Results 91 to 100 of about 27,140 (186)

Recombination suppression in plant adaptation and speciation

open access: yesNew Phytologist, EarlyView.
Summary Recombination suppression is increasingly recognized as an important facilitator of genomic divergence and speciation, especially under ongoing gene flow. In plants, however, the broader evolutionary consequences and the mechanisms by which recombination suppression arises and spreads are still incompletely understood, reflecting the inherent ...
Xu Zhang   +4 more
wiley   +1 more source

Structural Variations Contribute to Subspeciation and Yield Heterosis in Rice

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Yield heterosis has been extensively exploited in hybrid breeding, with intersubspecific hybrids often exhibiting the most pronounced effects. However, developing elite hybrids remains a laborious and time‐consuming process. The genetic basis of heterosis has been debated for over a century, hindered largely by the lack of high‐quality genomes.
Zhiwu Dan, Yunping Chen, Wenchao Huang
wiley   +1 more source

WRKY Transcription Factors: Integral Regulators of Defence Responses to Biotic Stress in Crops

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Crops are continually challenged by biotic stresses, including fungal, bacterial and viral pathogens and insect pests, which cause substantial yield and quality losses worldwide. WRKY transcription factors constitute a plant‐specific and functionally diverse family that is central to immune regulation.
Dongjiao Wang   +8 more
wiley   +1 more source

Multi-omics approaches to major psychiatric disorders. [PDF]

open access: yesNeuropsychiatr
Oraki Kohshour M   +3 more
europepmc   +1 more source

PlantCTCIP: Chromatin Interaction Prediction Using Convolutional Neural Network and Transformer in Plants

open access: yesPlant Biotechnology Journal, EarlyView.
ABSTRACT Chromatin interactions establish spatial proximity between distant regulatory elements and their target genes, significantly influencing gene expression, and phenotypic traits. In this study, we present a plant chromatin interaction prediction model called PlantCTCIP based on Convolutional Neural Networks and Transformer.
Zhenye Wang   +14 more
wiley   +1 more source

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