Marker-Assisted Selection (MAS) Revolutionized: Integrating ‘Omics’ Data into Tomato Breeding DOI
Vidadala Rajendra

Published: Jan. 1, 2025

Language: Английский

Multi-Omics Pipeline and Omics-Integration Approach to Decipher Plant’s Abiotic Stress Tolerance Responses DOI Open Access
Rajib Roychowdhury,

Soumya Prakash Das,

Amber Gupta

et al.

Genes, Journal Year: 2023, Volume and Issue: 14(6), P. 1281 - 1281

Published: June 16, 2023

The present day's ongoing global warming and climate change adversely affect plants through imposing environmental (abiotic) stresses disease pressure. major abiotic factors such as drought, heat, cold, salinity, etc., hamper a plant's innate growth development, resulting in reduced yield quality, with the possibility of undesired traits. In 21st century, advent high-throughput sequencing tools, state-of-the-art biotechnological techniques bioinformatic analyzing pipelines led to easy characterization plant traits for stress response tolerance mechanisms by applying 'omics' toolbox. Panomics pipeline including genomics, transcriptomics, proteomics, metabolomics, epigenomics, proteogenomics, interactomics, ionomics, phenomics, have become very handy nowadays. This is important produce climate-smart future crops proper understanding molecular responses genes, transcripts, proteins, epigenome, cellular metabolic circuits resultant phenotype. Instead mono-omics, two or more (hence 'multi-omics') integrated-omics approaches can decipher well. Multi-omics-characterized be used potent genetic resources incorporate into breeding program. For practical utility crop improvement, multi-omics particular combined genome-assisted (GAB) being pyramided improved yield, food quality associated agronomic open new era omics-assisted breeding. Thus, together are able processes, biomarkers, targets engineering, regulatory networks precision agriculture solutions crop's variable ensure security under changing circumstances.

Language: Английский

Citations

92

Plant responses to climate change, how global warming may impact on food security: a critical review DOI Creative Commons
Michela Janni, Elena Maestri, Mariolina Gullì

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 14

Published: Jan. 5, 2024

Global agricultural production must double by 2050 to meet the demands of an increasing world human population but this challenge is further exacerbated climate change. Environmental stress, heat, and drought are key drivers in food security strongly impacts on crop productivity. Moreover, global warming threatening survival many species including those which we rely for production, forcing migration cultivation areas with impoverishing environment genetic variability fall out effects security. This review considers relationship climatic changes their bearing sustainability natural ecosystems, as well role omics-technologies, genomics, proteomics, metabolomics, phenomics ionomics. The use resource saving technologies such precision agriculture new fertilization discussed a focus breeding plants higher tolerance adaptability mitigation tools changes. Nevertheless, exposed multiple stresses. study lays basis proposition novel research paradigm referred holistic approach that went beyond exclusive concept yield, included sustainability, socio-economic commercialization, agroecosystem management.

Language: Английский

Citations

45

Plant secondary metabolites against biotic stresses for sustainable crop protection DOI
Tanzim Jahan, Md. Nurul Huda, Kaixuan Zhang

et al.

Biotechnology Advances, Journal Year: 2025, Volume and Issue: unknown, P. 108520 - 108520

Published: Jan. 1, 2025

Language: Английский

Citations

3

Cotton and drought stress: An updated overview for improving stress tolerance DOI Open Access
Sadia Zafar,

Hadiqa Afzal,

Areeba Ijaz

et al.

South African Journal of Botany, Journal Year: 2023, Volume and Issue: 161, P. 258 - 268

Published: Aug. 18, 2023

Language: Английский

Citations

37

SoyMD: a platform combining multi-omics data with various tools for soybean research and breeding DOI Creative Commons
Zhiquan Yang,

Chengfang Luo,

Xinxin Pei

et al.

Nucleic Acids Research, Journal Year: 2023, Volume and Issue: 52(D1), P. D1639 - D1650

Published: Oct. 9, 2023

Abstract Advanced multi-omics technologies offer much information that can uncover the regulatory mechanisms from genotype to phenotype. In soybean, numerous databases have been published. Although they cover multiple omics, there are still limitations when it comes types and scales of omics datasets analysis methods utilized. This study aims address these by collecting integrating a comprehensive set datasets. includes 38 genomes, transcriptomes 435 tissue samples, 125 phenotypes 6686 accessions, epigenome data involving histone modification, transcription factor binding, chromosomal accessibility interaction, as well genetic variation 24 501 soybean accessions. Then, common pipelines statistical were applied mine datasets, resulting in successful establishment user-friendly database called SoyMD (https://yanglab.hzau.edu.cn/SoyMD/#/). provides researchers with efficient query options tools, allowing them swiftly access relevant conduct analyses. Another notable feature is its capability facilitate candidate genes, demonstrated case on seed oil content. highlights immense potential breeding functional genomics research.

Language: Английский

Citations

25

Crop designs: The ideal root architecture for future crop breeding DOI Creative Commons
Jiaxuan Sui, Huiyu Tian, Zhaojun Ding

et al.

New Crops, Journal Year: 2024, Volume and Issue: 1, P. 100030 - 100030

Published: June 2, 2024

Root system architecture, a crucial agronomic trait for sustainable crop production, is influenced by variety of internal developmental signals and external environmental factors. In this review, we highlight recent advancements in understanding the molecular mechanisms behind root meristem maintenance, cell differentiation, lateral growth, hair development, crown formation. Additionally, explore how abiotic stresses such as drought, salinity, nitrate deficiency, aluminum toxicity impact architecture. We identify key target genes that regulate offering potential targets genome editing future improvement. Finally, discuss opportunities challenges de novo design

Language: Английский

Citations

16

Advances in mass spectrometry imaging for plant metabolomics—Expanding the analytical toolbox DOI
Zhibin Yin, Wenjie Huang, Kun Li

et al.

The Plant Journal, Journal Year: 2024, Volume and Issue: 119(5), P. 2168 - 2180

Published: July 11, 2024

SUMMARY Mass spectrometry imaging (MSI) has become increasingly popular in plant science due to its ability characterize complex chemical, spatial, and temporal aspects of metabolism. Over the past decade, as emerging unique features various MSI techniques have continued support new discoveries studies metabolism closely associated with function physiology, spatial metabolomics based on positioned it at forefront metabolic studies, providing opportunity for far higher resolution than was previously available. Despite these efforts, profound challenges levels resolution, sensitivity, quantitative ability, chemical confidence, isomer discrimination, multi‐omics integration, undoubtedly remain. In this Perspective, we provide a contemporary overview emergent widely used sciences, particular emphasis recent advances methodological breakthroughs. Having established detailed context MSI, outline both golden opportunities key currently facing metabolomics, presenting our vision how enormous potential technologies will contribute progress coming years.

Language: Английский

Citations

11

Special Issue “Molecular Genetics and Plant Breeding 3.0 and 4.0” DOI Open Access
Hai Du

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(5), P. 2030 - 2030

Published: Feb. 26, 2025

Molecular genetics aims to understand the genetic principles and functions of genes at molecular level, while plant breeding apply this information improve traits develop new crop varieties with desired characteristics [...].

Language: Английский

Citations

1

Editorial: Applications of artificial intelligence, machine learning, and deep learning in plant breeding DOI Creative Commons

Maliheh Eftekhari,

Chuang Ma, Yuriy L. Orlov

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: May 22, 2024

Editorial: Applications of artificial intelligence, machine learning, and deep learning in plant breeding

Language: Английский

Citations

8

The role of phenomics and genomics in delineating the genetic basis of complex traits in millets DOI

Yashoda Jadhav,

Niranjan Thakur, Krishnananda Pralhad Ingle

et al.

Physiologia Plantarum, Journal Year: 2024, Volume and Issue: 176(3)

Published: May 1, 2024

Abstract Millets, comprising a diverse group of small‐seeded grains, have emerged as vital crops with immense nutritional, environmental, and economic significance. The comprehension complex traits in millets, influenced by multifaceted genetic determinants, presents compelling challenge opportunity agricultural research. This review delves into the transformative roles phenomics genomics deciphering these intricate architectures. On front, high‐throughput platforms generate rich datasets on plant morphology, physiology, performance environments. data, coupled field trials controlled conditions, helps to interpret how environment interacts genetics. Genomics provides underlying blueprint for traits. Genome sequencing genotyping technologies illuminated millet genome landscape, revealing gene pools evolutionary relationships. Additionally, different omics approaches unveil information expression, protein function, metabolite accumulation driving phenotypic expression. multi‐omics approach is crucial identifying candidate genes unfolding pathways governing highlights synergy between genomics. Genomically informed phenotyping targets specific traits, reducing breeding size cost. Conversely, identifies promising germplasm genomic analysis, prioritizing variants superior performance. dynamic interplay accelerates programs facilitates development climate‐smart, nutrient‐rich varieties hybrids. In conclusion, this emphasizes unlocking enigma millets.

Language: Английский

Citations

6