• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一组和×群体中与生物量相关性状的全基因组关联研究。

Genome-Wide Association Study for Biomass Related Traits in a Panel of and × Populations.

作者信息

Habyarimana Ephrem, De Franceschi Paolo, Ercisli Sezai, Baloch Faheem Shehzad, Dall'Agata Michela

机构信息

CREA Research Center for Cereal and Industrial Crops, Bologna, Italy.

Department of Horticulture, Faculty of Agriculture, Ataturk University, Erzurum, Turkey.

出版信息

Front Plant Sci. 2020 Nov 12;11:551305. doi: 10.3389/fpls.2020.551305. eCollection 2020.

DOI:10.3389/fpls.2020.551305
PMID:33281836
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7688983/
Abstract

The efficient use of sorghum as a renewable energy source requires high biomass yields and reduced agricultural inputs. Hybridization of with wild can help meet both requirements, generating high-yielding and environment friendly perennial sorghum cultivars. Selection efficiency, however, needs to be improved to exploit the genetic potential of the derived recombinant lines and remove weedy and other wild traits. In this work, we present the results from a Genome-Wide Association Study conducted on a diversity panel made up of and an advanced population derived from × multi-parent crosses. The objective was to identify genetic loci controlling biomass yield and biomass-relevant traits for breeding purposes. Plants were phenotyped during four consecutive years for dry biomass yield, dry mass fraction of fresh material, plant height and plant maturity. A genotyping-by-sequencing approach was implemented to obtain 92,383 high quality SNP markers used in this work. Significant marker-trait associations were uncovered across eight of the ten sorghum chromosomes, with two main hotspots near the end of chromosomes 7 and 9, in proximity of dwarfing genes and . No significant marker was found on chromosomes 2 and 4. A large number of significant marker loci associated with biomass yield and biomass-relevant traits showed minor effects on respective plant characteristics, with the exception of seven loci on chromosomes 3, 8, and 9 that explained 5.2-7.8% of phenotypic variability in dry mass yield, dry mass fraction of fresh material, and maturity, and a major effect ( = 16.2%) locus on chromosome 1 for dry mass fraction of fresh material which co-localized with a zinc-finger homeodomain protein possibly involved in the expression of the (Dry stalk) locus. These markers and marker haplotypes identified in this work are expected to boost marker-assisted selection in sorghum breeding.

摘要

高效利用高粱作为可再生能源需要高生物量产量并减少农业投入。将高粱与野生高粱杂交有助于满足这两个要求,培育出高产且环境友好的多年生高粱品种。然而,为了挖掘所得重组系的遗传潜力并去除杂草和其他野生性状,需要提高选择效率。在这项研究中,我们展示了对一个由高粱品种和一个从高粱×高粱多亲本杂交衍生而来的高级群体组成的多样性面板进行全基因组关联研究的结果。目的是鉴定控制生物量产量和与生物量相关性状的基因座,用于育种。连续四年对植株进行表型分析,测定干生物量产量、新鲜材料的干质量分数、株高和植株成熟度。采用测序基因分型方法获得了92383个高质量单核苷酸多态性(SNP)标记,用于本研究。在十个高粱染色体中的八个上发现了显著的标记 - 性状关联,在染色体7和9末端附近有两个主要热点,靠近矮化基因和。在染色体2和4上未发现显著标记。大量与生物量产量和与生物量相关性状相关的显著标记基因座对各自的植株特征影响较小,除了染色体3、8和9上的七个基因座,它们解释了干质量产量、新鲜材料的干质量分数和成熟度中5.2 - 7.8%的表型变异,以及染色体1上一个对新鲜材料干质量分数有主要影响(= 16.2%)的基因座,该基因座与一个可能参与(干茎)基因座表达的锌指同源结构域蛋白共定位。本研究中鉴定出的这些标记和标记单倍型有望促进高粱育种中的标记辅助选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/eaea45418d7c/fpls-11-551305-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/9d1333a975ec/fpls-11-551305-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/7d3c0de51710/fpls-11-551305-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/f1be9b5a4c42/fpls-11-551305-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/40451c18bd7f/fpls-11-551305-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/44c4de47b80b/fpls-11-551305-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/0450f53d0313/fpls-11-551305-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/d43cce9cfcc7/fpls-11-551305-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/8a72d59f4f0f/fpls-11-551305-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/eaea45418d7c/fpls-11-551305-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/9d1333a975ec/fpls-11-551305-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/7d3c0de51710/fpls-11-551305-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/f1be9b5a4c42/fpls-11-551305-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/40451c18bd7f/fpls-11-551305-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/44c4de47b80b/fpls-11-551305-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/0450f53d0313/fpls-11-551305-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/d43cce9cfcc7/fpls-11-551305-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/8a72d59f4f0f/fpls-11-551305-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51e8/7688983/eaea45418d7c/fpls-11-551305-g009.jpg

相似文献

1
Genome-Wide Association Study for Biomass Related Traits in a Panel of and × Populations.一组和×群体中与生物量相关性状的全基因组关联研究。
Front Plant Sci. 2020 Nov 12;11:551305. doi: 10.3389/fpls.2020.551305. eCollection 2020.
2
Genome-wide association mapping of total antioxidant capacity, phenols, tannins, and flavonoids in a panel of Sorghum bicolor and S. bicolor × S. halepense populations using multi-locus models.利用多基因座模型对高粱和高粱属间杂种群体的总抗氧化能力、酚类、单宁和类黄酮进行全基因组关联分析。
PLoS One. 2019 Dec 5;14(12):e0225979. doi: 10.1371/journal.pone.0225979. eCollection 2019.
3
Genome-Wide Association Study for Major Biofuel Traits in Sorghum Using Minicore Collection.利用核心种质资源对高粱主要生物燃料性状进行全基因组关联研究。
Protein Pept Lett. 2021;28(8):909-928. doi: 10.2174/0929866528666210215141243.
4
Genomic Selection for Optimum Index with Dry Biomass Yield, Dry Mass Fraction of Fresh Material, and Plant Height in Biomass Sorghum.生物量高粱最优指数选择的基因组研究:干生物量产量、新鲜材料干质量分数和株高。
Genes (Basel). 2020 Jan 5;11(1):61. doi: 10.3390/genes11010061.
5
Genomic Selection for Antioxidant Production in a Panel of and Lines.在一个 和 品系的panel 中进行抗氧化剂生产的基因组选择。
Genes (Basel). 2019 Oct 24;10(11):841. doi: 10.3390/genes10110841.
6
Transmission Genetics of a × Backcross Populations.一个杂交回交群体的传递遗传学
Front Plant Sci. 2020 Apr 30;11:467. doi: 10.3389/fpls.2020.00467. eCollection 2020.
7
Quantitative trait mapping of plant architecture in two BCF populations of Sorghum Bicolor × S. halepense and comparisons to two other sorghum populations.两个 Sorghum Bicolor × S. halepense BCF 群体的植物结构数量性状定位及与另外两个高粱群体的比较。
Theor Appl Genet. 2021 Apr;134(4):1185-1200. doi: 10.1007/s00122-020-03763-1. Epub 2021 Jan 9.
8
Identification of pleiotropic loci mediating structural and non-structural carbohydrate accumulation within the sorghum bioenergy association panel using high-throughput markers.利用高通量标记在高粱生物能源关联群体中鉴定介导结构性和非结构性碳水化合物积累的多效性位点。
Front Plant Sci. 2024 Feb 28;15:1356619. doi: 10.3389/fpls.2024.1356619. eCollection 2024.
9
Rate of crop-weed hybridization in  ×  is influenced by genetic background, pollen load, and the environment.× 中作物与杂草杂交的速率受遗传背景、花粉量和环境的影响。
Evol Appl. 2023 Mar 25;16(4):781-796. doi: 10.1111/eva.13536. eCollection 2023 Apr.
10
Discovering useful genetic variation in the seed parent gene pool for sorghum improvement.在种子亲本基因库中发现有助于高粱改良的有用遗传变异。
Front Genet. 2023 Sep 18;14:1221148. doi: 10.3389/fgene.2023.1221148. eCollection 2023.

引用本文的文献

1
MINE: maximally informative next experiment-toward a new GWAS experimental design and methodology.MINE:迈向新的全基因组关联研究实验设计与方法的最大信息性下一个实验
G3 (Bethesda). 2025 Sep 3;15(9). doi: 10.1093/g3journal/jkaf163.
2
Unveiling shared genetic regulators of plant architectural and biomass yield traits in the Sorghum Association Panel.揭示高粱关联群体中植物结构和生物量产量性状的共享遗传调控因子。
J Exp Bot. 2025 Apr 9;76(6):1625-1643. doi: 10.1093/jxb/eraf012.
3
Genomic resources, opportunities, and prospects for accelerated improvement of millets.

本文引用的文献

1
Transcriptome Analysis of Drought-Resistant and Drought-Sensitive Sorghum () Genotypes in Response to PEG-Induced Drought Stress.PEG 诱导干旱胁迫下抗旱和敏感高粱()基因型的转录组分析。
Int J Mol Sci. 2020 Jan 24;21(3):772. doi: 10.3390/ijms21030772.
2
Transcriptional trajectories of anther development provide candidates for engineering male fertility in sorghum.花药发育的转录轨迹为高粱雄性育性的工程改造提供了候选基因。
Sci Rep. 2020 Jan 21;10(1):897. doi: 10.1038/s41598-020-57717-0.
3
Genomic Selection for Optimum Index with Dry Biomass Yield, Dry Mass Fraction of Fresh Material, and Plant Height in Biomass Sorghum.
小米的基因组资源、机遇和加速改良的前景。
Theor Appl Genet. 2024 Nov 20;137(12):273. doi: 10.1007/s00122-024-04777-9.
4
Identification of stable restorers and high-yielding hybrids using diverse sorghum male sterile cytoplasmic sources and established pollen parents under different water regimes.利用不同高粱雄性不育细胞质源和已确立的花粉亲本,在不同水分条件下鉴定稳定恢复系和高产杂交种。
Heliyon. 2024 Oct 24;10(21):e39807. doi: 10.1016/j.heliyon.2024.e39807. eCollection 2024 Nov 15.
5
Genetic diversity, population structure, and a genome-wide association study of sorghum lines assembled for breeding in Uganda.乌干达用于育种的高粱品系的遗传多样性、群体结构及全基因组关联研究
Front Plant Sci. 2024 Oct 7;15:1458179. doi: 10.3389/fpls.2024.1458179. eCollection 2024.
6
Linking genetic markers and crop model parameters using neural networks to enhance genomic prediction of integrative traits.利用神经网络将遗传标记与作物模型参数相联系,以增强综合性状的基因组预测。
Front Plant Sci. 2024 Jul 30;15:1393965. doi: 10.3389/fpls.2024.1393965. eCollection 2024.
7
Genome-wide association study and expression of candidate genes for Fe and Zn concentration in sorghum grains.全基因组关联研究和候选基因在高粱籽粒中铁和锌浓度的表达。
Sci Rep. 2024 Jun 3;14(1):12729. doi: 10.1038/s41598-024-63308-0.
8
Identification of pleiotropic loci mediating structural and non-structural carbohydrate accumulation within the sorghum bioenergy association panel using high-throughput markers.利用高通量标记在高粱生物能源关联群体中鉴定介导结构性和非结构性碳水化合物积累的多效性位点。
Front Plant Sci. 2024 Feb 28;15:1356619. doi: 10.3389/fpls.2024.1356619. eCollection 2024.
9
Pilot-scale genome-wide association mapping in diverse sorghum germplasms identified novel genetic loci linked to major agronomic, root and stomatal traits.在不同的高粱种质资源中进行的中试规模全基因组关联图谱绘制,鉴定了与主要农艺性状、根系和气孔性状相关的新的遗传位点。
Sci Rep. 2023 Dec 8;13(1):21917. doi: 10.1038/s41598-023-48758-2.
10
Genetic variation for grain nutritional profile and yield potential in sorghum and the possibility of selection for drought tolerance under irrigated conditions.高粱籽粒营养成分和产量潜力的遗传变异及在灌溉条件下抗旱性选择的可能性。
BMC Genomics. 2023 Sep 2;24(1):515. doi: 10.1186/s12864-023-09613-w.
生物量高粱最优指数选择的基因组研究:干生物量产量、新鲜材料干质量分数和株高。
Genes (Basel). 2020 Jan 5;11(1):61. doi: 10.3390/genes11010061.
4
Uncovering Phenotypic Diversity and DArTseq Marker Loci Associated with Antioxidant Activity in Common Bean.揭示普通菜豆抗氧化活性的表型多样性和 DArTseq 标记位点。
Genes (Basel). 2019 Dec 28;11(1):36. doi: 10.3390/genes11010036.
5
Genome-wide association mapping of total antioxidant capacity, phenols, tannins, and flavonoids in a panel of Sorghum bicolor and S. bicolor × S. halepense populations using multi-locus models.利用多基因座模型对高粱和高粱属间杂种群体的总抗氧化能力、酚类、单宁和类黄酮进行全基因组关联分析。
PLoS One. 2019 Dec 5;14(12):e0225979. doi: 10.1371/journal.pone.0225979. eCollection 2019.
6
A sorghum NAC gene is associated with variation in biomass properties and yield potential.一个高粱NAC基因与生物量特性和产量潜力的变异有关。
Plant Direct. 2018 Jul 23;2(7):e00070. doi: 10.1002/pld3.70. eCollection 2018 Jul.
7
Maturity2, a novel regulator of flowering time in Sorghum bicolor, increases expression of SbPRR37 and SbCO in long days delaying flowering.Maturity2,高粱生物钟调控新基因,长日照条件下延迟开花,其表达能增强 SbPRR37 和 SbCO 的表达。
PLoS One. 2019 Apr 10;14(4):e0212154. doi: 10.1371/journal.pone.0212154. eCollection 2019.
8
Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Flowering Time Under Drought and Heat Stress Conditions in Maize.全基因组关联图谱绘制与基因组预测分析揭示了干旱和热胁迫条件下玉米产量和开花时间的遗传结构。
Front Plant Sci. 2019 Jan 30;9:1919. doi: 10.3389/fpls.2018.01919. eCollection 2018.
9
Sorghum Phytochemicals and Their Potential Impact on Human Health.高粱中的植物化学物质及其对人类健康的潜在影响。
Methods Mol Biol. 2019;1931:121-140. doi: 10.1007/978-1-4939-9039-9_9.
10
Population structure in genetic studies: Confounding factors and mixed models.遗传研究中的群体结构:混杂因素与混合模型。
PLoS Genet. 2018 Dec 27;14(12):e1007309. doi: 10.1371/journal.pgen.1007309. eCollection 2018 Dec.