Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Robert Reiter is active.

Publication


Featured researches published by Robert Reiter.


Genetics | 2007

A Soybean Transcript Map: Gene Distribution, Haplotype and Single-Nucleotide Polymorphism Analysis

Ik Young Choi; David L. Hyten; Lakshmi K. Matukumalli; Qijian Song; Julian M. Chaky; Charles V. Quigley; Kevin Chase; K. Gordon Lark; Robert Reiter; Mun Sup Yoon; Eun Young Hwang; Seung In Yi; Nevin D. Young; Randy C. Shoemaker; Curtis P. Van Tassell; James E. Specht; Perry B. Cregan

The first genetic transcript map of the soybean genome was created by mapping one SNP in each of 1141 genes in one or more of three recombinant inbred line mapping populations, thus providing a picture of the distribution of genic sequences across the mapped portion of the genome. Single-nucleotide polymorphisms (SNPs) were discovered via the resequencing of sequence-tagged sites (STSs) developed from expressed sequence tag (EST) sequence. From an initial set of 9459 polymerase chain reaction primer sets designed to a diverse set of genes, 4240 STSs were amplified and sequenced in each of six diverse soybean genotypes. In the resulting 2.44 Mbp of aligned sequence, a total of 5551 SNPs were discovered, including 4712 single-base changes and 839 indels for an average nucleotide diversity of θ = 0.000997. The analysis of the observed genetic distances between adjacent genes vs. the theoretical distribution based upon the assumption of a random distribution of genes across the 20 soybean linkage groups clearly indicated that genes were clustered. Of the 1141 genes, 291 mapped to 72 of the 112 gaps of 5–10 cM in the preexisting simple sequence repeat (SSR)-based map, while 111 genes mapped in 19 of the 26 gaps >10 cM. The addition of 1141 sequence-based genic markers to the soybean genome map will provide an important resource to soybean geneticists for quantitative trait locus discovery and map-based cloning, as well as to soybean breeders who increasingly depend upon marker-assisted selection in cultivar improvement.


Genetics | 2007

A Soybean Transcript Map: Gene Distribution, Haplotype and SNP Analysis

Ik-Young Choi; David L. Hyten; Lakshmi K. Matukumalli; Qijian Song; Julian M. Chaky; Charles V. Quigley; Kevin Chase; Karl G. Lark; Robert Reiter; Mun-Sup Yoon; Eun-Young Hwang; Seung-In Yi; Nevin D. Young; Randy C. Shoemaker; Curtis P. Van Tassell; James E. Specht; Perry B. Cregan

The first genetic transcript map of the soybean genome was created by mapping one SNP in each of 1141 genes in one or more of three recombinant inbred line mapping populations, thus providing a picture of the distribution of genic sequences across the mapped portion of the genome. Single-nucleotide polymorphisms (SNPs) were discovered via the resequencing of sequence-tagged sites (STSs) developed from expressed sequence tag (EST) sequence. From an initial set of 9459 polymerase chain reaction primer sets designed to a diverse set of genes, 4240 STSs were amplified and sequenced in each of six diverse soybean genotypes. In the resulting 2.44 Mbp of aligned sequence, a total of 5551 SNPs were discovered, including 4712 single-base changes and 839 indels for an average nucleotide diversity of θ = 0.000997. The analysis of the observed genetic distances between adjacent genes vs. the theoretical distribution based upon the assumption of a random distribution of genes across the 20 soybean linkage groups clearly indicated that genes were clustered. Of the 1141 genes, 291 mapped to 72 of the 112 gaps of 5–10 cM in the preexisting simple sequence repeat (SSR)-based map, while 111 genes mapped in 19 of the 26 gaps >10 cM. The addition of 1141 sequence-based genic markers to the soybean genome map will provide an important resource to soybean geneticists for quantitative trait locus discovery and map-based cloning, as well as to soybean breeders who increasingly depend upon marker-assisted selection in cultivar improvement.


Genetics | 2007

A soybean transcript map

Ik Young Choi; David L. Hyten; Lakshmi K. Matukumalli; Qijian Song; Julian M. Chaky; Charles V. Quigley; Kevin Chase; K. Gordon Lark; Robert Reiter; Mun Sup Yoon; Eun Young Hwang; Seung In Yi; Nevin D. Young; Randy C. Shoemaker; Curtis P. Van Tassell; James E. Specht; Perry B. Cregan

The first genetic transcript map of the soybean genome was created by mapping one SNP in each of 1141 genes in one or more of three recombinant inbred line mapping populations, thus providing a picture of the distribution of genic sequences across the mapped portion of the genome. Single-nucleotide polymorphisms (SNPs) were discovered via the resequencing of sequence-tagged sites (STSs) developed from expressed sequence tag (EST) sequence. From an initial set of 9459 polymerase chain reaction primer sets designed to a diverse set of genes, 4240 STSs were amplified and sequenced in each of six diverse soybean genotypes. In the resulting 2.44 Mbp of aligned sequence, a total of 5551 SNPs were discovered, including 4712 single-base changes and 839 indels for an average nucleotide diversity of θ = 0.000997. The analysis of the observed genetic distances between adjacent genes vs. the theoretical distribution based upon the assumption of a random distribution of genes across the 20 soybean linkage groups clearly indicated that genes were clustered. Of the 1141 genes, 291 mapped to 72 of the 112 gaps of 5–10 cM in the preexisting simple sequence repeat (SSR)-based map, while 111 genes mapped in 19 of the 26 gaps >10 cM. The addition of 1141 sequence-based genic markers to the soybean genome map will provide an important resource to soybean geneticists for quantitative trait locus discovery and map-based cloning, as well as to soybean breeders who increasingly depend upon marker-assisted selection in cultivar improvement.


Crop Science | 2007

Molecular Markers in a Commercial Breeding Program

Sam Eathington; Theodore M. Crosbie; Marlin Edwards; Robert Reiter; Jason Bull


Plant Breeding: The Arnel R. Hallauer International Symposium | 2008

Plant Breeding: Past, Present, and Future

Theodore M. Crosbie; Sam Eathington; G. Richard Johnson; Marlin Edwards; Robert Reiter; Sandra C. Stark; Radha G. Mohanty; Manuel Oyervides; Robert E. Buehler; Alan K. Walker; Raymond C. Dobert; Xavier Delannay; Jay C. Pershing; Michael A. Hall; Kendall R. Lamkey


Archive | 2007

Compositions and Methods of Plant Breeding Using High Density Marker Information

Jason Bull; David Butruille; Sam Eathington; Marlin Edwards; Anju Gupta; G. Richard Johnson; Robert Reiter


Archive | 2005

High yielding soybean plants with low linolenic acid

Kunsheng Wu; Paul Mclaird; Joseph R. Byrum; Robert Reiter; Mark Erickson


Archive | 2006

Agronomically elite soybeans with high beta-conglycinin content

Kunsheng Wu; Thomas Horejsi; Joseph R. Byrum; Neal A. Bringe; Julie Yang; Donghong Pei; Robert Reiter


Archive | 2008

Procedimiento para mejora de plantas basado en delinear ventanas de haplotipo dentro del genoma de una planta, asociar dichos haplotipos con uno o mas valores numericos relacionados con uno o mas rasgos fenotipicos, y tomar una decision de mejoramiento de plantas basado en dichos valores numericos.

David Butruille; Jason Bull; Martin Edwards; Robert Reiter; Anju Gupta; Sam Eathington; G. Richard Johnson


Archive | 2006

PLANTAS DE SOJA DE ALTO RENDIMIENTO CON BAJO CONTENIDO DE ACIDO LINOLEICO

Kunsheng Wu; Paul Mlaird; Joseph R. Byrum; Robert Reiter; Mark Erickson

Collaboration


Dive into the Robert Reiter's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Charles V. Quigley

United States Department of Agriculture

View shared research outputs
Top Co-Authors

Avatar

Curtis P. Van Tassell

Agricultural Research Service

View shared research outputs
Top Co-Authors

Avatar

James E. Specht

University of Nebraska–Lincoln

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Julian M. Chaky

University of Nebraska–Lincoln

View shared research outputs
Researchain Logo
Decentralizing Knowledge