scholarly journals Genetic Map of Cotton with Molecular Markers

2015 ◽  
Vol 06 (02) ◽  
pp. 289-297 ◽  
Author(s):  
Camila Campêlo de Sousa ◽  
Lívio Carvalho de Figueirêdo ◽  
Maria das Graças Medina Arrais ◽  
Sérgio Emílio dos Santos Valente
Euphytica ◽  
2013 ◽  
Vol 194 (2) ◽  
pp. 151-160 ◽  
Author(s):  
Virginia Menzo ◽  
Angelica Giancaspro ◽  
Stefania Giove ◽  
Domenica Nigro ◽  
Silvana Zacheo ◽  
...  

2016 ◽  
Vol 83 (2) ◽  
Author(s):  
. PRIYONO ◽  
Riza Arief PUTRANTO

AbstrakAnalisis genetik telah  menjadi alat yang penting  dalam  pemuliaan  tanaman untuk perbaikan sifat penting tanaman. Salah satu potensi terbesar dari analisis tersebut adalah identifikasi penanda molekuler yang berguna untuk pemetaan genetik. Pemetaan genetik  merupakan  salah satu langkah penting dari analisis  genetik.  Intisari  dari   semua pemetaan genetik adalah  menempatkan  koleksi  pe- nanda molekuler pada posisi tertentu dalam genom. Hal tersebut dapat kemudian digunakan untuk meng- identifikasi lokus sifat kuantitatif (QTLs) dengan memanfaatan keragaman genetik alami yang tersedia dan meningkatkan sifat-sifat penting serta berharga. Sampai saat ini, tiga belas peta genetik telah dipublikasi dan tersedia pada Coffea sp. yang menciptakan database besar untuk kerangka genetik. Sebuah peta genetik terbaru dengan akses terbuka dan berfungsi sebagai referensi telah dibangun oleh International Coffee Genomics Network (ICGN). Peta tersebut tediri dari 3230 lokus, dengan panjang peta 1471 cM (1cm ~ 500 Kb) serta kepadatan satu penanda setiap 220 Kb. Peta-peta genetik pada tanaman kopi telah digunakan dari karakterisasi gen hingga analisis komparatif genom dengan spesies tanaman yang berbeda. Saat ini, pesatnya kemajuan teknologi New Genome Sequencing (NGS) untuk sekuensing DNA dan RNA memungkinkan validasi dari peta-peta genetik untuk prediksi QTLs serta gen-gen yang membawa sifat penting Coffea sp.AbstractGenetic analysis has become an important tool in plant breeding for crop improvement. One of their greatest potential appears to be the identification of molecular markers useful for genetic mapping. Genetic mapping is one of important steps in genetic analysis. The essence of all genetic mapping is to place a collection of molecular markers onto their respective positions on the genome. Thus, it leads to identification of new quantitative trait loci (QTLs) by making benefits of natural available genetic diversity.and to improve important and valuable traits. Until present, thirteen genetic maps were published and available in Coffea sp. creating a huge database for genetic framework. One most recent and open reference genetic map for robusta coffee has been generated by the International Coffee Genomics Network (ICGN) comprising 3230 loci, genetic size 1471 cM (1cM ~500 Kb), with an average density close to one marker every 220 Kb. The Coffea genetic maps have been utilized from gene characterization to genomic comparative analysis with different plant species. Nowadays, the feasibility of NGS for DNA and RNA sequencing allow the validation of genetic map related to the prediction of QTLs and adjacent genes related to important traits for Coffea sp. 


2007 ◽  
Vol 20 (2) ◽  
pp. 153-166 ◽  
Author(s):  
Juliana Stein ◽  
Silvina C. Pessino ◽  
Eric J. Martínez ◽  
María Pía Rodriguez ◽  
Lorena A. Siena ◽  
...  

Genome ◽  
2001 ◽  
Vol 44 (5) ◽  
pp. 836-845 ◽  
Author(s):  
M Oliver ◽  
J Garcia-Mas ◽  
M Cardús ◽  
N Pueyo ◽  
A I López-Sesé ◽  
...  

A map of melon (Cucumis melo L.) with 411 markers (234 RFLPs, 94 AFLPs, 47 RAPDs, 29 SSRs, five inter-SSRs, and two isozymes) and one morphological trait (carpel number) was constructed using the F2 progeny of a cross between the Korean accession PI161375 and the Spanish melon type 'Pinyonet Piel de Sapo'. RFLPs were obtained using 212 probes from different genomic and cDNA melon libraries, including 16 Arabidopsis ESTs, 13 Cucumis known genes, and three resistant gene homologues. Most loci (391) mapped to 12 major linkage groups, spanning a total genetic distance of 1197 cM, with an average map interval of 3 cM/marker. The remaining 21 loci (six RAPDs and 15 AFLPs) were not linked. A majority (66%) of the markers were codominant (RFLPs, SSRs, and isozymes), making them easily transferable to other melon crosses. Such markers can be used as a reference, to merge other melon and cucumber maps already constructed. Indeed, some of them (23 SSRs, 14 RFLPs, one isozyme, and one morphological trait) could act as anchor points with other published cucurbit maps.Key words: Cucumis melo, genetic map, molecular markers, RFLPs, SSRs.


1995 ◽  
Vol 91 (2) ◽  
pp. 289-300 ◽  
Author(s):  
J. M. E. Jacobs ◽  
H. J. Van Eck ◽  
P. Arens ◽  
B. Verkerk-Bakker ◽  
B. te Lintel Hekkert ◽  
...  

Genetics ◽  
1998 ◽  
Vol 150 (4) ◽  
pp. 1513-1525 ◽  
Author(s):  
Yuji Yasukochi

Abstract A dense linkage map was constructed for the silkworm, Bombyx mori, containing 1018 genetic markers on all 27 autosomes and the Z chromosome. Most of the markers, covering ∼2000 cM, were randomly amplified polymorphic DNAs amplified with primer-pairs in combinations of 140 commercially available decanucleotides. In addition, eight known genes and five visible mutations were mapped. Bombyx homologues of engrailed and invected genes were found to be closely linked, as in Drosophila melanogaster. The average interval between markers was ∼2 cM, equal to ∼500 kb. The correspondence of seven linkage groups to counterparts of the conventional linkage map was determined. This map is the first linkage map in insects having a large number of chromosomes (n = 28) that covers all chromosomes without any gaps.


2016 ◽  
Vol 83 (2) ◽  
Author(s):  
. PRIYONO ◽  
Riza Arief PUTRANTO

AbstrakAnalisis genetik telah  menjadi alat yang penting  dalam  pemuliaan  tanaman untuk perbaikan sifat penting tanaman. Salah satu potensi terbesar dari analisis tersebut adalah identifikasi penanda molekuler yang berguna untuk pemetaan genetik. Pemetaan genetik  merupakan  salah satu langkah penting dari analisis  genetik.  Intisari  dari   semua pemetaan genetik adalah  menempatkan  koleksi  pe- nanda molekuler pada posisi tertentu dalam genom. Hal tersebut dapat kemudian digunakan untuk meng- identifikasi lokus sifat kuantitatif (QTLs) dengan memanfaatan keragaman genetik alami yang tersedia dan meningkatkan sifat-sifat penting serta berharga. Sampai saat ini, tiga belas peta genetik telah dipublikasi dan tersedia pada Coffea sp. yang menciptakan database besar untuk kerangka genetik. Sebuah peta genetik terbaru dengan akses terbuka dan berfungsi sebagai referensi telah dibangun oleh International Coffee Genomics Network (ICGN). Peta tersebut tediri dari 3230 lokus, dengan panjang peta 1471 cM (1cm ~ 500 Kb) serta kepadatan satu penanda setiap 220 Kb. Peta-peta genetik pada tanaman kopi telah digunakan dari karakterisasi gen hingga analisis komparatif genom dengan spesies tanaman yang berbeda. Saat ini, pesatnya kemajuan teknologi New Genome Sequencing (NGS) untuk sekuensing DNA dan RNA memungkinkan validasi dari peta-peta genetik untuk prediksi QTLs serta gen-gen yang membawa sifat penting Coffea sp.AbstractGenetic analysis has become an important tool in plant breeding for crop improvement. One of their greatest potential appears to be the identification of molecular markers useful for genetic mapping. Genetic mapping is one of important steps in genetic analysis. The essence of all genetic mapping is to place a collection of molecular markers onto their respective positions on the genome. Thus, it leads to identification of new quantitative trait loci (QTLs) by making benefits of natural available genetic diversity.and to improve important and valuable traits. Until present, thirteen genetic maps were published and available in Coffea sp. creating a huge database for genetic framework. One most recent and open reference genetic map for robusta coffee has been generated by the International Coffee Genomics Network (ICGN) comprising 3230 loci, genetic size 1471 cM (1cM ~500 Kb), with an average density close to one marker every 220 Kb. The Coffea genetic maps have been utilized from gene characterization to genomic comparative analysis with different plant species. Nowadays, the feasibility of NGS for DNA and RNA sequencing allow the validation of genetic map related to the prediction of QTLs and adjacent genes related to important traits for Coffea sp. 


2021 ◽  
Author(s):  
Jianhua Zhao ◽  
Haoxia Li ◽  
Yuhui Xu ◽  
Yue Yin ◽  
Ting Huang ◽  
...  

Abstract Background: Lycium Linn. (Solanaceae) is a genus of economically important plants producing fruits and leaves with high nutritional value and medicinal benefits. However, genetic analysis of this plant and molecular breeding for quality improvement are limited by the lack of sufficient molecular markers. Results: In this study, two parental strains, ‘Ningqi No. 1’ (Lycium barbarum L.) and ‘Yunnan Gouqi’ (Lycium yunnanense Kuang et A.M. Lu), and 200 F1 hybrid individuals were resequenced for genetic analysis. In total, 8,507 well-selected SNPs were developed, and a high-density genetic map (NY map) was constructed with a total genetic distance of 2,122.24 cM. A consensus genetic map was established by integrating the NY map and a previously published genetic map (NC map) containing 15,240 SNPs, with a total genetic distance of 3,058.19 cM and an average map distance of 0.21 cM. The 12 pseudochromosomes of the Lycium reference genome were anchored using this consensus genetic map, with an anchoring rate of 64.3%. Moreover, weak collinearities between the consensus map and the pepper, potato, and tomato genomes were observed. Twenty-five stable QTLs were identified for leaf- and fruit-related phenotypes, including fruit weight, fruit longitude, leaf length, the fruit index, and the leaf index; these stable QTLs were mapped to four different linkage groups, with LOD scores ranging from 2.51 to 19.37 and amounts of phenotypic variance explained from 6.2% to 51.9%. Finally, 82 out of 188 predicted genes underlying stable QTLs for fruit-related traits were differentially expressed according to RNA-seq analysis. Conclusions: A chromosome-level assembly can provide a foundation for further functional genomics research for wolfberry. The genomic regions of these stably expressed QTLs could be used as targets for further fine mapping and development of molecular markers for marker-assisted selection (MAS). The present study provided valuable information on saturated SNP markers and reliable QTLs for map-based cloning of functional genes related to yield and morphological traits in Lycium spp.


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