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Shen S, Xu S, Wang M, Ma T, Chen N, Wang J, Zheng H, Yang L, Zou D, Xin W, Liu H. BSA-Seq for the Identification of Major Genes for EPN in Rice. Int J Mol Sci 2023; 24:14838. [PMID: 37834285 PMCID: PMC10573429 DOI: 10.3390/ijms241914838] [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: 08/16/2023] [Revised: 09/16/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023] Open
Abstract
Improving rice yield is one of the most important food issues internationally. It is an undeniable goal of rice breeding, and the effective panicle number (EPN) is a key factor determining rice yield. Increasing the EPN in rice is a major way to increase rice yield. Currently, the main quantitative trait locus (QTL) for EPN in rice is limited, and there is also limited research on the gene for EPN in rice. Therefore, the excavation and analysis of major genes related to EPN in rice is of great significance for molecular breeding and yield improvement. This study used japonica rice varieties Dongfu 114 and Longyang 11 to construct an F5 population consisting of 309 individual plants. Two extreme phenotypic pools were constructed by identifying the EPN of the population, and QTL-seq analysis was performed to obtain three main effective QTL intervals for EPN. This analysis also helped to screen out 34 candidate genes. Then, EPN time expression pattern analysis was performed on these 34 genes to screen out six candidate genes with higher expression levels. Using a 3K database to perform haplotype analysis on these six genes, we selected haplotypes with significant differences in EPN. Finally, five candidate genes related to EPN were obtained.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Wei Xin
- Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education/College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.S.); (S.X.); (M.W.); (T.M.); (N.C.); (J.W.); (H.Z.); (L.Y.); (D.Z.)
| | - Hualong Liu
- Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education/College of Agriculture, Northeast Agricultural University, Harbin 150030, China; (S.S.); (S.X.); (M.W.); (T.M.); (N.C.); (J.W.); (H.Z.); (L.Y.); (D.Z.)
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Shehzad M, Ditta A, Cai X, Ur Rahman S, Xu Y, Wang K, Zhou Z, Fang L. Identification of salt stress-tolerant candidate genes in the BC 2F 2 population at the seedling stages of G. hirsutum and G. darwinii using NGS-based bulked segregant analysis. FRONTIERS IN PLANT SCIENCE 2023; 14:1125805. [PMID: 37465381 PMCID: PMC10350501 DOI: 10.3389/fpls.2023.1125805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/02/2023] [Indexed: 07/20/2023]
Abstract
Salinity is a major threat to the yield and productivity of cotton seedlings. In the present study, we developed a BC2F2 population of cotton plants from Gossypium darwinii (5-7) and Gossypium hirsutum (CCRI 12-4) salt-susceptible parents to identify salt-resistant candidate genes. The Illumina HiSeq™ strategy was used with bulked segregant analysis. Salt-resistant and salt-susceptible DNA bulks were pooled by using 30 plants from a BC2F2 population. Next-generation sequencing (NGS) technology was used for the sequencing of parents and both bulks. Four significant genomic regions were identified: the first genomic region was located on chromosome 18 (1.86 Mb), the second and third genomic regions were on chromosome 25 (1.06 Mb and 1.94 Mb, respectively), and the fourth was on chromosome 8 (1.41 Mb). The reads of bulk1 and bulk2 were aligned to the G. darwinii and G. hirsutum genomes, respectively, leading to the identification of 20,664,007 single-nucleotide polymorphisms (SNPs) and insertions/deletions (indels). After the screening, 6,573 polymorphic markers were obtained after filtration of the candidate regions. The SNP indices in resistant and susceptible bulks and Δ(SNP-index) values of resistant and susceptible bulks were measured. Based on the higher Δ(SNP-index) value, six effective polymorphic SNPs were selected in a different chromosome. Six effective SNPs were linked to five candidate genes in four genomic regions. Further validation of these five candidate genes was carried out using reverse transcription-quantitative polymerase chain reaction (RT-qPCR), resulting in an expression profile that showed two highly upregulated genes in the salt-tolerant species G. darwinii, i.e., Gohir.D05G367800 and Gohir.D12G239100; however, the opposite was shown in G. hirsutum, for which all genes, except one, showed partial expression. The results indicated that Gohir.D05G367800 and Gohir.D12G239100 may be salt-tolerant genes. We are confident that this study could be helpful for the cloning, transformation, and development of salt-resistant cotton varieties.
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Affiliation(s)
- Muhammad Shehzad
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Allah Ditta
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
- Plant Breeding and Genetics Division, Cotton Group, Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, Punjab, Pakistan
| | - Xiaoyan Cai
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
- National Nanfan Research Institute of Chinese Academy of Agriculture Sciences, Sanya, China
| | - Shafeeq Ur Rahman
- MOE Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Yanchao Xu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
- National Nanfan Research Institute of Chinese Academy of Agriculture Sciences, Sanya, China
| | - Kunbo Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Zhongli Zhou
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
| | - Liu Fang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, Henan, China
- National Nanfan Research Institute of Chinese Academy of Agriculture Sciences, Sanya, China
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, Henan, China
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Sun H, Yuan Z, Li F, Zhang Q, Peng T, Li J, Du Y. Mapping of qChalk1 controlling grain chalkiness in japonica rice. Mol Biol Rep 2023:10.1007/s11033-023-08537-8. [PMID: 37231212 DOI: 10.1007/s11033-023-08537-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 05/17/2023] [Indexed: 05/27/2023]
Abstract
BACKGROUND Rice grain chalkiness is an undesirable characteristic that affects grain quality. The aim of this study was to map QTLs controlling grain chalkiness in japonica rice. METHODS AND RESULTS In this study, two japonica rice cultivars with similar grain shapes but different grain chalkiness rates were crossed and the F2 and BC1F2 populations were subjected to QTL-seq analysis to map the QTLs controlling the grain chalkiness rate. QTL-seq analysis revealed SNP index differences on chromosome 1 in both of the segregating populations. Using polymorphic markers between the two parents, QTL mapping was conducted on 213 individual plants in the BC1F2 population. QTL mapping confined a QTL controlling grain chalkiness, qChalk1, to a 1.1 Mb genomic region on chromosome 1. qChalk1 explained 19.7% of the phenotypic variation. CONCLUSION A QTL controlling grain chalkiness qChalk1 was detected in both F2 and BC1F2 segregating populations by QTL-Seq and QTL mapping methods. This result would be helpful for further cloning of the genes controlling grain chalkiness in japonica rice.
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Affiliation(s)
- Hongzheng Sun
- College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, People's Republic of China
| | - Zeke Yuan
- Henan Zhumadian Agricultural School, Zhumadian, 463000, People's Republic of China
| | - Fuhao Li
- College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, People's Republic of China
| | - Qianqian Zhang
- Xinxiang Academy of Agricultural Sciences, Xinxiang, 453004, People's Republic of China
| | - Ting Peng
- College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, People's Republic of China
| | - Junzhou Li
- College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, People's Republic of China
| | - Yanxiu Du
- College of Agronomy, Henan Agricultural University, Zhengzhou, 450046, People's Republic of China.
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Yang L, Liu H, Lei L, Wang J, Zheng H, Xin W, Zou D. Combined QTL-sequencing, linkage mapping, and RNA-sequencing identify candidate genes and KASP markers for low-temperature germination in Oryza sativa L. ssp. Japonica. PLANTA 2023; 257:122. [PMID: 37202578 DOI: 10.1007/s00425-023-04155-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 05/11/2023] [Indexed: 05/20/2023]
Abstract
MAIN CONCLUSION Through QTL-seq, QTL mapping and RNA-seq, six candidate genes of qLTG9 can be used as targets for cold tolerance functional characterization, and six KASP markers can be used for marker-assisted breeding to improve the germination ability of japonica rice at low temperature. The development of direct-seeded rice at high latitudes and altitudes depends on the seed germination ability of rice under a low-temperature environment. However, the lack of regulatory genes for low-temperature germination has severely limited the application of genetics in improving the breeds. Here, we used cultivars DN430 and DF104 with significantly different low-temperature germination (LTG) and 460 F2:3 progeny derived from them to identify LTG regulators by combining QTL-sequencing, linkage mapping, and RNA-sequencing. The QTL-sequencing mapped qLTG9 within a physical interval of 3.4 Mb. In addition, we used 10 Kompetitive allele-specific PCR (KASP) markers provided by the two parents, and qLTG9 was optimized from 3.4 Mb to a physical interval of 397.9 kb and accounted for 20.4% of the phenotypic variation. RNA-sequencing identified qLTG9 as eight candidate genes with significantly different expression within the 397.9 kb interval, six of which possessed SNPs on the promoter and coding regions. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) completely validated the results of these six genes in RNA-sequencing. Subsequently, six non-synonymous SNPs were designed using variants in the coding region of these six candidates. Genotypic analysis of these SNPs in 60 individuals with extreme phenotypes indicated these SNPs determined the differences in cold tolerance between parents. The six candidate genes of qLTG9 and the six KASP markers could be used together for marker-assisted breeding to improve LTG.
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Affiliation(s)
- Luomiao Yang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Hualong Liu
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Lei Lei
- Institute of Crop Cultivation and Cultivation, Heilongjiang Academy of Agricultural Sciences, Harbin, 150086, China
| | - Jingguo Wang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Honglaing Zheng
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Wei Xin
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Detang Zou
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
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Liu H, Yang L, Xu S, Lyu MJ, Wang J, Wang H, Zheng H, Xin W, Liu J, Zou D. OsWRKY115 on qCT7 links to cold tolerance in rice. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:2353-2367. [PMID: 35622122 DOI: 10.1007/s00122-022-04117-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 04/25/2022] [Indexed: 06/15/2023]
Abstract
qCT7, a novel QTL for increasing seedling cold tolerance in rice, was fine-mapped to a 70.9-kb region on chromosome 7, and key OsWRKY115 was identified in transgenic plants. Cold stress caused by underground cold-water irrigation seriously limits rice productivity. We systemically measured the cold-responsive traits of 2,570 F2 individuals derived from two widely cultivated rice cultivars, Kong-Yu-131 and Dong-Nong-422, to identify the major genomic regions associated with cold tolerance. A novel major QTL, qCT7, was mapped on chromosome 7 associated with the cold tolerance and survival, using whole-genome re-sequencing with bulked segregant analysis. Local QTL linkage analysis with F2 and fine mapping with recombinant plant revealed a 70.9-kb core region on qCT7 encoding 13 protein-coding genes. Only the LOC_Os07g27670 expression level encoding the OsWRKY115 transcription factor on the locus was specifically induced by cold stress in the cold-tolerant cultivar. Moreover, haplotype analysis and the KASP8 marker indicated that OsWRKY115 was significantly associated with cold tolerance. Overexpression and knockout of OsWRKY115 significantly affected cold tolerance in seedlings. Our experiments identified OsWRKY115 as a novel regulatory gene associated with cold response in rice, and the Kong-Yu-131 allele with specific cold-induced expression may be an important molecular variant.
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Affiliation(s)
- Hualong Liu
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Luomiao Yang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Shanbin Xu
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Ming-Jie Lyu
- National Key Facility for Crop Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jingguo Wang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Huan Wang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hongliang Zheng
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Wei Xin
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Jun Liu
- National Key Facility for Crop Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Detang Zou
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
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Xin W, Liu H, Yang L, Ma T, Wang J, Zheng H, Liu W, Zou D. BSA-Seq and Fine Linkage Mapping for the Identification of a Novel Locus (qPH9) for Mature Plant Height in Rice (Oryza sativa). RICE (NEW YORK, N.Y.) 2022; 15:26. [PMID: 35596038 PMCID: PMC9123124 DOI: 10.1186/s12284-022-00576-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 05/13/2022] [Indexed: 05/11/2023]
Abstract
BACKGROUND Plant height is a key factor in the determination of rice yield since excessive height can easily cause lodging and reduce yield. Therefore, the identification and analysis of plant height-related genes to elucidate their physiological, biochemical, and molecular mechanisms have significant implications for rice breeding and production. RESULTS High-throughput quantitative trait locus (QTL) sequencing analysis of a 638-individual F2:3 mapping population resulted in the identification of a novel height-related QTL (qPH9), which was mapped to a 2.02-Mb region of Chromosome 9. Local QTL mapping, which was conducted using 13 single nucleotide polymorphism (SNP)-based Kompetitive allele-specific PCR (KASP) markers for the qPH9 region, and traditional linkage analysis, facilitated the localization of qPH9 to a 126-kb region that contained 15 genes. Subsequent haplotype and sequence analyses indicated that OsPH9 was the most probable candidate gene for plant height at this locus, and functional analysis of osph9 CRISPR/Cas9-generated OsPH9 knockout mutants supported this conclusion. CONCLUSION OsPH9 was identified as a novel regulatory gene associated with plant height in rice, along with a height-reducing allele in 'Dongfu-114' rice, thereby representing an important molecular target for rice improvement. The findings of the present study are expected to spur the investigation of genetic mechanisms underlying rice plant height and further the improvement of rice plant height through marker-assisted selection.
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Affiliation(s)
- Wei Xin
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - HuaLong Liu
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Luomiao Yang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Tianze Ma
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Jingguo Wang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Hongliang Zheng
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Wenxing Liu
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Detang Zou
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
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Tetreault HM, Gries T, Liu S, Toy J, Xin Z, Vermerris W, Ralph J, Funnell-Harris DL, Sattler SE. The Sorghum ( Sorghum bicolor) Brown Midrib 30 Gene Encodes a Chalcone Isomerase Required for Cell Wall Lignification. FRONTIERS IN PLANT SCIENCE 2021; 12:732307. [PMID: 34925394 PMCID: PMC8674566 DOI: 10.3389/fpls.2021.732307] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 10/19/2021] [Indexed: 06/14/2023]
Abstract
In sorghum (Sorghum bicolor) and other C4 grasses, brown midrib (bmr) mutants have long been associated with plants impaired in their ability to synthesize lignin. The brown midrib 30 (Bmr30) gene, identified using a bulk segregant analysis and next-generation sequencing, was determined to encode a chalcone isomerase (CHI). Two independent mutations within this gene confirmed that loss of its function was responsible for the brown leaf midrib phenotype and reduced lignin concentration. Loss of the Bmr30 gene function, as shown by histochemical staining of leaf midrib and stalk sections, resulted in altered cell wall composition. In the bmr30 mutants, CHI activity was drastically reduced, and the accumulation of total flavonoids and total anthocyanins was impaired, which is consistent with its function in flavonoid biosynthesis. The level of the flavone lignin monomer tricin was reduced 20-fold in the stem relative to wild type, and to undetectable levels in the leaf tissue of the mutants. The bmr30 mutant, therefore, harbors a mutation in a phenylpropanoid biosynthetic gene that is key to the interconnection between flavonoids and monolignols, both of which are utilized for lignin synthesis in the grasses.
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Affiliation(s)
- Hannah M. Tetreault
- Wheat, Sorghum and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Lincoln, NE, United States
- Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, United States
| | - Tammy Gries
- Wheat, Sorghum and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Lincoln, NE, United States
- Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, United States
| | - Sarah Liu
- Department of Biochemistry, The DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin, Madison, WI, United States
| | - John Toy
- Wheat, Sorghum and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Lincoln, NE, United States
- Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, United States
| | - Zhanguo Xin
- Plant Stress and Germplasm Development Unit, Agricultural Research Service, United States Department of Agriculture, Lubbock, TX, United States
| | - Wilfred Vermerris
- Department of Microbiology and Cell Science, UF Genetics Institute, University of Florida, Gainesville, FL, United States
| | - John Ralph
- Department of Biochemistry, The DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, University of Wisconsin, Madison, WI, United States
| | - Deanna L. Funnell-Harris
- Wheat, Sorghum and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Lincoln, NE, United States
- Department of Plant Pathology, University of Nebraska–Lincoln, Lincoln, NE, United States
| | - Scott E. Sattler
- Wheat, Sorghum and Forage Research Unit, Agricultural Research Service, United States Department of Agriculture, Lincoln, NE, United States
- Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, United States
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Yang L, Wang J, Han Z, Lei L, Liu HL, Zheng H, Xin W, Zou D. Combining QTL-seq and linkage mapping to fine map a candidate gene in qCTS6 for cold tolerance at the seedling stage in rice. BMC PLANT BIOLOGY 2021; 21:278. [PMID: 34147069 PMCID: PMC8214256 DOI: 10.1186/s12870-021-03076-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 05/27/2021] [Indexed: 05/16/2023]
Abstract
BACKGROUND Cold stress caused by low temperatures is an important factor restricting rice production. Identification of cold-tolerance genes that can stably express in cold environments is crucial for molecular rice breeding. RESULTS In this study, we employed high-throughput quantitative trait locus sequencing (QTL-seq) analyses in a 460-individual F2:3 mapping population to identify major QTL genomic regions governing cold tolerance at the seedling stage in rice. A novel major QTL (qCTS6) controlling the survival rate (SR) under low-temperature conditions of 9°C/10 days was mapped on the 2.60-Mb interval on chromosome 6. Twenty-seven single-nucleotide polymorphism (SNP) markers were designed for the qCST6 region based on re-sequencing data, and local QTL mapping was conducted using traditional linkage analysis. Eventually, we mapped qCTS6 to a 96.6-kb region containing 13 annotated genes, of which seven predicted genes contained 13 non-synonymous SNP loci. Quantitative reverse transcription PCR analysis revealed that only Os06g0719500, an OsbZIP54 transcription factor, was strongly induced by cold stress. Haplotype analysis confirmed that +376 bp (T>A) in the OsbZIP54 coding region played a key role in regulating cold tolerance in rice. CONCLUSION We identified OsbZIP54 as a novel regulatory gene associated with rice cold-responsive traits, with its Dongfu-104 allele showing specific cold-induction expression serving as an important molecular variation for rice improvement. This result is expected to further exploration of the genetic mechanism of rice cold tolerance at the seedling stage and improve cold tolerance in rice varieties by marker-assisted selection.
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Affiliation(s)
- Luomiao Yang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Jingguo Wang
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Zhenghong Han
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Lei Lei
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Hua Long Liu
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Hongliang Zheng
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Wei Xin
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China
| | - Detang Zou
- Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
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Selvaraj R, Singh AK, Singh VK, Abbai R, Habde SV, Singh UM, Kumar A. Superior haplotypes towards development of low glycemic index rice with preferred grain and cooking quality. Sci Rep 2021; 11:10082. [PMID: 33980871 PMCID: PMC8115083 DOI: 10.1038/s41598-021-87964-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 03/19/2021] [Indexed: 02/03/2023] Open
Abstract
Increasing trends in the occurrence of diabetes underline the need to develop low glycemic index (GI) rice with preferred grain quality. In the current study, a diverse set of 3 K sub-panel of rice consisting of 150 accessions was evaluated for resistant starch and predicted glycemic index, including nine other quality traits under transplanted situation. Significant variations were noticed among the accessions for the traits evaluated. Trait associations had shown that amylose content possess significant positive and negative association with resistant starch and predicted glycemic index. Genome-wide association studies with 500 K SNPs based on MLM model resulted in a total of 41 marker-trait associations (MTAs), which were further confirmed and validated with mrMLM multi-locus model. We have also determined the allelic effect of identified MTAs for 11 targeted traits and found favorable SNPs for 8 traits. A total of 11 genes were selected for haplo-pheno analysis to identify the superior haplotypes for the target traits where haplotypes ranges from 2 (Os10g0469000-GC) to 15 (Os06g18720-AC). Superior haplotypes for RS and PGI, the candidate gene Os06g11100 (H4-3.28% for high RS) and Os08g12590 (H13-62.52 as intermediate PGI). The identified superior donors possessing superior haplotype combinations may be utilized in Haplotype-based breeding to developing next-generation tailor-made high quality healthier rice varieties suiting consumer preference and market demand.
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Affiliation(s)
- Ramchander Selvaraj
- IRRI South Asia Hub (IRRI-SAH), ICRISAT Campus, Patancheru, Hyderabad, India
| | - Arun Kumar Singh
- IRRI South Asia Hub (IRRI-SAH), ICRISAT Campus, Patancheru, Hyderabad, India
| | - Vikas Kumar Singh
- IRRI South Asia Hub (IRRI-SAH), ICRISAT Campus, Patancheru, Hyderabad, India
| | - Ragavendran Abbai
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany
| | - Sonali Vijay Habde
- South-Asia Regional Centre (SARC), International Rice Research Institute (IRRI), Varanasi, India
| | - Uma Maheshwar Singh
- South-Asia Regional Centre (SARC), International Rice Research Institute (IRRI), Varanasi, India
| | - Arvind Kumar
- IRRI South Asia Hub (IRRI-SAH), ICRISAT Campus, Patancheru, Hyderabad, India.
- South-Asia Regional Centre (SARC), International Rice Research Institute (IRRI), Varanasi, India.
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Mishra A, Singh A, Mantri S, Pandey AK, Garg M, Deshmukh R, Sonah H, Kandoth PK, Sharma TR, Roy J. Decoding the genome of superior chapatti quality Indian wheat variety 'C 306' unravelled novel genomic variants for chapatti and nutrition quality related genes. Genomics 2021; 113:1919-1929. [PMID: 33823224 DOI: 10.1016/j.ygeno.2021.03.031] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 03/18/2021] [Accepted: 03/29/2021] [Indexed: 11/26/2022]
Abstract
An Indian wheat variety, 'C 306' has good chapatti quality, which is controlled by multiple genes that have not been explored. We report the high quality de novo assembled genome of 'C 306' by combining short and long read sequencing data. The hybrid assembly covered 93% of gene space and identified about 142 K coding genes, 34% repetitive DNA and ~ 501 K SSR motifs. The phylogenetic analysis of about 83 K orthologous protein groups suggested the closest relationship with T. turgidum, T. aestivum and Ae. tauschii. Genome wide analysis annotated 69,217,536 genomic variants. Out of them, 1423 missense and 117 deleterious variants identified in processing, nutrition, and chapatti quality related genes such as alpha- and beta-gliadin, SSI, SSIII, SUT1, SBEI, CHS, YSL, DMAS, and NAS encoded proteins. These variants may affect quality genes. The genomic data will be potential genomic resources in wheat breeding programs for quality improvement.
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Affiliation(s)
- Ankita Mishra
- National Agri-Food Biotechnology Institute (NABI), Sector-81, Mohali 140306, Punjab, India.
| | - Akshay Singh
- National Agri-Food Biotechnology Institute (NABI), Sector-81, Mohali 140306, Punjab, India.
| | - Shrikant Mantri
- National Agri-Food Biotechnology Institute (NABI), Sector-81, Mohali 140306, Punjab, India.
| | - Ajay K Pandey
- National Agri-Food Biotechnology Institute (NABI), Sector-81, Mohali 140306, Punjab, India.
| | - Monika Garg
- National Agri-Food Biotechnology Institute (NABI), Sector-81, Mohali 140306, Punjab, India.
| | - Rupesh Deshmukh
- National Agri-Food Biotechnology Institute (NABI), Sector-81, Mohali 140306, Punjab, India.
| | - Humira Sonah
- National Agri-Food Biotechnology Institute (NABI), Sector-81, Mohali 140306, Punjab, India.
| | | | - Tilak Raj Sharma
- National Agri-Food Biotechnology Institute (NABI), Sector-81, Mohali 140306, Punjab, India.
| | - Joy Roy
- National Agri-Food Biotechnology Institute (NABI), Sector-81, Mohali 140306, Punjab, India.
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Yang L, Lei L, Li P, Wang J, Wang C, Yang F, Chen J, Liu H, Zheng H, Xin W, Zou D. Identification of Candidate Genes Conferring Cold Tolerance to Rice ( Oryza sativa L.) at the Bud-Bursting Stage Using Bulk Segregant Analysis Sequencing and Linkage Mapping. FRONTIERS IN PLANT SCIENCE 2021; 12:647239. [PMID: 33790929 PMCID: PMC8006307 DOI: 10.3389/fpls.2021.647239] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 02/22/2021] [Indexed: 05/29/2023]
Abstract
Low-temperature tolerance during the bud-bursting stage is an important characteristic of direct-seeded rice. The identification of cold-tolerance quantitative trait loci (QTL) in species that can stably tolerate cold environments is crucial for the molecular breeding of rice with such traits. In our study, high-throughput QTL-sequencing analyses were performed in a 460-individual F2 : 3 mapping population to identify the major QTL genomic regions governing cold tolerance at the bud-bursting (CTBB) stage in rice. A novel major QTL, qCTBB9, which controls seed survival rate (SR) under low-temperature conditions of 5°C/9 days, was mapped on the 5.40-Mb interval on chromosome 9. Twenty-six non-synonymous single-nucleotide polymorphism (nSNP) markers were designed for the qCTBB9 region based on re-sequencing data and local QTL mapping conducted using traditional linkage analysis. We mapped qCTBB9 to a 483.87-kb region containing 58 annotated genes, among which six predicted genes contained nine nSNP loci. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) analysis revealed that only Os09g0444200 was strongly induced by cold stress. Haplotype analysis further confirmed that the SNP 1,654,225 bp in the Os09g0444200 coding region plays a key role in regulating the cold tolerance of rice. These results suggest that Os09g0444200 is a potential candidate for qCTBB9. Our results are of great significance to explore the genetic mechanism of rice CTBB and to improve the cold tolerance of rice varieties by marker-assisted selection.
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Sahu PK, Sao R, Mondal S, Vishwakarma G, Gupta SK, Kumar V, Singh S, Sharma D, Das BK. Next Generation Sequencing Based Forward Genetic Approaches for Identification and Mapping of Causal Mutations in Crop Plants: A Comprehensive Review. PLANTS 2020; 9:plants9101355. [PMID: 33066352 PMCID: PMC7602136 DOI: 10.3390/plants9101355] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 09/14/2020] [Accepted: 09/21/2020] [Indexed: 11/16/2022]
Abstract
The recent advancements in forward genetics have expanded the applications of mutation techniques in advanced genetics and genomics, ahead of direct use in breeding programs. The advent of next-generation sequencing (NGS) has enabled easy identification and mapping of causal mutations within a short period and at relatively low cost. Identifying the genetic mutations and genes that underlie phenotypic changes is essential for understanding a wide variety of biological functions. To accelerate the mutation mapping for crop improvement, several high-throughput and novel NGS based forward genetic approaches have been developed and applied in various crops. These techniques are highly efficient in crop plants, as it is relatively easy to grow and screen thousands of individuals. These approaches have improved the resolution in quantitative trait loci (QTL) position/point mutations and assisted in determining the functional causative variations in genes. To be successful in the interpretation of NGS data, bioinformatics computational methods are critical elements in delivering accurate assembly, alignment, and variant detection. Numerous bioinformatics tools/pipelines have been developed for such analysis. This article intends to review the recent advances in NGS based forward genetic approaches to identify and map the causal mutations in the crop genomes. The article also highlights the available bioinformatics tools/pipelines for reducing the complexity of NGS data and delivering the concluding outcomes.
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Affiliation(s)
- Parmeshwar K. Sahu
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur 492012, Chhattisgarh, India; (P.K.S.); (R.S.)
| | - Richa Sao
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur 492012, Chhattisgarh, India; (P.K.S.); (R.S.)
| | - Suvendu Mondal
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, India; (S.M.); (G.V.); (S.K.G.); (S.S.)
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, India
| | - Gautam Vishwakarma
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, India; (S.M.); (G.V.); (S.K.G.); (S.S.)
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, India
| | - Sudhir Kumar Gupta
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, India; (S.M.); (G.V.); (S.K.G.); (S.S.)
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, India
| | - Vinay Kumar
- ICAR-National Institute of Biotic Stress Management, Baronda, Raipur 493225, Chhattisgarh, India;
| | - Sudhir Singh
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, India; (S.M.); (G.V.); (S.K.G.); (S.S.)
| | - Deepak Sharma
- Department of Genetics and Plant Breeding, Indira Gandhi Krishi Vishwavidyalaya, Raipur 492012, Chhattisgarh, India; (P.K.S.); (R.S.)
- Correspondence: (D.S.); (B.K.D.)
| | - Bikram K. Das
- Nuclear Agriculture and Biotechnology Division, Bhabha Atomic Research Centre, Mumbai 400085, India; (S.M.); (G.V.); (S.K.G.); (S.S.)
- Homi Bhabha National Institute, Training School Complex, Anushaktinagar, Mumbai 400094, India
- Correspondence: (D.S.); (B.K.D.)
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13
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Comparisons of sampling methods for assessing intra- and inter-accession genetic diversity in three rice species using genotyping by sequencing. Sci Rep 2020; 10:13995. [PMID: 32814806 PMCID: PMC7438528 DOI: 10.1038/s41598-020-70842-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Accepted: 07/27/2020] [Indexed: 11/09/2022] Open
Abstract
To minimize the cost of sample preparation and genotyping, most genebank genomics studies in self-pollinating species are conducted on a single individual to represent an accession, which may be heterogeneous with larger than expected intra-accession genetic variation. Here, we compared various population genetics parameters among six DNA (leaf) sampling methods on 90 accessions representing a wild species (O. barthii), cultivated and landraces (O. glaberrima, O. sativa), and improved varieties derived through interspecific hybridizations. A total of 1,527 DNA samples were genotyped with 46,818 polymorphic single nucleotide polymorphisms (SNPs) using DArTseq. Various statistical analyses were performed on eleven datasets corresponding to 5 plants per accession individually and in a bulk (two sets), 10 plants individually and in a bulk (two sets), all 15 plants individually (one set), and a randomly sampled individual repeated six times (six sets). Overall, we arrived at broadly similar conclusions across 11 datasets in terms of SNP polymorphism, heterozygosity/heterogeneity, diversity indices, concordance among genetic dissimilarity matrices, population structure, and genetic differentiation; there were, however, a few discrepancies between some pairs of datasets. Detailed results of each sampling method, the concordance in their outputs, and the technical and cost implications of each method were discussed.
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Shen J, Guo MJ, Wang YG, Yuan XY, Wen YY, Song XE, Dong SQ, Guo PY. Humic acid improves the physiological and photosynthetic characteristics of millet seedlings under drought stress. PLANT SIGNALING & BEHAVIOR 2020; 15:1774212. [PMID: 32552556 PMCID: PMC8570710 DOI: 10.1080/15592324.2020.1774212] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 03/27/2020] [Accepted: 04/07/2020] [Indexed: 05/24/2023]
Abstract
We aimed to determine whether humic acid (HA) can alleviate the injury of millet caused by drought and its potential mechanism. Millet seeds (Jingu 21 and Zhangza 10) were soaked in different concentrations of HA (0, 50, 10, 200, and 300 mg L-1) for 12 h. The physiological and photosynthetic characteristics of millet seedlings, including growth parameters, osmotic regulators, antioxidase activity, photosynthesis, chlorophyll fluorescence, and P700 parameters, were determined before and after drought stress. HA significantly promoted the growth of millet seedlings under drought stress. Pretreatment with 100 mg L-1 or 200 mg L-1 HA significantly increased free proline, soluble protein, and activity of the antioxidant enzyme system (superoxide dismutase, peroxidase, and catalase) in both Zhangza 10 and Jingu 21. The accumulation of reactive oxygen species ([Formula: see text] and H2O2) was reduced in HA treatments compared with that of the control (P < .05). Moreover, HA (100 mg L-1) significantly increased net photosynthetic rate, stomatal conductance, effective quantum yield of photosystem II, relative photosynthetic electron transfer rate of photosystem II, and photochemical quenching. HA also reduced intercellular CO2 concentration and non-photochemical quenching. Furthermore, 200 mg L-1 HA significantly increased the maximum P700, effective quantum yield of photosystem I, and relative photosynthetic electron transfer rate of photosystem I in Zhangza 10 and decreased non-photochemical energy dissipation in Jingu 21 and Zhangza 10 under drought stress. HA promoted the growth of millet seedlings under drought stress by promoting the osmotic adjustment ability and antioxidant capacity of seedlings and increased photosynthesis.
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Affiliation(s)
- Jie Shen
- Department of Agronomy, College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi, China
| | - Mei-jun Guo
- Department of Agronomy, College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi, China
| | - Yu-guo Wang
- Department of Agronomy, College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi, China
| | - Xiang-yang Yuan
- Department of Agronomy, College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi, China
| | - Yin-yuan Wen
- Department of Agronomy, College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi, China
| | - Xi-e Song
- Department of Agronomy, College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi, China
| | - Shu-qi Dong
- Department of Agronomy, College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi, China
| | - Ping-yi Guo
- Department of Agronomy, College of Agriculture, Shanxi Agricultural University, Jinzhong, Shanxi, China
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15
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Luo H, Pandey MK, Zhi Y, Zhang H, Xu S, Guo J, Wu B, Chen H, Ren X, Zhou X, Chen Y, Chen W, Huang L, Liu N, Sudini HK, Varshney RK, Lei Y, Liao B, Jiang H. Discovery of two novel and adjacent QTLs on chromosome B02 controlling resistance against bacterial wilt in peanut variety Zhonghua 6. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:1133-1148. [PMID: 31980836 PMCID: PMC7064456 DOI: 10.1007/s00122-020-03537-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 01/03/2020] [Indexed: 05/09/2023]
Abstract
Two novel and adjacent genomics and candidate genes for bacterial wilt resistance were identified on chromosome B02 in peanut variety Zhonghua 6 using both traditional QTL mapping and QTL-seq methods. Peanut (Arachis hypogaea) is an important oilseed crop worldwide. Utilization of genetic resistance is the most economic and effective approach to control bacterial wilt, one of the most devastating plant diseases, in peanut production. To accelerate the genetic improvement of bacterial wilt resistance (BWR) in peanut breeding programs, quantitative trait locus (QTL) mapping has been conducted for two resistant varieties. In this context, we deployed linkage mapping as well as sequencing-based mapping approach, QTL-seq, to identify genomic regions and candidate genes for BWR in another highly resistant variety Zhonghua 6. The recombination inbred line population (268 progenies) from the cross Xuhua 13 × Zhonghua 6 was used in BWR evaluation across five environments. QTL mapping using both SSR- and SNP-based genetic maps identified a stable QTL (qBWRB02-1) on chromosome B02 with 37.79-78.86% phenotypic variation explained (PVE) across five environments. The QTL-seq facilitated further dissection of qBWRB02-1 into two adjacent genomic regions, qBWRB02-1-1 (2.81-4.24 Mb) and qBWRB02-1-2 (6.54-8.75 Mb). Mapping of newly developed Kompetitive allele-specific PCR (KASP) markers on the genetic map confirmed their stable expressions across five environments. The effects of qBWRB02-1-1 (49.43-68.86% PVE) were much higher than qBWRB02-1-2 (3.96-6.48% PVE) and other previously reported QTLs. Nineteen putative candidate genes affected by 49 non-synonymous SNPs were identified for qBWRB02-1-1, and ten of them were predicted to code for disease resistance proteins. The major and stable QTL qBWRB02-1-1 and validated KASP markers could be deployed in genomics-assisted breeding (GAB) to develop improved peanut varieties with enhanced BWR.
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Affiliation(s)
- Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Manish K Pandey
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Ye Zhi
- Angel Yeast Co., Ltd, Yichang, 443003, Hubei, China
| | - Huan Zhang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Siliang Xu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Jianbin Guo
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Bei Wu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Haiwen Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Xiaoping Ren
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Hari K Sudini
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Rajeev K Varshney
- International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Hyderabad, 502324, India
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
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Mbanjo EGN, Kretzschmar T, Jones H, Ereful N, Blanchard C, Boyd LA, Sreenivasulu N. The Genetic Basis and Nutritional Benefits of Pigmented Rice Grain. Front Genet 2020; 11:229. [PMID: 32231689 PMCID: PMC7083195 DOI: 10.3389/fgene.2020.00229] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 02/26/2020] [Indexed: 12/31/2022] Open
Abstract
Improving the nutritional quality of rice grains through modulation of bioactive compounds and micronutrients represents an efficient means of addressing nutritional security in societies which depend heavily on rice as a staple food. White rice makes a major contribution to the calorific intake of Asian and African populations, but its nutritional quality is poor compared to that of pigmented (black, purple, red orange, or brown) variants. The compounds responsible for these color variations are the flavonoids anthocyanin and proanthocyanidin, which are known to have nutritional value. The rapid progress made in the technologies underlying genome sequencing, the analysis of gene expression and the acquisition of global 'omics data, genetics of grain pigmentation has created novel opportunities for applying molecular breeding to improve the nutritional value and productivity of pigmented rice. This review provides an update on the nutritional value and health benefits of pigmented rice grain, taking advantage of both indigenous and modern knowledge, while also describing the current approaches taken to deciphering the genetic basis of pigmentation.
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Affiliation(s)
- Edwige Gaby Nkouaya Mbanjo
- International Rice Research Institute, Los Baños, Philippines
- International Institute for Tropical Agriculture, Ibadan, Oyo, Nigeria
| | - Tobias Kretzschmar
- Southern Cross Plant Science, Southern Cross University, Lismore, NSW, Australia
| | - Huw Jones
- National Institute of Agricultural Botany, Cambridge, United Kingdom
| | - Nelzo Ereful
- National Institute of Agricultural Botany, Cambridge, United Kingdom
| | - Christopher Blanchard
- School of Biomedical Sciences, Charles Sturt University, Wagga Wagga, NSW, Australia
| | - Lesley Ann Boyd
- National Institute of Agricultural Botany, Cambridge, United Kingdom
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Holtgräwe D, Rosleff Soerensen T, Hausmann L, Pucker B, Viehöver P, Töpfer R, Weisshaar B. A Partially Phase-Separated Genome Sequence Assembly of the Vitis Rootstock 'Börner' ( Vitis riparia × Vitis cinerea) and Its Exploitation for Marker Development and Targeted Mapping. FRONTIERS IN PLANT SCIENCE 2020; 11:156. [PMID: 32194587 PMCID: PMC7064618 DOI: 10.3389/fpls.2020.00156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 01/31/2020] [Indexed: 06/10/2023]
Abstract
Grapevine breeding has become highly relevant due to upcoming challenges like climate change, a decrease in the number of available fungicides, increasing public concern about plant protection, and the demand for a sustainable production. Downy mildew caused by Plasmopara viticola is one of the most devastating diseases worldwide of cultivated Vitis vinifera. In modern breeding programs, therefore, genetic marker technologies and genomic data are used to develop new cultivars with defined and stacked resistance loci. Potential sources of resistance are wild species of American or Asian origin. The interspecific hybrid of Vitis riparia Gm 183 x Vitis cinerea Arnold, available as the rootstock cultivar 'Börner,' carries several relevant resistance loci. We applied next-generation sequencing to enable the reliable identification of simple sequence repeats (SSR), and we also generated a draft genome sequence assembly of 'Börner' to access genome-wide sequence variations in a comprehensive and highly reliable way. These data were used to cover the 'Börner' genome with genetic marker positions. A subset of these marker positions was used for targeted mapping of the P. viticola resistance locus, Rpv14, to validate the marker position list. Based on the reference genome sequence PN40024, the position of this resistance locus can be narrowed down to less than 0.5 Mbp on chromosome 5.
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Affiliation(s)
- Daniela Holtgräwe
- Faculty of Biology, Center for Biotechnology, Bielefeld University, Bielefeld, Germany
| | | | - Ludger Hausmann
- Institute for Grapevine Breeding Geilweilerhof, Julius Kuehn-Institute, Federal Research Centre for Cultivated Plants, Siebeldingen, Germany
| | - Boas Pucker
- Faculty of Biology, Center for Biotechnology, Bielefeld University, Bielefeld, Germany
| | - Prisca Viehöver
- Faculty of Biology, Center for Biotechnology, Bielefeld University, Bielefeld, Germany
| | - Reinhard Töpfer
- Institute for Grapevine Breeding Geilweilerhof, Julius Kuehn-Institute, Federal Research Centre for Cultivated Plants, Siebeldingen, Germany
| | - Bernd Weisshaar
- Faculty of Biology, Center for Biotechnology, Bielefeld University, Bielefeld, Germany
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Gyawali A, Shrestha V, Guill KE, Flint-Garcia S, Beissinger TM. Single-plant GWAS coupled with bulk segregant analysis allows rapid identification and corroboration of plant-height candidate SNPs. BMC PLANT BIOLOGY 2019; 19:412. [PMID: 31590656 PMCID: PMC6781408 DOI: 10.1186/s12870-019-2000-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 08/30/2019] [Indexed: 05/22/2023]
Abstract
BACKGROUND Genome wide association studies (GWAS) are a powerful tool for identifying quantitative trait loci (QTL) and causal single nucleotide polymorphisms (SNPs)/genes associated with various important traits in crop species. Typically, GWAS in crops are performed using a panel of inbred lines, where multiple replicates of the same inbred are measured and the average phenotype is taken as the response variable. Here we describe and evaluate single plant GWAS (sp-GWAS) for performing a GWAS on individual plants, which does not require an association panel of inbreds. Instead sp-GWAS relies on the phenotypes and genotypes from individual plants sampled from a randomly mating population. Importantly, we demonstrate how sp-GWAS can be efficiently combined with a bulk segregant analysis (BSA) experiment to rapidly corroborate evidence for significant SNPs. RESULTS In this study we used the Shoepeg maize landrace, collected as an open pollinating variety from a farm in Southern Missouri in the 1960's, to evaluate whether sp-GWAS coupled with BSA can efficiently and powerfully used to detect significant association of SNPs for plant height (PH). Plant were grown in 8 locations across two years and in total 768 individuals were genotyped and phenotyped for sp-GWAS. A total of 306 k polymorphic markers in 768 individuals evaluated via association analysis detected 25 significant SNPs (P ≤ 0.00001) for PH. The results from our single-plant GWAS were further validated by bulk segregant analysis (BSA) for PH. BSA sequencing was performed on the same population by selecting tall and short plants as separate bulks. This approach identified 37 genomic regions for plant height. Of the 25 significant SNPs from GWAS, the three most significant SNPs co-localize with regions identified by BSA. CONCLUSION Overall, this study demonstrates that sp-GWAS coupled with BSA can be a useful tool for detecting significant SNPs and identifying candidate genes. This result is particularly useful for species/populations where association panels are not readily available.
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Affiliation(s)
- Abiskar Gyawali
- Division of Biological Sciences, University of Missouri, Columbia, USA
| | - Vivek Shrestha
- Division of Biological Sciences, University of Missouri, Columbia, USA
| | | | - Sherry Flint-Garcia
- USDA-ARS, Columbia, MO USA
- Division of Plant Sciences, University of Missouri, Columbia, USA
| | - Timothy M. Beissinger
- Department of Crop Sciences, Georg-August Universität Göttingen, Göttingen, Germany
- Center for Integrated Breeding Research, Georg August Universität Göttingen, Göttingen, Germany
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19
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Advances in Molecular Genetics and Genomics of African Rice ( Oryza glaberrima Steud). PLANTS 2019; 8:plants8100376. [PMID: 31561516 PMCID: PMC6843444 DOI: 10.3390/plants8100376] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 09/23/2019] [Accepted: 09/25/2019] [Indexed: 02/07/2023]
Abstract
African rice (Oryza glaberrima) has a pool of genes for resistance to diverse biotic and abiotic stresses, making it an important genetic resource for rice improvement. African rice has potential for breeding for climate resilience and adapting rice cultivation to climate change. Over the last decade, there have been tremendous technological and analytical advances in genomics that have dramatically altered the landscape of rice research. Here we review the remarkable advances in knowledge that have been witnessed in the last few years in the area of genetics and genomics of African rice. Advances in cheap DNA sequencing technologies have fuelled development of numerous genomic and transcriptomic resources. Genomics has been pivotal in elucidating the genetic architecture of important traits thereby providing a basis for unlocking important trait variation. Whole genome re-sequencing studies have provided great insights on the domestication process, though key studies continue giving conflicting conclusions and theories. However, the genomic resources of African rice appear to be under-utilized as there seems to be little evidence that these vast resources are being productively exploited for example in practical rice improvement programmes. Challenges in deploying African rice genetic resources in rice improvement and the genomics efforts made in addressing them are highlighted.
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Luo H, Pandey MK, Khan AW, Guo J, Wu B, Cai Y, Huang L, Zhou X, Chen Y, Chen W, Liu N, Lei Y, Liao B, Varshney RK, Jiang H. Discovery of genomic regions and candidate genes controlling shelling percentage using QTL-seq approach in cultivated peanut (Arachis hypogaea L.). PLANT BIOTECHNOLOGY JOURNAL 2019; 17:1248-1260. [PMID: 30549165 PMCID: PMC6576108 DOI: 10.1111/pbi.13050] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 11/27/2018] [Accepted: 11/28/2018] [Indexed: 05/12/2023]
Abstract
Cultivated peanut (Arachis hypogaea L.) is an important grain legume providing high-quality cooking oil, rich proteins and other nutrients. Shelling percentage (SP) is the 2nd most important agronomic trait after pod yield and this trait significantly affects the economic value of peanut in the market. Deployment of diagnostic markers through genomics-assisted breeding (GAB) can accelerate the process of developing improved varieties with enhanced SP. In this context, we deployed the QTL-seq approach to identify genomic regions and candidate genes controlling SP in a recombinant inbred line population (Yuanza 9102 × Xuzhou 68-4). Four libraries (two parents and two extreme bulks) were constructed and sequenced, generating 456.89-790.32 million reads and achieving 91.85%-93.18% genome coverage and 14.04-21.37 mean read depth. Comprehensive analysis of two sets of data (Yuanza 9102/two bulks and Xuzhou 68-4/two bulks) using the QTL-seq pipeline resulted in discovery of two overlapped genomic regions (2.75 Mb on A09 and 1.1 Mb on B02). Nine candidate genes affected by 10 SNPs with non-synonymous effects or in UTRs were identified in these regions for SP. Cost-effective KASP (Kompetitive Allele-Specific PCR) markers were developed for one SNP from A09 and three SNPs from B02 chromosome. Genotyping of the mapping population with these newly developed KASP markers confirmed the major control and stable expressions of these genomic regions across five environments. The identified candidate genomic regions and genes for SP further provide opportunity for gene cloning and deployment of diagnostic markers in molecular breeding for achieving high SP in improved varieties.
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Affiliation(s)
- Huaiyong Luo
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Manish K. Pandey
- Center of Excellence in Genomics & Systems Biology (CEGSB)International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Aamir W. Khan
- Center of Excellence in Genomics & Systems Biology (CEGSB)International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Jianbin Guo
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Bei Wu
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Yan Cai
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Li Huang
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Xiaojing Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Yuning Chen
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Weigang Chen
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Nian Liu
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Yong Lei
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Boshou Liao
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
| | - Rajeev K. Varshney
- Center of Excellence in Genomics & Systems Biology (CEGSB)International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT)HyderabadIndia
| | - Huifang Jiang
- Key Laboratory of Biology and Genetic Improvement of Oil CropsMinistry of AgricultureOil Crops Research Institute of the Chinese Academy of Agricultural SciencesWuhanChina
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21
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Lemos PVF, Barbosa LS, Ramos IG, Coelho RE, Druzian JI. Characterization of amylose and amylopectin fractions separated from potato, banana, corn, and cassava starches. Int J Biol Macromol 2019; 132:32-42. [PMID: 30880053 DOI: 10.1016/j.ijbiomac.2019.03.086] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 03/13/2019] [Accepted: 03/13/2019] [Indexed: 10/27/2022]
Abstract
Analytical techniques such HPSEC, DSC, and TGA have been employed for amylose determination in starch samples, though spectrophotometry by iodine binding is most commonly used. The vast majority of these techniques require an analytical curve, using amylose and amylopectin standards with physicochemical properties similar to those found in the original starch. The current study aimed to obtain the amylose and amylopectin fractions from potato, banana, corn, and cassava starches, characterize them, and evaluate their behavior via thermogravimetric curves. Blue amylose iodine complex and HPSEC-DRI methods have obtained high purity amylose and amylopectin fractions. All molecular weights of the obtained amylose and amylopectin fractions were similar to those presented in other reports. Different results were obtained by deconvolution of the amylopectin polymodal distribution. All amyloses presented as semi-crystalline V-type polymorphs, while all amylopectin fractions were amorphous. The Tg of all Vamyloses presented were directly proportional to their respective crystalline index. TGA evaluations have shown that selective precipitation of amylose with 1-butanol strongly changes its thermal behavior. Therefore, the separation procedure used was an ineffective pathway for obtaining standards for thermal studies.
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Affiliation(s)
- Paulo Vitor França Lemos
- Faculty of Pharmacy, Federal University of Bahia, Rua Barão de Jeremoabo, 147, Campus Universitário de Ondina, 40. 170-115, Salvador, BA, Brazil.
| | - Leandro Santos Barbosa
- Faculty of Pharmacy, Federal University of Bahia, Rua Barão de Jeremoabo, 147, Campus Universitário de Ondina, 40. 170-115, Salvador, BA, Brazil
| | - Ingrid Graça Ramos
- Faculty of Pharmacy, Federal University of Bahia, Rua Barão de Jeremoabo, 147, Campus Universitário de Ondina, 40. 170-115, Salvador, BA, Brazil
| | | | - Janice Izabel Druzian
- Faculty of Pharmacy, Federal University of Bahia, Rua Barão de Jeremoabo, 147, Campus Universitário de Ondina, 40. 170-115, Salvador, BA, Brazil.
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22
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Nguyen KL, Grondin A, Courtois B, Gantet P. Next-Generation Sequencing Accelerates Crop Gene Discovery. TRENDS IN PLANT SCIENCE 2019; 24:263-274. [PMID: 30573308 DOI: 10.1016/j.tplants.2018.11.008] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Revised: 11/20/2018] [Accepted: 11/22/2018] [Indexed: 05/22/2023]
Abstract
The identification and isolation of genes underlying quantitative trait loci (QTLs) associated with agronomic traits in crops have been recently accelerated thanks to next-generation sequencing (NGS)-based technologies combined with plant genetics. With NGS, various revisited genetic approaches, which benefited from higher marker density, have been elaborated. These approaches improved resolution in QTL position and assisted in determining functional causative variations in genes. Examples of QTLs/genes associated with agronomic traits in crops and identified using different strategies based on whole-genome sequencing (WGS)/whole-genome resequencing (WGR) or RNA-seq are presented and discussed in this review. More specifically, we summarize and illustrate how NGS boosted bulk-segregant analysis (BSA), expression profiling, and the construction of polymorphism databases to facilitate the detection of QTLs and causative genes.
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Affiliation(s)
- Khanh Le Nguyen
- Université de Montpellier, Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier cedex 5, France; LMI RICE 2, AGI, Km2 Pham Van Dong, Tu Liem, Hanoi, Vietnam
| | - Alexandre Grondin
- Université de Montpellier, Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier cedex 5, France
| | - Brigitte Courtois
- CIRAD, UMR AGAP, F-34398 Montpellier, France; Université de Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
| | - Pascal Gantet
- Université de Montpellier, Institut de Recherche pour le Développement, UMR DIADE, 911 Avenue Agropolis, 34394 Montpellier cedex 5, France; Centre of the Region Haná for Biotechnological and Agricultural Research, Dept. of Molecular Biology, Faculty of Science, Palacký University, Olomouc, Czech Republic.
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23
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Fiaz S, Ahmad S, Noor MA, Wang X, Younas A, Riaz A, Riaz A, Ali F. Applications of the CRISPR/Cas9 System for Rice Grain Quality Improvement: Perspectives and Opportunities. Int J Mol Sci 2019; 20:E888. [PMID: 30791357 PMCID: PMC6412304 DOI: 10.3390/ijms20040888] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 02/07/2019] [Accepted: 02/15/2019] [Indexed: 02/06/2023] Open
Abstract
Grain quality improvement is a key target for rice breeders, along with yield. It is a multigenic trait that is simultaneously influenced by many factors. Over the past few decades, breeding for semi-dwarf cultivars and hybrids has significantly contributed to the attainment of high yield demands but reduced grain quality, which thus needs the attention of researchers. The availability of rice genome sequences has facilitated gene discovery, targeted mutagenesis, and revealed functional aspects of rice grain quality attributes. Some success has been achieved through the application of molecular markers to understand the genetic mechanisms for better rice grain quality; however, researchers have opted for novel strategies. Genomic alteration employing genome editing technologies (GETs) like clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) for reverse genetics has opened new avenues of research in the life sciences, including for rice grain quality improvement. Currently, CRISPR/Cas9 technology is widely used by researchers for genome editing to achieve the desired biological objectives, because of its simple targeting. Over the past few years many genes that are related to various aspects of rice grain quality have been successfully edited via CRISPR/Cas9 technology. Interestingly, studies on functional genomics at larger scales have become possible because of the availability of GETs. In this review, we discuss the progress made in rice by employing the CRISPR/Cas9 editing system and its eminent applications. We also elaborate possible future avenues of research with this system, and our understanding regarding the biological mechanism of rice grain quality improvement.
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Affiliation(s)
- Sajid Fiaz
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China.
| | - Shakeel Ahmad
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China.
| | - Mehmood Ali Noor
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture, Beijing 100081, China.
| | - Xiukang Wang
- College of Life Sciences, Yan'an University, Yan'an 716000, Shaanxi, China.
| | - Afifa Younas
- Department of Botany, Lahore College for Women University, Lahore 54000, Pakistan.
| | - Aamir Riaz
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China.
| | - Adeel Riaz
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Fahad Ali
- State Key Laboratory of Rice Biology, China National Rice Research Institute, Hangzhou 310006, China.
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24
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Song JM, Arif M, Zhang M, Sze SH, Zhang HB. Phenotypic and molecular dissection of grain quality using the USDA rice mini-core collection. Food Chem 2019; 284:312-322. [PMID: 30744863 DOI: 10.1016/j.foodchem.2019.01.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 11/21/2018] [Accepted: 01/03/2019] [Indexed: 12/16/2022]
Abstract
Grain quality is a major breeding objective and paramount to food production. This study was aimed to phenotypically and molecularly dissect the rice grain quality, especially amylose content (AC), grain protein content (GPC) and alkali spreading value (ASV), using the USDA rice mini-core collection representing the world-wide rice germplasm lines. Grain chemical analysis combined with genome-wide association study (GWAS) was used for the study. A wide genetic variation was observed for these grain quality traits in the mini-core collection. Germplasm lines unique in AC, GPC and ASV and desirable for grain quality improvement were identified. The genetic diversity of the collection was re-analyzed using new SNPs, thus providing a more precise genotypic information about the collection. Furthermore, ten loci significantly associated with these grain quality traits were identified through GWAS using 22947 high-quality SNPs. These results, therefore, provide knowledge, resources and molecular tools for efficient rice grain quality improvement.
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Affiliation(s)
- Jian-Min Song
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, USA; Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, Shandong 250100, China
| | - Muhammad Arif
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, USA; Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Jhang Road, P.O. Box 577, Faisalabad, Pakistan
| | - Meiping Zhang
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, USA.
| | - Sing-Hoi Sze
- Department of Computer Science and Engineering and Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX 77843, USA.
| | - Hong-Bin Zhang
- Department of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843-2474, USA.
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25
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Sun J, Yang L, Wang J, Liu H, Zheng H, Xie D, Zhang M, Feng M, Jia Y, Zhao H, Zou D. Identification of a cold-tolerant locus in rice (Oryza sativa L.) using bulked segregant analysis with a next-generation sequencing strategy. RICE (NEW YORK, N.Y.) 2018; 11:24. [PMID: 29671148 PMCID: PMC5906412 DOI: 10.1186/s12284-018-0218-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Accepted: 04/04/2018] [Indexed: 05/24/2023]
Abstract
BACKGROUND Cold stress can cause serious abiotic damage that limits the growth, development and yield of rice. Cold tolerance during the booting stage of rice is a key factor that can guarantee a high and stable yield under cold stress. The cold tolerance of rice is controlled by quantitative trait loci (QTLs). Based on the complex genetic basis of cold tolerance in rice, additional efforts are needed to detect reliable QTLs and identify candidate genes. In this study, recombinant inbred lines (RILs) derived from a cross between a cold sensitive variety, Dongnong422, and strongly cold-tolerant variety, Kongyu131, were used to screen for cold-tolerant loci at the booting stage of rice. RESULTS A novel major QTL, qPSST6, controlling the percent seed set under cold water treatment (PSST) under the field conditions of 17 °C cold water irrigation was located on the 28.4 cM interval on chromosome 6. Using the combination of bulked-segregant analysis (BSA) and next-generation sequencing (NGS) technology (Seq-BSA), a 1.81 Mb region that contains 269 predicted genes on chromosome 6 was identified as the candidate region of qPSST6. Two genes, LOC_Os06g39740 and LOC_Os06g39750, were annotated as "response to cold" by gene ontology (GO) analysis. qRT-PCR analysis revealed that LOC_Os06g39750 was strongly induced by cold stress. Haplotype analysis also demonstrate a key role of LOC_Os06g39750 in regulating the PSST of rice, suggesting that it was the candidate gene of qPSST6. CONCLUSIONS The information obtained in this study is useful for gene cloning of qPSST6 and for breeding cold-tolerant varieties of rice using marker assisted selection (MAS).
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Affiliation(s)
- Jian Sun
- College of Agriculture, Northeast Agricultural University, Harbin, 150030 China
| | - Luomiao Yang
- College of Agriculture, Northeast Agricultural University, Harbin, 150030 China
| | - Jingguo Wang
- College of Agriculture, Northeast Agricultural University, Harbin, 150030 China
| | - Hualong Liu
- College of Agriculture, Northeast Agricultural University, Harbin, 150030 China
| | - Hongliang Zheng
- College of Agriculture, Northeast Agricultural University, Harbin, 150030 China
| | - Dongwei Xie
- The Institute of Industrial Crops of Heilongjiang Academy of Agricultural Sciences, Harbin, 150086 China
| | - Minghui Zhang
- College of Life Science, Northeast Agricultural University, Harbin, 150030 China
| | - Mingfang Feng
- College of Life Science, Northeast Agricultural University, Harbin, 150030 China
| | - Yan Jia
- College of Agriculture, Northeast Agricultural University, Harbin, 150030 China
| | - Hongwei Zhao
- College of Agriculture, Northeast Agricultural University, Harbin, 150030 China
| | - Detang Zou
- College of Agriculture, Northeast Agricultural University, Harbin, 150030 China
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