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龙爪稷的复杂性:基因组分析及其在作物改良中的意义。

The complexity of kodo millet: genomic analysis and implications in crop improvement.

作者信息

Mishra Pratikshya, Nanda Sourav Ranjan, Barpanda Tanya, Dash Manasi, Dash Suman, Choudhury Suman, Roul Sarojini, Mishra Abinash

机构信息

Department of Plant Breeding and Genetics, College of Agriculture, Odisha University of Agriculture & Technology, Bhubaneswar, Odisha, India.

出版信息

Planta. 2024 Dec 16;261(1):15. doi: 10.1007/s00425-024-04588-8.

DOI:10.1007/s00425-024-04588-8
PMID:39680216
Abstract

This article explores possible future initiatives, such as the development of targeted breeding and integrated omics approach to boost kodo millet production, nutritional value, and environmental adaptation. Kodo millet is grouped under the genus Paspalum and family Gramineae. It is a tropical African crop that was initially domesticated in India approximately 3000 years ago. It is predominantly cultivated in India as well as in various south-east Asian countries. Recent years have witnessed a resurgence of interest in kodo millet breeding, particularly owing to its outstanding nutritional profile. Kodo millet's ability to adapt to different marginal environments makes it promising to be grown as a part of sustainable agriculture. Availability of a plethora of diverse genetic resources in kodo millet has been instrumental in development of various improved cultivars through conventional breeding. Additionally, functional genomics has been instrumental in decoding the complex genetic architecture of kodo millet, thus enabling identification of key genes associated with drought tolerance, disease resistance, and improved nutritional profiling. Additionally, transcriptomics has deepened the insights into gene expression pattern in response to various stresses, offering valuable information for developing resistant genotypes. The expressed sequence tags (ESTs) available will surely benefit the scientists working on molecular breeding of millets through development and use of SSRs and SNPs markers under the marker assisted selection (MAS) scheme. This article examines potential directions for future research, including the advancement of genomics and targeted breeding approaches for holistic development of the kodo millet.

摘要

本文探讨了未来可能采取的举措,例如开发定向育种和综合组学方法,以提高科多谷的产量、营养价值和环境适应性。科多谷属于雀稗属禾本科。它是一种热带非洲作物,大约在3000年前最初在印度被驯化。它主要在印度以及东南亚各国种植。近年来,人们对科多谷育种的兴趣再度兴起,特别是由于其出色的营养成分。科多谷适应不同边缘环境的能力使其有望成为可持续农业的一部分。科多谷中大量多样的遗传资源有助于通过传统育种培育出各种改良品种。此外,功能基因组学有助于解读科多谷复杂的遗传结构,从而能够鉴定与耐旱性、抗病性和改善营养成分相关的关键基因。此外,转录组学加深了对基因在应对各种胁迫时表达模式的理解,为培育抗性基因型提供了有价值的信息。现有的表达序列标签(EST)肯定会通过在标记辅助选择(MAS)方案下开发和使用SSR和SNP标记,使从事谷子分子育种的科学家受益。本文研究了未来研究的潜在方向,包括基因组学的进展以及科多谷全面发展的定向育种方法。

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Int J Biol Macromol. 2025 Mar;292:139364. doi: 10.1016/j.ijbiomac.2024.139364. Epub 2024 Dec 30.
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Visualizing gaussian-chain like structural models of human α-synuclein in monomeric pre-fibrillar state: Solution SAXS data and modeling analysis.可视化处于单体预纤维状态的人α-突触核蛋白的高斯链状结构模型:溶液小角X射线散射数据与建模分析
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Enrichment of Vitamin A and Vitamin E in Sweet Corn Kernels Through Genomics-Assisted Introgression of Mutant Version of crtRB1 and vte4 Genes.
通过基因组辅助导入crtRB1和vte4基因的突变版本来提高甜玉米籽粒中的维生素A和维生素E含量
Appl Biochem Biotechnol. 2025 Mar;197(3):1889-1905. doi: 10.1007/s12010-024-05104-0. Epub 2024 Dec 2.
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Improvement of little millet (Panicum sumatrense) using novel omics platform and genetic resource integration.利用新型组学平台和遗传资源整合改良小米(Pennisetum sumatrense)。
Planta. 2024 Jul 25;260(3):60. doi: 10.1007/s00425-024-04493-0.
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Protein research in millets: current status and way forward.小米中的蛋白质研究:现状与展望。
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A comprehensive review on genetic modification of plant cell wall for improved saccharification efficiency.植物细胞壁遗传修饰提高糖化效率的综合评述。
Mol Biol Rep. 2023 Dec;50(12):10509-10524. doi: 10.1007/s11033-023-08886-4. Epub 2023 Nov 3.
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NaCl Pretreatment Enhances the Low Temperature Tolerance of Tomato Through Photosynthetic Acclimation.氯化钠预处理通过光合适应增强番茄的低温耐受性。
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Gene. 2023 Feb 20;854:147115. doi: 10.1016/j.gene.2022.147115. Epub 2022 Dec 13.
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Plant Public RNA-seq Database: a comprehensive online database for expression analysis of ~45 000 plant public RNA-Seq libraries.植物公共RNA测序数据库:一个用于约45000个植物公共RNA测序文库表达分析的综合在线数据库。
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