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利用遗传图谱和基因组预测改善多年生谷物作物中间偃麦草的复杂农艺性状和驯化性状。

Improving complex agronomic and domestication traits in the perennial grain crop intermediate wheatgrass with genetic mapping and genomic prediction.

作者信息

Bajgain Prabin, Stoll Hannah, Anderson James A

机构信息

Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota, USA.

出版信息

Plant Genome. 2025 Mar;18(1):e20498. doi: 10.1002/tpg2.20498. Epub 2024 Aug 28.

Abstract

The perennial grass Thinopyrum intermedium (intermediate wheatgrass [IWG]) is being domesticated as a food crop. With a deep root system and high biomass, IWG can help reduce soil and water erosion and limit nutrient runoff. As a novel grain crop undergoing domestication, IWG lags in yield, seed size, and other agronomic traits compared to annual grains. Better characterization of trait variation and identification of genetic markers associated with loci controlling the traits could help in further improving this crop. The University of Minnesota's Cycle 5 IWG breeding population of 595 spaced plants was evaluated at two locations in 2021 and 2022 for agronomic traits plant height, grain yield, and spike weight, and domestication traits shatter resistance, free grain threshing, and seed size. Pairwise trait correlations were weak to moderate with the highest correlation observed between seed size and height (0.41). Broad-sense trait heritabilities were high (0.68-0.77) except for spike weight (0.49) and yield (0.44). Association mapping using 24,284 genome-wide single nucleotide polymorphism markers identified 30 main quantitative trait loci (QTLs) across all environments and 32 QTL-by-environment interactions (QTE) at each environment. The genomic prediction model significantly improved predictions when parents were used in the training set and significant QTLs and QTEs used as covariates. Seed size was the best predicted trait with model predictive ability (r) of 0.72; yield was predicted moderately well (r = 0.45). We expect this discovery of significant genomic loci and mostly high trait predictions from genomic prediction models to help improve future IWG breeding populations.

摘要

多年生草本植物中间偃麦草(中间小麦草[IWG])正在被驯化为一种粮食作物。中间小麦草根系发达,生物量高,有助于减少水土流失并限制养分流失。作为一种正在驯化的新型谷物作物,与一年生谷物相比,中间小麦草在产量、种子大小和其他农艺性状方面存在不足。更好地表征性状变异并识别与控制性状的基因座相关的遗传标记,有助于进一步改良这种作物。明尼苏达大学的第5代IWG育种群体由595株间隔种植的植株组成,于2021年和2022年在两个地点对农艺性状株高、籽粒产量和穗重,以及驯化性状抗脱粒性、自由籽粒脱粒性和种子大小进行了评估。成对性状相关性较弱至中等,种子大小和株高之间的相关性最高(0.41)。除穗重(0.49)和产量(0.44)外,广义性状遗传力较高(0.68 - 0.77)。使用24,284个全基因组单核苷酸多态性标记进行的关联分析在所有环境中鉴定出30个主要数量性状位点(QTL),在每个环境中鉴定出32个QTL与环境互作(QTE)。当在训练集中使用亲本并将显著的QTL和QTE用作协变量时,基因组预测模型显著提高了预测效果。种子大小是预测效果最好的性状,模型预测能力(r)为0.72;产量的预测效果中等(r = 0.45)。我们期望这些显著基因组位点的发现以及基因组预测模型大多较高的性状预测结果,将有助于改良未来的中间小麦草育种群体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f41/11726416/0b152ed47632/TPG2-18-e20498-g002.jpg

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