) and integrated genomic strategy can efficiently scan functionally relevant potential molecular tags (markers, candidate genes and alleles) regulating complex agronomic traits (grain weight) and expedite marker-assisted genetic enhancement in rice.
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Affiliation(s)
- Anurag Daware
- National Institute of Plant Genome Research (NIPGR)New Delhi, India
| | - Sweta Das
- National Institute of Plant Genome Research (NIPGR)New Delhi, India
| | - Rishi Srivastava
- National Institute of Plant Genome Research (NIPGR)New Delhi, India
| | - Saurabh Badoni
- National Institute of Plant Genome Research (NIPGR)New Delhi, India
| | - Ashok K. Singh
- Rice Section, Division of Genetics, Indian Agricultural Research Institute (IARI)New Delhi, India
| | - Pinky Agarwal
- National Institute of Plant Genome Research (NIPGR)New Delhi, India
| | - Swarup K. Parida
- National Institute of Plant Genome Research (NIPGR)New Delhi, India
- *Correspondence: Akhilesh K. Tyagi, Swarup K. Parida, ;
| | - Akhilesh K. Tyagi
- National Institute of Plant Genome Research (NIPGR)New Delhi, India
- *Correspondence: Akhilesh K. Tyagi, Swarup K. Parida, ;
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Zhang F, Tang J, Zhou Y, Luo X, Xie J. Characterization and fine mapping of NGP4c(t), a novel gene controlling the number of grains per panicle in rice. J Genet 2015; 94:513-7. [PMID: 26440094 DOI: 10.1007/s12041-015-0553-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Fantao Zhang
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, People's Republic of China.
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15
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Kim DM, Lee HS, Kwon SJ, Fabreag ME, Kang JW, Yun YT, Chung CT, Ahn SN. High-density mapping of quantitative trait loci for grain-weight and spikelet number in rice. RICE (NEW YORK, N.Y.) 2014; 7:14. [PMID: 26055996 PMCID: PMC4884038 DOI: 10.1186/s12284-014-0014-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2014] [Accepted: 07/14/2014] [Indexed: 05/14/2023]
Abstract
BACKGROUND High grain yield is one of the most important traits requiring improvement in rice breeding programs. Consequently, the genetic basis of spikelets per panicle (SPP) and grain weight (TGW) have received much research focus because of their importance in rice yield. RESULTS In this study, IL28, which is a near isogenic line (NIL) developed by introgressing chromosomal segments of the cultivar 'Moroberekan' into the cultivar 'Ilpumbyeo', showed a significant increase in the number of spikelets per panicle (SPP) and 1,000-grain weight (TGW) compared to the recurrent parent, Ilpumbyeo. Quantitative trait locus (QTL) analysis in 243 F2 plants derived from a cross between IL28 and Ilpumbyeo indicated that both qSPP6 and qTGW6 are located in the interval RM3430-RM20580. Following substitution mapping with 50 F3:4:5 lines, qSPP6 was mapped to a 429-kb interval between RM20521 and InDel-1, while qTGW6 was mapped to a 37.85-kb interval between InDel-1 and SNP--3 based on the japonica genome sequence. This result indicates that qSPP6 and qTGW6 are different genes. Yield trials with substitution lines indicated that lines harboring the homozygous Moroberekan segment at both the qSPP6 and qTGW6 region showed significantly higher grain yield than Ilpumbyeo. CONCLUSION Because the Moroberekan alleles for SPP and TGW have been shown to be beneficial in the genetic background of Ilpumbyeo, both the qSPP6 and qTGW6 alleles might prove valuable in improving rice yields. Closely linked SSR markers are expected to facilitate the cloning of genes that underlie these QTLs, as well as with marker-assisted selection for variation in SPP and TGW in rice breeding programs.
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Affiliation(s)
- Dong-Min Kim
- />Department of Agronomy, College of Agriculture & Life Sciences, Chungnam National University, Daejeon, 305-764 South Korea
- />Present address: Department of Variety Testing, Korea Seed & Variety Service, Ministry of Agriculture, Food and Rural Affairs, Kimcheon, 740-220 South Korea
| | - Hyun-Sook Lee
- />Department of Agronomy, College of Agriculture & Life Sciences, Chungnam National University, Daejeon, 305-764 South Korea
| | - Soo-Jin Kwon
- />National Academy of Agricultural Science, Rural Development Administration, Suweon, 441-707 South Korea
| | - Mark Edward Fabreag
- />Department of Agronomy, College of Agriculture & Life Sciences, Chungnam National University, Daejeon, 305-764 South Korea
| | - Ju-Won Kang
- />Department of Agronomy, College of Agriculture & Life Sciences, Chungnam National University, Daejeon, 305-764 South Korea
| | - Yeo-Tae Yun
- />Chungnam Agricultural Research and Extension Services, Yesan, 340-861 South Korea
| | - Chong-Tae Chung
- />Chungnam Agricultural Research and Extension Services, Yesan, 340-861 South Korea
| | - Sang-Nag Ahn
- />Department of Agronomy, College of Agriculture & Life Sciences, Chungnam National University, Daejeon, 305-764 South Korea
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