Integrated network analysis and effective tools in plant systems biology

A Fukushima, S Kanaya, K Nishida - Frontiers in plant science, 2014 - frontiersin.org
One of the ultimate goals in plant systems biology is to elucidate the genotype-phenotype
relationship in plant cellular systems. Integrated network analysis that combines omics data …

Gene expression classification for biomarker identification in maize subjected to various biotic stresses

L Nazari, Z Zinati - IEEE/ACM Transactions on Computational …, 2023 - ieeexplore.ieee.org
Various diseases severely affect maize, leading to a significant reduction in yield and crop
quality. Therefore, the identification of genes responsible for tolerance to biotic stress is …

Increase crop resilience to heat stress using omic strategies

R Zhou, F Jiang, L Niu, X Song, L Yu, Y Yang… - Frontiers in Plant …, 2022 - frontiersin.org
Varieties of various crops with high resilience are urgently needed to feed the increased
population in climate change conditions. Human activities and climate change have led to …

Deciphering Pleiotropic Signatures of Regulatory SNPs in Zea mays L. Using Multi-Omics Data and Machine Learning Algorithms

A Haleem, S Klees, AO Schmitt, M Gültas - International Journal of …, 2022 - mdpi.com
Maize is one of the most widely grown cereals in the world. However, to address the
challenges in maize breeding arising from climatic anomalies, there is a need for developing …

'Omics' approaches for crop improvement

AJ Cortés, MÁ Castillejo, R Yockteng - Agronomy, 2023 - mdpi.com
The growing human population and climate change are imposing unprecedented
challenges on the global food supply [1]. To cope with these pressures, crop improvement …

ZEAMAP, a comprehensive database adapted to the maize multi-omics era

S Gui, L Yang, J Li, J Luo, X Xu, J Yuan, L Chen, W Li… - IScience, 2020 - cell.com
As one of the most extensively cultivated crops, maize (Zea mays L.) has been extensively
studied by researchers and breeders for over a century. With advances in high-throughput …

[HTML][HTML] Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data

H Tong, Z Nikoloski - Journal of plant physiology, 2021 - Elsevier
Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of
the breeding cycle in major crops relevant for sustaining present demands for food, feed …

A translatome-transcriptome multi-omics gene regulatory network reveals the complicated functional landscape of maize

W Zhu, X Miao, J Qian, S Chen, Q Jin, M Li, L Han… - Genome Biology, 2023 - Springer
Abstract Background Maize (Zea mays L.) is one of the most important crops worldwide.
Although sophisticated maize gene regulatory networks (GRNs) have been constructed for …

comparative genomics and functional genomics analyses in plants

X Song, Z Liu, H Wan, W Chen, R Zhou… - Frontiers in …, 2021 - frontiersin.org
With rapidly developing sequencing technology and lower sequencing costs, over 500 plant
genomes have been sequenced since the first release of the Arabidopsis thaliana genome …

[PDF][PDF] MODAS: exploring maize germplasm with multi-omics data association studies

S Liu, F Xu, Y Xu, Q Wang, J Yan, J Wang… - Science …, 2022 - researchgate.net
Exploiting crop germplasm with multi-omics data can greatly enhance the power of gene
discovery and interpret the genetic relations of genes. Here, we present MODAS (Multi …