Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Exploring the oasis of plant genomes: From genetic variations to function and beyond.

Molecular plant - 6 Jul 2026

Han Xu, Zong Zhanxiang, Ning Weidong, Zhang Yuting, Tan Zengdong, Liu Yunhao, Song Yukun, Long Qiyuan, Xiang Yuyan, Lu Shaoping, Yao Xuan, Zhao Hu, Guo Liang

Abstract excerpt

For decades, plant geneticists have been striving to elucidate the biological mechanisms by which genetic variation (GV) influences complex traits. Plant breeders, in turn, create, select, and combine desirable GVs based on a full evaluation of GVs' effects. However, deciphering the functional consequences of GVs within the vast plant genome is akin to searching for an oasis in the desert-a daunting task...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Genetic Variation
Share to Genome, Plant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Plant Breeding

Share to Plants

Share to Quantitative Trait Loci

Source

Identifiers

PMID: 42177617
DOI: 10.1016/j.molp.2026.05.014

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Exploring the oasis of plant genomes: From genetic variations to function and beyond.PMID 42177617Read ↗

Accelerating structure-function mapping using the ViVa webtool to mine natural variationSemantic proximity Read ↗

Genetic architecture of naturally occurring quantitative traits in plants: an updated synthesis.Semantic proximity Read ↗

G2P datasets: a hub for genomic datasets for predictive modeling in plants and animals.Semantic proximity Read ↗

Eight high-quality genomes reveal pan-genome architecture and ecotype differentiation of Brassica napus.Semantic proximity Read ↗

Long-read sequencing reveals widespread intragenic structural variants in a recent allopolyploid crop plantSemantic proximity Read ↗

G2PMineR: A Genome to Phenome Literature Review Approach.Semantic proximity Read ↗

CropGS-Hub: a comprehensive database of genotype and phenotype resources for genomic prediction in major crops.Semantic proximity Read ↗

Integrating pan-genome analysis, GWAS, and interpretable machine learning to prioritize trait-associated structural variations in Setaria italica.Semantic proximity Read ↗

Graph-based pan-genome reveals structural and sequence variations related to agronomic traits and domestication in cucumber.Semantic proximity Read ↗

A panorama of plant pangenomes.Semantic proximity Read ↗

BnVIR: bridging the genotype-phenotype gap to accelerate mining of candidate variations underlying agronomic traits in Brassica napus.Semantic proximity Read ↗

Broadening the horizon of crop research: a decade of advancements in plant molecular genetics to divulge phenotype governing genes.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.