Multi-environment QTL analyses for drought-related traits in a recombinant inbred population of chickpea (Cicer arietinum L.).

A recombinant inbred line (RIL) population, comprising 181 lines derived from ILC588 × ILC3279, was evaluated in 10 environments across three locations with different moisture gradients. A drought resistance score (DRS) and three phenology traits-plant height (PLHT), days to flowering (DFLR), and days to maturity (MAT)-were recorded along with seven yield-related traits-grain yield (GY), biological yield (BY), harvest index (HI), the number of pods/3 plants (Pod), percentage of empty pods (%Epod), 100 seed weight (100 sw), and seed number/3 plants (SN). Two RILs (152, 162) showed the best GYs and DRSs under stressed and non-stressed environments. The quantitative trait loci (QTLs) analyses detected 93 significant QTLs (LOD ≥ 2.0) across the genome × environment interactions. The highest phenotypic variation (>24 %) was explained by the QTLDFLR in Terbol-11. Four common possible pleiotropic QTLs on LG3 and LG4 were identified as associated with DFLR, DRS, GY, MAT, HI, SN, and Pod. No significant epistatic interactions were found between these QTLs and the other markers. However, the QTL for DRS was detected as a conserved QTL in three late planting environments. The markers H6C-07 (on LG3) and H5G01 (on LG4) were associated with QTLs for many traits in all environments studied except two. The allele 'A' of marker H6C07 (from the tolerant parent ILC588) explained 80 % of the yield increase under late planting and 29.8 % of that under dry environments. Concentrating on LG3 and LG4 in molecular breeding programs for drought could speed up improvement for these traits.

Pathotype IV, a New and Highly Virulent Pathotype of Didymella rabiei, Causing Ascochyta Blight in Chickpea in Syria.

The causal agent of Ascochyta blight disease of chickpea (Cicer arietinum L.) is highly variable because of the presence of a sexual phase (Didymella rabiei). There is also selection pressure on the pathogen due to wide adoption of improved resistant chickpea cultivars in some countries. The pathogen is able to produce pathotypes with specific virulence on particular cultivars. Three pathotypes, I, II, and III, have been reported (3). In this study, we confirmed the presence of a new and highly virulent pathotype that we designate as pathotype IV. To test the pathogenicity of the isolates collected and maintained at ICARDA, 10 isolates representing a wide spectrum of pathogenic variation, including those classified by S. M. Udupa et al. (3) and a putatively identified more virulent type, which was collected from a chickpea production field in the Kaljebrine area, Syria, were inoculated onto a set of differential chickpea genotypes. The differential genotypes, ILC 1929, ILC 482, ILC 3279, and ICC 12004, were sown in individual 10-cm-diameter pots containing potting mix and arranged in a randomized block design with three replications in a plastic house maintained at 18 to 20°C. Each differential genotype was inoculated individually with the 10 isolates following the methodology of S. M. Udupa et al. (3). DNA was extracted from single-spored isolates to compare the genotypes of the isolates using three simple sequence repeat (SSR) markers (ArA03T, ArH05T, and ArH06T) (2) and to determine the frequency of mating types (MAT) through the use of MAT-specific PCR primers for MAT1-1 and MAT1-2 (1). Host genotype reactions were measured on a 1 to 9 rating scale (1 = resistant and 9 = plant death). On the basis of the pathogenicity tests, the isolates were classified into four pathotypes: I (least virulent, killed ILC 1929 but not ILC 482, ILC 3279, or ICC12004); II (virulent, killed ILC 1929 and ILC 482 but not ILC 3279 or ICC12004); III (more virulent, killed ILC 1929, ILC 482, and ILC 3279 but not ICC12004); and IV (highly virulent, killed all four host differentials). Of 10 single-spore isolates tested, four showed similar disease reactions unique to pathotype I, four revealed pathotype II reactions, and one isolate each behaved like pathotype III or pathotype IV. SSR fingerprinting of these isolates provided evidence for genetic diversity since SSR ArH05T was highly polymorphic and amplified five bands, including pathotypes III- and IV-specific bands, which need further investigation to discern if this locus has any role to play in the virulence. MAT-type analysis showed that seven isolates were MAT1-1 while the remaining three isolates were MAT1-2. Only pathotype I showed the profile of MAT1-2 and the other three pathotypes were MAT1-1. Initially, a number of chickpea wild relatives were screened to identify sources of resistance to pathotype IV, but none of the accessions tested showed resistance. However, efforts are underway to combine minor and major gene(s) available in the breeding program in addition to a further search of the wild gene pools to control pathotype IV. References: (1) M. P. Barve et al. Fungal Genet. Biol. 39:151, 2003. (2) J. Geistlinger et al. Mol. Ecol. 9:1939, 2000. (3) S.M. Udupa et al. Theor. Appl. Genet. 97:299, 1998.

Potassium channel openers exhibit cross-tolerance with morphine in two experimental models of pain.

OBJECTIVE: The study was performed to assess the effect of potassium channel openers on morphine tolerance and vice-versa. METHODS: Swiss albino mice of either gender weighing between 25-30 g were used for the study The study assesses the effect of potassium channel openers (cromakalim, diazoxide and minoxidil) on morphine tolerance and vice-versa, using formalin and tail-flick tests. RESULTS: The antinociceptive effect of cromakalim and minoxidil was significantly reduced when administered to morphine-tolerant mice, in both the behavioural tests. However reduced analgesic effect of diazoxide was observed on morphine-tolerance in the formalin test but not in the tail-flick test. Tolerance was observed when morphine was administered to animals chronically treated with any of the potassium channel openers. The same effect was observed when morphine was injected into a group treated with a combination of morphine and any of the potassium channel openers. CONCLUSIONS: This study, therefore, suggests that both morphine and potassium channel openers are cross-tolerant. However such interaction occurs at the level of potassium channels rather than at the level of receptors.

Gene action for cold tolerance in chickpea.

Six crosses were investigated using combining ability and generation mean analyses for reaction to cold tolerance in chickpea (Cicer arietinum L.). The combining ability variances revealed the significance of both additive and nonadditive gene effects, with preponderance of additive gene effects. The generation mean analysis revealed the presence of genie interactions in addition to additive and dominance gene effects. Among the interactions, additive×additive and dominance×dominance with duplicate epistasis were present. Cold tolerance was dominant over susceptibility to cold. Selection for cold tolerance would be more effective if dominance and epistatic effects were reduced after a few generations of selfing.

Tightly linked di- and tri-nucleotide microsatellites do not evolve in complete independence: evidence from linked (TA)n and (TAA)n microsatellites of chickpea (Cicer arietinum L.).

In order to understand the dynamics of microsatellite evolution, we have studied allelic variation at a closely linked (TA)(n) and (TAA)(n) microsatellite loci in 114 land races of chickpea ( Cicer arietinum L.), sampled worldwide. These two loci are separated by 27 bp. The two loci showed a very high degree of polymorphism and hence the combined length with the genetic diversity of 0.93, 0.90 and 0.98 for (TAA)(n), (TA)(n) and the combined length, respectively. Using the variation data at the linked loci, a standardized index of linkage disequilibrium was also computed ( I(S)(A)=0.092), which tests the null hypothesis of no linkage and was significant, indicating the presence of linkage disequilibrium. Furthermore, the dynamics of allelic variation showed that there is a threshold combined length, below which both (TAA)(n) and (TA)(n) loci evolve independently, and above which, if one locus increase in size, the other closely linked locus has a tendency to decrease its size and vice versa, without change in the overall ratio of (TAA)(n) and (TA)(n) allele sizes at the region. This result indicates that there are processes in the cell, which 'read' the combined size of the two loci both for proportion and length and determine the direction of tightly linked di- and tri-nucleotide repeat evolution.