Evidence map›Paper›PMID 23324106›Full record

ArticleBMC genomics2013

Transcriptomic profiling of the salt-stress response in the wild recretohalophyte Reaumuria trigyna.

Zhen-hua Dang, Lin-lin Zheng, Jia Wang, Zhe Gao, Shu-biao Wu, Zhi Qi, Ying-chun Wang

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Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

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83citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

83 citing papers in PubMed.

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  15. Ectopic Expression ofInternational journal of molecular sciences · 2023
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  16. Genetic analysis and QTL mapping for silique density in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
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23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhen-hua DangKey Laboratory of Herbage & Endemic Crop Biotechnology, and College of Life Sciences, Inner Mongolia University, Hohhot, 010020, PR China.
Lin-lin Zheng
Jia Wang
Zhe Gao
Shu-biao Wu
Zhi Qi
Ying-chun Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReaumuria trigyna is an endangered small shrub endemic to desert regions in Inner Mongolia. This dicotyledonous recretohalophyte has unique morphological characteristics that allow it to tolerate the stress imposed by semi-desert saline soil. However, it is impossible to explore the mechanisms underlying this tolerance without detailed genomic information. Fortunately, newly developed high-throughput sequencing technologies are powerful tools for de novo sequencing to gain such information for this species.

resultsTwo sequencing libraries prepared from control (C21) and NaCl-treated samples (T43) were sequenced using short reads sequencing technology (Illumina) to investigate changes in the R. trigyna transcriptome in response to salt stress. Among 65340 unigenes, 35495 (52.27%) were annotated with gene descriptions, conserved domains, gene ontology terms, and metabolic pathways with a cut-off E-value of 10-5. These included 44 Gene Ontology (GO) terms, 119 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and 25 Clusters of Orthologous Groups families. By comparing the transcriptomes from control and NaCl-treated plants, 5032 genes showed significantly differences in transcript abundance under salt stress (false discovery rate ≤ 0.001 and |log2Ratio| ≥ 1). These genes were significantly enriched in 29 KEGG pathways and 26 GO terms. The transcription profiles indicated that genes related to ion transport and the reactive oxygen species scavenging system were relevant to the morphological and physiological characteristics of this species. The expression patterns of 30 randomly selected genes resulted from quantitative real-time PCR were basically consistent with their transcript abundance changes identified by RNA-seq.

conclusionsThe present study identified potential genes involved in salt tolerance of R. trigyna. The globally sequenced genes covered a considerable proportion of the R. trigyna transcriptome. These data represent a genetic resource for the discovery of genes related to salt tolerance in this species, and may be a useful source of reference sequences for closely related taxa. These results can also further our understanding of salt tolerance in other halophytes surviving under sodic stress.

Indexed as

Gene Expression ProfilingBiological TransportMolecular Sequence AnnotationReactive Oxygen SpeciesSaltsSalt-Tolerant PlantsSequence AnalysisStress, PhysiologicalTamaricaceaeReactive Oxygen SpeciesSalts

Identifiers

PMID23324106
PMCPMC3562145

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.