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Elite,transformable haploid inducers in maize
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作者 Brent Delzer Dawei Liang +22 位作者 David Szwerdszarf Isadora Rodriguez Gonzalo Mardones Sivamani Elumalai Francine Johnson Samson Nalapalli Rachel Egger Erin Burch Kerry Meier Juan Wei Xiujuan Zhang Huaping Gui Huaibing Jin Huan Guo Kun Yu Yubo Liu Becky Breitinger ana poets Jason Nichols Wan Shi David Skibbe Qiudeng Que Timothy Kelliher 《The Crop Journal》 SCIE CSCD 2024年第1期314-319,共6页
The introduction of alleles into commercial crop breeding pipelines is both time consuming and costly.Two technologies that are disrupting traditional breeding processes are doubled haploid(DH)breeding and genome edit... The introduction of alleles into commercial crop breeding pipelines is both time consuming and costly.Two technologies that are disrupting traditional breeding processes are doubled haploid(DH)breeding and genome editing(GE).Recently,these techniques were combined into a GE trait delivery system called HI-Edit(Haploid Inducer-Edit).In HI-Edit,the pollen of a haploid inducer line is reprogrammed to deliver GE traits to any variety,obviating recurrent selection.For HI-Edit to operate at scale,an efficient transformable HI line is needed,but most maize varieties are recalcitrant to transformation,and haploid inducers are especially difficult to transform given their aberrant reproductive behaviors.Leveraging marker assisted selection and a three-tiered testing scheme,we report the development of new Iodent and Stiff Stalk maize germplasm that are transformable,have high haploid induction rates,and exhibit a robust,genetically-dominant anthocyanin native trait that may be used for rapid haploid identification.We show that transformation of these elite‘‘HI-Edit”lines is enhanced using the BABYBOOM and WUSCHEL morphogenetic factors.Finally,we evaluate the HI-Edit performance of one of the lines against both Stiff Stalk and non-Stiff Stalk testers.The strategy and results of this study should facilitate the development of commercially scalable HI-Edit systems in diverse crops. 展开更多
关键词 Zea mays L Doubled haploids TRANSFORMATION Genome editing QTL
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The use of shared haplotype length information for pedigree reconstruction in asexually propagated outbreeding crops, demonstrated for apple and sweet cherry
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作者 Nicholas P.Howard Cameron Peace +7 位作者 Kevin A.T.Silverstein ana poets James J.Luby Stijn Vanderzande Charles-Eric Durel Helene Muranty Caroline Denance Eric van de Weg 《Horticulture Research》 SCIE 2021年第1期2785-2797,共13页
Pedigree information is of fundamental importance in breeding programs and related genetics efforts.However,many individuals have unknown pedigrees.While methods to identify and confirm direct parent–offspring relati... Pedigree information is of fundamental importance in breeding programs and related genetics efforts.However,many individuals have unknown pedigrees.While methods to identify and confirm direct parent–offspring relationships are routine,those for other types of close relationships have yet to be effectively and widely implemented with plants,due to complications such as asexual propagation and extensive inbreeding.The objective of this study was to develop and demonstrate methods that support complex pedigree reconstruction via the total length of identical by state haplotypes(referred to in this study as“summed potential lengths of shared haplotypes”,SPLoSH).A custom Python script,HapShared,was developed to generate SPLoSH data in apple and sweet cherry.HapShared was used to establish empirical distributions of SPLoSH data for known relationships in these crops.These distributions were then used to estimate previously unknown relationships.Case studies in each crop demonstrated various pedigree reconstruction scenarios using SPLoSH data.For cherry,a full-sib relationship was deduced for‘Emperor Francis,and‘Schmidt’,a half-sib relationship for‘Van’and‘Windsor’,and the paternal grandparents of‘Stella’were confirmed.For apple,29 cultivars were found to share an unknown parent,the pedigree of the unknown parent of‘Cox’s Pomona’was reconstructed,and‘Fameuse’was deduced to be a likely grandparent of‘McIntosh’.Key genetic resources that enabled this empirical study were large genome-wide SNP array datasets,integrated genetic maps,and previously identified pedigree relationships.Crops with similar resources are also expected to benefit from using HapShared for empowering pedigree reconstruction. 展开更多
关键词 Python BREEDING CROPS
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