All samples should be used to assembly one result, my workflow:
1: 
Trinity --seqType fq --max_memory 20G --samples_file sample_file.config  --genome_guided_bam ref_sorted.bam --genome_guided_max_intron 10000 --CPU 60
Find assembled transcripts as: trinity_out_dir/Trinity-GG.fasta
sample_file.config  is a txt file; suppose  have 4 samples and everyone has 3 replicates, sample_file.config like below:
sample1    sample1-rep1    sample1-rep1_1.fq    sample1-rep1_2.fq
sample1    sample1-rep2    sample1-rep2_1.fq    sample1-rep2_2.fq
sample1    sample1-rep3    sample1-rep3_1.fq    sample1-rep3_2.fq
sample2    sample2-rep1    sample2-rep1_1.fq    sample2-rep1_2.fq
sample2    sample2-rep2    sample2-rep2_1.fq    sample2-rep2_2.fq
sample2    sample2-rep3    sample2-rep3_1.fq    sample2-rep3_2.fq
sample3    sample3-rep1    sample3-rep1_1.fq    sample3-rep1_2.fq
sample3    sample3-rep2    sample3-rep2_1.fq    sample3-rep2_2.fq
sample3    sample3-rep3    sample3-rep3_1.fq    sample3-rep3_2.fq
sample4    sample4-rep1    sample4-rep1_1.fq    sample4-rep1_2.fq
sample4    sample4-rep2    sample4-rep2_1.fq    sample4-rep2_2.fq
sample4    sample4-rep3    sample4-rep3_1.fq    sample4-rep3_2.fq
before run trinity assembly, align all the fq files to the elephant shark geome(hisat), then merge(samtools) all the sam format result to "ref_sorted.bam";
2: Transcript Quantification with salmon
trinityrnaseq-v2.11.0/util/align_and_estimate_abundance.pl \
    --transcripts ./trinity_out_dir/Trinity-GG.fasta \
    --seqType fq \
    --samples_file sample_file.config \
    --output_dir salmon_transcript_quantification \
    --aln_method bowtie2 \
    --thread_count 60 \
    --est_method salmon \
    --trinity_mode --prep_reference
3: DE analyse with DESeq2
trinityrnaseq-v2.11.0/Analysis/DifferentialExpression/run_DE_analysis.pl \
    --matrix salmon_transcript_quantification/salmon.gene.counts.matrix \
    --method DESeq2 \
    --samples_file sample_file.config \
    --contrasts contrasts.file \
    --output Differential_Expression_Analysis
contrasts.file like below(suppose sample1 vs sample2, sample3 vs sample4 for DE analyse):
sample1    sample2
sample3    sample4
reference: https://github.com/trinityrnaseq/trinityrnaseq/wiki
                    
                
                 
Did you try to run Trinity with in silico normalization to 50x coverage using all reads? I think, this would be the best solution if you don't have enough RAM.
Thank you for the advise, Shelkmike! I'll try to run it this way. Jaime