Literature DB >> 27279932

Humidity assay for studying plant-pathogen interactions in miniature controlled discrete humidity environments with good throughput.

Zhen Xu1, Huawei Jiang1, Binod Bihari Sahu, Sekhar Kambakam2, Prashant Singh, Xinran Wang1, Qiugu Wang1, Madan K Bhattacharyya2, Liang Dong1.   

Abstract

This paper reports a highly economical and accessible approach to generate different discrete relative humidity conditions in spatially separated wells of a modified multi-well plate for humidity assay of plant-pathogen interactions with good throughput. We demonstrated that a discrete humidity gradient could be formed within a few minutes and maintained over a period of a few days inside the device. The device consisted of a freeway channel in the top layer, multiple compartmented wells in the bottom layer, a water source, and a drying agent source. The combinational effects of evaporation, diffusion, and convection were synergized to establish the stable discrete humidity gradient. The device was employed to study visible and molecular disease phenotypes of soybean in responses to infection by Phytophthora sojae, an oomycete pathogen, under a set of humidity conditions, with two near-isogenic soybean lines, Williams and Williams 82, that differ for a Phytophthora resistance gene (Rps1-k). Our result showed that at 63% relative humidity, the transcript level of the defense gene GmPR1 was at minimum in the susceptible soybean line Williams and at maximal level in the resistant line Williams 82 following P. sojae CC5C infection. In addition, we investigated the effects of environmental temperature, dimensional and geometrical parameters, and other configurational factors on the ability of the device to generate miniature humidity environments. This work represents an exploratory effort to economically and efficiently manipulate humidity environments in a space-limited device and shows a great potential to facilitate humidity assay of plant seed germination and development, pathogen growth, and plant-pathogen interactions. Since the proposed device can be easily made, modified, and operated, it is believed that this present humidity manipulation technology will benefit many laboratories in the area of seed science, plant pathology, and plant-microbe biology, where humidity is an important factor that influences plant disease infection, establishment, and development.

Entities:  

Year:  2016        PMID: 27279932      PMCID: PMC4874926          DOI: 10.1063/1.4950998

Source DB:  PubMed          Journal:  Biomicrofluidics        ISSN: 1932-1058            Impact factor:   2.800


  22 in total

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6.  Electrospun nanofibrous membranes for temperature regulation of microfluidic seed growth chips.

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7.  Dynamic, high precision targeting of growth modulating agents is able to trigger pollen tube growth reorientation.

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8.  Two classes of highly similar coiled coil-nucleotide binding-leucine rich repeat genes isolated from the Rps1-k locus encode Phytophthora resistance in soybean.

Authors:  Hongyu Gao; Narayanan N Narayanan; Lori Ellison; Madan K Bhattacharyya
Journal:  Mol Plant Microbe Interact       Date:  2005-10       Impact factor: 4.171

9.  Plant chip for high-throughput phenotyping of Arabidopsis.

Authors:  Huawei Jiang; Zhen Xu; Maneesha R Aluru; Liang Dong
Journal:  Lab Chip       Date:  2014-04-07       Impact factor: 6.799

10.  Rapid generation of spatially and temporally controllable long-range concentration gradients in a microfluidic device.

Authors:  Yanan Du; Jaesool Shim; Mahesh Vidula; Matthew J Hancock; Edward Lo; Bong Geun Chung; Jeffrey T Borenstein; Masoud Khabiry; Donald M Cropek; Ali Khademhosseini
Journal:  Lab Chip       Date:  2008-12-10       Impact factor: 6.799

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  3 in total

1.  Erratum: "Humidity assay for studying plant-pathogen interactions in miniature controlled discrete humidity environments with good throughput" [Biomicrofluidics 10, 034108 (2016)].

Authors:  Zhen Xu; Huawei Jiang; Binod Bihari Sahu; Sekhar Kambakam; Prashant Singh; Xinran Wang; Qiugu Wang; Madan K Bhattacharyya; Liang Dong
Journal:  Biomicrofluidics       Date:  2016-09-21       Impact factor: 2.800

2.  Microfluidic chip for automated screening of carbon dioxide conditions for microalgal cell growth.

Authors:  Zhen Xu; Yingjun Wang; Yuncong Chen; Martin H Spalding; Liang Dong
Journal:  Biomicrofluidics       Date:  2017-11-22       Impact factor: 2.800

3.  Microfluidic tools for lipid production and modification: a review.

Authors:  Jin-Zheng Wang; Lin-Lin Zhu; Fan Zhang; Richard Ansah Herman; Wen-Jing Li; Xue-Jiao Zhou; Fu-An Wu; Jun Wang
Journal:  Environ Sci Pollut Res Int       Date:  2019-07-20       Impact factor: 4.223

  3 in total

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