Literature DB >> 23306355

Dynamic genetic features of chromosomes revealed by comparison of soybean genetic and sequence-based physical maps.

Woo Kyu Lee1, Namshin Kim, Jiwoong Kim, Jung-Kyung Moon, Namhee Jeong, Ik-Young Choi, Sang Cheol Kim, Won-Hyong Chung, Hong Sig Kim, Suk-Ha Lee, Soon-Chun Jeong.   

Abstract

Despite the intensive soybean [Glycine max (L.) Merrill] genome studies, the high chromosome number (20) of the soybean plant relative to many other major crops has hindered the development of a high-resolution genomewide genetic map derived from a single population. Here, we report such a map, which was constructed in an F15 population derived from a cross between G. max and G. soja lines using indel polymorphisms detected via a G. soja genome resequencing. By targeting novel indel markers to marker-poor regions, all marker intervals were reduced to under 6 cM on a genome scale. Comparison of the Williams 82 soybean reference genome sequence and our genetic map indicated that marker orders of 26 regions were discrepant with each other. In addition, our comparison showed seven misplaced and two absent markers in the current Williams 82 assembly and six markers placed on the scaffolds that were not incorporated into the pseudomolecules. Then, we showed that, by determining the missing sequences located at the presumed beginning points of the five major discordant segments, these observed discordant regions are mostly errors in the Williams 82 assembly. Distributions of the recombination rates along the chromosomes were similar to those of other organisms. Genotyping of indel markers and genome resequencing of the two parental lines suggested that some marker-poor chromosomal regions may represent introgression regions, which appear to be prevalent in soybean. Given the even and dense distribution of markers, our genetic map can serve as a bridge between genomics research and breeding programs.

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Year:  2013        PMID: 23306355     DOI: 10.1007/s00122-012-2039-8

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  54 in total

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Authors:  Ik-Young Choi; David L Hyten; Lakshmi K Matukumalli; Qijian Song; Julian M Chaky; Charles V Quigley; Kevin Chase; K Gordon Lark; Robert S 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
Journal:  Genetics       Date:  2007-03-04       Impact factor: 4.562

Review 3.  Crop genomics: advances and applications.

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Journal:  Nat Rev Genet       Date:  2011-12-29       Impact factor: 53.242

4.  The gene distribution of the maize genome.

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Authors:  E Sanchez-Moran; S J Armstrong; J L Santos; F C H Franklin; G H Jones
Journal:  Genetics       Date:  2002-11       Impact factor: 4.562

6.  Do genetic recombination and gene density shape the pattern of DNA elimination in rice long terminal repeat retrotransposons?

Authors:  Zhixi Tian; Carene Rizzon; Jianchang Du; Liucun Zhu; Jeffrey L Bennetzen; Scott A Jackson; Brandon S Gaut; Jianxin Ma
Journal:  Genome Res       Date:  2009-09-29       Impact factor: 9.043

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Authors:  Xin-Sheng Hu; Carol Goodwillie; Kermit M Ritland
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8.  Comparative recombination distances among Zea mays L. inbreds, wide crosses and interspecific hybrids.

Authors:  C G Williams; M M Goodman; C W Stuber
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9.  Physical maps and recombination frequency of six rice chromosomes.

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Journal:  Plant J       Date:  2003-12       Impact factor: 6.417

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Authors:  Daniel C Ilut; Alexander E Lipka; Namhee Jeong; Dong Nyuk Bae; Dong Hyun Kim; Ji Hong Kim; Neelam Redekar; Kiwoung Yang; Won Park; Sung-Taeg Kang; Namshin Kim; Jung-Kyung Moon; M A Saghai Maroof; Michael A Gore; Soon-Chun Jeong
Journal:  Theor Appl Genet       Date:  2015-12-09       Impact factor: 5.699

2.  Chromosome-scale scaffolding of the black raspberry (Rubus occidentalis L.) genome based on chromatin interaction data.

Authors:  Rubina Jibran; Helge Dzierzon; Nahla Bassil; Jill M Bushakra; Patrick P Edger; Shawn Sullivan; Chad E Finn; Michael Dossett; Kelly J Vining; Robert VanBuren; Todd C Mockler; Ivan Liachko; Kevin M Davies; Toshi M Foster; David Chagné
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Review 3.  Impacts of genomic research on soybean improvement in East Asia.

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Journal:  Theor Appl Genet       Date:  2019-10-23       Impact factor: 5.699

4.  Population structure and domestication revealed by high-depth resequencing of Korean cultivated and wild soybean genomes.

Authors:  Won-Hyong Chung; Namhee Jeong; Jiwoong Kim; Woo Kyu Lee; Yun-Gyeong Lee; Sang-Heon Lee; Woongchang Yoon; Jin-Hyun Kim; Ik-Young Choi; Hong-Kyu Choi; Jung-Kyung Moon; Namshin Kim; Soon-Chun Jeong
Journal:  DNA Res       Date:  2013-11-21       Impact factor: 4.458

5.  Construction of high resolution genetic linkage maps to improve the soybean genome sequence assembly Glyma1.01.

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  6 in total

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