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Yang S, Zhou J, Li Y, Wu J, Ma C, Chen Y, Sun X, Wu L, Liang X, Fu Q, Xu Z, Li L, Huang Z, Zhu J, Jia X, Ye X, Chen R. AP2/EREBP Pathway Plays an Important Role in Chaling Wild Rice Tolerance to Cold Stress. Int J Mol Sci 2023; 24:14441. [PMID: 37833888 PMCID: PMC10572191 DOI: 10.3390/ijms241914441] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 09/20/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
Cold stress is the main factor limiting rice production and distribution. Chaling wild rice can survive in cold winters. AP2/EREBP is a known transcription factor family associated with abiotic stress. We identified the members of the AP2/EREBP transcription factor family in rice, maize, and Arabidopsis, and conducted collinearity analysis and gene family analysis. We used Affymetrix array technology to analyze the expression of AP2/EREBP family genes in Chaling wild rice and cultivated rice cultivar Pei'ai64S, which is sensitive to cold. According to the GeneChip results, the expression levels of AP2/EREBP genes in Chaling wild rice were different from those in Pei'ai64S; and the increase rate of 36 AP2/EREBP genes in Chaling wild rice was higher than that in Pei'ai64S. Meanwhile, the MYC elements in cultivated rice and Chaling wild rice for the Os01g49830, Os03g08470, and Os03g64260 genes had different promoter sequences, resulting in the high expression of these genes in Chaling wild rice under low-temperature conditions. Furthermore, we analyzed the upstream and downstream genes of the AP2/EREBP transcription factor family and studied the conservation of these genes. We found that the upstream transcription factors were more conserved, indicating that these upstream transcription factors may be more important in regulating cold stress. Meanwhile, we found the expression of AP2/EREBP pathway genes was significantly increased in recombinant inbred lines from Nipponbare crossing with Chaling wild rice, These results suggest that the AP2/EREBP signaling pathway plays an important role in Chaling wild rice tolerance to cold stress.
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Affiliation(s)
- Songjin Yang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Jingming Zhou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Yaqi Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Jiacheng Wu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Chuan Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Yulin Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Xingzhuo Sun
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Lingli Wu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Xin Liang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Qiuping Fu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Zhengjun Xu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Lihua Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Zhengjian Huang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
| | - Jianqing Zhu
- Demonstration Base for International Science & Technology Cooperation of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.Z.); (X.J.); (X.Y.)
| | - Xiaomei Jia
- Demonstration Base for International Science & Technology Cooperation of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.Z.); (X.J.); (X.Y.)
| | - Xiaoying Ye
- Demonstration Base for International Science & Technology Cooperation of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.Z.); (X.J.); (X.Y.)
| | - Rongjun Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China; (S.Y.); (J.Z.); (Y.L.); (J.W.); (C.M.); (Y.C.); (X.S.); (L.W.); (X.L.); (Q.F.); (Z.X.); (L.L.); (Z.H.)
- Demonstration Base for International Science & Technology Cooperation of Sichuan Province, Sichuan Agricultural University, Chengdu 611130, China; (J.Z.); (X.J.); (X.Y.)
- Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute of Sichuan Agricultural University, Chengdu 611130, China
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Yadavalli VR, Balakrishnan D, Surapaneni M, Addanki K, Mesapogu S, Beerelli K, Desiraju S, Voleti SR, Neelamraju S. Mapping QTLs for yield and photosynthesis-related traits in three consecutive backcross populations of Oryza sativa cultivar Cottondora Sannalu (MTU1010) and Oryza rufipogon. PLANTA 2022; 256:71. [PMID: 36070104 DOI: 10.1007/s00425-022-03983-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
Identification of trait enhancing QTLs for yield and photosynthesis-related traits in rice using interspecific mapping population and chromosome segment substitution lines derived from a cross between Oryza sativa and Oryza rufipogon. Wild rice contains novel genes which can help in improving rice yield. Common wild rice Oryza rufipogon is a known source for enhanced photosynthesis and yield-related traits. We developed BC2F2:3:4 mapping populations using O. rufipogon IC309814 with high photosynthetic rate as donor, and elite cultivar MTU1010 as recurrent parent. Evaluation of 238 BC2F2 families for 13 yield-related traits and 208 BC2F2 families for seven photosynthesis-related physiological traits resulted in identification of significantly different lines which performed better than MTU1010 for various yield contributing traits. 49 QTLs were identified for 13 yield traits and 7 QTLs for photosynthesis-related traits in BC2F2. In addition, 34 QTLs in BC2F3 and 26 QTLs in BC2F4 were also detected for yield traits.11 common QTLs were identified in three consecutive generations and their trait-increasing alleles were derived from O. rufipogon. Significantly, one major effect common QTL qTGW3.1 for thousand grain weight with average phenotypic variance 8.1% and one novel QTL qBM7.1 for biomass were identified. Photosynthesis-related QTLs qPN9.1, qPN12.1, qPN12.2 qSPAD1.1 and qSPAD6.1 showed additive effect from O. rufipogon. A set of 145 CSSLs were identified in BC2F2 which together represented 87% of O. rufipogon genome. In addition, 87 of the 145 CSSLs were significantly different than MTU1010 for at least one trait. The major effect QTLs can be fine mapped for gene discovery. CSSLs developed in this study are a good source of novel alleles from O. rufipogon in the background of Cottondora Sannalu for rapid improvement of any trait in rice.
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Affiliation(s)
- Venkateswara Rao Yadavalli
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Divya Balakrishnan
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
- Department of Plant Breeding and Genetics, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Malathi Surapaneni
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Krishnamraju Addanki
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Sukumar Mesapogu
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Kavitha Beerelli
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Subrahmanyam Desiraju
- Department of Plant Physiology, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Sitapati Rao Voleti
- Department of Plant Physiology, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India
| | - Sarla Neelamraju
- ICAR National Professor Project, ICAR-Indian Institute of Rice Research, Hyderabad, 500030, Telangana, India.
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Thummala SR, Guttikonda H, Tiwari S, Ramanan R, Baisakh N, Neelamraju S, Mangrauthia SK. Whole-Genome Sequencing of KMR3 and Oryza rufipogon-Derived Introgression Line IL50-13 (Chinsurah Nona 2/Gosaba 6) Identifies Candidate Genes for High Yield and Salinity Tolerance in Rice. FRONTIERS IN PLANT SCIENCE 2022; 13:810373. [PMID: 35712577 PMCID: PMC9197125 DOI: 10.3389/fpls.2022.810373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Accepted: 04/04/2022] [Indexed: 06/15/2023]
Abstract
The genomes of an elite rice restorer line KMR3 (salinity-sensitive) and its salinity-tolerant introgression line IL50-13, a popular variety of coastal West Bengal, India, were sequenced. High-quality paired-end reads were obtained for KMR3 (147.6 million) and IL50-13 (131.4 million) with a sequencing coverage of 30X-39X. Scaffolds generated from the pre-assembled contigs of each sequenced genome were mapped separately onto the reference genome of Oryza sativa ssp. japonica cultivar Nipponbare to identify genomic variants in terms of SNPs and InDels. The SNPs and InDels identified for KMR3 and IL50-13 were then compared with each other to identify polymorphic SNPs and InDels unique and common to both the genomes. Functional enrichment analysis of the protein-coding genes with unique InDels identified GO terms involved in protein modification, ubiquitination, deubiquitination, peroxidase activity, and antioxidant activity in IL50-13. Linoleic acid metabolism, circadian rhythm, and alpha-linolenic acid metabolism pathways were enriched in IL50-13. These GO terms and pathways are involved in reducing oxidative damage, thus suggesting their role in stress responses. Sequence analysis of QTL markers or genes known to be associated with grain yield and salinity tolerance showed polymorphism in 20 genes, out of which nine were not previously reported. These candidate genes encoded Nucleotide-binding adaptor shared by APAF-1, R proteins, and CED-4 (NB-ARC) domain-containing protein, cyclase, receptor-like kinase, topoisomerase II-associated protein PAT1 domain-containing protein, ion channel regulatory protein, UNC-93 domain-containing protein, subunit A of the heteromeric ATP-citrate lyase, and three conserved hypothetical genes. Polymorphism was observed in the coding, intron, and untranslated regions of the genes on chromosomes 1, 2, 4, 7, 11, and 12. Genes showing polymorphism between the two genomes were considered as sequence-based new candidates derived from Oryza rufipogon for conferring high yield and salinity tolerance in IL50-13 for further functional studies.
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Affiliation(s)
| | | | - Shrish Tiwari
- CSIR-Centre for Cellular and Molecular Biology (CCMB), Hyderabad, India
| | | | - Niranjan Baisakh
- School of Plant, Environmental and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA, United States
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Razzaq A, Kaur P, Akhter N, Wani SH, Saleem F. Next-Generation Breeding Strategies for Climate-Ready Crops. FRONTIERS IN PLANT SCIENCE 2021; 12:620420. [PMID: 34367194 PMCID: PMC8336580 DOI: 10.3389/fpls.2021.620420] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 06/14/2021] [Indexed: 05/17/2023]
Abstract
Climate change is a threat to global food security due to the reduction of crop productivity around the globe. Food security is a matter of concern for stakeholders and policymakers as the global population is predicted to bypass 10 billion in the coming years. Crop improvement via modern breeding techniques along with efficient agronomic practices innovations in microbiome applications, and exploiting the natural variations in underutilized crops is an excellent way forward to fulfill future food requirements. In this review, we describe the next-generation breeding tools that can be used to increase crop production by developing climate-resilient superior genotypes to cope with the future challenges of global food security. Recent innovations in genomic-assisted breeding (GAB) strategies allow the construction of highly annotated crop pan-genomes to give a snapshot of the full landscape of genetic diversity (GD) and recapture the lost gene repertoire of a species. Pan-genomes provide new platforms to exploit these unique genes or genetic variation for optimizing breeding programs. The advent of next-generation clustered regularly interspaced short palindromic repeat/CRISPR-associated (CRISPR/Cas) systems, such as prime editing, base editing, and de nova domestication, has institutionalized the idea that genome editing is revamped for crop improvement. Also, the availability of versatile Cas orthologs, including Cas9, Cas12, Cas13, and Cas14, improved the editing efficiency. Now, the CRISPR/Cas systems have numerous applications in crop research and successfully edit the major crop to develop resistance against abiotic and biotic stress. By adopting high-throughput phenotyping approaches and big data analytics tools like artificial intelligence (AI) and machine learning (ML), agriculture is heading toward automation or digitalization. The integration of speed breeding with genomic and phenomic tools can allow rapid gene identifications and ultimately accelerate crop improvement programs. In addition, the integration of next-generation multidisciplinary breeding platforms can open exciting avenues to develop climate-ready crops toward global food security.
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Affiliation(s)
- Ali Razzaq
- Centre of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture, Faisalabad, Pakistan
| | - Parwinder Kaur
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, WA, Australia
| | - Naheed Akhter
- College of Allied Health Professional, Faculty of Medical Sciences, Government College University Faisalabad, Faisalabad, Pakistan
| | - Shabir Hussain Wani
- Mountain Research Center for Field Crops, Khudwani, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India
| | - Fozia Saleem
- Centre of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture, Faisalabad, Pakistan
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The Potential of Payment for Ecosystem Services for Crop Wild Relative Conservation. PLANTS 2020; 9:plants9101305. [PMID: 33023207 PMCID: PMC7601374 DOI: 10.3390/plants9101305] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 09/24/2020] [Accepted: 09/25/2020] [Indexed: 11/28/2022]
Abstract
Crop wild relatives (CWR) have proven to be very valuable in agricultural breeding programs but remain a relatively under-utilized and under-protected resource. CWR have provided resistance to pests and diseases, abiotic stress tolerance, quality improvements and yield increases with the annual contribution of these traits to agriculture estimated at USD 115 billion globally and are considered to possess many valuable traits that have not yet been explored. The use of the genetic diversity found in CWR for breeding provides much-needed resilience to modern agricultural systems and has great potential to help sustainably increase agricultural production to feed a growing world population in the face of climate change and other stresses. A number of CWR taxa are at risk, however, necessitating coordinated local, national, regional and global efforts to preserve the genetic diversity of these plants through complementary in situ and ex situ conservation efforts. We discuss the absence of adequate institutional frameworks to incentivize CWR conservation services and propose payment for ecosystem services (PES) as an under-explored mechanism for financing these efforts. Such mechanisms could serve as a potentially powerful tool for enhancing the long-term protection of CWR.
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Genome-wide transcriptome profile of rice hybrids with and without Oryza rufipogon introgression reveals candidate genes for yield. Sci Rep 2020; 10:4873. [PMID: 32184449 PMCID: PMC7078188 DOI: 10.1038/s41598-020-60922-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Accepted: 02/10/2020] [Indexed: 01/22/2023] Open
Abstract
In this study, we compared genome-wide transcriptome profile of two rice hybrids, one with (test hybrid IR79156A/IL50-13) and the other without (control hybrid IR79156A/KMR3) O. rufipogon introgressions to identify candidate genes related to grain yield in the test hybrid. IL50-13 (Chinsurah Nona2 IET21943) the male parent (restorer) used in the test hybrid, is an elite BC4F8 introgression line of KMR3 with O. rufipogon introgressions. We identified 2798 differentially expressed genes (DEGs) in flag leaf and 3706 DEGs in panicle. Overall, 78 DEGs were within the major yield QTL qyld2.1 and 25 within minor QTL qyld8.2. The DEGs were significantly (p < 0.05) enriched in starch synthesis, phenyl propanoid pathway, ubiquitin degradation and phytohormone related pathways in test hybrid compared to control hybrid. Sequence analysis of 136 DEGs from KMR3 and IL50-13 revealed 19 DEGs with SNP/InDel variations. Of the 19 DEGs only 6 showed both SNP and InDel variations in exon regions. Of these, two DEGs within qyld2.1, Phenylalanine ammonia- lyase (PAL) (Os02t0626400-01, OsPAL2) showed 184 SNPs and 11 InDel variations and Similar to phenylalanine ammonia- lyase (Os02t0627100-01, OsPAL4) showed 205 SNPs and 13 InDel variations. Both PAL genes within qyld2.1 and derived from O. rufipogon are high priority candidate genes for increasing grain yield in rice.
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Tao Y, Zhao X, Mace E, Henry R, Jordan D. Exploring and Exploiting Pan-genomics for Crop Improvement. MOLECULAR PLANT 2019; 12:156-169. [PMID: 30594655 DOI: 10.1016/j.molp.2018.12.016] [Citation(s) in RCA: 116] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Revised: 12/18/2018] [Accepted: 12/19/2018] [Indexed: 05/19/2023]
Abstract
Genetic variation ranging from single-nucleotide polymorphisms to large structural variants (SVs) can cause variation of gene content among individuals within the same species. There is an increasing appreciation that a single reference genome is insufficient to capture the full landscape of genetic diversity of a species. Pan-genome analysis offers a platform to evaluate the genetic diversity of a species via investigation of its entire genome repertoire. Although a recent wave of pan-genomic studies has shed new light on crop diversity and improvement using advanced sequencing technology, the potential applications of crop pan-genomics in crop improvement are yet to be fully exploited. In this review, we highlight the progress achieved in understanding crop pan-genomics, discuss biological activities that cause SVs, review important agronomical traits affected by SVs, and present our perspective on the application of pan-genomics in crop improvement.
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Affiliation(s)
- Yongfu Tao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD 4370, Australia
| | - Xianrong Zhao
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD 4370, Australia
| | - Emma Mace
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD 4370, Australia; Agri-Science Queensland, Department of Agriculture and Fisheries (DAF), Hermitage Research Facility, Warwick, QLD 4370, Australia
| | - Robert Henry
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Brisbane, QLD 4072, Australia
| | - David Jordan
- Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Hermitage Research Facility, Warwick, QLD 4370, Australia.
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Qin G, Nguyen HM, Luu SN, Wang Y, Zhang Z. Construction of introgression lines of Oryza rufipogon and evaluation of important agronomic traits. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:543-553. [PMID: 30465064 DOI: 10.1007/s00122-018-3241-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Accepted: 11/13/2018] [Indexed: 06/09/2023]
Abstract
Cultivated rice (Oryza sativa) originated from common wild rice (Oryza rufipogon) and inherited its advantages. However, during the rice domestication process, some valuable features of wild rice, such as tolerance to biotic and abiotic stress, were lost. To fully utilize wild rice germplasm resources, we constructed a set of introgression lines (ILs) using a common wild rice material from Lingshui, China. A set of high-resolution InDel molecular markers with an average interval of 2.39 Mb were designed to carry out marker-assisted selection and identification of segment characteristics. The ILs contained 77 lines including 1.286 introgressed fragments with an average length of 6.511 Mb, covering 93.59% of the donor parent's chromosomes. The agricultural traits of 77 lines were investigated. Many old quantitative trait loci (QTLs) involved in plant height, awn length, seed traits and other characteristics reappeared in our ILs, proving that our system was reliable. Further, many new QTLs were identified. A QTL related to drought tolerance located on chromosome 4 was thoroughly elaborated. This set of ILs provides a new resource for utilizing the excellent features of wild rice.
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Affiliation(s)
- Guannan Qin
- Biotechnology Research Institute/National Key Facility for Genetic Resources and Gene Improvement, The Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hung Manh Nguyen
- Biotechnology Research Institute/National Key Facility for Genetic Resources and Gene Improvement, The Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Sinh Ngoc Luu
- Biotechnology Research Institute/National Key Facility for Genetic Resources and Gene Improvement, The Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yanwei Wang
- Biotechnology Research Institute/National Key Facility for Genetic Resources and Gene Improvement, The Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhiguo Zhang
- Biotechnology Research Institute/National Key Facility for Genetic Resources and Gene Improvement, The Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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Brozynska M, Furtado A, Henry RJ. Genomics of crop wild relatives: expanding the gene pool for crop improvement. PLANT BIOTECHNOLOGY JOURNAL 2016; 14:1070-85. [PMID: 26311018 DOI: 10.1111/pbi.12454] [Citation(s) in RCA: 177] [Impact Index Per Article: 22.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Revised: 06/26/2015] [Accepted: 07/16/2015] [Indexed: 05/20/2023]
Abstract
Plant breeders require access to new genetic diversity to satisfy the demands of a growing human population for more food that can be produced in a variable or changing climate and to deliver the high-quality food with nutritional and health benefits demanded by consumers. The close relatives of domesticated plants, crop wild relatives (CWRs), represent a practical gene pool for use by plant breeders. Genomics of CWR generates data that support the use of CWR to expand the genetic diversity of crop plants. Advances in DNA sequencing technology are enabling the efficient sequencing of CWR and their increased use in crop improvement. As the sequencing of genomes of major crop species is completed, attention has shifted to analysis of the wider gene pool of major crops including CWR. A combination of de novo sequencing and resequencing is required to efficiently explore useful genetic variation in CWR. Analysis of the nuclear genome, transcriptome and maternal (chloroplast and mitochondrial) genome of CWR is facilitating their use in crop improvement. Genome analysis results in discovery of useful alleles in CWR and identification of regions of the genome in which diversity has been lost in domestication bottlenecks. Targeting of high priority CWR for sequencing will maximize the contribution of genome sequencing of CWR. Coordination of global efforts to apply genomics has the potential to accelerate access to and conservation of the biodiversity essential to the sustainability of agriculture and food production.
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Affiliation(s)
- Marta Brozynska
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Qld, Australia
| | - Agnelo Furtado
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Qld, Australia
| | - Robert J Henry
- Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, Qld, Australia
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Mao D, Yu L, Chen D, Li L, Zhu Y, Xiao Y, Zhang D, Chen C. Multiple cold resistance loci confer the high cold tolerance adaptation of Dongxiang wild rice (Oryza rufipogon) to its high-latitude habitat. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2015; 128:1359-71. [PMID: 25862679 DOI: 10.1007/s00122-015-2511-3] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 03/27/2015] [Indexed: 05/17/2023]
Abstract
Dongxiang wild rice is phylogenetically close to temperate japonica and contains multiple cold resistance loci conferring its adaptation to high-latitude habitat. Understanding the nature of adaptation in wild populations will benefit crop breeding in the development of climate-resilient crop varieties. Dongxiang wild rice (DXWR), the northernmost common wild rice known, possesses a high degree of cold tolerance and can survive overwintering in its native habitat. However, to date, it is still unclear how DXWR evolved to cope with low-temperature environment, resulting in limited application of DXWR in rice breeding programs. In this study, we carried out both QTL mapping and phylogenetic analysis to discern the genetic mechanism underlying the strong cold resistance. Through a combination of interval mapping and single locus analysis in two genetic populations, at least 13 QTLs for seedling cold tolerance were identified in DXWR. A phylogenetic study using both genome-wide InDel markers and markers associated with cold tolerance loci reveals that DXWR belongs to the Or-III group, which is most closely related to cold-tolerant Japonica rice rather than to the Indica cultivars that are predominant in the habitat where DXWR grows. Our study paves the way toward an understanding of the nature of adaptation to a northern habitat in O. rufipogon. The QTLs identified in DXWR in this study will be useful for molecular breeding of cold-tolerant rice.
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Affiliation(s)
- Donghai Mao
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, China
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