The hidden geometry of breeding constraints

IF 15 1区 生物学 Q1 PLANT SCIENCES
Daniel Ortiz-Barrientos, David Jordan, Mark Cooper
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Abstract

Thousands of years of breeding and agronomic change have pushed genetic change into increasingly narrow corridors. The approach has worked effectively, but gains are slowing and much genetic variance expected from heritability estimates is not readily found. We propose that breeding constraints, the practical demands that make crops useful, force genetic exploration onto curved, lower-dimensional surfaces within the larger landscape of possibility. In crops, these constraints arise jointly from genetic choices and management decisions about fertilizer, sowing density, weed and pest control, irrigation and harvest logistics, which together define the range of environments in which genotypes are routinely grown. These constraints may hide certain classes of gene interactions from breeding programmes, creating an additive appearance where the underlying biology may remain epistatic. Selection moves by additive steps, but on a curved, constrained surface: the speed looks additive, but the long-term path follows the geometry of the constraints. This framework particularly applies to major crop species subjected to intensive directional selection over many generations for stable agricultural requirements, the context where constraint-based filtering of genetic variance is most pronounced. When selection has had less opportunity to impose its effects and gene interactions are weak, this geometric filtering may be less consequential. But when epistatic effects shape fitness, constraints could hide substantial genetic potential behind these boundaries. This Perspective suggests potential escape routes from current plateaus: strategic wide crosses, transgene combinations and targeted edits that access genetic variance currently excluded by constraints. Plant breeding programmes based on additive models have performed well, but their gains are plateauing. This framework integrates commercial breeding experience, mathematical rigour and evolutionary genetics to uncover the power and limitations of plant breeding.

Abstract Image

繁殖约束的隐藏几何
数千年的育种和农艺变化将基因变化推向了越来越狭窄的走廊。这种方法有效地发挥了作用,但收益正在放缓,而且从遗传力估计中预期的许多遗传变异并不容易发现。我们提出,育种限制,使作物有用的实际需求,迫使基因探索在更大的可能性范围内弯曲,低维表面。在作物方面,这些制约因素共同来自于有关肥料、播种密度、杂草和病虫害防治、灌溉和收获物流的遗传选择和管理决策,这些因素共同决定了基因型常规种植的环境范围。这些限制可能在育种计划中隐藏了某些类型的基因相互作用,创造了一种附加的外观,其中潜在的生物学可能仍然是上位性的。选择通过附加步骤移动,但在弯曲的、受约束的表面上:速度看起来是附加的,但长期路径遵循约束的几何形状。这一框架特别适用于为稳定农业需求而经过多代密集定向选择的主要作物品种,在这种情况下,基于约束的遗传变异过滤最为明显。当选择没有多少机会施加其影响,基因相互作用很弱时,这种几何过滤可能就不那么重要了。但是,当上位性效应决定了适应性时,约束可能会在这些边界后面隐藏大量的遗传潜力。这一观点提出了摆脱当前停滞期的潜在途径:战略性宽交叉、转基因组合和靶向编辑,这些都是目前被限制在外的遗传变异。基于加法模型的植物育种项目表现良好,但它们的成果正在趋于稳定。该框架整合了商业育种经验,数学严谨和进化遗传学,以揭示植物育种的力量和局限性。
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来源期刊
Nature Plants
Nature Plants PLANT SCIENCES-
CiteScore
25.30
自引率
2.20%
发文量
196
期刊介绍: Nature Plants is an online-only, monthly journal publishing the best research on plants — from their evolution, development, metabolism and environmental interactions to their societal significance.
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