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Feng X, Cheng H, Zuo D, Zhang Y, Wang Q, Lv L, Li S, Yu JZ, Song G. Genome-wide identification and expression analysis of GL2-interacting-repressor (GIR) genes during cotton fiber and fuzz development. PLANTA 2021; 255:23. [PMID: 34923605 DOI: 10.1007/s00425-021-03737-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 09/20/2021] [Indexed: 06/14/2023]
Abstract
GL2-interacting-repressor (GIR) family members may contribute to fiber/fuzz formation via a newly discovered unique pathway in Gossypium arboreum. There are similarities between cotton fiber development and the formation of trichomes and root hairs. The GL2-interacting-repressors (GIRs) are crucial regulators of root hair and trichome formation. The GaFzl gene, annotated as GaGIR1, is negatively associated with trichome development and fuzz initiation. However, there is relatively little available information regarding the other GIR genes in cotton, especially regarding their effects on cotton fiber development. In this study, 21 GIR family genes were identified in the diploid cotton species Gossypium arboreum; these genes were divided into three groups. The GIR genes were characterized in terms of their phylogenetic relationships, structures, chromosomal distribution and evolutionary dynamics. These GIR genes were revealed to be unequally distributed on 12 chromosomes in the diploid cotton genome, with no GIR gene detected on Ga06. The cis-acting elements in the promoter regions were predicted to be responsive to light, phytohormones, defense activities and stress. The transcriptomic data and qRT-PCR results revealed that most GIR genes were not differentially expressed between the wild-type control and the fuzzless mutant line. Moreover, 14 of 21 family genes were expressed at high levels, indicating these genes may play important roles during fiber development and fuzz formation. Furthermore, Ga01G0231 was predominantly expressed in root samples, suggestive of a role in root hair formation rather than in fuzz initiation and development. The results of this study have enhanced our understanding of the GIR genes and their potential utility for improving cotton fiber through breeding.
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Affiliation(s)
- Xiaoxu Feng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
- Plant Genetics, Gembloux Agro Bio-Tech, University of Liège, 5030, Gembloux, Belgium
| | - Hailiang Cheng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Dongyun Zuo
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Youping Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Qiaolian Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Limin Lv
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Shuyan Li
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - John Z Yu
- Southern Plains Agricultural Research Center, USDA-ARS, Crop Germplasm Research Unit, 2881 F&B Road, College Station, Texas, 77845, USA.
| | - Guoli Song
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
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A Modified Actin (Gly65Val Substitution) Expressed in Cotton Disrupts Polymerization of Actin Filaments Leading to the Phenotype of Ligon Lintless-1 ( Li1) Mutant. Int J Mol Sci 2021; 22:ijms22063000. [PMID: 33809404 PMCID: PMC7998759 DOI: 10.3390/ijms22063000] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 02/16/2021] [Accepted: 02/24/2021] [Indexed: 12/20/2022] Open
Abstract
Dynamic remodeling of the actin cytoskeleton plays a central role in the elongation of cotton fibers, which are the most important natural fibers in the global textile industry. Here, a high-resolution mapping approach combined with comparative sequencing and a transgenic method revealed that a G65V substitution in the cotton actin Gh_D04G0865 (GhACT17D in the wild-type) is responsible for the Gossypium hirsutum Ligon lintless-1 (Li1) mutant (GhACT17DM). In the mutant GhACT17DM from Li1 plant, Gly65 is substituted with valine on the lip of the nucleotide-binding domain of GhACT17D, which probably affects the polymerization of F-actin. Over-expression of GhACT17DM, but not GhACT17D, driven by either a CaMV35 promoter or a fiber-specific promoter in cotton produced a Li1-like phenotype. Compared with the wild-type control, actin filaments in Li1 fibers showed higher growth and shrinkage rates, decreased filament skewness and parallelness, and increased filament density. Taken together, our results indicate that the incorporation of GhACT17DM during actin polymerization disrupts the establishment and dynamics of the actin cytoskeleton, resulting in defective fiber elongation and the overall dwarf and twisted phenotype of the Li1 mutant.
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Pachganov S, Murtazalieva K, Zarubin A, Taran T, Chartier D, Tatarinova TV. Prediction of Rice Transcription Start Sites Using TransPrise: A Novel Machine Learning Approach. Methods Mol Biol 2021; 2238:261-274. [PMID: 33471337 DOI: 10.1007/978-1-0716-1068-8_17] [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: 06/12/2023]
Abstract
As the interest in genetic resequencing increases, so does the need for effective mathematical, computational, and statistical approaches. One of the difficult problems in genome annotation is determination of precise positions of transcription start sites. In this paper, we present TransPrise-an efficient deep learning tool for predicting positions of eukaryotic transcription start sites. TransPrise offers significant improvement over existing promoter-prediction methods. To illustrate this, we compared predictions of TransPrise with the TSSPlant approach for well-annotated genome of Oryza sativa. Using a computer with a graphics processing unit, the run time of TransPrise is 250 min on a genome of 374 Mb long.We provide the full basis for the comparison and encourage users to freely access a set of our computational tools to facilitate and streamline their own analyses. The ready-to-use Docker image with all the necessary packages, models, and code as well as the source code of the TransPrise algorithm are available at http://compubioverne.group/ . The source code is ready to use and to be customized to predict TSS in any eukaryotic organism.
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Affiliation(s)
- Stepan Pachganov
- Ugra Research Institute of Information Technologies, Khanty-Mansiysk, Russia
| | | | - Alexei Zarubin
- Tomsk National Research Medical Center of the Russian Academy of Sciences, Research Institute of Medical Genetics, Tomsk, Russia
| | | | - Duane Chartier
- International Center for Art Intelligence, Inc, Los Angeles, CA, USA
| | - Tatiana V Tatarinova
- Vavilov Institute of General Genetics, Moscow, Russia.
- Department of Biology, University of La Verne, La Verne, CA, USA.
- A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.
- Siberian Federal University, Krasnoyarsk, Russia.
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Fang DD, Naoumkina M, Thyssen GN, Bechere E, Li P, Florane CB. An EMS-induced mutation in a tetratricopeptide repeat-like superfamily protein gene (Ghir_A12G008870) on chromosome A12 is responsible for the li y short fiber phenotype in cotton. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:271-282. [PMID: 31624873 DOI: 10.1007/s00122-019-03456-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Accepted: 10/09/2019] [Indexed: 05/15/2023]
Abstract
The EMS-induced threonine/isoleucine substitution in a tetratricopeptide repeat-like superfamily protein encoded by gene Ghir_A12G008870 is responsible for the Ligon-lintless-y (liy) short fiber phenotype in cotton. A short fiber mutant Ligon-lintless-y was created through treating the seeds of the cotton line MD15 with ethyl methanesulfonate. Genetic analysis indicated that the short fiber phenotype is controlled by a single recessive locus designated liy. From F2 populations derived from crosses between the mutant and its wild type (WT), we selected 132 short fiber progeny (liy/liy) and made two DNA bulks. We sequenced these DNA bulks along with the two parents of the population. The liy locus was located on chromosome A12. Using multiple F2 populations and F3 progeny plants, we mapped the liy locus within a genomic region of 1.18 Mb. In this region, there is only one gene, i.e., Ghir_A12G008870 encoding a tetratricopeptide repeat-like superfamily protein that has a non-synonymous mutation between the liy mutant and its WT. Analysis of a SNP marker representing this gene in the F2 and F3 progeny plants demonstrated its complete linkage with the liy short fiber phenotype. We further analyzed this SNP marker in a panel of 384 cotton varieties. The mutant allele is absent in all varieties analyzed. RNAseq and RT-qPCR analysis of the gene Ghir_A12G008870 during fiber development showed a significant expression difference between the liy mutant and its WT in developing fiber cells beginning at 12 days post-anthesis. Virus-induced gene silencing of the gene Ghir_A12G008870 significantly reduced the fiber length of the WT cotton line MD15. Taken together, our results suggest that the gene Ghir_A12G008870 is involved in the cotton fiber cell elongation process and is a promising candidate gene responsible for the liy short fiber phenotype.
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Affiliation(s)
- David D Fang
- Cotton Fiber Bioscience Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA.
| | - Marina Naoumkina
- Cotton Fiber Bioscience Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA
| | - Gregory N Thyssen
- Cotton Fiber Bioscience Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA
- Cotton Chemistry and Utilization Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA
| | - Efrem Bechere
- Crop Genetics Research Unit, USDA-ARS, Stoneville, MS, 38776, USA
| | - Ping Li
- Cotton Fiber Bioscience Research Unit, USDA-ARS-SRRC, New Orleans, LA, 70124, USA
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Sun Y, Liang W, Shen W, Feng H, Chen J, Si Z, Hu Y, Zhang T. G65V Substitution in Actin Disturbs Polymerization Leading to Inhibited Cell Elongation in Cotton. FRONTIERS IN PLANT SCIENCE 2019; 10:1486. [PMID: 31803216 PMCID: PMC6873290 DOI: 10.3389/fpls.2019.01486] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Accepted: 10/25/2019] [Indexed: 06/10/2023]
Abstract
The importance of the actin cytoskeleton for proper cell development has been well established in a variety of organisms. Actin protein sequences are highly conserved, and each amino acid residue may be essential for its function. In this study, we report the isolation and characterization of GhLi 1 from an upland cotton mutant Ligon lintless-1 (Li1), which harbors the G65V substitution in its encoded actin protein. Li1 mutants exhibit pleiotropic malformed phenotypes, including dwarf plants, distorted organs, and extremely shortened fibers. Cytological analysis showed that the actin cytoskeleton was disorganized and the abundance of F-actin was decreased in the Li1 cells. Vesicles were aggregated into patches, and excessive cellulose synthase complexes were inserted into the plasma membrane during the secondary cell wall biosynthesis stage, which dramatically affected the morphology of the Li1 cells. Molecular model prediction suggested that the G65V substitution may affect the three-bodied G-actin interaction during F-actin assembly. Biochemical assays demonstrated that the recombinant GhLi1 protein disturbs actin dynamics by inhibiting the nucleation and elongation processes. Therefore, our findings demonstrate that the G65V substitution in actin had dominant-negative effects on cell elongation, by disturbing actin polymerization and actin cytoskeleton-based biological processes such as intracellular transportation.
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Affiliation(s)
- Yongwang Sun
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, Nanjing, China
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, Institute of Crop Science, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Zhejiang, China
| | - Wenhua Liang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Weijuan Shen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Hao Feng
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, Nanjing, China
| | - Jiedan Chen
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, Institute of Crop Science, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Zhejiang, China
| | - Zhanfeng Si
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, Institute of Crop Science, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Zhejiang, China
| | - Yan Hu
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, Institute of Crop Science, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Zhejiang, China
| | - Tianzhen Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Cotton Hybrid R & D Engineering Center (the Ministry of Education), College of Agriculture, Nanjing Agricultural University, Nanjing, China
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, Institute of Crop Science, Plant Precision Breeding Academy, College of Agriculture and Biotechnology, Zhejiang University, Zhejiang, China
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6
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Pachganov S, Murtazalieva K, Zarubin A, Sokolov D, Chartier DR, Tatarinova TV. TransPrise: a novel machine learning approach for eukaryotic promoter prediction. PeerJ 2019; 7:e7990. [PMID: 31695967 PMCID: PMC6827441 DOI: 10.7717/peerj.7990] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 10/04/2019] [Indexed: 02/01/2023] Open
Abstract
As interest in genetic resequencing increases, so does the need for effective mathematical, computational, and statistical approaches. One of the difficult problems in genome annotation is determination of precise positions of transcription start sites. In this paper we present TransPrise-an efficient deep learning tool for prediction of positions of eukaryotic transcription start sites. Our pipeline consists of two parts: the binary classifier operates the first, and if a sequence is classified as TSS-containing the regression step follows, where the precise location of TSS is being identified. TransPrise offers significant improvement over existing promoter-prediction methods. To illustrate this, we compared predictions of TransPrise classification and regression models with the TSSPlant approach for the well annotated genome of Oryza sativa. Using a computer equipped with a graphics processing unit, the run time of TransPrise is 250 minutes on a genome of 374 Mb long. The Matthews correlation coefficient value for TransPrise is 0.79, more than two times larger than the 0.31 for TSSPlant classification models. This represents a high level of prediction accuracy. Additionally, the mean absolute error for the regression model is 29.19 nt, allowing for accurate prediction of TSS location. TransPrise was also tested in Homo sapiens, where mean absolute error of the regression model was 47.986 nt. We provide the full basis for the comparison and encourage users to freely access a set of our computational tools to facilitate and streamline their own analyses. The ready-to-use Docker image with all necessary packages, models, code as well as the source code of the TransPrise algorithm are available at (http://compubioverne.group/). The source code is ready to use and customizable to predict TSS in any eukaryotic organism.
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Affiliation(s)
- Stepan Pachganov
- Ugra Research Institute of Information Technologies, Khanty-Mansiysk, Russia
| | - Khalimat Murtazalieva
- Vavilov Institute for General Genetics, Moscow, Russia.,Institute of Bioinformatics, Moscow, Russia
| | - Aleksei Zarubin
- Tomsk National Research Medical Center of the Russian Academy of Sciences, Research Institute of Medical Genetics, Tomsk, Russia
| | | | - Duane R Chartier
- International Center for Art Intelligence, Inc., Los Angeles, CA, United States of America
| | - Tatiana V Tatarinova
- Vavilov Institute for General Genetics, Moscow, Russia.,Department of Biology, University of La Verne, La Verne, CA, United States of America.,A.A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.,Siberian Federal University, Krasnoyarsk, Russia
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7
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Feng X, Cheng H, Zuo D, Zhang Y, Wang Q, Liu K, Ashraf J, Yang Q, Li S, Chen X, Song G. Fine mapping and identification of the fuzzless gene GaFzl in DPL972 (Gossypium arboreum). TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2019; 132:2169-2179. [PMID: 30941465 PMCID: PMC6647196 DOI: 10.1007/s00122-019-03330-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 09/14/2018] [Indexed: 05/15/2023]
Abstract
KEY MESSAGE The fuzzless gene GaFzl was fine mapped to a 70-kb region containing a GIR1 gene, Cotton_A_11941, responsible for the fuzzless trait in Gossypium arboreum DPL972. Cotton fiber is the most important natural textile resource. The fuzzless mutant DPL972 (Gossypium arboreum) provides a useful germplasm resource to explore the molecular mechanism underlying fiber and fuzz initiation and development. In our previous research, the fuzzless gene in DPL972 was identified as a single dominant gene and named GaFzl. In the present study, we fine mapped this gene using F2 and BC1 populations. By combining traditional map-based cloning and next-generation sequencing, we mapped GaFzl to a 70-kb region containing seven annotated genes. RNA-Sequencing and re-sequencing analysis narrowed these candidates to two differentially expressed genes, Cotton_A_11941 and Cotton_A_11942. Sequence alignment uncovered no variation in coding or promoter regions of Cotton_A_11942 between DPL971 and DPL972, whereas two single-base mutations in the promoter region and a TTG insertion in the coding region were detected in Cotton_A_11941 in DPL972. Cotton_A_11941 encoding a homologous gene of GIR1 (GLABRA2-interacting repressor) in Arabidopsis thaliana is thus the candidate gene most likely responsible for the fuzzless trait in DPL972. Our findings should lead to a better understanding of cotton fuzz formation, thereby accelerating marker-assisted selection during cotton breeding.
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Affiliation(s)
- Xiaoxu Feng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
- Plant Genetics, Gembloux Agro Bio Tech, University of Liège, Gembloux, Belgium
| | - Hailiang Cheng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Dongyun Zuo
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Youping Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Qiaolian Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Ke Liu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Javaria Ashraf
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Qiuhong Yang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Simin Li
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Xiaoqin Chen
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Guoli Song
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
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Yu Y, Wu S, Nowak J, Wang G, Han L, Feng Z, Mendrinna A, Ma Y, Wang H, Zhang X, Tian J, Dong L, Nikoloski Z, Persson S, Kong Z. Live-cell imaging of the cytoskeleton in elongating cotton fibres. NATURE PLANTS 2019; 5:498-504. [PMID: 31040442 DOI: 10.1038/s41477-019-0418-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 03/18/2019] [Indexed: 05/23/2023]
Abstract
Cotton (Gossypium hirsutum) fibres consist of single cells that grow in a highly polarized manner, assumed to be controlled by the cytoskeleton1-3. However, how the cytoskeletal organization and dynamics underpin fibre development remains unexplored. Moreover, it is unclear whether cotton fibres expand via tip growth or diffuse growth2-4. We generated stable transgenic cotton plants expressing fluorescent markers of the actin and microtubule cytoskeleton. Live-cell imaging revealed that elongating cotton fibres assemble a cortical filamentous actin network that extends along the cell axis to finally form actin strands with closed loops in the tapered fibre tip. Analyses of F-actin network properties indicate that cotton fibres have a unique actin organization that blends features of both diffuse and tip growth modes. Interestingly, typical actin organization and endosomal vesicle aggregation found in tip-growing cell apices were not observed in fibre tips. Instead, endomembrane compartments were evenly distributed along the elongating fibre cells and moved bi-directionally along the fibre shank to the fibre tip. Moreover, plus-end tracked microtubules transversely encircled elongating fibre shanks, reminiscent of diffusely growing cells. Collectively, our findings indicate that cotton fibres elongate via a unique tip-biased diffuse growth mode.
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Affiliation(s)
- Yanjun Yu
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Shenjie Wu
- Cotton Research Institute, Shanxi Academy of Agricultural Sciences, Yucheng, China
| | - Jacqueline Nowak
- School of Biosciences, University of Melbourne, Melbourne, Victoria, Australia
- Systems Biology and Mathematical Modeling, Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
- Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Guangda Wang
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Libo Han
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhidi Feng
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Amelie Mendrinna
- School of Biosciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Yinping Ma
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Huan Wang
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaxia Zhang
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Juan Tian
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Li Dong
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zoran Nikoloski
- Systems Biology and Mathematical Modeling, Max Planck Institute of Molecular Plant Physiology, Potsdam, Germany
- Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Staffan Persson
- School of Biosciences, University of Melbourne, Melbourne, Victoria, Australia.
| | - Zhaosheng Kong
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Academy of Seed Design, Chinese Academy of Sciences, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
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9
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Thyssen GN, Fang DD, Turley RB, Florane CB, Li P, Mattison CP, Naoumkina M. A Gly65Val substitution in an actin, GhACT_LI1, disrupts cell polarity and F-actin organization resulting in dwarf, lintless cotton plants. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2017; 90:111-121. [PMID: 28078746 DOI: 10.1111/tpj.13477] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 12/16/2016] [Accepted: 01/03/2017] [Indexed: 06/06/2023]
Abstract
Actin polymerizes to form part of the cytoskeleton and organize polar growth in all eukaryotic cells. Species with numerous actin genes are especially useful for the dissection of actin molecular function due to redundancy and neofunctionalization. Here, we investigated the role of a cotton (Gossypium hirsutum) actin gene in the organization of actin filaments in lobed cotyledon pavement cells and the highly elongated single-celled trichomes that comprise cotton lint fibers. Using mapping-by-sequencing, virus-induced gene silencing, and molecular modeling, we identified the causative mutation of the dominant dwarf Ligon lintless Li1 short fiber mutant as a single Gly65Val amino acid substitution in a polymerization domain of an actin gene, GhACT_LI1 (Gh_D04G0865). We observed altered cell morphology and disrupted organization of F-actin in Li1 plant cells by confocal microscopy. Mutant leaf cells lacked interdigitation of lobes and F-actin did not uniformly decorate the nuclear envelope. While wild-type lint fiber trichome cells contained long longitudinal actin cables, the short Li1 fiber cells accumulated disoriented transverse cables. The polymerization-defective Gly65Val allele in Li1 plants likely disrupts processive elongation of F-actin, resulting in a disorganized cytoskeleton and reduced cell polarity, which likely accounts for the dominant gene action and diverse pleiotropic effects associated with the Li1 mutation. Lastly, we propose a model to account for these effects, and underscore the roles of actin organization in determining plant cell polarity, shape and plant growth.
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Affiliation(s)
- Gregory N Thyssen
- Cotton Fiber Bioscience Research Unit, United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Southern Regional Research Center (SRRC), 1100 Robert E. Lee Blvd, New Orleans, LA, 70124, USA
- Cotton Chemistry and Utilization Research Unit, USDA-ARS-SRRC, 1100 Robert E. Lee Blvd, New Orleans, LA, 70124, USA
| | - David D Fang
- Cotton Fiber Bioscience Research Unit, United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Southern Regional Research Center (SRRC), 1100 Robert E. Lee Blvd, New Orleans, LA, 70124, USA
| | - Rickie B Turley
- Crop Genetics Research Unit, USDA-ARS, 141 Experiment Station Road, Stoneville, MS, 38776, USA
| | - Christopher B Florane
- Cotton Fiber Bioscience Research Unit, United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Southern Regional Research Center (SRRC), 1100 Robert E. Lee Blvd, New Orleans, LA, 70124, USA
| | - Ping Li
- Cotton Fiber Bioscience Research Unit, United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Southern Regional Research Center (SRRC), 1100 Robert E. Lee Blvd, New Orleans, LA, 70124, USA
| | - Christopher P Mattison
- Food Processing and Sensory Quality Research Unit, USDA-ARS-SRRC, 1100 Robert E. Lee Blvd, New Orleans, LA, 70124, USA
| | - Marina Naoumkina
- Cotton Fiber Bioscience Research Unit, United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Southern Regional Research Center (SRRC), 1100 Robert E. Lee Blvd, New Orleans, LA, 70124, USA
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