scholarly journals Maize genetics through the lens of many disciplines: the career of George Beadle

2021 ◽  
Author(s):  
Grant Hrabik ◽  
Noah Milam ◽  
Madison Lambley ◽  
Tessa Durham Brooks
Keyword(s):  
Maize Genetics

MaizeGDB: The Maize Genetics and Genomics Database

2016 ◽  
pp. 187-202 ◽  
Author(s):  
Lisa Harper ◽  
Jack Gardiner ◽  
Carson Andorf ◽  
Carolyn J. Lawrence
Keyword(s):  
Maize Genetics ◽  
Genetics And Genomics

scholarly journals Applications of genotyping-by-sequencing (GBS) in maize genetics and breeding

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nan Wang ◽  
Yibing Yuan ◽  
Hui Wang ◽  
Diansi Yu ◽  
Yubo Liu ◽  
...  
Keyword(s):  
First Generation ◽  
Low Cost ◽  
Genotyping By Sequencing ◽  
Restriction Enzymes ◽  
Genotyping Error ◽  
Genome Complexity ◽  
Maize Genetics ◽  
Missing Genotypes ◽  
Map Resolution ◽  
Multiplex Sequencing

Abstract Genotyping-by-Sequencing (GBS) is a low-cost, high-throughput genotyping method that relies on restriction enzymes to reduce genome complexity. GBS is being widely used for various genetic and breeding applications. In the present study, 2240 individuals from eight maize populations, including two association populations (AM), backcross first generation (BC1), BC1F2, F2, double haploid (DH), intermated B73 × Mo17 (IBM), and a recombinant inbred line (RIL) population, were genotyped using GBS. A total of 955,120 of raw data for SNPs was obtained for each individual, with an average genotyping error of 0.70%. The rate of missing genotypic data for these SNPs was related to the level of multiplex sequencing: ~ 25% missing data for 96-plex and ~ 55% for 384-plex. Imputation can greatly reduce the rate of missing genotypes to 12.65% and 3.72% for AM populations and bi-parental populations, respectively, although it increases total genotyping error. For analysis of genetic diversity and linkage mapping, unimputed data with a low rate of genotyping error is beneficial, whereas, for association mapping, imputed data would result in higher marker density and would improve map resolution. Because imputation does not influence the prediction accuracy, both unimputed and imputed data can be used for genomic prediction. In summary, GBS is a versatile and efficient SNP discovery approach for homozygous materials and can be effectively applied for various purposes in maize genetics and breeding.

An Evolutionist Visits the 43rd Annual Maize Genetics Conference

2001 ◽  
Vol 13 (6) ◽  
pp. 1255
Author(s):  
John Doebley
Keyword(s):  
Maize Genetics

scholarly journals An Evolutionist Visits the 43rd Annual Maize Genetics Conference

2001 ◽  
Vol 13 (6) ◽  
pp. 1255-1259
Author(s):  
John Doebley
Keyword(s):  
Maize Genetics

scholarly journals The 46th Annual Maize Genetics Conference. Unlocking the Secrets of the Maize Genome

2004 ◽  
Vol 136 (1) ◽  
pp. 2633-2640 ◽  
Author(s):  
Marja C.P. Timmermans ◽  
Thomas P. Brutnell ◽  
Philip W. Becraft
Keyword(s):  
Maize Genome ◽  
Maize Genetics

Maize genetics and genomics database

2003 ◽  
Vol 4 (12) ◽  
pp. 932-932
Author(s):  
Nick Campbell
Keyword(s):  
Maize Genetics ◽  
Genetics And Genomics

scholarly journals RNA-seq based analysis of population structure within the maize inbred B73

2016 ◽  
Author(s):  
Zhikai Liang ◽  
James C Schnable
Keyword(s):  
Large Scale ◽  
Reference Genome ◽  
Data Sets ◽  
Rna Seq ◽  
Research Groups ◽  
Independent Research ◽  
Sequencing Project ◽  
Maize Genetics ◽  
Outcrossing Species ◽  
The Relationship

B73 is a variety of maize (Zea mays ssp. mays) widely used in genetic, genomic, and phenotypic research around the world. B73 was also served as the reference genotype for the original maize genome sequencing project. The advent of large-scale RNA-sequencing as a method of measuring gene expression presents a unique opportunity to assess the level of relatedness among individuals identified as variety B73. The level of haplotype conservation and divergence across the genome were assessed using 27 RNA-seq data sets from 20 independent research groups in three countries. Several clearly distinct clades were identified among putatively B73 samples. A number of these blocks were defined by the presence of clearly defined genomic blocks containing a haplotype which did not match the published B73 reference genome. In a number of cases the relationship among B73 samples generated by different research groups recapitulated mentor/mentee relationships within the maize genetics community. A number of regions with distinct, dissimilar, haplotypes were identified in our study. However, when considering the age of the B73 accession -- greater than 40 years -- and the challenges of maintaining isogenic lines of a naturally outcrossing species, a strikingly high overall level of conservation was exhibited among B73 samples from around the globe.

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