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Luo B, Ma P, Zhang C, Zhang X, Li J, Ma J, Han Z, Zhang S, Yu T, Zhang G, Zhang H, Zhang H, Li B, Guo J, Ge P, Lan Y, Liu D, Wu L, Gao D, Gao S, Su S, Gao S. Mining for QTL controlling maize low-phosphorus response genes combined with deep resequencing of RIL parental genomes and in silico GWAS analysis. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:190. [PMID: 39043952 DOI: 10.1007/s00122-024-04696-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 07/17/2024] [Indexed: 07/25/2024]
Abstract
KEY MESSAGE Extensive and comprehensive phenotypic data from a maize RIL population under both low- and normal-Pi treatments were used to conduct QTL mapping. Additionally, we integrated parental resequencing data from the RIL population, GWAS results, and transcriptome data to identify candidate genes associated with low-Pi stress in maize. Phosphorus (Pi) is one of the essential nutrients that greatly affect the maize yield. However, the genes underlying the QTL controlling maize low-Pi response remain largely unknown. In this study, a total of 38 traits at both seedling and maturity stages were evaluated under low- and normal-Pi conditions using a RIL population constructed from X178 (tolerant) and 9782 (sensitive), and most traits varied significantly between low- and normal-Pi treatments. Twenty-nine QTLs specific to low-Pi conditions were identified after excluding those with common intervals under both low- and normal-Pi conditions. Furthermore, 45 additional QTLs were identified based on the index value ((Trait_under_LowPi-Trait_under_NormalPi)/Trait_under_NormalPi) of each trait. These 74 QTLs collectively were classified as Pi-dependent QTLs. Additionally, 39 Pi-dependent QTLs were clustered in nine HotspotQTLs. The Pi-dependent QTL interval contained 19,613 unique genes, 6,999 of which exhibited sequence differences with non-synonymous mutation sites between X178 and 9782. Combined with in silico GWAS results, 277 consistent candidate genes were identified, with 124 genes located within the HotspotQTL intervals. The transcriptome analysis revealed that 21 genes, including the Pi transporter ZmPT7 and the strigolactones pathway-related gene ZmPDR1, exhibited consistent low-Pi stress response patterns across various maize inbred lines or tissues. It is noteworthy that ZmPDR1 in maize roots can be sharply up-regulated by low-Pi stress, suggesting its potential importance as a candidate gene for responding to low-Pi stress through the strigolactones pathway.
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Affiliation(s)
- Bowen Luo
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, 611130, Sichuan, China
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Peng Ma
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
- Mianyang Academy of Agricultural Sciences, Mianyang, 621023, Sichuan, China
- Crop Characteristic Resources Creation and Utilization Key Laboratory of Sichuan Province, Chengdu, China
| | - Chong Zhang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Xiao Zhang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Jing Li
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Junchi Ma
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Zheng Han
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Shuhao Zhang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Ting Yu
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Guidi Zhang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Hongkai Zhang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Haiying Zhang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Binyang Li
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Jia Guo
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Ping Ge
- SaileGene Inc, Beijing, 100020, China
| | - Yuzhou Lan
- Department of Plant Breeding, The Swedish University of Agricultural Sciences, P.O. Box 190, 23422, Lomma, Sweden
| | - Dan Liu
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Ling Wu
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Duojiang Gao
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Shiqiang Gao
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China
| | - Shunzong Su
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Shibin Gao
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, 611130, Sichuan, China.
- Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
- Ministry of Agriculture, Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Chengdu, 611130, Sichuan, China.
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2
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Luo B, Sahito JH, Zhang H, Zhao J, Yang G, Wang W, Guo J, Zhang S, Ma P, Nie Z, Zhang X, Liu D, Wu L, Gao D, Gao S, Su S, Gishkori ZGN, Gao S. SPX family response to low phosphorus stress and the involvement of ZmSPX1 in phosphorus homeostasis in maize. FRONTIERS IN PLANT SCIENCE 2024; 15:1385977. [PMID: 39040504 PMCID: PMC11260721 DOI: 10.3389/fpls.2024.1385977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 06/17/2024] [Indexed: 07/24/2024]
Abstract
Phosphorus (P) is a crucial macronutrient for plant growth and development, and low-Pi stress poses a significant limitation to maize production. While the role of the SPX domain in encoding proteins involved in phosphate (Pi) homeostasis and signaling transduction has been extensively studied in other model plants, the molecular and functional characteristics of the SPX gene family members in maize remain largely unexplored. In this study, we identified six SPX members, and the phylogenetic analysis of ZmSPXs revealed a close relationship with SPX genes in rice. The promoter regions of ZmSPXs were abundant in biotic and abiotic stress-related elements, particularly associated with various hormone signaling pathways, indicating potential intersections between Pi signaling and hormone signaling pathways. Additionally, ZmSPXs displayed tissue-specific expression patterns, with significant and differential induction in anthers and roots, and were localized to the nucleus and cytoplasm. The interaction between ZmSPXs and ZmPHRs was established via yeast two-hybrid assays. Furthermore, overexpression of ZmSPX1 enhanced root sensitivity to Pi deficiency and high-Pi conditions in Arabidopsis thaliana. Phenotypic identification of the maize transgenic lines demonstrated the negative regulatory effect on the P concentration of stems and leaves as well as yield. Notably, polymorphic sites including 34 single-nucleotide polymorphisms (SNPs) and seven insertions/deletions (InDels) in ZmSPX1 were significantly associated with 16 traits of low-Pi tolerance index. Furthermore, significant sites were classified into five haplotypes, and haplotype5 can enhance biomass production by promoting root development. Taken together, our results suggested that ZmSPX family members possibly play a pivotal role in Pi stress signaling in plants by interacting with ZmPHRs. Significantly, ZmSPX1 was involved in the Pi-deficiency response verified in transgenic Arabidopsis and can affect the Pi concentration of maize tissues and yield. This work lays the groundwork for deeper exploration of the maize SPX family and could inform the development of maize varieties with improved Pi efficiency.
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Affiliation(s)
- Bowen Luo
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, Sichuan, China
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Javed Hussain Sahito
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- National Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henen Agricultural University, Zhengzhou, China
| | - Haiying Zhang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Jin Zhao
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Guohui Yang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Wei Wang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Jianyong Guo
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Shuhao Zhang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Peng Ma
- Maize Research Institute, Mianyang Academy of Agricultural Sciences, Mianyang, Sichuan, China
| | - Zhi Nie
- Sichuan Academy of Agricultural Sciences, Biotechnology and Nuclear Technology Research Institute, Chengdu, Sichuan, China
| | - Xiao Zhang
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Dan Liu
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Ling Wu
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Duojiang Gao
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Shiqiang Gao
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
| | - Shunzong Su
- College of Resources, Sichuan Agricultural University, Chengdu, Sichuan, China
| | | | - Shibin Gao
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Chengdu, Sichuan, China
- Maize Research Institute, Sichuan Agricultural University, Chengdu, Sichuan, China
- Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Chengdu, Sichuan, China
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3
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Liu Y, Song P, Yan M, Luo J, Wang Y, Fan F. Integrated Transcriptome and Proteome Analysis Reveals the Regulatory Mechanism of Root Growth by Protein Disulfide Isomerase in Arabidopsis. Int J Mol Sci 2024; 25:3596. [PMID: 38612408 PMCID: PMC11011405 DOI: 10.3390/ijms25073596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/14/2024] [Accepted: 03/20/2024] [Indexed: 04/14/2024] Open
Abstract
Protein disulfide isomerase (PDI, EC 5.3.4.1) is a thiol-disulfide oxidoreductase that plays a crucial role in catalyzing the oxidation and rearrangement of disulfides in substrate proteins. In plants, PDI is primarily involved in regulating seed germination and development, facilitating the oxidative folding of storage proteins in the endosperm, and also contributing to the formation of pollen. However, the role of PDI in root growth has not been previously studied. This research investigated the impact of PDI gene deficiency in plants by using 16F16 [2-(2-Chloroacetyl)-2,3,4,9-tetrahydro-1-methyl-1H-pyrido[3,4-b]indole-1-carboxylic acid methyl ester], a small-molecule inhibitor of PDI, to remove functional redundancy. The results showed that the growth of Arabidopsis roots was significantly inhibited when treated with 16F16. To further investigate the effects of 16F16 treatment, we conducted expression profiling of treated roots using RNA sequencing and a Tandem Mass Tag (TMT)-based quantitative proteomics approach at both the transcriptomic and proteomic levels. Our analysis revealed 994 differentially expressed genes (DEGs) at the transcript level, which were predominantly enriched in pathways associated with "phenylpropane biosynthesis", "plant hormone signal transduction", "plant-pathogen interaction" and "starch and sucrose metabolism" pathways. Additionally, we identified 120 differentially expressed proteins (DEPs) at the protein level. These proteins were mainly enriched in pathways such as "phenylpropanoid biosynthesis", "photosynthesis", "biosynthesis of various plant secondary metabolites", and "biosynthesis of secondary metabolites" pathways. The comprehensive transcriptome and proteome analyses revealed a regulatory network for root shortening in Arabidopsis seedlings under 16F16 treatment, mainly involving phenylpropane biosynthesis and plant hormone signal transduction pathways. This study enhances our understanding of the significant role of PDIs in Arabidopsis root growth and provides insights into the regulatory mechanisms of root shortening following 16F16 treatment.
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Affiliation(s)
| | | | | | | | - Yingjuan Wang
- State Key Laboratory of Biotechnology of Shannxi Province, College of Life Science, Northwest University, Xi’an 710069, China; (Y.L.); (P.S.); (M.Y.); (J.L.)
| | - Fenggui Fan
- State Key Laboratory of Biotechnology of Shannxi Province, College of Life Science, Northwest University, Xi’an 710069, China; (Y.L.); (P.S.); (M.Y.); (J.L.)
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4
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Wang F, Wang Y, Ying L, Lu H, Liu Y, Liu Y, Xu J, Wu Y, Mo X, Wu Z, Mao C. Integrated transcriptomic analysis identifies coordinated responses to nitrogen and phosphate deficiency in rice. FRONTIERS IN PLANT SCIENCE 2023; 14:1164441. [PMID: 37223782 PMCID: PMC10200874 DOI: 10.3389/fpls.2023.1164441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 03/15/2023] [Indexed: 05/25/2023]
Abstract
Nitrogen (N) and phosphorus (P) are two primary components of fertilizers for crop production. Coordinated acquisition and utilization of N and P are crucial for plants to achieve nutrient balance and optimal growth in a changing rhizospheric nutrient environment. However, little is known about how N and P signaling pathways are integrated. We performed transcriptomic analyses and physiological experiments to explore gene expression profiles and physiological homeostasis in the response of rice (Oryza sativa) to N and P deficiency. We revealed that N and P shortage inhibit rice growth and uptake of other nutrients. Gene Ontology (GO) analysis of differentially expressed genes (DEGs) suggested that N and Pi deficiency stimulate specific different physiological reactions and also some same physiological processes in rice. We established the transcriptional regulatory network between N and P signaling pathways based on all DEGs. We determined that the transcript levels of 763 core genes changed under both N or P starvation conditions. Among these core genes, we focused on the transcription factor gene NITRATE-INDUCIBLE, GARP-TYPE TRANSCRIPTIONAL REPRESSOR 1 (NIGT1) and show that its encoded protein is a positive regulator of P homeostasis and a negative regulator of N acquisition in rice. NIGT1 promoted Pi uptake but inhibited N absorption, induced the expression of Pi responsive genes PT2 and SPX1 and repressed the N responsive genes NLP1 and NRT2.1. These results provide new clues about the mechanisms underlying the interaction between plant N and P starvation responses.
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Affiliation(s)
- Fei Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Yan Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Luying Ying
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Hong Lu
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Yijian Liu
- Hainan Institute, Zhejiang University, Yazhou Bay Science and Technology City, Sanya, Hainan, China
| | - Yu Liu
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Jiming Xu
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Yunrong Wu
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Xiaorong Mo
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Zhongchang Wu
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Chuanzao Mao
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
- Hainan Institute, Zhejiang University, Yazhou Bay Science and Technology City, Sanya, Hainan, China
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Wang H, Cheng Q, Zhai Z, Cui X, Li M, Ye R, Sun L, Shen H. Transcriptomic and Proteomic Analyses of Celery Cytoplasmic Male Sterile Line and Its Maintainer Line. Int J Mol Sci 2023; 24:ijms24044194. [PMID: 36835607 PMCID: PMC9967367 DOI: 10.3390/ijms24044194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 12/22/2022] [Accepted: 12/27/2022] [Indexed: 02/22/2023] Open
Abstract
Male sterility is a common phenomenon in the plant kingdom and based on the organelles harboring the male-sterility genes, it can be classified into the genic male sterility (GMS) and the cytoplasmic male sterility (CMS). In every generation, CMS can generate 100% male-sterile population, which is very important for the breeders to take advantage of the heterosis and for the seed producers to guarantee the seed purity. Celery is a cross-pollinated plant with the compound umbel type of inflorescence which carries hundreds of small flowers. These characteristics make CMS the only option to produce the commercial hybrid celery seeds. In this study, transcriptomic and proteomic analyses were performed to identify genes and proteins that are associated with celery CMS. A total of 1255 differentially expressed genes (DEGs) and 89 differentially expressed proteins (DEPs) were identified between the CMS and its maintainer line, then 25 genes were found to differentially expressed at both the transcript and protein levels. Ten DEGs involved in the fleece layer and outer pollen wall development were identified by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, most of which were down-regulated in the sterile line W99A. These DEGs and DEPs were mainly enriched in the pathways of "phenylpropanoid/sporopollenin synthesis/metabolism", "energy metabolism", "redox enzyme activity" and "redox processes". Results obtained in this study laid a foundation for the future investigation of mechanisms of pollen development as well as the reasons for the CMS in celery.
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Affiliation(s)
- Haoran Wang
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, China Agricultural University, Beijing 100193, China
- Department of Vegetable Science, College of Horticulture, China Agricultural University, No. 2 Yuanmingyuan Xi Lu, Haidian District, Beijing 100193, China
| | - Qing Cheng
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, China Agricultural University, Beijing 100193, China
- Department of Vegetable Science, College of Horticulture, China Agricultural University, No. 2 Yuanmingyuan Xi Lu, Haidian District, Beijing 100193, China
| | - Ziqi Zhai
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, China Agricultural University, Beijing 100193, China
- Department of Vegetable Science, College of Horticulture, China Agricultural University, No. 2 Yuanmingyuan Xi Lu, Haidian District, Beijing 100193, China
| | - Xiangyun Cui
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, China Agricultural University, Beijing 100193, China
- Department of Vegetable Science, College of Horticulture, China Agricultural University, No. 2 Yuanmingyuan Xi Lu, Haidian District, Beijing 100193, China
| | - Mingxuan Li
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, China Agricultural University, Beijing 100193, China
- Department of Vegetable Science, College of Horticulture, China Agricultural University, No. 2 Yuanmingyuan Xi Lu, Haidian District, Beijing 100193, China
| | - Ruiquan Ye
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, China Agricultural University, Beijing 100193, China
- Department of Vegetable Science, College of Horticulture, China Agricultural University, No. 2 Yuanmingyuan Xi Lu, Haidian District, Beijing 100193, China
| | - Liang Sun
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, China Agricultural University, Beijing 100193, China
- Department of Vegetable Science, College of Horticulture, China Agricultural University, No. 2 Yuanmingyuan Xi Lu, Haidian District, Beijing 100193, China
- Correspondence: (L.S.); (H.S.); Tel.: +86-10-6273-1014 (L.S.); +86-10-6273-2831 (H.S.)
| | - Huolin Shen
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, China Agricultural University, Beijing 100193, China
- Department of Vegetable Science, College of Horticulture, China Agricultural University, No. 2 Yuanmingyuan Xi Lu, Haidian District, Beijing 100193, China
- Correspondence: (L.S.); (H.S.); Tel.: +86-10-6273-1014 (L.S.); +86-10-6273-2831 (H.S.)
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6
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He M, Wang J, Herold S, Xi L, Schulze WX. A Rapid and Universal Workflow for Label-Free-Quantitation-Based Proteomic and Phosphoproteomic Studies in Cereals. Curr Protoc 2022; 2:e425. [PMID: 35674286 DOI: 10.1002/cpz1.425] [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: 06/15/2023]
Abstract
Proteomics and phosphoproteomics are robust tools to analyze dynamics of post-transcriptional processes during growth and development. A variety of experimental methods and workflows have been published, but most of them were developed for model plants and have not been adapted to high-throughput platforms. Here, we describe an experimental workflow for proteome and phosphoproteome studies tailored to cereal crop tissues. The workflow consists of two parallel parts that are suitable for analyzing protein/phosphoprotein from total proteins and the microsomal membrane fraction. We present phosphoproteomic data regarding quantification coverage and analytical reproducibility for example preparations from maize root and shoot, wheat leaf, and a microsomal protein preparation from maize leaf. To enable users to adjust for tissue specific requirements, we provide two different methods of protein clean-up: traditional ethanol precipitation (PC) and a recently developed technology termed single-pot, solid-phase-enhanced sample preparation (SP3). Both the PC and SP3 methods are effective in the removal of unwanted substances in total protein crude extracts. In addition, two different methods of phosphopeptide enrichment are presented: a TiO2 -based method and Fe(III)-NTA cartridges on a robotized platform. Although the overall number of phosphopeptides is stable across protein clean-up and phosphopeptide enrichment methods, there are differences in the preferred phosphopeptides in each enrichment method. The preferred protocol depends on laboratory capabilities and research objective. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Total protein crude extraction Basic Protocol 2: Total protein clean-up with ethanol precipitation Alternate Protocol 1: Total protein clean-up with SP3 method Basic Protocol 3: Microsomal fraction protein extraction Basic Protocol 4: Protein concentration determination by Bradford assay Basic Protocol 5: In-solution digestion with trypsin Basic Protocol 6: Phosphopeptide enrichment with TiO2 Alternate Protocol 2: Phosphopeptide enrichment with Fe(III)-NTA cartridges Basic Protocol 7: Peptide desalting with C18 material Basic Protocol 8: LC-MS/MS analysis of (phospho)peptides and spectrum matching.
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Affiliation(s)
- Mingjie He
- Department of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany
| | - Jiahui Wang
- Department of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany
| | - Sandra Herold
- Department of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany
| | - Lin Xi
- Department of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany
| | - Waltraud X Schulze
- Department of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany
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7
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Yadava P, Dayaman V, Agarwal A, Kumar K, Singh I, Verma R, Kaul T. Fine-tuning the transcriptional regulatory model of adaptation response to phosphate stress in maize ( Zea mays L.). PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2022; 28:885-898. [PMID: 35592478 PMCID: PMC9110616 DOI: 10.1007/s12298-022-01155-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 01/07/2022] [Accepted: 02/25/2022] [Indexed: 05/11/2023]
Abstract
UNLABELLED The post green revolution agriculture is based on generous application of fertilizers and high-yielding genotypes that are suited for such high input regimes. Cereals, like maize (Zea mays L.) are capable of utilizing less than 20% of the applied inorganic phosphate (Pi) - a non-renewable fertilizer resource. A greater understanding of the molecular mechanisms underlying the acquisition, transportation and utilization of Pi may lead to engineering genotypes with high phosphorus use efficiency. In this study, we carried out functional domain similarity analysis, promoter analysis and comparative transcriptional expression profiling of 12 selected Pi responsive genes in the Pi stress tolerant maize inbred line HKI-163 under sufficient and deficient Pi conditions. Pi starvation led to significant increase in root length; marked proliferation of root hairs and lesser number of crown roots. Eleven genes were significantly up or down regulated in Pi deficient condition. The putative acid phosphatase, ZmACP5 expression was up regulated by 162.81 and 74.40 fold in root and leaf tissues, respectively. The RNase, ZmRNS1 showed 115 fold up regulation in roots under Pi deprivation. Among the two putative high affinity Pi transporters ZmPht1;4 was found specific to root, whereas ZmPht2 was found to be up regulated in both root and leaf tissues. The genes involved in Pi homeostasis pathway (ZmSIZ1, SPX1 and Pho2) were up regulated in root and leaf. In light of the expression profiling of selected regulatory genes, an updated model of transcriptional regulation under Pi starvation in maize has been presented. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s12298-022-01155-x.
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Affiliation(s)
- Pranjal Yadava
- Indian Council of Agricultural Research- Indian Institute of Maize Research, Pusa Campus, 110012 New Delhi, India
- Division of Plant Physiology, Indian Agricultural Research Institute, Pusa, 110012 New Delhi, India
| | - Vikram Dayaman
- Indian Council of Agricultural Research- Indian Institute of Maize Research, Pusa Campus, 110012 New Delhi, India
| | - Astha Agarwal
- Indian Council of Agricultural Research- Indian Institute of Maize Research, Pusa Campus, 110012 New Delhi, India
| | - Krishan Kumar
- Indian Council of Agricultural Research- Indian Institute of Maize Research, Pusa Campus, 110012 New Delhi, India
| | - Ishwar Singh
- Indian Council of Agricultural Research- Indian Institute of Maize Research, Pusa Campus, 110012 New Delhi, India
| | - Rachana Verma
- Indian Council of Agricultural Research- Indian Institute of Maize Research, Pusa Campus, 110012 New Delhi, India
- International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, 110067 New Delhi, India
| | - Tanushri Kaul
- International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, 110067 New Delhi, India
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