Literature DB >> 16953420

An updated 'Essex' by 'Forrest' linkage map and first composite interval map of QTL underlying six soybean traits.

M A Kassem1, J Shultz, K Meksem, Y Cho, A J Wood, M J Iqbal, D A Lightfoot.   

Abstract

DNA marker maps based on single populations are the basis for gene, loci and genomic analyses. Individual maps can be integrated to produce composite maps with higher marker densities if shared marker orders are consistent. However, estimates of marker order in composite maps must include sets of markers that were not polymorphic in multiple populations. Often some of the pooled markers were not codominant, or were not correctly scored. The soybean composite map was composed of data from five separate populations based on northern US germplasm but does not yet include 'Essex' by 'Forrest' recombinant inbred line (RIL) population (E x F) or any southern US soybean cultivars. The objectives were, to update the E x F map with codominant markers, to compare marker orders among this map, the Forrest physical map and the composite soybean map and to compare QTL identified by composite interval maps to the earlier interval maps. Two hundred and thirty seven markers were used to construct the core of the E x F map. The majority of marker orders were consistent between the maps. However, 19 putative marker inversions were detected on 12 of 20 linkage groups (LG). Eleven marker distance compressions were also found. The number of inverted markers ranged from 1 to 2 per LG. Thus, marker order inversions may be common in southern compared to northern US germplasm. A total of 61 QTL among 37 measures of six traits were detected by composite interval maps, interval maps and single point analysis. Seventeen of the QTL found in composite intervals had previously been detected among the 29 QTL found in simple interval maps. The genomic locations of the known QTL were more closely delimited. A genome sequencing project to compare Southern and Northern US soybean cultivars would catalog and delimit inverted regions and the associated QTL. Gene introgression in cultivar development programs would be accelerated.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16953420     DOI: 10.1007/s00122-006-0361-8

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


  41 in total

1.  A BAC- and BIBAC-based physical map of the soybean genome.

Authors:  Chengcang Wu; Shuku Sun; Padmavathi Nimmakayala; Felipe A Santos; Khalid Meksem; Rachael Springman; Kejiao Ding; David A Lightfoot; Hong-Bin Zhang
Journal:  Genome Res       Date:  2004-01-12       Impact factor: 9.043

2.  The generic genome browser: a building block for a model organism system database.

Authors:  Lincoln D Stein; Christopher Mungall; ShengQiang Shu; Michael Caudy; Marco Mangone; Allen Day; Elizabeth Nickerson; Jason E Stajich; Todd W Harris; Adrian Arva; Suzanna Lewis
Journal:  Genome Res       Date:  2002-10       Impact factor: 9.043

3.  Detecting low-quality markers using map expanders.

Authors:  Claus Thorn Ekstrøm
Journal:  Genet Epidemiol       Date:  2003-11       Impact factor: 2.135

4.  Construction and characterization of a soybean bacterial artificial chromosome library and use of multiple complementary libraries for genome physical mapping.

Authors:  C-C Wu; P Nimmakayala; F A Santos; R Springman; C Scheuring; K Meksem; D A Lightfoot; H-B Zhang
Journal:  Theor Appl Genet       Date:  2004-05-26       Impact factor: 5.699

5.  Long-distance signaling in nodulation directed by a CLAVATA1-like receptor kinase.

Authors:  Iain R Searle; Artem E Men; Titeki S Laniya; Diana M Buzas; Inaki Iturbe-Ormaetxe; Bernard J Carroll; Peter M Gresshoff
Journal:  Science       Date:  2002-10-31       Impact factor: 47.728

6.  Genomic analysis of a region encompassing QRfs1 and QRfs2: genes that underlie soybean resistance to sudden death syndrome.

Authors:  K Triwitayakorn; V N Njiti; M J Iqbal; S Yaegashi; C Town; D A Lightfoot
Journal:  Genome       Date:  2005-02       Impact factor: 2.166

7.  Genetic and physical localization of the soybean Rpg1-b disease resistance gene reveals a complex locus containing several tightly linked families of NBS-LRR genes.

Authors:  Tom Ashfield; Anna Bocian; Dan Held; Adam D Henk; Laura Fredrick Marek; Dariush Danesh; Silvia Peñuela; Khalid Meksem; David A Lightfoot; Nevin D Young; Randy C Shoemaker; Roger W Innes
Journal:  Mol Plant Microbe Interact       Date:  2003-09       Impact factor: 4.171

8.  The genomic relationship between Glycine max (L.) Merr. and G. soja Sieb. and Zucc. as revealed by pachytene chromosome analysis.

Authors:  R J Singh; T Hymowitz
Journal:  Theor Appl Genet       Date:  1988-11       Impact factor: 5.699

9.  A genetic map of soybean (Glycine max L.) using an intraspecific cross of two cultivars: 'Minosy' and 'Noir 1'.

Authors:  K G Lark; J M Weisemann; B F Matthews; R Palmer; K Chase; T Macalma
Journal:  Theor Appl Genet       Date:  1993-09       Impact factor: 5.699

10.  QTL mapping of ten agronomic traits on the soybean ( Glycine max L. Merr.) genetic map and their association with EST markers.

Authors:  W-K Zhang; Y-J Wang; G-Z Luo; J-S Zhang; C-Y He; X-L Wu; J-Y Gai; S-Y Chen
Journal:  Theor Appl Genet       Date:  2004-01-22       Impact factor: 5.699

View more
  40 in total

1.  Identification of QTL in soybean underlying resistance to herbivory by Japanese beetles (Popillia japonica, Newman).

Authors:  C R Yesudas; H Sharma; D A Lightfoot
Journal:  Theor Appl Genet       Date:  2010-05-11       Impact factor: 5.699

2.  Identification of QTLs for seed and pod traits in soybean and analysis for additive effects and epistatic effects of QTLs among multiple environments.

Authors:  Zhe Yang; Dawei Xin; Chunyan Liu; Hongwei Jiang; Xue Han; Yanan Sun; Zhaoming Qi; Guohua Hu; Qingshan Chen
Journal:  Mol Genet Genomics       Date:  2013-12       Impact factor: 3.291

3.  The development of BAC-end sequence-based microsatellite markers and placement in the physical and genetic maps of soybean.

Authors:  Jeffry L Shultz; Samreen Kazi; Rabia Bashir; Jawaad A Afzal; David A Lightfoot
Journal:  Theor Appl Genet       Date:  2007-02-08       Impact factor: 5.699

4.  Identification of a new soybean rust resistance gene in PI 567102B.

Authors:  Shuxian Li; James R Smith; Jeffery D Ray; Reid D Frederick
Journal:  Theor Appl Genet       Date:  2012-02-29       Impact factor: 5.699

5.  Recombination suppression at the dominant Rhg1/Rfs2 locus underlying soybean resistance to the cyst nematode.

Authors:  Ahmed J Afzal; Ali Srour; Navinder Saini; Naghmeh Hemmati; Hany A El Shemy; David A Lightfoot
Journal:  Theor Appl Genet       Date:  2011-12-27       Impact factor: 5.699

6.  Quantitative trait loci analysis of individual and total isoflavone contents in soybean seeds.

Authors:  Hai Jun Zhang; Jing Wen Li; Ya Jing Liu; Wen Zhu Jiang; Xing Lin Du; Lin Li; Xiao Wei Li; Lian Tai Su; Qing Yu Wang; Ying Wang
Journal:  J Genet       Date:  2014-08       Impact factor: 1.166

7.  Establishment of a soybean (Glycine max Merr. L) transposon-based mutagenesis repository.

Authors:  Melanie Mathieu; Elizabeth K Winters; Fanming Kong; Jinrong Wan; Shaoxing Wang; Helene Eckert; Diane Luth; Margie Paz; Christopher Donovan; Zhanyuan Zhang; David Somers; Kan Wang; Henry Nguyen; Randy C Shoemaker; Gary Stacey; Tom Clemente
Journal:  Planta       Date:  2008-10-15       Impact factor: 4.116

8.  Genetic control of soybean seed isoflavone content: importance of statistical model and epistasis in complex traits.

Authors:  Juan Jose Gutierrez-Gonzalez; Xiaolei Wu; Juan Zhang; Jeong-Dong Lee; Mark Ellersieck; J Grover Shannon; Oliver Yu; Henry T Nguyen; David A Sleper
Journal:  Theor Appl Genet       Date:  2009-07-23       Impact factor: 5.699

9.  Detecting the QTL-allele system of seed isoflavone content in Chinese soybean landrace population for optimal cross design and gene system exploration.

Authors:  Shan Meng; Jianbo He; Tuanjie Zhao; Guangnan Xing; Yan Li; Shouping Yang; Jiangjie Lu; Yufeng Wang; Junyi Gai
Journal:  Theor Appl Genet       Date:  2016-05-17       Impact factor: 5.699

10.  An integrated high-density linkage map of soybean with RFLP, SSR, STS, and AFLP markers using A single F2 population.

Authors:  Zhengjun Xia; Yasutaka Tsubokura; Masako Hoshi; Masayoshi Hanawa; Chizuru Yano; Kayo Okamura; Talaat A Ahmed; Toyoaki Anai; Satoshi Watanabe; Masaki Hayashi; Takashi Kawai; Khwaja G Hossain; Hirokazu Masaki; Kazumi Asai; Naoki Yamanaka; Nakao Kubo; Koh-ichi Kadowaki; Yoshiaki Nagamura; Masahiro Yano; Takuji Sasaki; Kyuya Harada
Journal:  DNA Res       Date:  2008-01-11       Impact factor: 4.458

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.