دورية أكاديمية
أعرض في EDS

Time-Series Chlorophyll Fluorescence Imaging Reveals Dynamic Photosynthetic Fingerprints of sos Mutants to Drought Stress.

التفاصيل البيبلوغرافية
العنوان: Time-Series Chlorophyll Fluorescence Imaging Reveals Dynamic Photosynthetic Fingerprints of sos Mutants to Drought Stress.
المؤلفون: Sun D; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. dzs0015@zju.edu.cn.; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China. dzs0015@zju.edu.cn., Zhu Y; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. zhukvo@zju.edu.cn.; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China. zhukvo@zju.edu.cn., Xu H; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. haixiaxu@zju.edu.cn.; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China. haixiaxu@zju.edu.cn., He Y; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. yhe@zju.edu.cn.; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China. yhe@zju.edu.cn.; State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310058, China. yhe@zju.edu.cn., Cen H; College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. hycen@zju.edu.cn.; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, China. hycen@zju.edu.cn.; State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310058, China. hycen@zju.edu.cn.
المصدر: Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Jun 12; Vol. 19 (12). Date of Electronic Publication: 2019 Jun 12.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : MDPI, c2000-
مواضيع طبية MeSH: Optical Imaging*, Chlorophyll/*chemistry , Photosynthesis/*genetics , Son of Sevenless Protein, Drosophila/*chemistry, Algorithms ; Arabidopsis/genetics ; Arabidopsis/ultrastructure ; Bayes Theorem ; Chlorophyll/isolation & purification ; Droughts ; Neural Networks, Computer ; Principal Component Analysis ; Sodium Chloride/toxicity ; Son of Sevenless Protein, Drosophila/genetics ; Stress, Physiological/genetics ; Support Vector Machine
مستخلص: Resistance to drought stress is one of the most favorable traits in breeding programs yet drought stress is one of the most poorly addressed biological processes for both phenomics and genetics. In this study, we investigated the potential of using a time-series chlorophyll fluorescence (ChlF) analysis to dissect the ChlF fingerprints of salt overly sensitive (SOS) mutants under drought stress. Principle component analysis (PCA) was used to identify a shifting pattern of different genotypes including sos mutants and wild type (WT) Col-0. A time-series deep-learning algorithm, sparse auto encoders (SAEs) neural network, was applied to extract time-series ChlF features which were used in four classification models including linear discriminant analysis (LDA), k-nearest neighbor classifier (KNN), Gaussian naive Bayes (NB) and support vector machine (SVM). The results showed that the discrimination accuracy of sos mutants SOS1-1, SOS2-3, and wild type Col-0 reached 95% with LDA classification model. Sequential forward selection (SFS) algorithm was used to obtain ChlF fingerprints of the shifting pattern, which could address the response of sos mutants and Col-0 to drought stress over time. Parameters including QY , NPQ and Fm , etc. were significantly different between sos mutants and WT. This research proved the potential of ChlF imaging for gene function analysis and the study of drought stress using ChlF in a time-series manner.
References: Proc Natl Acad Sci U S A. 2000 Mar 28;97(7):3735-40. (PMID: 10725350)
Proc Natl Acad Sci U S A. 2000 Jun 6;97(12):6896-901. (PMID: 10823923)
Nat Genet. 2000 Aug;25(4):440-3. (PMID: 10932191)
Plant Cell. 2000 Sep;12(9):1667-78. (PMID: 11006339)
Proc Natl Acad Sci U S A. 2002 Jun 11;99(12):8436-41. (PMID: 12034882)
Annu Rev Plant Biol. 2002;53:247-73. (PMID: 12221975)
Annu Rev Plant Biol. 2004;55:373-99. (PMID: 15377225)
New Phytol. 2006;169(3):623-35. (PMID: 16411964)
Arch Biochem Biophys. 2008 Mar 15;471(2):146-58. (PMID: 18241665)
Plant Cell Environ. 2009 Apr;32(4):327-35. (PMID: 19054345)
Mol Plant. 2009 Jan;2(1):22-31. (PMID: 19529826)
Plant Physiol Biochem. 2010 Jan;48(1):16-20. (PMID: 19932973)
Mol Biol Rep. 2012 Feb;39(2):969-87. (PMID: 21573796)
G3 (Bethesda). 2012 Jan;2(1):29-34. (PMID: 22384379)
Proc Natl Acad Sci U S A. 2013 Jan 8;110(2):791-6. (PMID: 23267063)
Mol Plant. 2013 Mar;6(2):275-86. (PMID: 23355543)
Nat Commun. 2013;4:1910. (PMID: 23715269)
J Exp Bot. 2013 Oct;64(13):3983-98. (PMID: 23913954)
J Exp Bot. 2014 Aug;65(15):4065-95. (PMID: 24868038)
Nat Genet. 2014 Jul;46(7):714-21. (PMID: 24908251)
Photosynth Res. 2014 Nov;122(2):121-58. (PMID: 25119687)
Nature. 2014 Oct 16;514(7522):367-71. (PMID: 25162526)
Trends Plant Sci. 2015 Mar;20(3):139-44. (PMID: 25524213)
Plant Cell Environ. 2015 Aug;38(8):1528-42. (PMID: 25544985)
Plant Methods. 2015 Mar 26;11:23. (PMID: 25870650)
Rice (N Y). 2014 Dec;7(1):16. (PMID: 26055997)
Front Plant Sci. 2015 Aug 10;6:619. (PMID: 26322060)
Front Plant Sci. 2016 Jul 14;7:1029. (PMID: 27471513)
Front Plant Sci. 2016 Sep 28;7:1414. (PMID: 27733855)
J Exp Bot. 2017 Feb 1;68(5):1123-1135. (PMID: 28069780)
J Exp Bot. 2017 Mar 1;68(7):1625-1637. (PMID: 28369547)
Front Plant Sci. 2017 Aug 29;8:1509. (PMID: 28900440)
Plant Methods. 2017 Oct 10;13:80. (PMID: 29051772)
Cell Syst. 2017 Nov 22;5(5):527-531.e3. (PMID: 29102608)
Sci Rep. 2017 Nov 21;7(1):15934. (PMID: 29162881)
Front Plant Sci. 2018 Apr 09;9:468. (PMID: 29686693)
Nature. 2018 May;557(7703):43-49. (PMID: 29695866)
Front Plant Sci. 2018 May 11;9:603. (PMID: 29868063)
Plant Cell. 1998 Jul;10(7):1181-91. (PMID: 9668136)
معلومات مُعتمدة: 31801256 National Natural Science Foundation of China
فهرسة مساهمة: Keywords: Arabidopsis thaliana; chlorophyll fluorescence imaging; drought stress; salt overly sensitive (SOS) pathway
المشرفين على المادة: 0 (Son of Sevenless Protein, Drosophila)
1406-65-1 (Chlorophyll)
451W47IQ8X (Sodium Chloride)
تواريخ الأحداث: Date Created: 20190620 Date Completed: 20191202 Latest Revision: 20200225
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC6631407
DOI: 10.3390/s19122649
PMID: 31212744
قاعدة البيانات: MEDLINE
الوصف
تدمد:1424-8220
DOI:10.3390/s19122649