Zhang Y - Search Results

1

OsWRKY93 Dually Functions Between Leaf Senescence and in Response to Biotic Stress in Rice.

Li Y, Liao S, Mei P, Pan Y, Zhang Y, Zheng X, Xie Y, Miao Y. Li Y, et al. Among authors: zhang y. Front Plant Sci. 2021 Mar 22;12:643011. doi: 10.3389/fpls.2021.643011. eCollection 2021. Front Plant Sci. 2021. PMID: 33828575 Free PMC article.

2

Transcriptome-Based WGCNA Analysis Reveals Regulated Metabolite Fluxes between Floral Color and Scent in Narcissus tazetta Flower.

Yang J, Ren Y, Zhang D, Chen X, Huang J, Xu Y, Aucapiña CB, Zhang Y, Miao Y. Yang J, et al. Among authors: zhang d, zhang y. Int J Mol Sci. 2021 Jul 31;22(15):8249. doi: 10.3390/ijms22158249. Int J Mol Sci. 2021. PMID: 34361014 Free PMC article.

3

Five OsS40 Family Members Are Identified as Senescence-Related Genes in Rice by Reverse Genetics Approach.

Habiba, Xu J, Gad AG, Luo Y, Fan C, Uddin JBG, Ul Ain N, Huang C, Zhang Y, Miao Y, Zheng X. Habiba, et al. Among authors: zhang y. Front Plant Sci. 2021 Sep 3;12:701529. doi: 10.3389/fpls.2021.701529. eCollection 2021. Front Plant Sci. 2021. PMID: 34539694 Free PMC article.

4

Genome-wide H3K9 acetylation level increases with age-dependent senescence of flag leaf in rice.

Zhang Y, Li Y, Zhang Y, Zhang Z, Zhang D, Wang X, Lai B, Huang D, Gu L, Xie Y, Miao Y. Zhang Y, et al. Among authors: zhang d, zhang z. J Exp Bot. 2022 Aug 11;73(14):4696-4715. doi: 10.1093/jxb/erac155. J Exp Bot. 2022. PMID: 35429161

5

Ubiquitome profiling reveals a regulatory pattern of UPL3 with UBP12 on metabolic-leaf senescence.

Lan W, Ma W, Zheng S, Qiu Y, Zhang H, Lu H, Zhang Y, Miao Y. Lan W, et al. Among authors: zhang h, zhang y. Life Sci Alliance. 2022 Aug 4;5(12):e202201492. doi: 10.26508/lsa.202201492. Life Sci Alliance. 2022. PMID: 35926874 Free PMC article.

6

Transcriptome analysis reveals key genes involved in the resistance to Cryphonectria parasitica during early disease development in Chinese chestnut.

Nie X, Zhao S, Hao Y, Gu S, Zhang Y, Qi B, Xing Y, Qin L. Nie X, et al. Among authors: zhang y. BMC Plant Biol. 2023 Feb 6;23(1):79. doi: 10.1186/s12870-023-04072-7. BMC Plant Biol. 2023. PMID: 36740701 Free PMC article.

7

Genome-wide identification and expression analysis of AP2/ERF transcription factors in sugarcane (Saccharum spontaneum L.).

Li P, Chai Z, Lin P, Huang C, Huang G, Xu L, Deng Z, Zhang M, Zhang Y, Zhao X. Li P, et al. Among authors: zhang m, zhang y. BMC Genomics. 2020 Oct 2;21(1):685. doi: 10.1186/s12864-020-07076-x. BMC Genomics. 2020. PMID: 33008299 Free PMC article.

8

Gene Co-Expression Analysis Reveals Transcriptome Divergence between Wild and Cultivated Sugarcane under Drought Stress.

Li P, Lin P, Zhao Z, Li Z, Liu Y, Huang C, Huang G, Xu L, Deng Z, Zhang Y, Zhao X. Li P, et al. Among authors: zhang y. Int J Mol Sci. 2022 Jan 5;23(1):569. doi: 10.3390/ijms23010569. Int J Mol Sci. 2022. PMID: 35008994 Free PMC article.

9

High-quality ice plant reference genome analysis provides insights into genome evolution and allows exploration of genes involved in the transition from C3 to CAM pathways.

Shen S, Li N, Wang Y, Zhou R, Sun P, Lin H, Chen W, Yu T, Liu Z, Wang Z, Tan X, Zhu C, Feng S, Zhang Y, Song X. Shen S, et al. Among authors: zhang y. Plant Biotechnol J. 2022 Nov;20(11):2107-2122. doi: 10.1111/pbi.13892. Epub 2022 Aug 1. Plant Biotechnol J. 2022. PMID: 35838009 Free PMC article.

10

The metabolism and detoxification effects of lead exposure on Aleurolyphus ovatus (Acari: Acaridae) via transcriptome analysis.

Dai Y, Zhang Y, Sun W, Chen Y, Wang X, Xin T, Wan B, Xia B, Zhong L, Zou Z. Dai Y, et al. Among authors: zhang y. Chemosphere. 2023 Aug;333:138886. doi: 10.1016/j.chemosphere.2023.138886. Epub 2023 May 8. Chemosphere. 2023. PMID: 37164204

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