Regulation of the α-expansin gene OsEXPA8 expression affects root system architecture in transgenic rice plants

2014 ◽  
Vol 34 (1) ◽  
pp. 47-57 ◽  
Author(s):  
Ying Wang ◽  
Nana Ma ◽  
Shichun Qiu ◽  
Hanyan Zou ◽  
Guangchao Zang ◽  
...  
Keyword(s):  
Root System ◽  
Transgenic Rice ◽  
System Architecture ◽  
Root System Architecture ◽  
Rice Plants ◽  
Expansin Gene ◽  
Transgenic Rice Plants

OsEXPB2, a β-expansin gene, is involved in rice root system architecture

2015 ◽  
Vol 35 (1) ◽  
Author(s):  
Hanyan Zou ◽  
Yihao Wenwen ◽  
Guangchao Zang ◽  
Zhenhui Kang ◽  
Zhiyong Zhang ◽  
...  
Keyword(s):  
Root System ◽  
System Architecture ◽  
Root System Architecture ◽  
Rice Root ◽  
Expansin Gene

scholarly journals A soybean β-expansin gene GmEXPB2 intrinsically involved in root system architecture responses to abiotic stresses

2011 ◽  
Vol 66 (3) ◽  
pp. 541-552 ◽  
Author(s):  
Wenbing Guo ◽  
Jing Zhao ◽  
Xinxin Li ◽  
Lu Qin ◽  
Xiaolong Yan ◽  
...  
Keyword(s):  
Root System ◽  
System Architecture ◽  
Abiotic Stresses ◽  
Root System Architecture ◽  
Expansin Gene

scholarly journals Regulation of Expansin Gene Expression Affects Growth and Development in Transgenic Rice Plants

2003 ◽  
Vol 15 (6) ◽  
pp. 1386-1398 ◽  
Author(s):  
Dongsu Choi ◽  
Yi Lee ◽  
Hyung-Taeg Cho ◽  
Hans Kende
Keyword(s):  
Gene Expression ◽  
Transgenic Rice ◽  
Growth And Development ◽  
Rice Plants ◽  
Expansin Gene ◽  
Transgenic Rice Plants

Cloning of New Herbicide Resistant Gene in Soil Metagenomics and Generation of Transgenic Rice Plants

2014 ◽  
Vol 40 (7) ◽  
pp. 1190
Author(s):  
Yun-Peng WANG ◽  
Jing-Yong MA ◽  
Rui MA ◽  
Jian MA ◽  
Wen-Guo LIU
Keyword(s):  
Transgenic Rice ◽  
Herbicide Resistant ◽  
Rice Plants ◽  
Resistant Gene ◽  
Transgenic Rice Plants ◽  
Soil Metagenomics

scholarly journals Comprehensive Genome-Wide Association Analysis Reveals the Genetic Basis of Root System Architecture in Soybean

2020 ◽  
Vol 11 ◽  
Author(s):  
Waldiodio Seck ◽  
Davoud Torkamaneh ◽  
François Belzile
Keyword(s):  
Root System ◽  
System Architecture ◽  
Phenotypic Variation ◽  
Genetic Basis ◽  
Genome Wide Association Study ◽  
Primary Root ◽  
Root System Architecture ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Genome Wide

Increasing the understanding genetic basis of the variability in root system architecture (RSA) is essential to improve resource-use efficiency in agriculture systems and to develop climate-resilient crop cultivars. Roots being underground, their direct observation and detailed characterization are challenging. Here, were characterized twelve RSA-related traits in a panel of 137 early maturing soybean lines (Canadian soybean core collection) using rhizoboxes and two-dimensional imaging. Significant phenotypic variation (P < 0.001) was observed among these lines for different RSA-related traits. This panel was genotyped with 2.18 million genome-wide single-nucleotide polymorphisms (SNPs) using a combination of genotyping-by-sequencing and whole-genome sequencing. A total of 10 quantitative trait locus (QTL) regions were detected for root total length and primary root diameter through a comprehensive genome-wide association study. These QTL regions explained from 15 to 25% of the phenotypic variation and contained two putative candidate genes with homology to genes previously reported to play a role in RSA in other species. These genes can serve to accelerate future efforts aimed to dissect genetic architecture of RSA and breed more resilient varieties.

scholarly journals Genome-wide association analysis unveils novel QTLs for seminal root system architecture traits in Ethiopian durum wheat

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Admas Alemu ◽  
Tileye Feyissa ◽  
Marco Maccaferri ◽  
Giuseppe Sciara ◽  
Roberto Tuberosa ◽  
...  
Keyword(s):  
Durum Wheat ◽  
Root System ◽  
System Architecture ◽  
Root Length ◽  
Dry Weight ◽  
Root System Architecture ◽  
High Density ◽  
Soil Conditions ◽  
Root Dry Weight ◽  
Seminal Roots

Abstract Background Genetic improvement of root system architecture is essential to improve water and nutrient use efficiency of crops or to boost their productivity under stress or non-optimal soil conditions. One hundred ninety-two Ethiopian durum wheat accessions comprising 167 historical landraces and 25 modern cultivars were assembled for GWAS analysis to identify QTLs for root system architecture (RSA) traits and genotyped with a high-density 90 K wheat SNP array by Illumina. Results Using a non-roll, paper-based root phenotyping platform, a total of 2880 seedlings and 14,947 seminal roots were measured at the three-leaf stage to collect data for total root length (TRL), total root number (TRN), root growth angle (RGA), average root length (ARL), bulk root dry weight (RDW), individual root dry weight (IRW), bulk shoot dry weight (SDW), presence of six seminal roots per seedling (RT6) and root shoot ratio (RSR). Analysis of variance revealed highly significant differences between accessions for all RSA traits. Four major (− log10P ≥ 4) and 34 nominal (− log10P ≥ 3) QTLs were identified and grouped in 16 RSA QTL clusters across chromosomes. A higher number of significant RSA QTL were identified on chromosome 4B particularly for root vigor traits (root length, number and/or weight). Conclusions After projecting the identified QTLs on to a high-density tetraploid consensus map along with previously reported RSA QTL in both durum and bread wheat, fourteen nominal QTLs were found to be novel and could potentially be used to tailor RSA in elite lines. The major RGA QTLs on chromosome 6AL detected in the current study and reported in previous studies is a good candidate for cloning the causative underlining sequence and identifying the beneficial haplotypes able to positively affect yield under water- or nutrient-limited conditions.

Changes induced by lead in root system architecture of Arabidopsis seedlings are mediated by PDR2-LPR1/2 phosphate dependent way

BioMetals ◽  
2021 ◽  
Author(s):  
Ricardo Ortiz-Luevano ◽  
José López-Bucio ◽  
Miguel Martínez-Trujillo ◽  
Lenin Sánchez-Calderón
Keyword(s):  
Root System ◽  
System Architecture ◽  
Root System Architecture
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