Experimental site and Plant material
The experiment was conducted at research farm of Bahauddin Zakariya University, Multan weather is characterized as subtropical semi-arid with hot summer and cold winters. In summer season (late May and June) temperature often crosses 50 °C. Therefore, cotton crop grown in April and early May face high temperature at the start of reproductive stage. In this experiment, we applied natural high temperature by sowing the crop in early April to have maximum implication in the field. Two parents [FH-Lalazar (High temperature susceptible) and CRIS-9 (high temperature tolerant)] were selected from genotypes based on morphological data as well as boll retention percentage under high temperature. The variety FH-Lalazar was developed at Cotton Research Station Faisalabad whereas CRIS-9 was developed at Cotton Research Institute Sakrand, Pakistan. True to type seed of the varieties was collected from the respective research institute to rule out any seed adulteration. The selected parents were grown in the glasshouse under controlled conditions. The parents were crossed following standard protocol to produce F1. At maturity, F1 seed was harvested from plants and sown in the field. To produce F2 seed, flowers of F1 plants were bagged to avoid contamination and tagged for reference. The segregating F2 population was developed and grown in the field in first week of May 2019, following all cultural practices. Reason for early May sowing was that maximum of the flowering can occur at peak temperature to apply natural high temperature (Iqbal et al. 2019).
Data collection
The morphological data were recorded from a total of 129 plants of F2. For other morphological and yield related data, individual plants were screened for final plant height (cm), counts of monopodial and counts of sympodial branches, total counts of bolls per plant, seed index, counts of nodes to first monopodia as well as ginning out turn (GOT%).
Data for boll retention percentage was collected throughout the season where the reproductive phase started from mid-June, when the average temperature was 40+ °C and flowering retain or shedding contributed to the total boll retention. Boll retention percentage was calculated as by (Iqbal et al. 2017).
Fibre quality analysis was conducted through HVI machine available at Central Cotton Research Institute Multan, for staple length (mm), fibre strength (g/tex) and fibre fineness (U).
Molecular studies
Eight selected genes, GhPP2A1, HSFA2, GHSP26, HSP3, HSC70-1, HSP101, ANNAT8, and APX1 (Additional file 1: Table A1) to select the contrasting genes. Two genes (GHS101 and GHSP26) were further selected for molecular characterization the F2 population for boll retention percentage. Primer sequence of all the genes are presented in Additional file 1: Table A1.
DNA was extracted from parental (P1 and P2) population as well as segregating (F2) population as by (Doyle and Doyle, 1987). Selected gene segments were amplified through PCR for about 35 cycles for each of the gene specific primers used in the reaction mixture. Reaction mixture consisted of the resulted bands were examined in gel documentation system using agarose gel (1.5 %) and the fluorescent dye used as ethidium bromide. Scoring of the bands was done based on the desired gene presence or absence. The genes which were present in heat tolerant parent and absent in heat susceptible parent were selected to screen F2 population in Additional file 2: Table 2.
Statistical analyses
All collected data were undergone statistical analyses. Data for all traits of F2 population was used to develop histogram to understand the nature of gene controlling them. F2 data were further analysed for correlation analyses as developed by (Dewey and Lu, 1959).
Inheritance nature of the selected genes was analysed by means of Chi-square analysis according to (Pearson 1899) as per following formula.
$${{\chi }}^{2}=\sum \frac{{(\text{O} - \text{E})}^{2}}{E}$$
Where: O is the observed frequency of specific gene and E is the expected frequency of specific gene as per Mendel’s law of segregation.