Evidence map›Paper›PMID 27279932›Full record

ArticleBiomicrofluidics2016

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

Zhen Xu, Huawei Jiang, Binod Bihari Sahu, Sekhar Kambakam, Prashant Singh, Xinran Wang, Qiugu Wang, Madan K Bhattacharyya, Liang Dong

Erratum issuedAbstract read
In one paragraph

Article in Biomicrofluidics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Microfluidic tools for lipid production and modification: a review.Environmental science and pollution research international · 2019
    Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Zhen XuDepartment of Electrical and Computer Engineering, Iowa State University , Ames, Iowa 50011, USA.ORCID 0000-0002-0709-2417
Huawei JiangDepartment of Electrical and Computer Engineering, Iowa State University , Ames, Iowa 50011, USA.
Binod Bihari Sahu
Sekhar KambakamDepartment of Agronomy, Iowa State University , Ames, Iowa 50011, USA.
Prashant Singh
Xinran WangDepartment of Electrical and Computer Engineering, Iowa State University , Ames, Iowa 50011, USA.
Qiugu WangDepartment of Electrical and Computer Engineering, Iowa State University , Ames, Iowa 50011, USA.
Madan K BhattacharyyaDepartment of Agronomy, Iowa State University , Ames, Iowa 50011, USA.
Liang DongDepartment of Electrical and Computer Engineering, Iowa State University , Ames, Iowa 50011, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID27279932
PMCPMC4874926

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.