ArticlePloS one2015
De novo assembly and transcriptomic profiling of the grazing response in Stipa grandis.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 17 citations in OpenAlex.
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- Physiological and Transcriptomic Analysis of Two Types of Hami Melons in Low-Temperature Storage.Plants (Basel, Switzerland) · 2025Article
- Physiology and transcriptomics highlight the underlying mechanism of sunflower responses to drought stress and rehydration.iScience · 2023Article
- Multi-omics analysis reveals the molecular changes accompanying heavy-grazing-induced dwarfing ofFrontiers in plant science · 2022Article
- Transcriptome-Wide Gene Expression Plasticity inInternational journal of molecular sciences · 2021Article
- Evidence for extensive hybridisation and past introgression events in feather grasses using genome-wide SNP genotyping.BMC plant biology · 2021Article
- The first draft genome of feather grasses using SMRT sequencing and its implications in molecular studies of Stipa.Scientific reports · 2021Article
- Shoot-Root Interplay Mediates Defoliation-Induced Plant Legacy Effect.Frontiers in plant science · 2021Article
- De novo assembly, annotation, marker discovery, and genetic diversity of the Stipa breviflora Griseb. (Poaceae) response to grazing.PloS one · 2020Article
- De novo transcriptomic profiling of the clonal Leymus chinensis response to long-term overgrazing-induced memory.Scientific reports · 2018Article
- Selection of Reference Genes for qRT-PCR Analysis of Gene Expression in Stipa grandis during Environmental Stresses.PloS one · 2017Article
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStipa grandis (Poaceae) is one of the dominant species in a typical steppe of the Inner Mongolian Plateau. However, primarily due to heavy grazing, the grasslands have become seriously degraded, and S. grandis has developed a special growth-inhibition phenotype against the stressful habitat. Because of the lack of transcriptomic and genomic information, the understanding of the molecular mechanisms underlying the grazing response of S. grandis has been prohibited.
resultsUsing the Illumina HiSeq 2000 platform, two libraries prepared from non-grazing (FS) and overgrazing samples (OS) were sequenced. De novo assembly produced 94,674 unigenes, of which 65,047 unigenes had BLAST hits in the National Center for Biotechnology Information (NCBI) non-redundant (nr) database (E-value < 10-5). In total, 47,747, 26,156 and 40,842 unigenes were assigned to the Gene Ontology (GO), Clusters of Orthologous Group (COG), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, respectively. A total of 13,221 unigenes showed significant differences in expression under the overgrazing condition, with a threshold false discovery rate ≤ 0.001 and an absolute value of log2Ratio ≥ 1. These differentially expressed genes (DEGs) were assigned to 43,257 GO terms and were significantly enriched in 32 KEGG pathways (q-value ≤ 0.05). The alterations in the wound-, drought- and defense-related genes indicate that stressors have an additive effect on the growth inhibition of this species.
conclusionsThis first large-scale transcriptome study will provide important information for further gene expression and functional genomics studies, and it facilitated our investigation of the molecular mechanisms of the S. grandis grazing response and the associated morphological and physiological characteristics.
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