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对多亲本高级世代互交系群体中的数量性状基因座进行定位,发现了控制不定根发育的激素响应基因。

Mapping Quantitative Trait Loci in MAGIC Lines Uncovers Hormone-Responsive Genes Controlling Adventitious Root Development.

作者信息

López-Ruiz Brenda Anabel, Banta Joshua, Salazar-Hernández Perla, Espinoza-Gutiérrez Daniela, Alfaro-Mendoza Andrea, Rosas Ulises

机构信息

Jardín Botánico, Instituto de Biología, Universidad Nacional Autónoma de México, México City 04510, Mexico.

Department of Biology and Center for Environment, Biodiversity, and Conservation, University of Texas at Tyler, 3900 University Blvd., Tyler, TX 75799, USA.

出版信息

Plants (Basel). 2025 May 22;14(11):1574. doi: 10.3390/plants14111574.

DOI:10.3390/plants14111574
PMID:40508250
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12157790/
Abstract

The Multi-Parent Advanced Generation Inter-Cross (MAGIC) population is a powerful tool for dissecting the genetic architecture controlling natural variation in complex traits. In this work, the natural variation available in MAGIC lines was evaluated by mapping quantitative trait loci (QTLs) for primary root length (PRL), lateral root number (LRN), lateral root length (LRL), adventitious root number (ARN), and adventitious root length (ARL). We analyzed the differences in the root structure of 139 MAGIC lines by measuring PRL, LRN, LRL, ARN, and ARL. Through QTL mapping, we identified new potential genes that may be responsible for these traits. Furthermore, we detected single-nucleotide polymorphisms (SNPs) in the coding regions of candidate genes in the founder accessions and the recombinant inbred lines (RILs). We identified a significant region on chromosome 1 associated with AR formation. This region encompasses 316 genes, many of which are involved in auxin and gibberellin signaling and homeostasis. We discovered SNPs in the coding regions of these candidate genes in the founder accessions that may contribute to natural variation in AR characteristics. Additionally, we found a novel gene that encodes a protein from the hydroxyproline-rich glycoprotein family, which exhibits differential SNPs in accessions with contrasting AR formation. This study provides genetic insights into the natural variation in AR numbers using MAGIC lines linked to hormone-related genes.

摘要

多亲代高级世代杂交(MAGIC)群体是剖析控制复杂性状自然变异的遗传结构的有力工具。在这项工作中,通过对主根长度(PRL)、侧根数量(LRN)、侧根长度(LRL)、不定根数量(ARN)和不定根长度(ARL)进行数量性状位点(QTL)定位,评估了MAGIC系中可用的自然变异。我们通过测量PRL、LRN、LRL、ARN和ARL分析了139个MAGIC系的根系结构差异。通过QTL定位,我们鉴定出了可能与这些性状相关的新的潜在基因。此外,我们在奠基材料和重组自交系(RIL)的候选基因编码区检测到了单核苷酸多态性(SNP)。我们在1号染色体上鉴定出一个与不定根形成相关的显著区域。该区域包含316个基因,其中许多基因参与生长素和赤霉素信号传导及稳态。我们在奠基材料的这些候选基因编码区发现了可能导致不定根特征自然变异的SNP。此外,我们发现了一个新基因,它编码一种富含羟脯氨酸糖蛋白家族的蛋白质,在不定根形成情况不同的材料中表现出不同的SNP。本研究利用与激素相关基因连锁的MAGIC系,为不定根数量的自然变异提供了遗传学见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/a1ae4751808e/plants-14-01574-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/726a681538cf/plants-14-01574-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/fa8004072d72/plants-14-01574-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/9b0f4999d1e6/plants-14-01574-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/5808287ff917/plants-14-01574-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/a1ae4751808e/plants-14-01574-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/726a681538cf/plants-14-01574-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/fa8004072d72/plants-14-01574-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/9b0f4999d1e6/plants-14-01574-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/5808287ff917/plants-14-01574-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c096/12157790/a1ae4751808e/plants-14-01574-g005.jpg

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本文引用的文献

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Plants (Basel). 2022 Nov 18;11(22):3162. doi: 10.3390/plants11223162.
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Genetic regulation of lateral root development.侧根发育的遗传调控。
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Transcriptional landscapes of de novo root regeneration from detached Arabidopsis leaves revealed by time-lapse and single-cell RNA sequencing analyses.
通过延时和单细胞 RNA 测序分析揭示了拟南芥离体叶片从头再生根的转录景观。
Plant Commun. 2022 Jul 11;3(4):100306. doi: 10.1016/j.xplc.2022.100306. Epub 2022 Feb 25.
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Applications of Multi-Omics Technologies for Crop Improvement.多组学技术在作物改良中的应用
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