A molecular approach to identify components of photoperiod induced dormancy in alfalfa (Medicago sativa L.)

 

Diane Luth1, Randy C. Shoemaker2, and E. Charles Brummer1

 

1 Agronomy Department, Iowa State University, Ames IA

  50011-1010

 

2   USDA-ARS, Corn Insect and Crop Genetics Research Unit,

  Agronomy Department, Iowa State University, Ames IA

  50011-1010

 

Alfalfa plants characterized as fall dormant react to changes in daylength and temperature during the onset of autumn-like conditions.  The premature dormancy results in reduced yields due to growth reduction in late summer and early fall.  Fall dormant plants are also slower to resume shoot growth in the spring and following harvest in summer. Therefore breeding alfalfa cultivars with less fall dormancy would be desirable.  Dormancy is regulated by the interactions of environmental factors including photoperiod and temperature, the physiological status of the plant, and the plant genotype.  The mechanisms controlling dormancy in alfalfa are not well understood, nor are the ensuing effects on winter survival.  We have undertaken 2 approaches to study dormancy related gene expression focusing on photoperiod:  RNA profiling and cDNA subtractive hybridization.  For the RNA profiling approach, cDNA libraries were constructed from dormant and nondormant genotypes of Medicago sativa subsp. sativa and falcata grown under dormancy inducing and noninducing photoperiod regimes at a constant temperature.  Microarrays will be made from the isolated cDNAs and used to analyze photoperiod induced gene expression in alfalfa genotypes differing in dormancy response. The mRNA populations used to measure transcript abundance include genotypes grown under both natural field and controlled (photoperiod and temperature) conditions.  Expression will be determined for different tissue types in the plants. Concurrently we are also pursuing a subtractive cDNA subtractive approach utilizing Wisfal–6.  This procedure allows us to equalize transcript abundance and subtract out transcripts expressed in both inducing and non-inducing regimes, increasing the possibility of obtaining differentially expressed rare transcripts.  The differentially expressed genes from the RNA profiling approach and the cDNA subtractive studies will be sequenced and mapped.  The information from alfalfa will then be used to investigate synteny among photoperiod and dormancy associated genes in soybean and Arabidopsis.    

 

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