scholarly journals High-Density Genetic Linkage Maps of Phytophthora infestans Reveal Trisomic Progeny and Chromosomal Rearrangements

Genetics ◽  
2004 ◽  
Vol 167 (4) ◽  
pp. 1643-1661 ◽  
Author(s):  
Theo van der Lee ◽  
Antonino Testa ◽  
Andrea Robold ◽  
John van ‘t Klooster ◽  
Francine Govers
Keyword(s):  
Phytophthora Infestans ◽  
Genetic Linkage ◽  
Chromosomal Rearrangements ◽  
High Density ◽  
Linkage Maps ◽  
Genetic Linkage Maps

scholarly journals Construction of high-density genetic linkage maps for orange-spotted grouper Epinephelus coioides using multiplexed shotgun genotyping

BMC Genetics ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 113 ◽  
Author(s):  
Xinxin You ◽  
Liping Shu ◽  
Shuisheng Li ◽  
Jieming Chen ◽  
Jian Luo ◽  
...  
Keyword(s):  
Genetic Linkage ◽  
High Density ◽  
Epinephelus Coioides ◽  
Linkage Maps ◽  
Genetic Linkage Maps

scholarly journals Recent Advances in Molecular Genetic Linkage Maps of Cultivated Peanut

2013 ◽  
Vol 40 (2) ◽  
pp. 95-106 ◽  
Author(s):  
Baozhu Guo ◽  
Manish K. Pandey ◽  
Guohao He ◽  
Xinyou Zhang ◽  
Boshou Liao ◽  
...  
Keyword(s):  
Genetic Linkage ◽  
High Density ◽  
Genetic Maps ◽  
Linkage Maps ◽  
Consensus Map ◽  
Genetic Linkage Maps ◽  
Marker Loci ◽  
Cultivated Peanut ◽  
Peanut Genome ◽  
Mapping Populations

ABSTRACT The competitiveness of peanuts in domestic and global markets has been threatened by losses in productivity and quality that are attributed to diseases, pests, environmental stresses and allergy or food safety issues. Narrow genetic diversity and a deficiency of polymorphic DNA markers severely hindered construction of dense genetic maps and quantitative trait loci (QTL) mapping in order to deploy linked markers in marker-assisted peanut improvement. The U.S. Peanut Genome Initiative (PGI) was launched in 2004, and expanded to a global effort in 2006 to address these issues through coordination of international efforts in genome research beginning with molecular marker development and improvement of map resolution and coverage. Ultimately, a peanut genome sequencing project was launched in 2012 by the Peanut Genome Consortium (PGC). We reviewed the progress for accelerated development of peanut genomic resources in peanut, such as generation of expressed sequenced tags (ESTs) (252,832 ESTs as December 2012 in the public NCBI EST database), development of molecular markers (over 15,518 SSRs), and construction of peanut genetic linkage maps, in particular for cultivated peanut. Several consensus genetic maps have been constructed, and there are examples of recent international efforts to develop high density maps. An international reference consensus genetic map was developed recently with 897 marker loci based on 11 published mapping populations. Furthermore, a high-density integrated consensus map of cultivated peanut and wild diploid relatives also has been developed, which was enriched further with 3693 marker loci on a single map by adding information from five new genetic mapping populations to the published reference consensus map.

scholarly journals Development of High-Density Genetic Linkage Maps and Identification of Loci for Chestnut Gall Wasp Resistance in Castanea spp.

Plants ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1048
Author(s):  
Daniela Torello Marinoni ◽  
Sogo Nishio ◽  
Nadia Valentini ◽  
Kenta Shirasawa ◽  
Alberto Acquadro ◽  
...  
Keyword(s):  
Genetic Linkage ◽  
Castanea Sativa ◽  
High Density ◽  
Genetic Maps ◽  
Phenotypic Variance ◽  
Linkage Maps ◽  
Gall Wasp ◽  
Resistance Response ◽  
Genetic Linkage Maps ◽  
Resistance Trait

Castanea sativa is an important multipurpose species in Europe for nut and timber production as well as for its role in the landscape and in the forest ecosystem. This species has low tolerance to chestnut gall wasp (Dryocosmus kuriphilus Yasumatsu), which is a pest that was accidentally introduced into Europe in early 2000 and devastated forest and orchard trees. Resistance to the gall wasp was found in the hybrid cultivar ‘Bouche de Bétizac’ (C. sativa × C. crenata) and studied by developing genetic linkage maps using a population derived from a cross between ‘Bouche de Bétizac’ and the susceptible cultivar ‘Madonna’ (C. sativa). The high-density genetic maps were constructed using double-digest restriction site-associated DNA-seq and simple sequence repeat markers. The map of ‘Bouche de Bétizac’ consisted of 1459 loci and spanned 809.6 cM; the map of ‘Madonna’ consisted of 1089 loci and spanned 753.3 cM. In both maps, 12 linkage groups were identified. A single major QTL was recognized on the ‘Bouche de Bétizac’ map, explaining up to 67–69% of the phenotypic variance of the resistance trait (Rdk1). The Rdk1 quantitative trait loci (QTL) region included 11 scaffolds and two candidate genes putatively involved in the resistance response were identified. This study will contribute to C. sativa breeding programs and to the study of Rdk1 genes.

Construction of high-density genetic linkage maps and QTL mapping in the golden pompano

Aquaculture ◽  
2018 ◽  
Vol 482 ◽  
pp. 90-95 ◽  
Author(s):  
Guoqing Zhang ◽  
Xinhui Zhang ◽  
Hengzhen Ye ◽  
Shoujia Jiang ◽  
Hui Yu ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Genetic Linkage ◽  
High Density ◽  
Linkage Maps ◽  
Golden Pompano ◽  
Genetic Linkage Maps

scholarly journals High-density genetic linkage maps with over 2,400 sequence-anchored DArT markers for genetic dissection in an F2 pseudo-backcross of Eucalyptus grandis × E. urophylla

2011 ◽  
Vol 8 (1) ◽  
pp. 163-175 ◽  
Author(s):  
Anand Raj Kumar Kullan ◽  
Maria M. van Dyk ◽  
Nicoletta Jones ◽  
Arnulf Kanzler ◽  
Arlene Bayley ◽  
...  
Keyword(s):  
Genetic Linkage ◽  
Eucalyptus Grandis ◽  
High Density ◽  
Dart Markers ◽  
Genetic Dissection ◽  
Linkage Maps ◽  
Genetic Linkage Maps

scholarly journals Genomic Resource Development for Hydrangea (Hydrangea macrophylla (Thunb.) Ser.)—A Transcriptome Assembly and a High-Density Genetic Linkage Map

Horticulturae ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 25
Author(s):  
Xingbo Wu ◽  
Amanda M. Hulse-Kemp ◽  
Phillip A. Wadl ◽  
Zach Smith ◽  
Keithanne Mockaitis ◽  
...  
Keyword(s):  
Genetic Resources ◽  
Linkage Map ◽  
Genetic Linkage ◽  
Genetic Linkage Map ◽  
Mapping Population ◽  
High Density ◽  
Linkage Maps ◽  
Map Construction ◽  
Hydrangea Macrophylla ◽  
Genetic Linkage Maps

Hydrangea (Hydrangea macrophylla) is an important ornamental crop that has been cultivated for more than 300 years. Despite the economic importance, genetic studies for hydrangea have been limited by the lack of genetic resources. Genetic linkage maps and subsequent trait mapping are essential tools to identify and make markers available for marker-assisted breeding. A transcriptomic study was performed on two important cultivars, Veitchii and Endless Summer, to discover simple sequence repeat (SSR) markers and an F1 population based on the cross ‘Veitchii’ × ‘Endless Summer’ was established for genetic linkage map construction. Genotyping by sequencing (GBS) was performed on the mapping population along with SSR genotyping. From an analysis of 42,682 putative transcripts, 8780 SSRs were identified and 1535 were validated in the mapping parents. A total of 267 polymorphic SSRs were selected for linkage map construction. The GBS yielded 3923 high quality single nucleotide polymorphisms (SNPs) in the mapping population, resulting in a total of 4190 markers that were used to generate maps for each parent and a consensus map. The consensus linkage map contained 1767 positioned markers (146 SSRs and 1621 SNPs), spanned 1383.4 centiMorgans (cM), and was comprised of 18 linkage groups, with an average mapping interval of 0.8 cM. The transcriptome information and large-scale marker development in this study greatly expanded the genetic resources that are available for hydrangea. The high-density genetic linkage maps presented here will serve as an important foundation for quantitative trait loci mapping, map-based gene cloning, and marker-assisted selection of H. macrophylla.

CONSTRUCTION OF TWO HIGH DENSITY GENETIC LINKAGE MAPS IN LITCHI

2012 ◽  
pp. 207-213 ◽  
Author(s):  
J. Zhou ◽  
J.-X. Fu ◽  
Z.-X. Wu ◽  
S.-S. Huang ◽  
Y.-H. Zhao ◽  
...  
Keyword(s):  
Genetic Linkage ◽  
High Density ◽  
Linkage Maps ◽  
Genetic Linkage Maps
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