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开发基因组工具以辅助芜菁油菜[(L.)亚种(DC.)Metzg.]育种。

Developing genomic tools to assist turnip rape [ (L.) subsp. (DC.) Metzg.] breeding.

作者信息

Alemu Admas, Sundaramoorthy Jagadeesh, Abreha Kibrom B, Enyew Muluken, Geleta Mulatu, Carlsson Anders S

机构信息

Department of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden.

School of Biological Sciences, Washington State University, Pullman, WA, United States.

出版信息

Front Genet. 2024 Aug 28;15:1435474. doi: 10.3389/fgene.2024.1435474. eCollection 2024.

Abstract

INTRODUCTION

Turnip rape is recognized as an oilseed crop contributing to environmentally sustainable agriculture via integration into crop rotation systems. Despite its various advantages, the crop's cultivation has declined globally due to a relatively low productivity, giving way to other crops. The use of genomic tools could enhance the breeding process and accelerate genetic gains. Therefore, the present research investigated 170 turnip rape accessions representing its global gene pool to identify SNP markers associated nine phenological and agro-morphological traits and estimate the genomic breeding values (GEBVs) of the germplasm through GWAS and genomic prediction analyses, respectively.

METHODS

Field trials were conducted at two sites in northern and southern Sweden to obtain the phenotypic data while genotyping was conducted via the genotyping-by-sequencing (GBS) method. The traits studied include days to flowering (DTF) and maturity (DTM), plant height (PH), seed yield (YLD), thousand seed weight (TSW), silique length (SL), number of siliques (NS), number of seeds per silique (SS), and pod shattering resistance (PSHR).

RESULTS AND CONCLUSION

Analysis of variance revealed substantial variation among accessions, with significant genotype-by-environment interaction for most traits. A total of 25, 17, 16, 14, 7, 5, 3, and 3 MTAs were identified for TSW, DTF, PH, PSHR, SL, YLD, SS and DTM, respectively. An 80%-20% training-test set genomic prediction analysis was conducted using the ridge regression - BLUP (RR-BLUP) model. The accuracy of genomic prediction for most traits was high, indicating that these tools may assist turnip rape breeders in accelerating genetic gains. The study highlights the potential of genomic tools to significantly advance breeding programs for turnip rape by identifying pivotal SNP markers and effectively estimating genomic breeding values. Future breeding perspectives should focus on leveraging these genomic insights to enhance agronomic traits and productivity, thereby reinstating turnip rape as a competitive and sustainable crop in Sweden and broader global agriculture.

摘要

引言

芜菁油菜被认为是一种油料作物,通过纳入轮作系统有助于环境可持续农业。尽管它有诸多优点,但由于生产力相对较低,全球范围内该作物的种植面积已有所下降,被其他作物所取代。基因组工具的使用可以加强育种过程并加速遗传增益。因此,本研究调查了代表其全球基因库的170份芜菁油菜种质,以鉴定与九个物候和农艺形态性状相关的单核苷酸多态性(SNP)标记,并分别通过全基因组关联研究(GWAS)和基因组预测分析来估计种质的基因组育种值(GEBV)。

方法

在瑞典北部和南部的两个地点进行了田间试验以获取表型数据,同时通过简化基因组测序(GBS)方法进行基因分型。研究的性状包括开花天数(DTF)、成熟天数(DTM)、株高(PH)、种子产量(YLD)、千粒重(TSW)、角果长度(SL)、角果数量(NS)、每角果种子数(SS)和抗裂荚性(PSHR)。

结果与结论

方差分析显示种质间存在显著变异,大多数性状存在显著的基因型与环境互作。分别为TSW、DTF、PH、PSHR、SL、YLD、SS和DTM鉴定出了25、17、16、14、7、5、3和3个显著关联标记(MTA)。使用岭回归-最佳线性无偏预测(RR-BLUP)模型进行了80%-20%训练-测试集的基因组预测分析。大多数性状的基因组预测准确性较高,表明这些工具可能有助于芜菁油菜育种者加速遗传增益。该研究强调了基因组工具通过识别关键SNP标记和有效估计基因组育种值来显著推进芜菁油菜育种计划的潜力。未来的育种展望应集中在利用这些基因组见解来改善农艺性状和生产力,从而使芜菁油菜在瑞典及更广泛的全球农业中重新成为具有竞争力的可持续作物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d762/11411567/7929a5f1ab74/fgene-15-1435474-g001.jpg

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