scholarly journals <i>AtDREB2A-CA</i> Influences Root Architecture and Increases Drought Tolerance in Transgenic Cotton

2017 ◽  
Vol 08 (10) ◽  
pp. 1195-1225 ◽  
Author(s):  
Maria Eugênia Lisei-de-Sá ◽  
Fabricio B. M. Arraes ◽  
Giovani G. Brito ◽  
Magda A. Beneventi ◽  
Isabela T. Lourenço-Tessutti ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Root Architecture ◽  
Transgenic Cotton

scholarly journals An Arabidopsis E3 ligase HUB2 increases histone H2B monoubiquitination and enhances drought tolerance in transgenic cotton

2018 ◽  
Vol 17 (3) ◽  
pp. 556-568 ◽  
Author(s):  
Hong Chen ◽  
Hao Feng ◽  
Xueyan Zhang ◽  
Chaojun Zhang ◽  
Tao Wang ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
E3 Ligase ◽  
Transgenic Cotton ◽  
Histone H2b

scholarly journals Silencing GhJUB1L1 (JUB1-like 1) reduces cotton (Gossypium hirsutum) drought tolerance

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259382
Author(s):  
Qian Chen ◽  
Chaoya Bao ◽  
Fan Xu ◽  
Caixia Ma ◽  
Li Huang ◽  
...  
Keyword(s):  
Drought Stress ◽  
Drought Tolerance ◽  
Upland Cotton ◽  
Secondary Cell Wall ◽  
Transcription Activation ◽  
Transgenic Cotton ◽  
Homologous Gene ◽  
Agricultural Industry ◽  
Effects Of Drought ◽  
Stress Related Genes

Drought stress massively restricts plant growth and the yield of crops. Reducing the deleterious effects of drought is necessary for agricultural industry. The plant-specific NAC (NAM, ATAF1/2 and CUC2) transcription factors (TFs) are widely involved in the regulation of plant development and stress response. One of the NAC TF, JUNGBRUNNEN1 (JUB1), has been reported to involve in drought resistance in Arabidopsis. However, little is known of how the JUB1 gene respond to drought stress in cotton. In the present study, we cloned GhJUB1L1, a homologous gene of JUB1 in upland cotton. GhJUB1L1 is preferentially expressed in stem and leaf and could be induced by drought stress. GhJUB1L1 protein localizes to the cell nucleus, and the transcription activation region of which is located in the C-terminal region. Silencing GhJUB1L1 gene via VIGS () reduced cotton drought tolerance, and retarded secondary cell wall (SCW) development. Additionally, the expression of some drought stress-related genes and SCW synthesis-related genes were altered in the GhJUB1L1 silencing plants. Collectively, our findings indicate that GhJUB1L1 may act as a positive regulator in response to drought stress and SCW development in cotton. Our results enriched the roles of NAC TFs in cotton drought tolerance and laid a foundation for the cultivation of transgenic cotton with higher drought tolerance.

scholarly journals Overexpression of the AtLOS5 gene increased abscisic acid level and drought tolerance in transgenic cotton

2012 ◽  
Vol 63 (10) ◽  
pp. 3741-3748 ◽  
Author(s):  
Y. Yue ◽  
M. Zhang ◽  
J. Zhang ◽  
X. Tian ◽  
L. Duan ◽  
...  
Keyword(s):  
Abscisic Acid ◽  
Drought Tolerance ◽  
Acid Level ◽  
Transgenic Cotton ◽  
Abscisic Acid Level

scholarly journals Putative Mechanisms of Drought Tolerance in Maize (Zea mays L.) via Root System Architecture Traits

2019 ◽  
pp. 1-19 ◽  
Author(s):  
A. M. M. Al-Naggar ◽  
M. M. Shafik ◽  
M. O. A. Elsheikh
Keyword(s):  
Water Stress ◽  
Drought Tolerance ◽  
Root System ◽  
Root Architecture ◽  
Dry Weight ◽  
Grain Filling ◽  
Tolerance Index ◽  
Root Branching ◽  
Crown Root ◽  
Drought Tolerant

Identifying maize genotypes with favorable root architecture traits for drought tolerance is prerequisite for initiating a successful breeding program for developing high yielding and drought tolerant varieties of maize. The aims of the present study were: (i) to identify drought tolerant genotypes of maize at flowering and grain filling, (ii) to interpret the correlations between the drought tolerance and root architecture traits and (iii) to identify the putative mechanisms of drought tolerance via root system traits. An experiment was carried out in two years using a split plot design with three replications. The main plots were assigned to three water stress levels, namely: well watering (WW), water stress at flowering (WSF) and water stress at grain filling (WSG), and sub-plots to 22 maize cultivars and populations. Drought tolerance index (DTI) had strong and positive associations with crown root length (CRL), root circumference (RC) and root dry weight (DRW) under both WSF and WSG, a negative correlation with brace root whorls (BW), and positive correlations with crown root number (CN) under WSF and brace root branching (BB) and crown root branching (CB) under WSG. These root traits are therefore considered as putative mechanisms of drought tolerance. The cultivars Pioneer-3444, SC-128, Egaseed-77, SC-10 and TWC-324 showed the most drought tolerant and the highest yielding in a descending order; each had a number of such drought tolerance mechanisms. Further investigation should be conducted to determine the underlying root mechanisms contributing to the selection of water-efficient hybrids of maize.

scholarly journals Expression of drought tolerance in transgenic cotton

ScienceAsia ◽  
2013 ◽  
Vol 39 (1) ◽  
pp. 1 ◽  
Author(s):  
Zeeshan Shamim ◽  
Bushra Rashid ◽  
Shahid ur Rahman ◽  
Tayyab Husnain
Keyword(s):  
Drought Tolerance ◽  
Transgenic Cotton

Revealing the Effects of Potassium on Rice Roots under Moisture Stress

2018 ◽  
Vol 102 (4) ◽  
pp. 28-31
Author(s):  
Kirti Bardhan ◽  
Dipika Patel ◽  
Dhiraji Patel
Keyword(s):  
Drought Stress ◽  
Drought Tolerance ◽  
Root Architecture ◽  
Plant Root ◽  
Moisture Stress ◽  
Rice Roots ◽  
Aerial Parts ◽  
Organ Level ◽  
Plant Root System

The role of K in providing drought tolerance in the aerial parts of plants at the cellular, molecular, tissue, and organ level is well established compared to the plant root system. However, it is known that plants acquire soil water from deeper layers by modifying root architecture. The current study investigated the role of K in changing root architecture to facilitate more water acquisition as a mechanism to mitigate drought stress.

Functional-structural modelling of root water uptake based on measured MRI images of root systems

2020 ◽  
Author(s):  
Tobias Selzner ◽  
Magdalena Landl ◽  
Andreas Pohlmeier ◽  
Daniel Leitner ◽  
Jan Vanderborght ◽  
...  
Keyword(s):  
Hydraulic Conductivity ◽  
Drought Tolerance ◽  
Soil Water ◽  
Water Uptake ◽  
Root Architecture ◽  
Soil Water Potential ◽  
Computational Cost ◽  
Root Water Uptake ◽  
Extreme Weather Events ◽  
Richards Equation

&lt;p&gt;In the course of climate change, the occurrence of extreme weather events is expected to increase. Drought tolerance of crops and careful irrigation management are becoming key factors for global food security and the sustainable resource use of water in agriculture. Root water uptake plays a vital role in drought tolerance. It is influenced by root architecture, plant and soil water status and their respective hydraulic properties. Models of said factors aid in organizing the current state of knowledge and enable a deeper understanding of their respective influence on crop performance. Water uptake by roots leads to a decrease in soil moisture and may cause the formation of soil water potential gradients between the bulk soil and the soil-root interface. Although the Richards equation in theory takes these gradients into account, a very fine discretization of the soil domain is necessary to capture these gradients in simulations. However, especially during drought stress, the drop in hydraulic conductivity in the rhizosphere could have a major impact on the overall water uptake of the root system. In order to investigate computationally feasible alternative approaches for simulations with source terms that take these hydraulic conductivity drops into account, we conducted experiments with lupine plants. The root architecture of the growing plants was measured several times using an MRI. Subsequently, these MRI images were used in a holobench for manual tracing of the roots. We were able to mimic the root growth between the measurement dates using linear interpolation. In addition to root architecture, soil water contents and transpiration rates were monitored. We then used this data to systematically compare the computational effort of different approaches to consider the hydraulic conductivity drop near roots in terms of accuracy and computational cost. Eventually we aim at using these results to improve existing root water uptake models for the presence of hydraulic conductivity drops in the rhizosphere in an efficient and accurate way.&lt;/p&gt;

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