Dataset Information

ITRAQ-based quantitative proteomic analysis reveals new metabolic pathways responding to cold stress in two Winter Turnip Rape (Brassica rapa L.), part 2

ABSTRACT: Winter turnip rape (Brassica rapa L.) is a valuable ecologically beneficial oil crop that is produced mainly for its ability of conserving soil and water in winter and spring and its high quality edible oil in northwestern China. However, coldness and extremely low temperature negatively affects the growth and development of winter turnip rape, resulting in failure to overwinter and production in northwestern China. ‘Longyou 7’(Brassica rapa L.) and ‘Tianyou 4’ (Brassica rapa L.) are closely related plant species, but their cold tolerances are different. ‘Longyou 7’ is a cold-tolerant cultivar, ‘Tianyou 4’is a cold-sensitive cultivar. In this study, we used iTRAQ-based proteomics to compare quantitative changes in the proteome of two winter turnip rape leaves and roots in response to cold stress to elucidate the possible molecular mechanism underlying the ability of ‘Longyou 7’ to adapt to cold stress.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Brassica Rapa Subsp. Rapa

TISSUE(S): Leaf

SUBMITTER: zeng xiucun

LAB HEAD: Zeng XiuCun

PROVIDER: PXD008195 | Pride | 2019-11-12

REPOSITORIES: Pride

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Publications

iTRAQ-Based Quantitative Proteome Revealed Metabolic Changes in Winter Turnip Rape (<i>Brassica rapa</i> L.) under Cold Stress.

Xu Yaozhao Y Zeng Xiucun X Wu Jian J Zhang Fenqin F Li Caixia C Jiang Jinjin J Wang Youping Y Sun Wancang W

International journal of molecular sciences 20181026 11

Winter turnip rape (<i>Brassica rapa</i> L.) is a large-scale winter-only oil crop cultivated in Northwest China. However, its cold-resistant molecular mechanism remains inadequate. Studying the cold adaptation mechanisms of winter turnip rape based on the proteomic technique of isobaric tags for relative and absolute quantification (iTRAQ) offers a solution to this problem. Under cold stress (-4 °C for eight hours), 51 and 94 differently accumulated proteins (DAPs) in Longyou 7 (cold-tolerant) ...[more]

PMID: 30373160

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Project description:The aim of this study was to identify eQTL in Brassica rapa grown under altered soil phosphorus (P) supply, to understand better the genetic architecture of P-use efficiency (PUE) in plants. Recombinant inbred lines (RILs) of the BraIRRI mapping population were grown at adequate and growth-limiting soil P. Variation in leaf gene expression was quantified using an Agilent Brassica 95k oligonucleotide array. Informative gene expression markers (GEMs) were used to map eQTL and PUE-related QTL. Gene expression was highly dependent on soil P supply. However, the altered expression of many genes, including known P-responsive genes, was highly heritable. Interval mapping using P supply as a covariate revealed 18,876 eQTL, representing 15,912 unique probes. Notable trans-eQTL hotspots occurred on chromosomes A06 and A01; these were enriched with protein modification and phosphorus metabolism-related (A06), as well as chloroplast and photosynthesis-related (A01) transcripts. Regulatory loci and genes associated with P-use efficiency identified through eQTL analysis are potential targets for further characterisation and may have potential for crop improvement. Availability of the annotated B. rapa genome sequence will facilitate their study, including the separation of cis- and trans- effects. The experiment was designed to identify expression QTL associated with availability of phosphorus in Brassica rapa. Seventy-eight informative lines from the “BraIRRI” mapping population of Brassica rapa L. (2n = 2x = 10; A-genome) and the two parent lines (IMB211, female; R500, male) were selected for study. The establishment of the BraIRRI population is described by Iniguez-Luy et al. (2009). Plants were grown from seed in compost, under two [P]ext treatments of 9 mg L-1 (low) or 30 mg L-1 (optimal) Olsen extractable P. RNA was extracted from leaf samples from one experimental run (78 lines at low and optimal [P]ext, with one line duplicated i.e. 158 samples), and from leaf samples from the parent lines at low and optimal P in all three experimental runs (12 samples) using a modified TRIzol extraction method (Hammond et al., 2006).

Dataset Information

ITRAQ-based quantitative proteomic analysis reveals new metabolic pathways responding to cold stress in two Winter Turnip Rape (Brassica rapa L.), part 2

Publications

iTRAQ-Based Quantitative Proteome Revealed Metabolic Changes in Winter Turnip Rape (<i>Brassica rapa</i> L.) under Cold Stress.

Similar Datasets

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