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DeepSAGE based differential gene expression analysis under cold and freeze stress in seabuckthorn (Hippophae rhamnoides L.).

ABSTRACT: Seabuckthorn (Hippophae rhamnoides L.), an important plant species of Indian Himalayas, is well known for its immense medicinal and nutritional value. The plant has the ability to sustain growth in harsh environments of extreme temperatures, drought and salinity. We employed DeepSAGE, a tag based approach, to identify differentially expressed genes under cold and freeze stress in seabuckthorn. In total 36.2 million raw tags including 13.9 million distinct tags were generated using Illumina sequencing platform for three leaf tissue libraries including control (CON), cold stress (CS) and freeze stress (FS). After discarding low quality tags, 35.5 million clean tags including 7 million distinct clean tags were obtained. In all, 11922 differentially expressed genes (DEGs) including 6539 up regulated and 5383 down regulated genes were identified in three comparative setups i.e. CON vs CS, CON vs FS and CS vs FS. Gene ontology and KEGG pathway analysis were performed to assign gene ontology term to DEGs and ascertain their biological functions. DEGs were mapped back to our existing seabuckthorn transcriptome assembly comprising of 88,297 putative unigenes leading to the identification of 428 cold and freeze stress responsive genes. Expression of randomly selected 22 DEGs was validated using qRT-PCR that further supported our DeepSAGE results. The present study provided a comprehensive view of global gene expression profile of seabuckthorn under cold and freeze stresses. The DeepSAGE data could also serve as a valuable resource for further functional genomics studies aiming selection of candidate genes for development of abiotic stress tolerant transgenic plants.

SUBMITTER: Chaudhary S

PROVIDER: S-EPMC4372589 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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DeepSAGE based differential gene expression analysis under cold and freeze stress in seabuckthorn (Hippophae rhamnoides L.).

Chaudhary Saurabh S Sharma Prakash C PC

PloS one 20150324 3

Seabuckthorn (Hippophae rhamnoides L.), an important plant species of Indian Himalayas, is well known for its immense medicinal and nutritional value. The plant has the ability to sustain growth in harsh environments of extreme temperatures, drought and salinity. We employed DeepSAGE, a tag based approach, to identify differentially expressed genes under cold and freeze stress in seabuckthorn. In total 36.2 million raw tags including 13.9 million distinct tags were generated using Illumina seque ...[more]

PMID: 25803684

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Project description:Purpose: Tag-based approach for global gene expression analysis has been revolutionised with the advent of next generation sequencing (NGS) technology. The aim of the present study is to present comprehensive view of differentially expressed genes under cold and freeze stress in seabuckthorn (Hippophae rhamnoides L.) Methods: DeepSAGE, a tag based approach, was used to identify differentially expressed genes under cold and freeze treatments in seabuckthorn (Hippophae rhamnoides L.). The 30 days old plantlets, at six leaves stage, were subjected to cold stress (CS) at 4°C and freeze stress (FS) at -10°C treatment for 6 hr. The seedlings grown at 28°C were taken as control (CON). Total RNA from all the three samples was isolated. Illumina Gene Expression Sample Prep Kit and Solexa Sequencing Chip (Flowcell) were used for tag preparation and the main instruments used for sequencing included Illumina Cluster Station and Illumina HiSeqTM 2000 System. Bioinformatics analysis resulted in to high number of differentially expressed genes under cold and freeze stress. Results: 36.2 million raw tags including 13.9 million distinct tags were generated from three leaf tissue libraries (control, cold stress and freeze stress). After removing low quality tags, 35.5 million clean tags including 7 million distinct clean tags were obtained. In total, 11922 differentially expressed genes (DEGs) were identified including 6539 up regulated and 5383 down regulated genes. Conclusions: DeepSAGE data of seabuckthorn provided useful resource and reference dataset for further functional genomics analysis in seabuckthorn and other important crops. The present study implicated a large number of genes with different biological functions expressing differentially in response to cold and freeze stress treatment. Isolation and further characterization of these genes will help researchers in understanding their role in cold and freeze tolerance in seabuckthorn and may provide important gene resources to be exploited for the development of stress tolerant crop plants in future.

Project description:Seabuckthorn (Hippophae rhamnoides L.), an upcoming superfood plant, has attracted researchers' attention worldwide for its medicinal, nutritional, and socio-economic value, along with its characteristic features to sustain extreme climatic conditions. We have studied microsatellite marker-based genetic and morphometric diversity in 93 collections of H. rhamnoides from different geographic sites representing two regions, namely Leh and Lahaul of the Indian Himalayas. Microsatellite markers were isolated using two different approaches, including screening of microsatellite-enriched genomic library, and in silico screening of in-house developed seabuckthorn EST database and whole transcriptome assembly. In Leh and Lahaul collections, 32 and 30 microsatellite markers were found polymorphic, respectively. All the markers developed for H. rhamnoides showed cross-species transferability to H. salicifolia and H. tibetana. Two to six alleles were recorded in the two sets of collections with an average of 3.71 and 3.53 alleles per locus in Leh and Lahaul collections, respectively. Mean polymorphic information content (PIC) values for microsatellite markers were 0.39 and 0.41 for Leh and Lahaul collections, respectively. The average expected heterozygosity was less than the observed heterozygosity. Wright's fixation index (F IS) varied from (-)0.2045 to 1.0 and (-)0.1688 to 1.0 for Leh and Lahaul collections, respectively. Shannon's informative index (I) remained in the range of 0.6745 to 1.8621, and 0.6824 to 1.6308 for Leh and Lahaul collections, respectively. The UPGMA-based combined dendrogram showed clear demarcation between Leh and Lahaul collections, although a few ecotypes were regrouped with collections from the other region. No significant relationship was observed between the morphological distance matrix and molecular marker distance matrix. The findings of the present study may prove helpful in future breeding and conservation strategies aiming for seabuckthorn improvement.Supplementary informationThe online version contains supplementary material available at 10.1007/s11105-022-01338-6.

Dataset Information

DeepSAGE based differential gene expression analysis under cold and freeze stress in seabuckthorn (Hippophae rhamnoides L.).

Publications

DeepSAGE based differential gene expression analysis under cold and freeze stress in seabuckthorn (Hippophae rhamnoides L.).

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