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Fukunaga K, Abe A, Ito K, Oikawa K, Tsuji M, Kawase M. Latitudinal adaptation and dispersal pathway of foxtail millet suggested by geographical distribution of transposable elements inserted in the SiPRR37 gene. Genes Genet Syst 2024; 99:n/a. [PMID: 38797684 DOI: 10.1266/ggs.24-00023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024] Open
Abstract
We investigated the variation and geographical distribution of the Pseudo-regulator response 37 (Setaria italica PRR37; SiPRR37) gene, which is involved in heading time (photoperiodism) in foxtail millet. An allele of the SiPRR37 gene, in which an approximately 4.9-kb transposable element (designated TE1) is inserted (a loss-of-function or reduction-of-function type), is distributed sporadically in East Asia and broadly in Southeast Asia and South Asia, implying that this gene is important in latitudinal adaptation. In addition, we found a new allele of SiPRR37 with an insertion of a 360-bp TE (TE2) at this locus and investigated the geographical distribution of this new type. This SiPRR37 allele with TE2 is distributed in Japan, Korea, Nepal, Iran and Turkey. Both TE1 and TE2 are useful markers for tracing foxtail millet dispersal pathways in Asia.
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Affiliation(s)
- Kenji Fukunaga
- Faculty of Bioresource Sciences, Prefectural University of Hiroshima
| | | | | | | | - Masaya Tsuji
- Graduate School of Comprehensive Scientific Research, Graduate School of Prefectural University of Hiroshima
| | - Makoto Kawase
- Faculty of Agriculture, Tokyo University of Agriculture
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2
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Lai D, Zhang K, He Y, Fan Y, Li W, Shi Y, Gao Y, Huang X, He J, Zhao H, Lu X, Xiao Y, Cheng J, Ruan J, Georgiev MI, Fernie AR, Zhou M. Multi-omics identification of a key glycosyl hydrolase gene FtGH1 involved in rutin hydrolysis in Tartary buckwheat (Fagopyrum tataricum). PLANT BIOTECHNOLOGY JOURNAL 2024; 22:1206-1223. [PMID: 38062934 PMCID: PMC11022807 DOI: 10.1111/pbi.14259] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 10/16/2023] [Accepted: 11/20/2023] [Indexed: 04/18/2024]
Abstract
Rutin, a flavonoid rich in buckwheat, is important for human health and plant resistance to external stresses. The hydrolysis of rutin to quercetin underlies the bitter taste of Tartary buckwheat. In order to identify rutin hydrolysis genes, a 200 genotypes mini-core Tartary buckwheat germplasm resource was re-sequenced with 30-fold coverage depth. By combining the content of the intermediate metabolites of rutin metabolism with genome resequencing data, metabolite genome-wide association analyses (GWAS) eventually identified a glycosyl hydrolase gene FtGH1, which could hydrolyse rutin to quercetin. This function was validated both in Tartary buckwheat overexpression hairy roots and in vitro enzyme activity assays. Mutation of the two key active sites, which were determined by molecular docking and experimentally verified via overexpression in hairy roots and transient expression in tobacco leaves, exhibited abnormal subcellular localization, suggesting functional changes. Sequence analysis revealed that mutation of the FtGH1 promoter in accessions of two haplotypes might be necessary for enzymatic activity. Co-expression analysis and GWAS revealed that FtbHLH165 not only repressed FtGH1 expression, but also increased seed length. This work reveals a potential mechanism behind rutin metabolism, which should provide both theoretical support in the study of flavonoid metabolism and in the molecular breeding of Tartary buckwheat.
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Affiliation(s)
- Dili Lai
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
- College of AgricultureGuizhou UniversityGuiyangChina
| | - Kaixuan Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Yuqi He
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Yu Fan
- School of Food and Biological EngineeringChengdu UniversityChengduChina
| | - Wei Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Yaliang Shi
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Yuanfen Gao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Xu Huang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Jiayue He
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Hui Zhao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Xiang Lu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | - Yawen Xiao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
| | | | - Jingjun Ruan
- College of AgricultureGuizhou UniversityGuiyangChina
| | - Milen I. Georgiev
- Laboratory of Metabolomics, Institute of MicrobiologyBulgarian Academy of SciencesPlovdivBulgaria
- Center of Plant Systems Biology and BiotechnologyPlovdivBulgaria
| | - Alisdair R. Fernie
- Center of Plant Systems Biology and BiotechnologyPlovdivBulgaria
- Department of Molecular PhysiologyMax‐Planck‐Institute of Molecular Plant PhysiologyPotsdam‐GolmGermany
| | - Meiliang Zhou
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijingChina
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3
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Fukunaga K, Kawase M. Crop Evolution of Foxtail Millet. PLANTS (BASEL, SWITZERLAND) 2024; 13:218. [PMID: 38256771 PMCID: PMC10819197 DOI: 10.3390/plants13020218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 01/06/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024]
Abstract
Studies on the domestication, genetic differentiation, and crop evolution of foxtail millet are reviewed in this paper. Several genetic studies were carried out to elucidate the genetic relationships among foxtail millet accessions originating mainly from Eurasia based on intraspecific hybrid pollen semi-sterility, isozymes, DNA markers, and single-nucleotide polymorphisms. Most studies suggest that China is the center of diversity of foxtail millet, and landraces were categorized into geographical groups. These results indicate that this millet was domesticated in China and spread over Eurasia, but independent origin in other regions cannot be ruled out. Furthermore, the evolution of genes was reviewed (i.e., the Waxy gene conferring amylose content in the endosperm, the Si7PPO gene controlling polyphenol oxidase, the HD1 and SiPRR37 genes controlling heading time, the Sh1 and SvLes1 genes involved in grain shattering, and the C gene controlling leaf sheath pigmentation), and the variation and distribution of these genes suggested complex patterns of evolution under human and/or natural selection.
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Affiliation(s)
- Kenji Fukunaga
- Faculty of Life and Environmental Sciences, Prefectural University of Hiroshima, Shobara 727-0023, Japan
| | - Makoto Kawase
- Faculty of Agriculture, Tokyo University of Agriculture, Atsugi 243-0034, Japan
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4
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Pandey S, Singh A, Jaiswal P, Singh MK, Meena KR, Singh SK. The potentialities of omics resources for millet improvement. Funct Integr Genomics 2023; 23:210. [PMID: 37355501 DOI: 10.1007/s10142-023-01149-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 06/26/2023]
Abstract
Millets are nutrient-rich (nutri-rich) cereals with climate resilience attributes. However, its full productive potential is not realized due to the lack of a focused yield improvement approach, as evidenced by the available literature. Also, the lack of well-characterized genomic resources significantly limits millet improvement. But the recent availability of genomic data and advancement in omics tools has shown its enormous potential to enhance the efficiency and precision faced by conventional breeding in millet improvement. The development of high throughput genotyping platforms based on next-generation sequencing (NGS) has provided a low-cost method for genomic information, specifically for neglected nutri-rich cereals with the availability of a limited number of reference genome sequences. NGS has created new avenues for millet biotechnological interventions such as mutation-based study, GWAS, GS, and other omics technologies. The simultaneous discovery of high-throughput markers and multiplexed genotyping platform has aggressively aided marker-assisted breeding for millet improvement. Therefore, omics technology offers excellent opportunities to explore and combine useful variations for targeted traits that could impart high nutritional value to high-yielding cultivars under changing climatic conditions. In millet improvement, an in-depth account of NGS, integrating genomics data with different biotechnology tools, is reviewed in this context.
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Affiliation(s)
- Saurabh Pandey
- Department of Agricultural, Guru Nanak Dev University, Amritsar, Punjab, 143005, India
| | - Ashutosh Singh
- Centre for Advanced Studies on Climate Change, RPCAU, Pusa, Samastipur, Bihar, 848125, India.
| | - Priyanka Jaiswal
- Lovely Professional University, Jalandhar - Delhi G.T. Road, Phagwara, Punjab, 144411, India
| | - Mithilesh Kumar Singh
- Department of Genetics and Plant Breeding, RPCAU, Pusa, Samastipur, Bihar, 848125, India
| | - Khem Raj Meena
- Department of Biotechnology, School of Life Sciences, Central University of Rajasthan, Kishangarh, Rajasthan, 305817, India
| | - Satish Kumar Singh
- Department of Genetics and Plant Breeding, RPCAU, Pusa, Samastipur, Bihar, 848125, India
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5
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He Q, Tang S, Zhi H, Chen J, Zhang J, Liang H, Alam O, Li H, Zhang H, Xing L, Li X, Zhang W, Wang H, Shi J, Du H, Wu H, Wang L, Yang P, Xing L, Yan H, Song Z, Liu J, Wang H, Tian X, Qiao Z, Feng G, Guo R, Zhu W, Ren Y, Hao H, Li M, Zhang A, Guo E, Yan F, Li Q, Liu Y, Tian B, Zhao X, Jia R, Feng B, Zhang J, Wei J, Lai J, Jia G, Purugganan M, Diao X. A graph-based genome and pan-genome variation of the model plant Setaria. Nat Genet 2023:10.1038/s41588-023-01423-w. [PMID: 37291196 DOI: 10.1038/s41588-023-01423-w] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 05/08/2023] [Indexed: 06/10/2023]
Abstract
Setaria italica (foxtail millet), a founder crop of East Asian agriculture, is a model plant for C4 photosynthesis and developing approaches to adaptive breeding across multiple climates. Here we established the Setaria pan-genome by assembling 110 representative genomes from a worldwide collection. The pan-genome is composed of 73,528 gene families, of which 23.8%, 42.9%, 29.4% and 3.9% are core, soft core, dispensable and private genes, respectively; 202,884 nonredundant structural variants were also detected. The characterization of pan-genomic variants suggests their importance during foxtail millet domestication and improvement, as exemplified by the identification of the yield gene SiGW3, where a 366-bp presence/absence promoter variant accompanies gene expression variation. We developed a graph-based genome and performed large-scale genetic studies for 68 traits across 13 environments, identifying potential genes for millet improvement at different geographic sites. These can be used in marker-assisted breeding, genomic selection and genome editing to accelerate crop improvement under different climatic conditions.
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Affiliation(s)
- Qiang He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Sha Tang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hui Zhi
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jinfeng Chen
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jun Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hongkai Liang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ornob Alam
- Center for Genomics and Systems Biology, New York University, New York City, NY, USA
| | - Hongbo Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Hui Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Agronomy, Northwest A & F University, Yangling, China
| | - Lihe Xing
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xukai Li
- College of Life Sciences, Shanxi Agricultural University, Taigu, China
| | - Wei Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Hailong Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Junpeng Shi
- State Key Laboratory of Plant Physiology and Biochemistry & National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, China
| | - Huilong Du
- School of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding, China
| | - Hongpo Wu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Liwei Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Ping Yang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Lu Xing
- Anyang Academy of Agriculture Sciences, Anyang, China
| | - Hongshan Yan
- Anyang Academy of Agriculture Sciences, Anyang, China
| | | | - Jinrong Liu
- Anyang Academy of Agriculture Sciences, Anyang, China
| | - Haigang Wang
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Xiang Tian
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Zhijun Qiao
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, China
| | - Guojun Feng
- Research Institute of Cereal Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
| | - Ruifeng Guo
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Wenjuan Zhu
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Yuemei Ren
- Institute of High Latitude Crops, Shanxi Agricultural University, Datong, China
| | - Hongbo Hao
- Institute of Dry-Land Farming, Hebei Academy of Agricultural and Forestry Sciences, Hengshui, China
| | - Mingzhe Li
- Institute of Dry-Land Farming, Hebei Academy of Agricultural and Forestry Sciences, Hengshui, China
| | - Aiying Zhang
- Millet Research Institute, Shanxi Agricultural University, Changzhi, China
| | - Erhu Guo
- Millet Research Institute, Shanxi Agricultural University, Changzhi, China
| | - Feng Yan
- Qiqihar Sub-Academy of Heilongjiang Academy of Agricultural Sciences, Qiqihar, China
| | - Qingquan Li
- Qiqihar Sub-Academy of Heilongjiang Academy of Agricultural Sciences, Qiqihar, China
| | - Yanli Liu
- Cangzhou Academy of Agriculture and Forestry Sciences, Cangzhou, China
| | - Bohong Tian
- Cangzhou Academy of Agriculture and Forestry Sciences, Cangzhou, China
| | - Xiaoqin Zhao
- Dingxi Academy of Agricultural Sciences, Dingxi, China
| | - Ruiling Jia
- Dingxi Academy of Agricultural Sciences, Dingxi, China
| | - Baili Feng
- College of Agronomy, Northwest A & F University, Yangling, China
| | - Jiewei Zhang
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jianhua Wei
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Jinsheng Lai
- State Key Laboratory of Plant Physiology and Biochemistry & National Maize Improvement Center, Department of Plant Genetics and Breeding, China Agricultural University, Beijing, China
| | - Guanqing Jia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
| | - Michael Purugganan
- Center for Genomics and Systems Biology, New York University, New York City, NY, USA.
- Center for Genomics and Systems Biology, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates.
| | - Xianmin Diao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
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6
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Tang S, Zhao Z, Liu X, Sui Y, Zhang D, Zhi H, Gao Y, Zhang H, Zhang L, Wang Y, Zhao M, Li D, Wang K, He Q, Zhang R, Zhang W, Jia G, Tang W, Ye X, Wu C, Diao X. An E2-E3 pair contributes to seed size control in grain crops. Nat Commun 2023; 14:3091. [PMID: 37248257 DOI: 10.1038/s41467-023-38812-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 05/15/2023] [Indexed: 05/31/2023] Open
Abstract
Understanding the molecular mechanisms that regulate grain yield is important for improving agricultural productivity. Protein ubiquitination controls various aspects of plant growth but lacks understanding on how E2-E3 enzyme pairs impact grain yield in major crops. Here, we identified a RING-type E3 ligase SGD1 and its E2 partner SiUBC32 responsible for grain yield control in Setaria italica. The conserved role of SGD1 was observed in wheat, maize, and rice. Furthermore, SGD1 ubiquitinates the brassinosteroid receptor BRI1, stabilizing it and promoting plant growth. Overexpression of an elite SGD1 haplotype improved grain yield by about 12.8% per plant, and promote complex biological processes such as protein processing in endoplasmic reticulum, stress responses, photosystem stabilization, and nitrogen metabolism. Our research not only identifies the SiUBC32-SGD1-BRI1 genetic module that contributes to grain yield improvement but also provides a strategy for exploring key genes controlling important traits in Poaceae crops using the Setaria model system.
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Affiliation(s)
- Sha Tang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhiying Zhao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiaotong Liu
- Key Laboratory of Molecular and Cellular Biology of Ministry of Education, Hebei Collaboration Innovation Center for Cell Signaling, Hebei Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, 050024, China
- Key Laboratory of Agricultural Water Resources, Hebei Laboratory of Agricultural, Water-Saving, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050021, China
| | - Yi Sui
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Dandan Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hui Zhi
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yuanzhu Gao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hui Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Linlin Zhang
- College of Biological Sciences, China Agricultural University, Beijing, 100193, China
| | - Yannan Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Meicheng Zhao
- Key Laboratory of Agricultural Water Resources, Hebei Laboratory of Agricultural, Water-Saving, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, 050021, China
| | - Dongdong Li
- College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China
| | - Ke Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Qiang He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Renliang Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wei Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Guanqing Jia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wenqiang Tang
- Key Laboratory of Molecular and Cellular Biology of Ministry of Education, Hebei Collaboration Innovation Center for Cell Signaling, Hebei Key Laboratory of Molecular and Cellular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, 050024, China
| | - Xingguo Ye
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chuanyin Wu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xianmin Diao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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7
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Huang YC, Wang YT, Choong YC, Huang HY, Chen YR, Hsieh TF, Lin YR. How ambient temperature affects the heading date of foxtail millet ( Setaria italica). FRONTIERS IN PLANT SCIENCE 2023; 14:1147756. [PMID: 36938030 PMCID: PMC10018198 DOI: 10.3389/fpls.2023.1147756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/10/2023] [Indexed: 06/18/2023]
Abstract
Foxtail millet (Setaria italica), a short-day plant, is one of the important crops for food security encountering climate change, particularly in regions where it is a staple food. Under the short-day condition in Taiwan, the heading dates (HDs) of foxtail millet accessions varied by genotypes and ambient temperature (AT). The allelic polymorphisms in flowering time (FT)-related genes were associated with HD variations. AT, in the range of 13°C-30°C that was based on field studies at three different latitudes in Taiwan and observations in the phytotron at four different AT regimes, was positively correlated with growth rate, and high AT promoted HD. To elucidate the molecular mechanism of foxtail millet HD, the expression of 14 key FT-related genes in four accessions at different ATs was assessed. We found that the expression levels of SiPRR95, SiPRR1, SiPRR59, SiGhd7-2, SiPHYB, and SiGhd7 were negatively correlated with AT, whereas the expression levels of SiEhd1, SiFT11, and SiCO4 were positively correlated with AT. Furthermore, the expression levels of SiGhd7-2, SiEhd1, SiFT, and SiFT11 were significantly associated with HD. A coexpression regulatory network was identified that shown genes involved in the circadian clock, light and temperature signaling, and regulation of flowering, but not those involved in photoperiod pathway, interacted and were influenced by AT. The results reveal how gene × temperature and gene × gene interactions affect the HD in foxtail millet and could serve as a foundation for breeding foxtail millet cultivars for shift production to increase yield in response to global warming.
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Affiliation(s)
- Ya-Chen Huang
- Department of Agronomy, National Taiwan University, Taipei, Taiwan
| | - Yu-tang Wang
- Department of Agronomy, National Taiwan University, Taipei, Taiwan
| | - Yee-ching Choong
- Department of Agronomy, National Taiwan University, Taipei, Taiwan
| | - Hsin-ya Huang
- Department of Agronomy, National Taiwan University, Taipei, Taiwan
| | - Yu-ru Chen
- Crop Science Division, Taiwan Agricultural Research Institute, Taichung, Taiwan
| | - Tzung-Fu Hsieh
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States
- Plants for Human Health Institute, North Carolina State University, Kannapolis, NC, United States
| | - Yann-rong Lin
- Department of Agronomy, National Taiwan University, Taipei, Taiwan
- Headquarters, World Vegetable Center, Tainan, Taiwan
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8
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Aggarwal PR, Pramitha L, Choudhary P, Singh RK, Shukla P, Prasad M, Muthamilarasan M. Multi-omics intervention in Setaria to dissect climate-resilient traits: Progress and prospects. FRONTIERS IN PLANT SCIENCE 2022; 13:892736. [PMID: 36119586 PMCID: PMC9470963 DOI: 10.3389/fpls.2022.892736] [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: 03/09/2022] [Accepted: 08/05/2022] [Indexed: 06/15/2023]
Abstract
Millets constitute a significant proportion of underutilized grasses and are well known for their climate resilience as well as excellent nutritional profiles. Among millets, foxtail millet (Setaria italica) and its wild relative green foxtail (S. viridis) are collectively regarded as models for studying broad-spectrum traits, including abiotic stress tolerance, C4 photosynthesis, biofuel, and nutritional traits. Since the genome sequence release, the crop has seen an exponential increase in omics studies to dissect agronomic, nutritional, biofuel, and climate-resilience traits. These studies have provided first-hand information on the structure, organization, evolution, and expression of several genes; however, knowledge of the precise roles of such genes and their products remains elusive. Several open-access databases have also been instituted to enable advanced scientific research on these important crops. In this context, the current review enumerates the contemporary trend of research on understanding the climate resilience and other essential traits in Setaria, the knowledge gap, and how the information could be translated for the crop improvement of related millets, biofuel crops, and cereals. Also, the review provides a roadmap for studying other underutilized crop species using Setaria as a model.
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Affiliation(s)
- Pooja Rani Aggarwal
- Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, India
| | - Lydia Pramitha
- School of Agriculture and Biosciences, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India
| | - Pooja Choudhary
- Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, India
| | | | - Pooja Shukla
- Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, India
| | - Manoj Prasad
- Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, India
- National Institute of Plant Genome Research (NIPGR), New Delhi, India
| | - Mehanathan Muthamilarasan
- Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, India
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9
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Li C, Ma J, Wang G, Li H, Wang H, Wang G, Jiang Y, Liu Y, Liu G, Liu G, Cheng R, Wang H, Wei J, Yao L. Exploring the SiCCT Gene Family and Its Role in Heading Date in Foxtail Millet. FRONTIERS IN PLANT SCIENCE 2022; 13:863298. [PMID: 35755676 PMCID: PMC9218912 DOI: 10.3389/fpls.2022.863298] [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: 01/27/2022] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
CCT transcription factors are involved in the regulation of photoperiod and abiotic stress in Arabidopsis and rice. It is not clear that how CCT gene family expand and regulate heading date in foxtail millet. In this study, we conducted a systematic analysis of the CCT gene family in foxtail millet. Thirty-nine CCT genes were identified and divided into four subfamilies based on functional motifs. Analysis showed that dispersed duplication played a predominant role in the expansion of CCT genes during evolution. Nucleotide diversity analysis suggested that genes in CONSTANS (COL)-like, CCT MOTIF FAMILY (CMF)-like, and pseudoresponse response regulator (PRR)-like subfamilies were subjected to selection. Fifteen CCT genes were colocalized with previous heading date quantitative trait loci (QTL) and genome-wide association analysis (GWAS) signals. Transgenic plants were then employed to confirm that overexpression of the CCT gene SiPRR37 delayed the heading date and increased plant height. Our study first investigated the characterization and expansion of the CCT family in foxtail millet and demonstrated the role of SiPRR37. These results lay a significant foundation for further research on the function of CCT genes and provide a cue for the regulation of heading date.
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Affiliation(s)
- Congcong Li
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Institute of Biotechnology Research, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing, China
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jian Ma
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Institute of Vegetable Research, Beijing Key Laboratory of Vegetable Germplasm Improvement, National Engineering Research Center for Vegetables, Beijing, China
| | - Genping Wang
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China
| | - Haiquan Li
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China
| | - Hailong Wang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Institute of Biotechnology Research, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing, China
| | - Guoliang Wang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Institute of Biotechnology Research, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing, China
| | - Yanmiao Jiang
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China
| | - Yanan Liu
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China
| | - Guiming Liu
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Institute of Biotechnology Research, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing, China
| | - Guoqing Liu
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China
| | - Ruhong Cheng
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, China
| | - Huan Wang
- Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jianhua Wei
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Institute of Biotechnology Research, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing, China
| | - Lei Yao
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Institute of Biotechnology Research, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing, China
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10
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Tang S, Shahriari M, Xiang J, Pasternak T, Igolkina A, Aminizade S, Zhi H, Gao Y, Roodbarkelari F, Sui Y, Jia G, Wu C, Zhang L, Zhao L, Li X, Meshcheryakov G, Samsonova M, Diao X, Palme K, Teale W. The role of AUX1 during lateral root development in the domestication of the model C4 grass Setaria italica. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:2021-2034. [PMID: 34940828 DOI: 10.1093/jxb/erab556] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 12/22/2021] [Indexed: 06/14/2023]
Abstract
C4 photosynthesis increases the efficiency of carbon fixation by spatially separating high concentrations of molecular oxygen from Rubisco. The specialized leaf anatomy required for this separation evolved independently many times. The morphology of C4 root systems is also distinctive and adapted to support high rates of photosynthesis; however, little is known about the molecular mechanisms that have driven the evolution of C4 root system architecture. Using a mutant screen in the C4 model plant Setaria italica, we identify Siaux1-1 and Siaux1-2 as root system architecture mutants. Unlike in S. viridis, AUX1 promotes lateral root development in S. italica. A cell by cell analysis of the Siaux1-1 root apical meristem revealed changes in the distribution of cell volumes in all cell layers and a dependence of the frequency of protophloem and protoxylem strands on SiAUX1. We explore the molecular basis of the role of SiAUX1 in seedling development using an RNAseq analysis of wild-type and Siaux1-1 plants and present novel targets for SiAUX1-dependent gene regulation. Using a selection sweep and haplotype analysis of SiAUX1, we show that Hap-2412TT in the promoter region of SiAUX1 is an allele which is associated with lateral root number and has been strongly selected for during Setaria domestication.
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Affiliation(s)
- Sha Tang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Mojgan Shahriari
- Institute of Biology II, University of Freiburg, Schänzlestrasse 1, D-79104 Freiburg, Germany
| | - Jishan Xiang
- Academy of Agricultural Sciences/Key Laboratory of Regional Ecological Protection & Agricultural and Animal Husbandry Development, Chifeng University, Chifeng, 024000, Inner Mongolia, China
| | - Taras Pasternak
- Institute of Biology II, University of Freiburg, Schänzlestrasse 1, D-79104 Freiburg, Germany
| | - Anna Igolkina
- Department of Computational Biology, Center for Advanced Studies, St. Petersburg State Polytechnic University, St. Petersburg, 195259, Russia
| | | | - Hui Zhi
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yuanzhu Gao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Farshad Roodbarkelari
- Institute of Biology III, University of Freiburg, Schänzlestrasse 1, D-79104 Freiburg, Germany
| | - Yi Sui
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Guanqing Jia
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chuanyin Wu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Linlin Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Lirong Zhao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xugang Li
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Daizong Street 61, Tai'an, 271018, China
| | - Georgy Meshcheryakov
- Department of Computational Biology, Center for Advanced Studies, St. Petersburg State Polytechnic University, St. Petersburg, 195259, Russia
| | - Maria Samsonova
- Department of Computational Biology, Center for Advanced Studies, St. Petersburg State Polytechnic University, St. Petersburg, 195259, Russia
| | - Xianmin Diao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Klaus Palme
- Institute of Biology II, University of Freiburg, Schänzlestrasse 1, D-79104 Freiburg, Germany
- Centre of Biological Systems Analysis and BIOSS Centre for Biological Signalling Studies, University of Freiburg, D-79104 Freiburg, Germany
| | - William Teale
- Institute of Biology II, University of Freiburg, Schänzlestrasse 1, D-79104 Freiburg, Germany
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11
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Recombinant inbred lines and next-generation sequencing enable rapid identification of candidate genes involved in morphological and agronomic traits in foxtail millet. Sci Rep 2022; 12:218. [PMID: 34997038 PMCID: PMC8742101 DOI: 10.1038/s41598-021-04012-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 12/14/2021] [Indexed: 11/17/2022] Open
Abstract
We constructed recombinant inbred lines (RILs) between a Japanese and a Taiwanese landrace of foxtail millet and employed next-generation sequencing, such as flexible ddRAD-seq and Nanopore sequencing to identify the candidate genes involved in the crop evolution of foxtail millet. We successfully constructed a linkage map using flexible ddRAD-seq with parents and RILs and detected major QTLs for each of three traits: leaf sheath colors, spikelet-tipped bristles (stb), and days to heading (DTH). (1) For leaf sheath colors, we identified the C gene on chromosome IV. (2) We identified a homeobox (HOX14) gene for stb on chromosome II, which shows homology with HvVrs1 in barley. (3) Finally, we identified a QTL with a large effect on DTH on chromosome II. A parent of the RILs from Taiwan and Yugu1 had a Harbinger-like TE in intron 3 of this gene. We also investigated the geographical distribution of the TE insertion type of this gene and found that the insertion type is distributed in the northern part of East Asia and intensively in South and Southeast Asia, suggesting that loss/reduction of function of this gene plays an important role in spreading into the northern part of East Asia and subtropical and tropical zones.
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12
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Zhang H, Wang J, Zhao J, Sun C, Wang J, Wang Q, Qu F, Yun X, Feng Z. Integrated Lipidomic and Transcriptomic Analysis Reveals Lipid Metabolism in Foxtail Millet ( Setaria italica). Front Genet 2021; 12:758003. [PMID: 34868233 PMCID: PMC8635157 DOI: 10.3389/fgene.2021.758003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 10/27/2021] [Indexed: 11/28/2022] Open
Abstract
Foxtail millet (Setaria italica) as the main traditional crop in China, is rich in many kinds of high quality fatty acids (FAs). In this study, Ultra-high performance liquid chromatography-time-of-flight-tandem mass spectrometer (UHPLC-Q-TOF-MS/MS) was used to determine the lipids of JG35 and JG39. A total of 2,633 lipid molecules and 31 lipid subclasses were identified, mainly including thirteen kinds of glycerophospholipids (GP), eleven kinds of glycerolipids (GL), four kinds of sphingolipids (SP), two kinds of fatty acyls (FA) and one kind of sterol (ST). Among them JG35 had higher contents of diacylglycerols (DG) and ceramides (Cer), while triacylglycerols, phosphatidyl ethanolamine, phosphatidic acid, sterol, fatty acyls and pardiolipin (TG, PE, PA, ST, FA and CL) were higher in JG39. Meantime, the correlation analysis of lipidomics and transcriptomics was used to map the main differential lipid metabolism pathways of foxtail millet. The results shown that a differentially expressed genes (DEGs) of FATA/B for the synthesis of FA was highly expressed in JG35, and the related genes for the synthesis DG (ACCase, KAS, HAD, KCS, LACS and GAPT), TG (DGAT and PDAT) and CL (CLS) were highly expressed in JG39. The results of this study will provide a theoretical basis for the future study of lipidomics, improvement of lipid quality directionally and breeding of idiosyncratic quality varieties in foxtail millet.
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Affiliation(s)
- Haiying Zhang
- College of Agriculture, Shanxi Agricultural University, Taigu, China
| | - Junyou Wang
- College of Agriculture, Shanxi Agricultural University, Taigu, China
| | - Jing Zhao
- College of Agriculture, Shanxi Agricultural University, Taigu, China
| | - Changqing Sun
- College of Agriculture, Shanxi Agricultural University, Taigu, China
| | - Jin Wang
- College of Agriculture, Shanxi Agricultural University, Taigu, China
| | - Qian Wang
- Hebei Zhihai Technology Co., Ltd., Xingtai, China
| | - Fei Qu
- College of Agriculture, Shanxi Agricultural University, Taigu, China
| | - Xiaodong Yun
- College of Agriculture, Shanxi Agricultural University, Taigu, China
| | - Zhiwei Feng
- Shanxi Institute of Organic Dryland Farming, Shanxi Agricultural University, Taiyuan, China
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13
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Xie H, Hou J, Fu N, Wei M, Li Y, Yu K, Song H, Li S, Liu J. Identification of QTL related to anther color and hull color by RAD sequencing in a RIL population of Setaria italica. BMC Genomics 2021; 22:556. [PMID: 34281524 PMCID: PMC8290542 DOI: 10.1186/s12864-021-07882-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 06/30/2021] [Indexed: 11/13/2022] Open
Abstract
Background Foxtail millet (Setaria italica) is one of the oldest domesticated crops and has been considered as an ideal model plant for C4 grasses. It has abundant type of anther and hull colors which is not only a most intuitive morphological marker for color selection in seed production, but also has very important biological significance for the study of molecular mechanism of regulating the synthesis and metabolism of flavonoids and lignin. However, only a few genetic studies have been reported for anther color and hull color in foxtail millet. Results Quantitative trait loci (QTL) analysis for anther color and hull color was conducted using 400 F6 and F7 recombinant inbreed lines (RILs) derived from a cross between parents Yugu18 and Jigu19. Using restriction-site associated DNA sequencing, 43,001 single-nucleotide polymorphisms (SNPs) and 3,022 indels were identified between both the parents and the RILs. A total of 1,304 bin markers developed from the SNPs and indels were used to construct a genetic map that spanned 2196 cM of the foxtail millet genome with an average of 1.68 cM/bin. Combined with this genetic map and the phenotypic data observed in two locations for two years, two QTL located on chromosome 6 (Chr6) in a 1.215-Mb interval (33,627,819–34,877,940 bp) for anther color (yellow - white) and three QTL located on Chr1 in a 6.23-Mb interval (1–6,229,734 bp) for hull color (gold-reddish brown) were detected. To narrow the QTL regions identified from the genetic map and QTL analysis, we developed a new method named “inconsistent rate analysis” and efficiently narrowed the QTL regions of anther color into a 60-kb interval (34.13–34.19 Mb) in Chr6, and narrowed the QTL regions of hull color into 70-kb (5.43–5.50 Mb) and 30-kb (5.69–5.72 Mb) intervals in Chr1. Two genes (Seita.6G228600.v2.2 and Seita.6G228700.v2.2) and a cinnamyl alcohol dehydrogenase (CAD) gene (Seita.1G057300.v2.2) with amino acid changes between the parents detected by whole-genome resequencing were identified as candidate genes for anther and hull color, respectively. Conclusions This work presents the related QTL and candidate genes of anther and hull color in foxtail millet and developed a new method named inconsistent rate analysis to detect the chromosome fragments linked with the quality trait in RILs. This is the first study of the QTL related to hull color in foxtail millet and clarifying that the CAD gene (Seita.1G057300.v2.2) is the key gene responsible for this trait. It lays the foundation for further cloning of the functional genes and provides a powerful tool to detect the chromosome fragments linked with quality traits in RILs. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07882-x.
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Affiliation(s)
- Huifang Xie
- Anyang Academy of Agriculture Sciences, 455000, Anyang, Henan, China
| | - Junliang Hou
- BGI Institute of Applied Agriculture, BGI-Shenzhen, 518120, Shenzhen, Guangdong, China
| | - Nan Fu
- Anyang Academy of Agriculture Sciences, 455000, Anyang, Henan, China
| | - Menghan Wei
- Anyang Academy of Agriculture Sciences, 455000, Anyang, Henan, China
| | - Yunfei Li
- BGI Institute of Applied Agriculture, BGI-Shenzhen, 518120, Shenzhen, Guangdong, China
| | - Kang Yu
- BGI Institute of Applied Agriculture, BGI-Shenzhen, 518120, Shenzhen, Guangdong, China
| | - Hui Song
- Anyang Academy of Agriculture Sciences, 455000, Anyang, Henan, China
| | - Shiming Li
- BGI Institute of Applied Agriculture, BGI-Shenzhen, 518120, Shenzhen, Guangdong, China.
| | - Jinrong Liu
- Anyang Academy of Agriculture Sciences, 455000, Anyang, Henan, China.
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14
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Zhang H, Tang S, Schnable JC, He Q, Gao Y, Luo M, Jia G, Feng B, Zhi H, Diao X. Genome-Wide DNA Polymorphism Analysis and Molecular Marker Development for the Setaria italica Variety "SSR41" and Positional Cloning of the Setaria White Leaf Sheath Gene SiWLS1. FRONTIERS IN PLANT SCIENCE 2021; 12:743782. [PMID: 34858451 PMCID: PMC8632227 DOI: 10.3389/fpls.2021.743782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 10/13/2021] [Indexed: 05/03/2023]
Abstract
Genome-wide DNA polymorphism analysis and molecular marker development are important for forward genetics research and DNA marker-assisted breeding. As an ideal model system for Panicoideae grasses and an important minor crop in East Asia, foxtail millet (Setaria italica) has a high-quality reference genome as well as large mutant libraries based on the "Yugu1" variety. However, there is still a lack of genetic and mutation mapping tools available for forward genetics research on S. italica. Here, we screened another S. italica genotype, "SSR41", which is morphologically similar to, and readily cross-pollinates with, "Yugu1". High-throughput resequencing of "SSR41" identified 1,102,064 reliable single nucleotide polymorphisms (SNPs) and 196,782 insertions/deletions (InDels) between the two genotypes, indicating that these two genotypes have high genetic diversity. Of the 8,361 high-quality InDels longer than 20 bp that were developed as molecular markers, 180 were validated with 91.5% accuracy. We used "SSR41" and these developed molecular markers to map the white leaf sheath gene SiWLS1. Further analyses showed that SiWLS1 encodes a chloroplast-localized protein that is involved in the regulation of chloroplast development in bundle sheath cells in the leaf sheath in S. italica and is related to sensitivity to heavy metals. Our study provides the methodology and an important resource for forward genetics research on Setaria.
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Affiliation(s)
- Hui Zhang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, China
| | - Sha Tang
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - James C. Schnable
- Department of Agronomy and Horticulture, University of Nebraska–Lincoln, Lincoln, NE, United States
| | - Qiang He
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yuanzhu Gao
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Mingzhao Luo
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guanqing Jia
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Baili Feng
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, China
| | - Hui Zhi
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xianmin Diao
- Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
- *Correspondence: Xianmin Diao,
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