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通过生理偶联-解偶联和网络重排效应培育的水稻重组自交系中新型且超常规的耐盐性

Novel and Transgressive Salinity Tolerance in Recombinant Inbred Lines of Rice Created by Physiological Coupling-Uncoupling and Network Rewiring Effects.

作者信息

Pabuayon Isaiah C M, Kitazumi Ai, Cushman Kevin R, Singh Rakesh Kumar, Gregorio Glenn B, Dhatt Balpreet, Zabet-Moghaddam Masoud, Walia Harkamal, de Los Reyes Benildo G

机构信息

Department of Plant and Soil Science, Texas Tech University, Lubbock, TX, United States.

International Rice Research Institute, Los Baños, Philippines.

出版信息

Front Plant Sci. 2021 Feb 23;12:615277. doi: 10.3389/fpls.2021.615277. eCollection 2021.

DOI:10.3389/fpls.2021.615277
PMID:33708229
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7940525/
Abstract

The phenomenon of transgressive segregation, where a small minority of recombinants are outliers relative to the range of parental phenotypes, is commonly observed in plant breeding populations. While this phenomenon has been attributed to complementation and epistatic effects, the physiological and developmental synergism involved have not been fully illuminated by the QTL mapping approach alone, especially for stress-adaptive traits involving highly complex interactions. By systems-level profiling of the IR29 × Pokkali recombinant inbred population of rice, we addressed the hypothesis that novel salinity tolerance phenotypes are created by reconfigured physiological networks due to positive or negative coupling-uncoupling of developmental and physiological attributes of each parent. Real-time growth and hyperspectral profiling distinguished the transgressive individuals in terms of stress penalty to growth. Non-parental network signatures that led to either optimal or non-optimal integration of developmental with stress-related mechanisms were evident at the macro-physiological, biochemical, metabolic, and transcriptomic levels. Large positive net gain in super-tolerant progeny was due to ideal complementation of beneficial traits while shedding antagonistic traits. Super-sensitivity was explained by the stacking of multiple antagonistic traits and loss of major beneficial traits. The synergism uncovered by the phenomics approach in this study supports the modern views of the Omnigenic Theory, emphasizing the synergy or lack thereof between core and peripheral components. This study also supports a breeding paradigm rooted on genomic modeling from multi-dimensional genetic, physiological, and phenotypic profiles to create novel adaptive traits for new crop varieties of the 21st century.

摘要

在植物育种群体中,通常会观察到超亲分离现象,即一小部分重组体相对于亲本表型范围而言属于异常值。虽然这种现象被归因于互补作用和上位效应,但仅靠数量性状位点(QTL)定位方法尚未完全阐明其中涉及的生理和发育协同作用,特别是对于涉及高度复杂相互作用的胁迫适应性性状。通过对水稻IR29×Pokkali重组自交群体进行系统水平的分析,我们验证了这样一个假设:由于每个亲本发育和生理特性的正负耦合-解耦作用,重新配置的生理网络创造了新的耐盐性表型。实时生长和高光谱分析从生长的胁迫代价方面区分了超亲个体。在宏观生理、生化、代谢和转录组水平上,导致发育与胁迫相关机制实现最佳或非最佳整合的非亲本网络特征很明显。超耐盐后代的大量正向净增益是由于有益性状的理想互补,同时摒弃了拮抗性状。超敏性则是由多种拮抗性状的叠加以及主要有益性状的丧失所解释。本研究中表型组学方法揭示的协同作用支持了全基因理论的现代观点,强调了核心和外围成分之间的协同作用或缺乏协同作用。本研究还支持一种基于多维遗传、生理和表型谱的基因组建模的育种范式,以创造21世纪新作物品种的新型适应性性状。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/dbf1a719bedf/fpls-12-615277-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/3460b8726cc6/fpls-12-615277-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/ed49144f762b/fpls-12-615277-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/fa02f9c0a88c/fpls-12-615277-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/4ccf9ae34812/fpls-12-615277-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/53cfe4c7bf18/fpls-12-615277-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/74ba6b5138d5/fpls-12-615277-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/dbf1a719bedf/fpls-12-615277-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/3460b8726cc6/fpls-12-615277-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/ed49144f762b/fpls-12-615277-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/3c710da7bac3/fpls-12-615277-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/d1971bcf6734/fpls-12-615277-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/fa02f9c0a88c/fpls-12-615277-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/4ccf9ae34812/fpls-12-615277-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/53cfe4c7bf18/fpls-12-615277-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/74ba6b5138d5/fpls-12-615277-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f007/7940525/dbf1a719bedf/fpls-12-615277-g009.jpg

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