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Novel NAC Transcription Factor TaNAC67 Confers Enhanced Multi-Abiotic Stress Tolerances in Arabidopsis

Overview of attention for article published in PLOS ONE, January 2014
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Title
Novel NAC Transcription Factor TaNAC67 Confers Enhanced Multi-Abiotic Stress Tolerances in Arabidopsis
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0084359
Pubmed ID
Authors

Xinguo Mao, Shuangshuang Chen, Ang Li, Chaochao Zhai, Ruilian Jing

Abstract

Abiotic stresses are major environmental factors that affect agricultural productivity worldwide. NAC transcription factors play pivotal roles in abiotic stress signaling in plants. As a staple crop, wheat production is severely constrained by abiotic stresses whereas only a few NAC transcription factors have been characterized functionally. To promote the application of NAC genes in wheat improvement by biotechnology, a novel NAC gene designated TaNAC67 was characterized in common wheat. To determine its role, transgenic Arabidopsis overexpressing TaNAC67-GFP controlled by the CaMV-35S promoter was generated and subjected to various abiotic stresses for morphological and physiological assays. Gene expression showed that TaNAC67 was involved in response to drought, salt, cold and ABA treatments. Localization assays revealed that TaNAC67 localized in the nucleus. Morphological analysis indicated the transgenics had enhanced tolerances to drought, salt and freezing stresses, simultaneously supported by enhanced expression of multiple abiotic stress responsive genes and improved physiological traits, including strengthened cell membrane stability, retention of higher chlorophyll contents and Na(+) efflux rates, improved photosynthetic potential, and enhanced water retention capability. Overexpression of TaNAC67 resulted in pronounced enhanced tolerances to drought, salt and freezing stresses, therefore it has potential for utilization in transgenic breeding to improve abiotic stress tolerance in crops.

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Geographical breakdown

Country Count As %
Chile 1 <1%
India 1 <1%
Norway 1 <1%
Unknown 111 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 24%
Researcher 19 17%
Student > Doctoral Student 12 11%
Student > Master 10 9%
Student > Bachelor 8 7%
Other 16 14%
Unknown 22 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 54%
Biochemistry, Genetics and Molecular Biology 19 17%
Computer Science 2 2%
Unspecified 1 <1%
Arts and Humanities 1 <1%
Other 3 3%
Unknown 26 23%