جستجوی مقالات مرتبط با کلیدواژه "ارزن دم روباهی" در نشریات گروه "بیوتکنولوژی و ژنتیک گیاهی"

Drought stress is one of the most important factors limiting production in the agricultural sector. The use of drought-tolerant alternative plants with high water use efficiency is of great importance. Foxtail millet (Setaria italica L.) is one of the important drought tolerant fodder and food grains in semi-arid regions. In this study, drought stress associated QTLs were collected and located on the integrated genetic map of millet chromosomes. From a total of eight studies, 386 QTLs associated with yield controlling traits including plant height, water use efficiency, plant biomass, root length and panicle length were collected in foxtail millet. Under drought stress and normal irrigation conditions, 96 and 287 QTLs were collected and projected on the reference consensus genetic map, respectively. The meta-analysis of QTLs was conducted using BioMercator software V4.2. A total of 32 meta-QTLs (MQTLs) were detected on 9 foxtail millet chromosomes with a confidence interval of 3.4 times lower than the average of the original QTLs. In order to investigate the pattern of gene expression in the MQTL regions, available microarray and RNA-seq data sets in the databases were analyzed. Based on the achieved results, 95 and 2172 differentially expressed genes at drought conditions were identified in 4 MQTLs with a CI of less than 1 Mbp and in all MQTL regions, respectively. Also, eight key genes were identified by the hub analysis which belong to transcription factors and regulatory elements. We hope that the results of this study would be useful for marker assisted selection (MAS) and foxtail millet breeding programs with the aim of development of new high yielding drought-tolerant genotypes.

Identification of associated markers with important agricultural traits is one of the most important methods for accelerating the transfer of desirable traits to other genotypes and their tracking. The aim of this research was to study thegenetic diversity and identification of molecular markers related to drought tolerance traits in foxtail millet [Setaria italica (L.) P. Beauv.]genotypes using the AFLP molecular marker.

In this study, 21 genotypes of foxtail millet were studied in three growing seasons (2013, 2014 & 2016). Drought tolerance indices and correlation between them with grain yield and biological yield were calculated. In order to identify molecular markers associated with drought tolerance traits, association analysis was performed by using the Mixed Linear Model (MLM) and 12 primer combinations of AFLP. Also, marker indices and principal components analysis (PCA) were performed using GenAlEx 6.5 software

The primer combinations used in this study generated a total of 443 scorable bands, of which 316 (71%) were polymorphic. The mean of polymorphism information content (PIC) was 0.24, the mean of Shannon index was 0.38, and the mean of Marker index was 6.22. Also, M-CTG/E-ACC, M-CAA/E-ACC and M-CTA/E-AAC were the most efficient combinations in investigating the diversity of genotypes studied. Based on the results of PCA, the first and second components justify 61.13 percent of the changes. The results of this study showed that HARM, GMP, and MP indices were the best indices for differentiation of drought tolerant samples, and M-CAA/E-AAC-14 and M-CTG/E-ACC-283 markers according to Grain yield and M-CTT/E-ACC-264 markers according to biological yield, were related to these indicators.

According to the results of this study, the HARM, GMP and MP indices could be considered as the best indicators for differentiation of drought tolerant foxtail millet samples. Also, molecular markers associated with these indices can be used to evaluate the drought tolerance of other genotypes in future breeding programs.

Considering the importance and application of informative markersin the plant breeding programs, the current research aimed to identify the markers related to morphological traits using the association analysisin foxtail millet genotypes.
 

The current study attempts to identify molecular markers relevant to morphological traits of 30 foxtail millet (Setaria italica L.) genotypes by applying an association analysis through a Mixed Linear Model (MLM). In order to avoid false linkage, a population structure study was first performed and 9 probable subgroups were observed in the studied genotypes.
 

Association analysis, having taken the structure of the population and kinship relations into consideration in the 30 foxtail millet genotypes in question, represented 38 points of linkage with 12 morphological traits. The coefficient of determination at a highly significant level (P<0.01) was variable from 0.102 and 0.328. The results showed that among the 12 primer combinations of AFLP used in this study, M-CTG/E-AAC, M-CTT/E-AAC and M-CTA/E-AAC were the most efficient in investigating the variety of the genotypes. Also, a number of markers such as M-CAA/E-AAC, M-CTG/E-AGC and M-CTT/E-AAC were connected to several traits such as height, leaf length and width, number of tillers, 1000- seed weight and grain yield, among which the highest connection was with M-CTT/E-AAC.
 

Identifying joint markers is of paramount importance in plant breeding plans because they make simultaneous selection of several traits possible. These markers can be used in screening germplasms in the presence of close linkages with the controlling genes. They also can be used in QTL identification programs in genotyping of foxtail millet cross populations. Therefore, the findings of this study can be applied in primary selection and breeding plans of foxtail millet using a Marker-Assisted Selection (MAS) process.