Soybean leaves
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ABSTRACT:
PROVIDER: PRJNA1078517 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To identify more targets in soybean, particularly specific targets of Cd-stress-responsive miRNAs, high-throughput degradome sequencing was used. In total, we obtained 8913111 raw reads from the library which was constructed from a mixture of four samples (HX3-CK, HX3-Cd-treatment, ZH24-CK and ZH24-Cd-treatment). After removing the reads without the CAGAG adaptor, 5430126 unique raw-reads were obtained. The unique sequences were aligned to the G. max genome database, and 6516276 reads were mapped to the genome. The mapped reads from the libraries represented 51481 annotated G. max genes.
2013-12-20 | GSE50063 | GEO
Project description:Manganese (Mn) stress is known to be a major limitation for development of soybean, and legume crop productivity globally. However, very little information is available on the adaptive mechanisms, particularly in the important legume crop soybean (Glycine Max L.), which enable leaves to respond to high-Mn availability. Thus, to elucidate these mechanisms in soybean leaves at molecular level, we used an RNA sequencing approach to investigate transcriptomes of the leaves under Mn-sufficient and Pi-excessive conditions. Our investigation revealed that more genes showed altered expression patterns in old leaf than in young leaf under Mn excess, suggesting that the Mn excess-more-sensitive old leaf required expression change in a larger number of genes to cope with high-Mn stress than the Mn excess-less-sensitive young leaf. The functional classification of differentially expressed genes (DEGs) was examined to gain an understanding of how leaves respond to Mn stress, caused by soil Mn excess. As a result, more DEGs involved in nodulation, detoxification, nutrient/ion transport, transcriptional factors, key metabolic pathways, Mn remobilization and signalling were found in Mn-excessive induced old leaves than in Mn-excessive induced young leaves. Our findings have enabled the identification of molecular processes that play important roles in the acclimation of leaves to Mn excess, ultimately leading to the development of Mn-efficient soybean suitable for Mn-excessive soils.
2022-08-16 | GSE118649 | GEO
Project description:Transcriptome analysis of cold-treated leaves (unifoliates) of soybean seedlings were performed. RNAseq analysis was performed using two lanes on a Illumina HiSeq2000 and sequenced on a 100bp, paired-end run.
2018-07-27 | GSE117686 | GEO
Project description:To identify more targets in soybean, particularly specific targets of Cd-stress-responsive miRNAs, high-throughput degradome sequencing was used. In total, we obtained 8913111 raw reads from the library which was constructed from a mixture of four samples (HX3-CK, HX3-Cd-treatment, ZH24-CK and ZH24-Cd-treatment). After removing the reads without the CAGAG adaptor, 5430126 unique raw-reads were obtained. The unique sequences were aligned to the G. max genome database, and 6516276 reads were mapped to the genome. The mapped reads from the libraries represented 51481 annotated G. max genes. Identification of miRNA targerts in soybean roots
2013-12-20 | E-GEOD-50063 | biostudies-arrayexpress
Project description:Low phosphate (LP) availability is a critical limiting factor affecting soybean production. Soybean plants develop a series of strategies to adapt phosphate limitation condition. To know the underlying molecular mechanisms responsible for LP stress response. A label-free quantification (LFQ) analysis of soybean leaves grown under low and high phosphate condition was performed.
2021-09-09 | PXD023343 | Pride
Project description:Purpose: Soybean aphid (Aphis glycines Matsumura; SBA) is major pest of soybean (Glycine max) in the United States of America. One previous study on soybean, soybean-aphid interactions showed that avirulent (biotype 1) and virulent (biotype 2) biotypes can co-occur and potentially interact on resistant and susceptible soybean resulting induced susceptibility. The main objective of this research was to employ RNA sequencing technique to characterize the induced susceptibility effect in which initial feeding by virulent aphids can increase the suitability of avirulent aphids in both susceptible and resistant cultivars. Methods: The data in this submission come from the green house experiment using two genotypes of soybean: susceptible soybean cultivar was LD12-15838R and the resistant cultivar was LD12-15813Ra (with Rag1 gene) and two aphid populations: biotype 1 (avirulent) and biotype 2 (virulent biotype 2). RNA was extracted from the leave samples from resistant and susceptible cultivars treated with no aphids, biotype 2: biotype1 collected at day 1 and no aphids, biotype 2: biotype1 and no aphids: biotype1 at day 11 using PureLink RNA mini kit (Invitrogen, USA). RNA samples were treated with TURBOTM DNase (Invitrogen, USA) to remove any DNA contamination following the manufacturer’s instructions. Assessment of the isolated RNA integrity was performed by 1% agarose gel electrophoresis, and RNA concentration was measured by Nanodrop 2000 (Thermo Fisher Scientific, USA). Three replicates from these treatments in resistant and susceptible cultivars were pooled in equimolar concentration. RNAseq library construction was prepared using Illumina’s TruSeq Stranded mRNA Kit v1 (San Diego, CA). The libraries were quantified by QuBit dsDNA HS Assay (Life Technologies, Carlsbad, CA) and pooled in equimolar concentrations. The libraries were sequenced on an Illumina NextSeq 500 using a NextSeq 500/550 High Output Reagent Cartridge v2 (San Diego, CA) at 75 cycles. Results: A total of 10 RNA libraries were prepared and sequenced with the sequencing depth ranging from 24,779,816 to 29,72,4913. Total reads of 266,535,654 were subjected to FastQC analysis to determine the data quality using various quality metrics such as mean quality scores, per sequence quality scores, per sequence GC content, and sequence length distribution. The phred quality scores per base for all the samples were higher than 30. The GC content ranged from 45 to 46% and followed the normal distribution. After trimming, more than 99% of the reads were retained as the clean and good quality reads. Upon mapping these reads, we obtained high mapping rate ranging from 90.4% to 92.9%. Among the mapped reads, 85.8% to 91.9% reads were uniquely mapped. Conclusions: The objective of this study is to characterize the mechanism of induced susceptibility in soybean via transcriptional response study of soybean in presence of biotype 1 and biotype 2 soybean aphids using RNA-Seq. The data resulted from this study might provide insights into the interactions between soybean and soybean aphids and identify genes, their regulation and enriched pathways that may be associated with resistance or susceptibility to A. glycines.
2019-04-26 | GSE129626 | GEO