Analyzing the Interdependence Between Some Certain Gene Loci by Epistasis Measures in Fitness Landscapes of Schemata

GA-hardness and interdependence between genes in the chromosome are important questions in the study of genetic algorithms (GA) ,Traditional methods,which are used to measure the interaction between genes,can only reflect the extent of epistasis between all genes in the chromosome, Therefore,the definition of the fitness landscape of schemata is proosed in this paper,and epistasis measures on this landscape of schemata are used to analyze the degree of interdependence between some certain gene loci in study ,Some information between these sites can be reflected by some characters of the fitness landscape of schemata which are composed of these fixed sites,The stronger the interaction between these sites,the larger the variation of the fitness of schemata whose fixed sites correspond to those sites in study ,and the more rugged the fitness landscape of these schemata,According to the degree of interaction between given gene loci ,building blocks of GA can be analyzed and determined,and further genetic operators and the structure of GA can be designed and adjusted to improve the perfomance of GA ,At last,a lot of experiments including NK-models are done,and results of empirical analysis show that this method is effective.     

Identification of quantitative trait loci and epistasis for root characteristics and root exudations in maize （Zea mays L.） under deficient phosphorus

The phosphorus uptake （PU） in above-ground parts of plant, root characteristics and root exudations as well as the quantitative trait loci （QTLs） associated with these characteristics were determined for a F2：3 population derived from the cross of two contrasting maize （Zea mays L.） genotypes, 082 and Yel07. A total of 241 F2：3 families were evaluated in replicated trials under deficient phosphorus conditions in 2007 at two sites （Kaixian County and Southwest University, Chongqing, P. R. China）. The results show pleiotropy and close linkage among QTLs. Four common regions in different environments were in bnlg100- bnlg1268b （bins 1.02） for QTL of H＋, bnlg1268a-umc1290a （bins 1.09） for QTL of AP （acid phospbatase activity）, dupssrl5- P 1MT/a （bins 6.06） for QTLs of PU （phosphorus uptake） and RW （root weight）, and P IM3/d-P1M3/g （bins9.04） for QTLs of PU and AP. These QTLs are non-environment or minor QTLs x environment. By epistatic analysis, three main QTLs and eighteen QTLs x QTLs interactions were detected for the seven measured characteristics. These QTLs may affect trait expression by epistatic interaction with the other loci, and make a substantial contribution to phosphorus utilization efficiency, which should be considered when breeding maize varieties with high P efficiency. Two regions were detected in dupssrl 5- P1MT/a （bins 6.06） for QTL of RW and P1M3/d- P 1M3/g （bins 9.04） for QTL of PU and AP. They were detected in two different environments and by two methods of QTL analysis, which were useful for marker-assisted selection.     

黑腹果蝇翅型基因相互作用的研究

选取纯种残翅果蝇和纯种小翅果蝇作亲本,分别进行正交和反交,F1自交,观察F2的翅型种类和性别.结果表明：（1）正交组合的F1果蝇无论雌雄皆为长翅,F2果蝇长翅∶小翅∶残翅接近于9∶3∶4,且小翅全为雄蝇.（2）反交组合的F1果蝇中,长翅全为雌蝇,小翅全为雄蝇,而F2果蝇的长翅∶小翅∶残翅接近于6∶6∶4,且各翅型雌雄蝇各占1/2.结论：果蝇翅型基因互作类型为隐性上位,正反交F2比例不同.     

Genomic mosaicism due to homoeologous exchange generates extensive phenotypic diversity in nascent allopolyploids

Allopolyploidy is an important process in plant speciation, yet newly formed allopolyploid species typically suffer from extreme genetic bottlenecks. One escape from this impasse might be homoeologous meiotic pairing, during which homoeologous exchanges (HEs) generate phenotypically variable progeny. However, the immediate genome-wide patterns and resulting phenotypic diversity generated by HEs remain largely unknown. Here, we analyzed the genome composition of 202 phenotyped euploid segmental allopolyploid individuals from the fourth selfed generation following chromosomal doubling of reciprocal F1 hybrids of crosses between rice subspecies, using whole-genome sequencing. We describe rampant occurrence of HEs that, by overcoming incompatibility or conferring superiority of hetero-cytonuclear interactions, generate extensive and individualized genomic mosaicism across the analyzed tetraploids. We show that the resulting homoeolog copy number alteration in tetraploids affects known-function genes and their complex genetic interactions, in the process creating extraordinary phenotypic diversity at the population level following a single initial hybridization. Our results illuminate the immediate genomic landscapes possible in a tetraploid genomic environment, and underscore HE as an important mechanism that fuels rapid phenotypic diversification accompanying the initial stages of allopolyploid evolution.