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Ma T, Wei X, Zhang Y, Li J, Wu F, Yan Q, Yan Z, Zhang Z, Kanzana G, Zhao Y, Yang Y, Zhang J. Development of molecular markers based on LTR retrotransposon in the Cleistogenes songorica genome. J Appl Genet 2021; 63:61-72. [PMID: 34554437 DOI: 10.1007/s13353-021-00658-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 08/09/2021] [Accepted: 08/23/2021] [Indexed: 11/26/2022]
Abstract
Long terminal repeat retrotransposons (LTR-RTs) contribute a large fraction of many sequenced plant genomes and play important roles in genomic diversity and phenotypic variations. LTR-RTs are abundantly distributed in plant genomes, facilitating the development of markers based on LTR-RTs for a variety of genotyping purposes. Whole-genome analysis of LTR-RTs was performed in Cleistogenes songorica. A total of 299,079 LTR-RTs were identified and classified as Gypsy type, Copia type, or other type. LTR-RTs were widely distributed in the genome, enriched in the heterochromatic region of the chromosome, and negatively correlated with gene distribution. However, approximately one-fifth of genes were still interrupted by LTR-RTs, and these genes are annotated. Furthermore, four types of primer pairs (PPs) were designed, namely, retrotransposon-based insertion polymorphisms, inter-retrotransposon amplified polymorphisms, insertion site-based polymorphisms, and retrotransposon-microsatellite amplified polymorphisms. A total of 350 PPs were screened in 23 accessions of the genus Cleistogenes, of which 80 PPs showed polymorphism, and 72 PPs showed transferability among Gramineae and non-Gramineae species. In addition, a comparative analysis of homologous LTR-RTs was performed with other related grasses. Taken together, the study will serve as a valuable resource for genotyping applications for C. songorica and related grasses.
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Affiliation(s)
- Tiantian Ma
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Xingyi Wei
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Yufei Zhang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Jie Li
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Fan Wu
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Qi Yan
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Zhuanzhuan Yan
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Zhengshe Zhang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Gisele Kanzana
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Yufeng Zhao
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Yingbo Yang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Jiyu Zhang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China.
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Wang R, Liu K, Zhang XJ, Chen WL, Qu XJ, Fan SJ. Comparative Plastomes and Phylogenetic Analysis of Cleistogenes and Closely Related Genera (Poaceae). FRONTIERS IN PLANT SCIENCE 2021; 12:638597. [PMID: 33841465 PMCID: PMC8030268 DOI: 10.3389/fpls.2021.638597] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 02/22/2021] [Indexed: 06/12/2023]
Abstract
Cleistogenes (Orininae, Cynodonteae, Chloridoideae, Poaceae) is an ecologically important genus. The phylogenetic placement of Cleistogenes and phylogenetic relationships among Cleistogenes taxa remain controversial for a long time. To resolve the intra- and inter-generic relationships of Cleistogenes, the plastomes of 12 Cleistogenes taxa (including 8 species and 4 varieties), one Orinus species, 15 Triodia species, two Tripogon species, and two Aeluropus species were included in the present study. All the taxa showed a similar pattern in plastome structure, gene order, gene content, and IR boundaries. The number of simple sequence repeats ranged from 145 (O. kokonorica) to 161 (T. plurinervata and T. schinzii). Moreover, 1,687 repeats were identified in these taxa, including 1,012 forward, 650 palindromic, 24 reverse, and one complement. Codon usage analysis revealed that these plastomes contained 16,633 (T. stipoides) to 16,678 (T. tomentosa) codons. Sequence divergence analysis among Cleistogenes and closely related genera identified five non-coding regions (trnS-UGA-psbZ, rpl32-trnL-UAG, trnQ-UUG-psbK, trnD-GUC-psbM, trnT-GGU-trnE-UUC). Phylogenetic analysis of complete plastomes indicated that Cleistogenes is sister to a clade composed of Orinus and Triodia, whereas it did not support the sister relationship between the recently proposed subtribe Orininae (Cleistogenes and Orinus) and Triodia. The subtribe Orininae was not supported by our complete plastome data. The split between Cleistogenes and Orinus-Triodia clade go back to 14.01 Ma. Besides, our findings suggested that C. squarrosa and C. songorica are the successive early diverging groups in the phylogenetic analysis. The other 10 taxa are divided into two groups: a monophyletic group composed of Cleistogenes sp. nov. and C. caespitosa var. ramosa is sister to other eight Cleistogenes taxa. Cleistogenes was estimated to have experienced rapid divergence within a short period, which could be a major obstacle in resolving phylogenetic relationships within Cleistogenes. Collectively, our results provided valuable insights into the phylogenetic study of grass species.
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Affiliation(s)
- Rong Wang
- Shandong Provincial Key Laboratory of Plant Stress Research, College of Life Science, Shandong Normal University, Jinan, China
| | - Kuan Liu
- Shandong Provincial Key Laboratory of Plant Stress Research, College of Life Science, Shandong Normal University, Jinan, China
| | - Xue-Jie Zhang
- Shandong Provincial Key Laboratory of Plant Stress Research, College of Life Science, Shandong Normal University, Jinan, China
| | - Wen-Li Chen
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
| | - Xiao-Jian Qu
- Shandong Provincial Key Laboratory of Plant Stress Research, College of Life Science, Shandong Normal University, Jinan, China
| | - Shou-Jin Fan
- Shandong Provincial Key Laboratory of Plant Stress Research, College of Life Science, Shandong Normal University, Jinan, China
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Zhang J, Wu F, Yan Q, John UP, Cao M, Xu P, Zhang Z, Ma T, Zong X, Li J, Liu R, Zhang Y, Zhao Y, Kanzana G, Lv Y, Nan Z, Spangenberg G, Wang Y. The genome of Cleistogenes songorica provides a blueprint for functional dissection of dimorphic flower differentiation and drought adaptability. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:532-547. [PMID: 32964579 PMCID: PMC7955882 DOI: 10.1111/pbi.13483] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 09/13/2020] [Indexed: 05/24/2023]
Abstract
Cleistogenes songorica (2n = 4x = 40) is a desert grass with a unique dimorphic flowering mechanism and an ability to survive extreme drought. Little is known about the genetics underlying drought tolerance and its reproductive adaptability. Here, we sequenced and assembled a high-quality chromosome-level C. songorica genome (contig N50 = 21.28 Mb). Complete assemblies of all telomeres, and of ten chromosomes were derived. C. songorica underwent a recent tetraploidization (~19 million years ago) and four major chromosomal rearrangements. Expanded genes were significantly enriched in fatty acid elongation, phenylpropanoid biosynthesis, starch and sucrose metabolism, and circadian rhythm pathways. By comparative transcriptomic analysis we found that conserved drought tolerance related genes were expanded. Transcription of CsMYB genes was associated with differential development of chasmogamous and cleistogamous flowers, as well as drought tolerance. Furthermore, we found that regulation modules encompassing miRNA, transcription factors and target genes are involved in dimorphic flower development, validated by overexpression of CsAP2_9 and its targeted miR172 in rice. Our findings enable further understanding of the mechanisms of drought tolerance and flowering in C. songorica, and provide new insights into the adaptability of native grass species in evolution, along with potential resources for trait improvement in agronomically important species.
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Affiliation(s)
- Jiyu Zhang
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Fan Wu
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Qi Yan
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Ulrik P John
- Agriculture Victoria Research, Department of Jobs, Precincts and RegionsAgriBio, Centre for AgriBioscience, La Trobe UniversityVictoriaAustralia
| | - Mingshu Cao
- AgResearch Limited, Grasslands Research CentrePalmerston NorthNew Zealand
| | - Pan Xu
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Zhengshe Zhang
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Tiantian Ma
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Xifang Zong
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Jie Li
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Ruijuan Liu
- Key Laboratory of Adaptation and Evolution of Plateau BiotaNorthwest Institute of Plateau BiologyChinese Academy of SciencesXiningChina
| | - Yufei Zhang
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Yufeng Zhao
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Gisele Kanzana
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Yanyan Lv
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - Zhibiao Nan
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
| | - German Spangenberg
- Agriculture Victoria Research, Department of Jobs, Precincts and RegionsAgriBio, Centre for AgriBioscience, La Trobe UniversityVictoriaAustralia
| | - Yanrong Wang
- State Key Laboratory of Grassland Agro‐ecosystemsKey Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural AffairsEngineering Research Center of Grassland Industry, Ministry of EducationCollege of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouChina
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Kanzana G, Zhang Y, Ma T, Liu W, Wu F, Yan Q, Min X, Yan Z, Muvunyi BP, Li J, Zhang Z, Zhao Y, Zhang J. Genome-wide development of miRNA-based SSR markers in Cleistogenes songorica and analysis of their transferability to Gramineae/non-Gramineae species. J Appl Genet 2020; 61:367-377. [PMID: 32507975 DOI: 10.1007/s13353-020-00561-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2019] [Revised: 04/28/2020] [Accepted: 05/07/2020] [Indexed: 11/24/2022]
Abstract
Simple sequence repeat (SSR) markers are commonly used for many genetic applications, such as map construction, fingerprinting, and genetic diversity analyses, due to their high reproducibility, polymorphism, and abundance. Endogenous miRNAs play essential roles in plant development and gene expression under diverse biotic and abiotic stress conditions. In the present study, we predicted 110 miRNA-SSR primer pairs from 287 precursor miRNAs. Among 110 primer pairs, 85 were successfully amplified and examined for transferability to other Gramineae and non-Gramineae species. The results showed that all 82 primer pairs yielded unambiguous and strong amplification, and across the 23 studied Cleistogenes accessions, a total of 385 alleles were polymorphic. The number of alleles produced per primer varied from 3 to 11, with an average of 4.69 per locus. The expected heterozygosity (He) ranged from 0.44 to 0.88, with an average of 0.74 per locus, and the PIC (Polymorphism Information Content) values ranged from 0.34 to 0.87, with an average of 0.69 per locus. Furthermore, 1422 miRNA target genes were predicted and analyzed using the GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) databases. In conclusion, the results showed that an miRNA-based microsatellite marker system can be applicable for genetic diversity and marker-assisted breeding studies.
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Affiliation(s)
- Gisele Kanzana
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Yufei Zhang
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Tiantian Ma
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Wenxian Liu
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Fan Wu
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Qi Yan
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Xueyang Min
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Zhuanzhuan Yan
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Blaise Pascal Muvunyi
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Jie Li
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Zhengshe Zhang
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Yufeng Zhao
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China
| | - Jiyu Zhang
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, People's Republic of China.
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Yan Q, Wu F, Yan Z, Li J, Ma T, Zhang Y, Zhao Y, Wang Y, Zhang J. Differential co-expression networks of long non-coding RNAs and mRNAs in Cleistogenes songorica under water stress and during recovery. BMC PLANT BIOLOGY 2019; 19:23. [PMID: 30634906 PMCID: PMC6330494 DOI: 10.1186/s12870-018-1626-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 12/28/2018] [Indexed: 05/22/2023]
Abstract
BACKGROUND Water stress seriously constrains plant growth and yield. Long non-coding RNAs (lncRNAs) serve as versatile regulators in various biological regulatory processes. To date, the systematic screening and potential functions of lncRNA have not yet been characterized in Cleistogenes songorica, especially under water stress conditions. RESULTS In this study, we obtained the root and shoot transcriptomes of young C. songorica plants subjected to different degrees of water stress and recovery treatments by Illumina-based RNA-seq. A total of 3397 lncRNAs were identified through bioinformatics analysis. LncRNA differential expression analysis indicated that the higher response of roots compared to shoots during water stress and recovery. We further identified the 1644 transcription factors, 189 of which were corresponded to 163 lncRNAs in C. songorica. Though comparative analyses with major Poaceae species based on blast, 81 water stress-related orthologues regulated to lncRNAs were identified as a core of evolutionary conserved genes important to regulate water stress responses in the family. Among these target genes, two genes were found to be involved in the abscisic acid (ABA) signalling pathway, and four genes were enriched for starch and sucrose metabolism. Additionally, the 52 lncRNAs were predicted as target mimics for microRNAs (miRNAs) in C. songorica. RT-qPCR results suggested that MSTRG.43964.1 and MSTRG.4400.2 may regulate the expression of miRNA397 and miRNA166, respectively, as target mimics under water stress and during recovery. Finally, a co-expression network was constructed based on the lncRNAs, miRNAs, protein-coding genes (PCgenes) and transcription factors under water stress and during recovery in C. songorica. CONCLUSIONS In C. songorica, lncRNAs, miRNAs, PCgenes and transcription factors constitute a complex transcriptional regulatory network which lncRNAs can regulate PCgenes and miRNAs under water stress and recovery. This study provides fundamental resources to deepen our knowledge on lncRNAs during ubiquitous water stress.
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Affiliation(s)
- Qi Yan
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, People’s Republic of China
| | - Fan Wu
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, People’s Republic of China
| | - Zhuanzhuan Yan
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, People’s Republic of China
| | - Jie Li
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, People’s Republic of China
| | - Tiantian Ma
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, People’s Republic of China
| | - Yufei Zhang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, People’s Republic of China
| | - Yufeng Zhao
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, People’s Republic of China
| | - Yanrong Wang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, People’s Republic of China
| | - Jiyu Zhang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, People’s Republic of China
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Mining Late Embryogenesis Abundant (LEA) Family Genes in Cleistogenes songorica, a Xerophyte Perennial Desert Plant. Int J Mol Sci 2018; 19:ijms19113430. [PMID: 30388835 PMCID: PMC6274777 DOI: 10.3390/ijms19113430] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 10/11/2018] [Accepted: 10/23/2018] [Indexed: 11/17/2022] Open
Abstract
Plant growth and development depends on its ability to maintain optimal cellular homeostasis during abiotic and biotic stresses. Cleistogenes songorica, a xerophyte desert plant, is known to have novel drought stress adaptation strategies and contains rich pools of stress tolerance genes. Proteins encoded by Late Embryogenesis Abundant (LEA) family genes promote cellular activities by functioning as disordered molecules, or by limiting collisions between enzymes during stresses. To date, functions of the LEA family genes have been heavily investigated in many plant species except perennial monocotyledonous species. In this study, 44 putative LEA genes were identified in the C. songorica genome and were grouped into eight subfamilies, based on their conserved protein domains and domain organizations. Phylogenetic analyses indicated that C. songorica Dehydrin and LEA_2 subfamily proteins shared high sequence homology with stress responsive Dehydrin proteins from Arabidopsis. Additionally, promoter regions of CsLEA_2 or CsDehydrin subfamily genes were rich in G-box, drought responsive (MBS), and/or Abscisic acid responsive (ABRE) cis-regulatory elements. In addition, gene expression analyses indicated that genes from these two subfamilies were highly responsive to heat stress and ABA treatment, in both leaves and roots. In summary, the results from this study provided a comprehensive view of C. songoricaLEA genes and the potential applications of these genes for the improvement of crop tolerance to abiotic stresses.
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Wu F, Luo K, Yan Z, Zhang D, Yan Q, Zhang Y, Yi X, Zhang J. Analysis of miRNAs and their target genes in five Melilotus albus NILs with different coumarin content. Sci Rep 2018; 8:14138. [PMID: 30237524 PMCID: PMC6147922 DOI: 10.1038/s41598-018-32153-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Accepted: 09/03/2018] [Indexed: 11/14/2022] Open
Abstract
MicroRNAs (miRNAs) exhibit diverse and important roles in regulation of various biological processes at the post-transcriptional level in plants. In this study, Melilotus albus miRNA and their target genes were elucidated from five M. albus near-isogenic lines which differ in coumarin content to construct small RNA libraries through high-throughput sequencing. A total of 417 known miRNAs and 76 novel miRNAs were identified in M. albus. In addition, 4155 different target genes for 114 known miRNA families and 14 target genes for 2 novel miRNAs were identified in M. albus. Moreover, mtr-miR5248 and mtr-miR7701-5p target c35498_g3 and gma-miR396a-3p target c37211_g1 involved in coumarin biosynthesis were identified by using the differential expression of the miRNAs and their target genes correlation analysis. The abundance of miRNAs and potential target genes were validated by qRT-PCR analysis. We also found that there were both positive and negative expression changing patterns between miRNAs and their related target genes. Our first and preliminary study of miRNAs will contribute to our understanding of the functions and molecular regulatory mechanisms of miRNAs and their target genes, and provide information on regulating the complex coumarin pathway in M. albus for future research.
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Affiliation(s)
- Fan Wu
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, P.R. China
| | - Kai Luo
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, P.R. China
| | - Zhuanzhuan Yan
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, P.R. China
| | - Daiyu Zhang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, P.R. China
| | - Qi Yan
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, P.R. China
| | - Yufei Zhang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, P.R. China
| | - Xianfeng Yi
- Guangxi Institute of Animal Sciences, Nanning, 530001, P.R. China.
| | - Jiyu Zhang
- State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, P.R. China.
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Analysis of microRNA reveals cleistogamous and chasmogamous floret divergence in dimorphic plant. Sci Rep 2018; 8:6287. [PMID: 29674749 PMCID: PMC5908857 DOI: 10.1038/s41598-018-24477-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 04/04/2018] [Indexed: 12/31/2022] Open
Abstract
Cleistogenes songorica, a grass species that exhibits two spatially different type of inflorescence, chastogamy (CH), flowers localized at the top, and cleistogamy (CL) flowers embedded in leaf sheath. This study aimed at dissecting reasons underlying these distinct floral development patterns at morphological and microRNA level. Phenotyping for CH and CL was conducted and four small RNA libraries were constructed from the CH and CL flowers for high-throughput sequencing to identify the differentiated miRNAs. As results, spikelet, stigma, anther, lemma and lodicule length of CH flowers were found larger than that of CL, and so was seed setting. Also, 17 flower-related differential expression miRNAs were identified which were associated with floral organ development and morphogenesis, and the flower development. Further results showed that miR159a.1-CL3996.Contig2 pair was related to anther development, miR156a-5p-CL1954.Contig2 was linked to response to high light intensity, miR408-3p/miR408d-Unigene429 was related to pollination and Unigene429 positively regulated flower development. To our knowledge, this is the first study on differential miRNA accumulation between CH and CL flowers and our study serves as a foundation to the future elucidation of regulatory mechanisms of miRNAs in the divergent development of CL and CH flowers in a single plant.
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Heringer AS, Barroso T, Macedo AF, Santa-Catarina C, Souza GHMF, Floh EIS, de Souza-Filho GA, Silveira V. Label-Free Quantitative Proteomics of Embryogenic and Non-Embryogenic Callus during Sugarcane Somatic Embryogenesis. PLoS One 2015; 10:e0127803. [PMID: 26035435 PMCID: PMC4452777 DOI: 10.1371/journal.pone.0127803] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 04/18/2015] [Indexed: 02/05/2023] Open
Abstract
The development of somatic cells in to embryogenic cells occurs in several stages and ends in somatic embryo formation, though most of these biochemical and molecular changes have yet to be elucidated. Somatic embryogenesis coupled with genetic transformation could be a biotechnological tool to improve potential crop yields potential in sugarcane cultivars. The objective of this study was to observe somatic embryo development and to identify differentially expressed proteins in embryogenic (E) and non-embryogenic (NE) callus during maturation treatment. E and NE callus were cultured on maturation culture medium supplemented with different concentrations (0.0, 0.75, 1.5 and 2.0 g L(-1)) of activated charcoal (AC). Somatic embryo formation and differential protein expression were evaluated at days 0 and 21 using shotgun proteomic analyses. Treatment with 1.5 g L(-1) AC resulted in higher somatic embryo maturation rates (158 somatic embryos in 14 days) in E callus but has no effect in NE callus. A total of 752 co-expressed proteins were identified through the SUCEST (The Sugarcane EST Project), including many housekeeping proteins. E callus showed 65 exclusive proteins on day 0, including dehydrogenase, desiccation-related protein, callose synthase 1 and nitric oxide synthase. After 21 days on maturation treatment, 14 exclusive proteins were identified in E callus, including catalase and secreted protein. NE callus showed 23 exclusive proteins on day 0 and 10 exclusive proteins after 21 days on maturation treatment, including many proteins related to protein degradation. The induction of maturation leads to somatic embryo development, which likely depends on the expression of specific proteins throughout the process, as seen in E callus under maturation treatment. On the other hand, some exclusive proteins can also specifically prevent of somatic embryos development, as seen in the NE callus.
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Affiliation(s)
- Angelo Schuabb Heringer
- Laboratório de Biotecnologia, Centro de Biociências e Biotecnologia (CBB), Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF). Campos dos Goytacazes, RJ, Brazil
| | - Tatiana Barroso
- Laboratório de Biotecnologia, Centro de Biociências e Biotecnologia (CBB), Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF). Campos dos Goytacazes, RJ, Brazil
| | - Amanda Ferreira Macedo
- Laboratório de Biologia Celular de Plantas, Instituto de Biociências, Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | | | | | - Eny Iochevet Segal Floh
- Laboratório de Biologia Celular de Plantas, Instituto de Biociências, Universidade de São Paulo (USP), São Paulo, SP, Brazil
| | - Gonçalo Apolinário de Souza-Filho
- Laboratório de Biotecnologia, Centro de Biociências e Biotecnologia (CBB), Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF). Campos dos Goytacazes, RJ, Brazil
| | - Vanildo Silveira
- Laboratório de Biotecnologia, Centro de Biociências e Biotecnologia (CBB), Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF). Campos dos Goytacazes, RJ, Brazil
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Peñuelas J, Sardans J, Estiarte M, Ogaya R, Carnicer J, Coll M, Barbeta A, Rivas-Ubach A, Llusià J, Garbulsky M, Filella I, Jump AS. Evidence of current impact of climate change on life: a walk from genes to the biosphere. GLOBAL CHANGE BIOLOGY 2013; 19:2303-38. [PMID: 23505157 DOI: 10.1111/gcb.12143] [Citation(s) in RCA: 171] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2012] [Revised: 12/31/2012] [Accepted: 01/14/2013] [Indexed: 05/19/2023]
Abstract
We review the evidence of how organisms and populations are currently responding to climate change through phenotypic plasticity, genotypic evolution, changes in distribution and, in some cases, local extinction. Organisms alter their gene expression and metabolism to increase the concentrations of several antistress compounds and to change their physiology, phenology, growth and reproduction in response to climate change. Rapid adaptation and microevolution occur at the population level. Together with these phenotypic and genotypic adaptations, the movement of organisms and the turnover of populations can lead to migration toward habitats with better conditions unless hindered by barriers. Both migration and local extinction of populations have occurred. However, many unknowns for all these processes remain. The roles of phenotypic plasticity and genotypic evolution and their possible trade-offs and links with population structure warrant further research. The application of omic techniques to ecological studies will greatly favor this research. It remains poorly understood how climate change will result in asymmetrical responses of species and how it will interact with other increasing global impacts, such as N eutrophication, changes in environmental N : P ratios and species invasion, among many others. The biogeochemical and biophysical feedbacks on climate of all these changes in vegetation are also poorly understood. We here review the evidence of responses to climate change and discuss the perspectives for increasing our knowledge of the interactions between climate change and life.
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Affiliation(s)
- Josep Peñuelas
- CSIC, Global Ecology Unit CREAF-CEAB-CSIC-UAB, Cerdanyola del Vallès, Catalonia, Spain.
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Generation and Analysis of Expressed Sequence Tags from Chimonanthus praecox (Wintersweet) Flowers for Discovering Stress-Responsive and Floral Development-Related Genes. Comp Funct Genomics 2012; 2012:134596. [PMID: 22536115 PMCID: PMC3318203 DOI: 10.1155/2012/134596] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2011] [Revised: 12/26/2011] [Accepted: 12/26/2011] [Indexed: 11/23/2022] Open
Abstract
A complementary DNA library was constructed from the flowers of Chimonanthus praecox, an ornamental perennial shrub blossoming in winter in China. Eight hundred sixty-seven high-quality expressed sequence tag sequences with an average read length of 673.8 bp were acquired. A nonredundant set of 479 unigenes, including 94 contigs and 385 singletons, was identified after the expressed sequence tags were clustered and assembled. BLAST analysis against the nonredundant protein database and nonredundant nucleotide database revealed that 405 unigenes shared significant homology with known genes. The homologous unigenes were categorized according to Gene Ontology hierarchies (biological, cellular, and molecular). By BLAST analysis and Gene Ontology annotation, 95 unigenes involved in stress and defense and 19 unigenes related to floral development were identified based on existing knowledge. Twelve genes, of which 9 were annotated as “cold response,” were examined by real-time RT-PCR to understand the changes in expression patterns under cold stress and to validate the findings. Fourteen genes, including 11 genes related to floral development, were also detected by real-time RT-PCR to validate the expression patterns in the blooming process and in different tissues. This study provides a useful basis for the genomic analysis of C. praecox.
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