Harnessing Single-Cell and Spatial Transcriptomics for Crop Improvement DOI Creative Commons
Yuzhao Hu,

Linkan Dash,

Gregory D. May

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(24), P. 3476 - 3476

Published: Dec. 11, 2024

Single-cell and spatial transcriptomics technologies have significantly advanced our understanding of the molecular mechanisms underlying crop biology. This review presents an update on application these in improvement. The heterogeneity different cell populations within a tissue plays crucial role coordinated response organism to its environment. enables dissection this heterogeneity, offering insights into cell-specific transcriptomic responses plants various environmental stimuli. Spatial complement single-cell approaches by preserving context gene expression profiles, allowing for situ localization transcripts. Together, facilitate discovery novel genes regulatory networks that can be targeted genetic manipulation breeding strategies aimed at enhancing yield, quality, resilience. highlights significant findings from recent studies, discusses expanding roles technologies, explores future opportunities their

Language: Английский

A spatially resolved multi-omic single-cell atlas of soybean development DOI
Xuan Zhang, Ziliang Luo, Alexandre P. Marand

et al.

Cell, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

9

Cross-species single-nucleus analysis reveals the potential role of whole-genome duplication in the evolution of maize flower development DOI Creative Commons
Huawei Feng, Wenjuan Fan, Min Liu

et al.

BMC Genomics, Journal Year: 2025, Volume and Issue: 26(1)

Published: Jan. 3, 2025

Language: Английский

Citations

1

A spatially resolved multiomic single-cell atlas of soybean development DOI
Xuan Zhang, Ziliang Luo, Alexandre P. Marand

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 3, 2024

Summary Cis -regulatory elements (CREs) precisely control spatiotemporal gene expression in cells. Using a spatially resolved single-cell atlas of with chromatin accessibility across ten soybean tissues, we identified 103 distinct cell types and 303,199 accessible regions (ACRs). Nearly 40% the ACRs showed cell-type-specific patterns were enriched for transcription factor (TF) motifs defining diverse identities. We de novo TF explored conservation regulatory networks underpinning legume symbiotic nitrogen fixation. With comprehensive developmental trajectories endosperm embryo, uncovered functional transition three sub-cell endosperm, 13 sucrose transporters sharing DOF11 motif that co-up-regulated late peripheral key embryo cell-type specification regulators during embryogenesis, including homeobox promotes cotyledon parenchyma identity. This resource provides valuable foundation analyzing programs tissues life stages.

Language: Английский

Citations

7

Applications for single-cell and spatial transcriptomics in plant research DOI Creative Commons
Qing Sang, Fanjiang Kong

New Crops, Journal Year: 2024, Volume and Issue: 1, P. 100025 - 100025

Published: May 12, 2024

Cells of multicellular plants possess inherent heterogeneity. Recent progress in single-cell RNA sequencing (scRNA-seq) allows researchers to classify, characterize, and distinguish individual cells at the transcriptome level, enabling identification rare cell populations with functional importance. However, scRNA-seq obscures spatial information about cells. Spatial transcriptomics approaches have substantially improved our capacity detect distribution transcripts throughout tissues, yet it remains challenging characterize whole-transcriptome-level data for single spatially. In this review, we offer a concise overview experimental computational procedures strategies required integrate transcriptomics. We demonstrate their impact on plant fundamental biology, discuss advantages current challenges, provide an outlook future.

Language: Английский

Citations

4

Decoding maize meristems maintenance and differentiation: integrating single-cell and spatial omics DOI
Bin Li, Wenhao Liu, Jie Xu

et al.

Journal of genetics and genomics/Journal of Genetics and Genomics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0

Two-dimensional semantic morphological feature extraction and atlas construction of maize ear leaves DOI Creative Commons
Hongli Song, Weiliang Wen, Ying Zhang

et al.

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 12, 2025

Maize ear leaves have important roles in photosynthesis, nutrient partitioning and hormone regulation. The morphological structural variations observed maize are numerous contribute significantly to the yield. Nevertheless, research on fine-scale morphology of is less, particularly quantitative methods characterize two-dimensional (2D) space absent. This makes it challenging accurately identify 2D leaf shape their cultivars. Therefore, this study presents semantic feature extraction atlas construction, with silking stage association analysis population serving as an example. A three-dimensional (3D) digitizer was employed obtain data from 1,431 belonging 518 inbred lines. then processed using mesh subdivision planar parameterization create models area-preserving characteristics. Additionally, averaged all lines were constructed, 29 features quantified. Based this, 11 extracted through clustering correlation analysis. comprehensive indicator L 2 D based proposed, a constructed accordance ordering. Inbred line identification achieved atlas. results can determine probability that corresponding true ranked within top 10 predicted 0.706, 20 0.810, 45 0.900. enables generation matching features. methodology presented offers novel insights into construction for It also provides theoretical technical foundation drawing

Language: Английский

Citations

0

Decoding cellular transcriptional regulatory networks governing wheat inflorescence development DOI Creative Commons
Jun Xiao, Xuemei Liu, Xuelei Lin

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

Abstract In wheat, inflorescence architecture critically determines yield potential, yet its structural complexity and asynchronous development have hindered cellular-resolution studies of spikelet floret formation. Here, we integrate spatial transcriptomics, high-sensitivity multiplexed error-robust fluorescence in situ hybridization (MERFISH), snRNA-seq across six developmental stages to generate a spatiotemporal atlas the wheat inflorescence. We identified 20 cell types, spatially resolved into three categories: 1) proliferating cells within spikelet, marked by active division; 2) supporting along central axis, including pith, cortex, vasculature; 3) developmental located both inside at base spikelets. The multi-omics approach enabled identification rare type ovary. Trajectory inference revealed that spikelets florets originate from two temporally distinct sub-clusters proliferating cells (R7), each defined high expression regulators. These findings challenge conventional model sequential meristem transitions (inflorescence-spikelet-floret) in wheat. Integration time-series snATAC-seq delineated cellular transcriptional regulatory networks (cTRNs) governing formation, mediated auxin cytokinin signaling, driven MADS-box transcription factors. Cell identity was maintained type-specific accessible chromatin regions (csACRs), which are enriched for SNPs associated with spike-related traits. For instance, csACRs WFZP DUO1 promoters affect TaNAC30 binding, regulating supernumerary phenotypes. Our work provides mechanistic framework identifies cTRN nodes as potential targets optimizing yield-related architecture.

Language: Английский

Citations

0

Coordinated improvement of maize grain yield and protein quality by the ZmMADS8-ZmMADS47-O2 module and a G protein gamma subunit DOI Creative Commons
Yunfu Li, Qiang Ning, Ran Zhao

et al.

The Crop Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0

Comparative transcriptomic analysis of heterotic maize development during kernel filling DOI
Wenyu Li,

Xiangkun Guo,

Wen Yao

et al.

Plant Molecular Biology, Journal Year: 2025, Volume and Issue: 115(2)

Published: April 1, 2025

Language: Английский

Citations

0

Spatial omics for accelerating plant research and crop improvement DOI
Rutwik Barmukh, Vanika Garg, Hao Liu

et al.

Trends in biotechnology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0