Genome-wide transcript analysis of early maize leaf development reveals gene cohorts associated with the differentiation of C4Kranz anatomy

2013 ◽  
Vol 75 (4) ◽  
pp. 656-670 ◽  
Author(s):  
Peng Wang ◽  
Steven Kelly ◽  
Jim P. Fouracre ◽  
Jane A. Langdale
Keyword(s):  
Leaf Development ◽  
Transcript Analysis ◽  
Maize Leaf ◽  
Genome Wide

Genome-wide identification and transcript analysis during fruit ripening of ACS gene family in sweet orange (Citrus sinensis)

2022 ◽  
Vol 294 ◽  
pp. 110786
Author(s):  
Lifang Sun ◽  
Nasrullah ◽  
Fuzhi Ke ◽  
Zhenpeng Nie ◽  
Jianguo Xu ◽  
...  
Keyword(s):  
Gene Family ◽  
Fruit Ripening ◽  
Citrus Sinensis ◽  
Sweet Orange ◽  
Transcript Analysis ◽  
Genome Wide

scholarly journals Genome-Wide Identification, Characterization, and Transcript Analysis of the TCP Transcription Factors in Vitis vinifera

2019 ◽  
Vol 10 ◽  
Author(s):  
Songtao Jiu ◽  
Yan Xu ◽  
Jiyuan Wang ◽  
Lei Wang ◽  
Shiping Wang ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Vitis Vinifera ◽  
Transcript Analysis ◽  
Genome Wide

scholarly journals Genome-Wide Association Study for Maize Leaf Cuticular Conductance Identifies Candidate Genes Involved in the Regulation of Cuticle Development

2020 ◽  
Vol 10 (5) ◽  
pp. 1671-1683 ◽  
Author(s):  
Meng Lin ◽  
Susanne Matschi ◽  
Miguel Vasquez ◽  
James Chamness ◽  
Nicholas Kaczmar ◽  
...  
Keyword(s):  
Association Study ◽  
Candidate Genes ◽  
Genome Wide Association Study ◽  
Crop Productivity ◽  
Genome Wide Association ◽  
Cell Wall Modification ◽  
Major Barrier ◽  
Maize Leaf ◽  
Genome Wide ◽  
A Genome

The cuticle, a hydrophobic layer of cutin and waxes synthesized by plant epidermal cells, is the major barrier to water loss when stomata are closed at night and under water-limited conditions. Elucidating the genetic architecture of natural variation for leaf cuticular conductance (gc) is important for identifying genes relevant to improving crop productivity in drought-prone environments. To this end, we conducted a genome-wide association study of gc of adult leaves in a maize inbred association panel that was evaluated in four environments (Maricopa, AZ, and San Diego, CA, in 2016 and 2017). Five genomic regions significantly associated with gc were resolved to seven plausible candidate genes (ISTL1, two SEC14 homologs, cyclase-associated protein, a CER7 homolog, GDSL lipase, and β-D-XYLOSIDASE 4). These candidates are potentially involved in cuticle biosynthesis, trafficking and deposition of cuticle lipids, cutin polymerization, and cell wall modification. Laser microdissection RNA sequencing revealed that all these candidate genes, with the exception of the CER7 homolog, were expressed in the zone of the expanding adult maize leaf where cuticle maturation occurs. With direct application to genetic improvement, moderately high average predictive abilities were observed for whole-genome prediction of gc in locations (0.46 and 0.45) and across all environments (0.52). The findings of this study provide novel insights into the genetic control of gc and have the potential to help breeders more effectively develop drought-tolerant maize for target environments.

scholarly journals Parallel Proteomic and Phosphoproteomic Analyses of Successive Stages of Maize Leaf Development

2013 ◽  
Vol 25 (8) ◽  
pp. 2798-2812 ◽  
Author(s):  
Michelle R. Facette ◽  
Zhouxin Shen ◽  
Fjola R. Björnsdóttir ◽  
Steven P. Briggs ◽  
Laurie G. Smith
Keyword(s):  
Leaf Development ◽  
Maize Leaf

scholarly journals Quantitative Genetics of the Maize Leaf Microbiome

2018 ◽  
Vol 2 (4) ◽  
pp. 208-224 ◽  
Author(s):  
Jason G. Wallace ◽  
Karl A. Kremling ◽  
Lynsey L. Kovar ◽  
Edward S. Buckler
Keyword(s):  
Community Diversity ◽  
Exact Nature ◽  
Multiple Traits ◽  
Exact Test ◽  
Maize Leaf ◽  
Microbiome Composition ◽  
Metabolic Functions ◽  
Genome Wide ◽  
Founder Events ◽  
Diversity Metrics

The degree to which the genotype of an organism can affect the composition of its associated microbial communities (“microbiome”) varies by organism and habitat, and in many cases is unknown. We analyzed the metabolically active bacteria of maize leaves across 300 diverse maize lines growing in a common environment. We performed comprehensive heritability analysis for 49 community diversity metrics, 380 bacterial clades, and 9,042 predicted metagenomic functions. We find that only a few bacterial clades (5) and diversity metrics (2) are significantly heritable, while a much larger number of metabolic functions (200) are. Many of these associations appear to be driven by the Methylobacteria in each sample. Among these heritable metabolic traits, Fisher’s exact test identifies significant overrepresentation of traits relating to short-chain carbon metabolism, secretion, and nitrotoluene degradation. Genome-wide association analysis identified a small number of associated loci for these heritable traits, including two that affect multiple traits. Our results indicate that while most of the maize leaf microbiome composition is driven by environmental factors and/or stochastic founder events, a subset of bacterial taxa and metabolic functions is nonetheless significantly impacted by host genetics. Additional work will be needed to identify the exact nature of these interactions and what effects they may have on their host. [Formula: see text] Copyright © 2018 The Author(s). This is an open access article distributed under the CC BY 4.0 International license .

Genome-wide identification of citrus ATP-citrate lyase genes and their transcript analysis in fruits reveals their possible role in citrate utilization

2014 ◽  
Vol 290 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Xiao-Mei Hu ◽  
Cai-Yun Shi ◽  
Xiao Liu ◽  
Long-Fei Jin ◽  
Yong-Zhong Liu ◽  
...  
Keyword(s):  
Transcript Analysis ◽  
Atp Citrate Lyase ◽  
Genome Wide ◽  
Citrate Lyase

scholarly journals Specification of adaxial cell fate during maize leaf development

Development ◽  
2004 ◽  
Vol 131 (18) ◽  
pp. 4533-4544 ◽  
Author(s):  
M. T. Juarez
Keyword(s):  
Cell Fate ◽  
Leaf Development ◽  
Maize Leaf

scholarly journals Maize leaf development under climate change scenarios

2010 ◽  
Vol 45 (11) ◽  
pp. 1227-1236
Author(s):  
Nereu Augusto Streck ◽  
Josana Andréia Langner ◽  
Isabel Lago
Keyword(s):  
Climate Change ◽  
Elevated Temperature ◽  
Air Temperature ◽  
Leaf Development ◽  
Flag Leaf ◽  
Climate Change Scenarios ◽  
Crop Failure ◽  
Maize Leaf ◽  
Late Emergence ◽  
Leaf Appearance

The objective of this work was to simulate maize leaf development in climate change scenarios at Santa Maria, RS, Brazil, considering symmetric and asymmetric increases in air temperature. The model of Wang & Engel for leaf appearance rate (LAR), with genotype-specific coefficients for the maize variety BRS Missões, was used to simulate tip and expanded leaf accumulated number from emergence to flag leaf appearance and expansion, for nine emergence dates from August 15 to April 15. LAR model was run for each emergence date in 100-year climate scenarios: current climate, and +1, +2, +3, +4 and +5°C increase in mean air temperature, with symmetric and asymmetric increase in daily minimum and maximum air temperature. Maize crop failure due to frost decreased in elevated temperature scenarios, in the very early and very late emergence dates, indicating a lengthening in the maize growing season in warmer climates. The leaf development period in maize was shorter in elevated temperature scenarios, with greater shortening in asymmetric temperature increases, indicating that warmer nights accelerate vegetative development in maize.

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